@Article{info:doi/10.2196/68091, author="Goldberg, Nina and Herrmann, Christin and Di Gion, Paola and Hautsch, Volker and Hefter, Klara and Langebartels, Georg and Pfaff, Holger and Ansmann, Lena and Karbach, Ute and Wurster, Florian", title="Sociodemographic and Socioeconomic Determinants for the Usage of Digital Patient Portals in Hospitals: Systematic Review and Meta-Analysis on the Digital Divide", journal="J Med Internet Res", year="2025", month="Jun", day="3", volume="27", pages="e68091", keywords="patient portal", keywords="digital divide", keywords="hospital", keywords="meta-analysis", keywords="socioeconomic", keywords="sociodemographic", keywords="e-Health", abstract="Background: Digital patient portals (PPs) are platforms that enhance patient engagement and promote active involvement in health care by providing remote access to personal health data. Although many hospitals are legally required to offer these portals, adoption varies widely among patients, often influenced by sociodemographic and socioeconomic determinants. Evidence suggests that higher income, education, employment status, and specific age groups correlate with increased portal usage, highlighting a digital divide. This study aims to analyze sociodemographic and socioeconomic determinants affecting digital PP usage, addressing inconsistencies in existing research and contributing to strategies for reducing digital health disparities. Objective: This study aimed to conduct a meta-analysis of the sociodemographic and socioeconomic factors contributing to the digital divide in the usage of digital PPs. Methods: A systematic review with meta-analysis was conducted using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines in PubMed, Web of Science Core Collection, and EBSCOhost. Screening involved 3 reviewers with consensus meetings to resolve discrepancies. Data on sociodemographic and socioeconomic factors and statistical outcomes were extracted, and study quality was assessed using the Mixed Methods Appraisal tool. Results were visualized using forest and funnel plots to assess heterogeneity and publication bias. Results: A total of 2225 studies were identified through a systematic review, and after title and abstract screening, 17 studies were included in the quantitative and qualitative analysis. The qualitative analysis revealed that younger patients (younger than 65 y) were significantly more likely to use the digital PP, while the meta-analysis revealed that women had a 16\% higher likelihood of using the digital PP than men. The relationship between income and digital PP usage was inconsistent, due to different scaling in different studies. A higher level of education was significantly associated with a 37\% greater likelihood of using the digital PP in the meta-analysis. In addition, employed patients were 23\% more likely to use the digital PP, while married patients had a 13\% higher likelihood of using it than unmarried patients. Marital status and employment can be considered as measurable factors of social relationships. Conclusions: The review confirms that sociodemographic and socioeconomic factors significantly influence the usage of digital PP in hospital care. Marital status shows that social support plays a vital role, with married patients 13\% more likely to engage with digital PPs. It is worth noting that social support through connections to society via work or work colleagues can also play an important role as like as a partner at home, with employed individuals being 22\% more likely to use digital PPs. Overall, sociodemographic factors, like marital status, primarily affect usage patterns, while socioeconomic factors, like employment, enable access, emphasizing the need for comprehensive support systems to bridge the digital divide in health care. Trial Registration: German register of clinical trials DRKS00033125; https://drks.de/search/de/trial/DRKS00033125 and PROSPERO CRD42024567203; https://www.crd.york.ac.uk/PROSPERO/view/CRD42024567203 ", doi="10.2196/68091", url="https://www.jmir.org/2025/1/e68091" } @Article{info:doi/10.2196/62696, author="Andreadis, Katerina and Buderer, Nancy and Langford, Tene Aisha", title="Patients' Understanding of Health Information in Online Medical Records and Patient Portals: Analysis of the 2022 Health Information National Trends Survey", journal="J Med Internet Res", year="2025", month="May", day="30", volume="27", pages="e62696", keywords="patient portals", keywords="health literacy", keywords="mobile apps", keywords="digital health", keywords="online medical records", keywords="online health information", keywords="patient-focused care", keywords="health technology", abstract="Background: The 21st Century Cures Act mandated instant digital access for patients to see their test results and clinical notes (eg, via patient portals). Entirely using and understanding such health information requires some degree of personal health literacy. Objective: This study aims to assess the associations between ease of understanding online health information and various factors, including sociodemographics, health-related variables, numeracy, and technology-related factors. Methods: This cross-sectional study used data from the National Cancer Institute's 2022 Health Information National Trends Survey (HINTS), a nationally representative survey of US adults that tracks individuals' access and use of their health information. Data was collected from March to December 2022. The survey was conducted across various US settings using a stratified multistage sampling technique to ensure national representation. Our analysis included 3016 respondents with data for all variables of interest. We conducted bivariate and multivariate analyses to assess the odds of finding health information in online medical records or patient portals as ``very easy'' to understand compared with ``not very easy.'' Results: In the multivariate analysis, age group (with the 35-49 years group being 1.9 times more likely compared to the ?75 years group; P=.03), female birth sex (1.4 times more likely; P=.04), ease of understanding medical statistics (8.5 times more likely for those finding it ``very easy''; P<.001), patient-provider communication score (increase of 1.1 odds per 1 unit increase; P<.001), and mode of accessing online records (1.8 times more likely via an app and 1.4 times more likely via both an app and website, P=.01 and P=.003, respectively, versus using a website alone) were significant predictors for finding health information ``very easy'' to understand. Conclusions: Sociodemographic factors, numeracy, patient-provider communication, and method of accessing online records were associated with ease of understanding health information in online medical records or patient portals. Findings from this study may inform interventions to make patient portals and online medical records more patient-centered and easier to navigate. ", doi="10.2196/62696", url="https://www.jmir.org/2025/1/e62696" } @Article{info:doi/10.2196/71038, author="Mathioudakis, Nestoras and Wolf, Risa and Choudhary, Abha and Davis, Georgia and Gallagher, Pat Mary and Gupta, Meenal and Kamboj, Manmohan and Rioles, Nicole and Ospelt, Emma and Thapa, Susan and Weinstock, S. Ruth and Wright, Trevon and Ebekozien, Osagie", title="Implementation and Evaluation of a Best Practice Advisory to Reduce Inequities in Technology Use for People With Type 1 Diabetes: Protocol for a Mixed Methods, Nonrandomized Controlled Trial", journal="JMIR Res Protoc", year="2025", month="May", day="28", volume="14", pages="e71038", keywords="equity", keywords="disparities", keywords="continuous glucose monitor", keywords="automated insulin delivery system", keywords="insulin pump", keywords="type 1 diabetes", keywords="best practice advisory", keywords="practice advisory", keywords="clinical decision support", abstract="Background: Continuous advancements in diabetes technologies have improved self-management for people with type 1 diabetes. Continuous glucose monitoring and automated insulin delivery systems have enhanced the quality of life and glycemic outcomes while reducing severe hypoglycemia and diabetes ketoacidosis hospitalizations. Despite these benefits, racial inequities in the use of advanced diabetes technology (ADT) persist. Objective: This study aims to develop and evaluate a best practice advisory (BPA) within the electronic medical record (EMR) to reduce racial and ethnic disparities in ADT use. We hypothesize that an EMR-based BPA designed to standardize the prescribing of ADTs will minimize racial and ethnic disparities in ADT adoption or progression in use among pediatric and adult people with type 1 diabetes. Methods: The Best Practice Advisories to Reduce Inequities in Technology Use (BPA-TECH) study will use a nonrandomized matched pair intervention design. Phase 1 will use qualitative methods to develop and refine the BPA, including focus groups and surveys of health care providers and people with type 1 diabetes or their caregivers. Phase 2 will evaluate the effectiveness of the BPA through a controlled before-after study of people with type 1 diabetes seen at 7 T1D Exchange Quality Improvement Collaborative (T1DX-QI) centers, with control people with type 1 diabetes matched from nonintervention T1DX-QI centers. The baseline and postintervention periods will be the 12 months before and 12 months after deployment of the BPA at the intervention centers, respectively. Eligibility criteria include people with type 1 diabetes aged ?2 years with an EMR diagnosis of T1D during the baseline period. The primary outcome is the progression in ADT use from the baseline to postintervention periods. Results: This 3-year study began in July 2024, with data collection from key stakeholders for phase 1 qualitative research beginning in August 2024. For phase 2, we estimate approximately 3000 eligible non-Hispanic Black and Hispanic people with type 1 diabetes at the intervention centers and 15,000 matched controls. Data on ADT use, glycated hemoglobin (HbA1c), severe hypoglycemic events, and diabetes ketoacidosis events will be collected via the T1DX-QI coordinating center. The study is powered to detect a between-group difference of 15\% in the proportion of patients in the intervention and control groups in meeting the primary endpoint. We anticipate the completion of this study by May 2027. Conclusions: The BPA-TECH study aims to leverage health IT to address racial and ethnic disparities in ADT use among people with type 1 diabetes. By standardizing the approach to ADT prescribing for people with type 1 diabetes, the BPA-TECH has the potential to promote equity in diabetes management and improve clinical outcomes. The outcomes of this study will inform future efforts to reduce health care disparities. Trial Registration: ClinicalTrials.gov NCT06931275; https://clinicaltrials.gov/search?term=NCT06931275 International Registered Report Identifier (IRRID): DERR1-10.2196/71038 ", doi="10.2196/71038", url="https://www.researchprotocols.org/2025/1/e71038", url="http://www.ncbi.nlm.nih.gov/pubmed/40434817" } @Article{info:doi/10.2196/65489, author="Zlatar, Z. Zvinka and Greenwood-Hickman, Anne Mikael and Lujan, Martinez Lazaro N. and Cooper, Julie and Florez-Acevedo, Stefani and Marquez, X. David and Aceves, Gutierrez Rosa and Vargas, Paula Andrea and Rosenberg, E. Dori", title="Feasibility and Cultural Adaptation of a Community-Engaged Physical Activity Intervention for Hispanic Older Adults: Pilot Study", journal="JMIR Form Res", year="2025", month="May", day="27", volume="9", pages="e65489", keywords="lifestyle", keywords="dementia risk reduction", keywords="brain health", keywords="sedentary", keywords="exercise", abstract="Background: The adult Hispanic population of the United States faces an increased risk of dementia compared to non-Hispanic White adults. Physical activity (PA) can help reduce dementia risk, but culturally adapted interventions for Hispanic populations are lacking. Culturally adapted interventions are needed to increase uptake and adherence to brain health promotion strategies in the Hispanic community. Objective: The De Pie y a Movernos intervention aims to reduce barriers to participation in clinical research by culturally adapting a remotely based PA intervention for middle-aged and older Hispanic adults and establish its feasibility and acceptability through a pre-post pilot study. Findings from the cultural adaptation process will inform a stage II PA randomized controlled trial. Methods: The adaptation process followed Barrera and Castro's 2006 cultural adaptation framework and included a literature review, translation of intervention materials, review by a Hispanic-comprised community advisory board and bilingual staff, and a pre-post pilot study (N=10) with subsequent focus groups to refine the intervention. The pilot intervention included the use of Fitbit activity trackers and 2 individualized goal-setting calls with a health coach over a period of 3 weeks. Feasibility and acceptability were assessed using both quantitative methods and qualitative focus groups. Primary quantitative outcomes included enrollment, recruitment, and completion rates, as well as acceptability (predetermined satisfaction survey scores ?3). Focus groups were thematically coded to identify themes for participants' opinions about several aspects of the intervention and explore key barriers and facilitators to PA engagement to improve the planned stage II trial. Results: Ten Hispanic adults (age: mean 62.7, SD 5.3 years; education: mean 11.8, SD 3.8 years; n=9, 90\% female; n=9, 90\% Spanish-speaking) participated in the pre-post pilot, with a 100\% completion rate, 50\% enrollment rate, and a recruitment rate of 5 participants per month. Acceptability was high (mean score 4.6, SD 0.3; range 1?5). Qualitative analyses indicated that participants had high satisfaction with the intervention. They expressed a preference for adding group-based activities and increased interaction with study staff. Key barriers to PA included lack of awareness about the benefits of PA, low self-efficacy, time constraints, health conditions, and weather, while facilitators included awareness of PA's cognitive benefits, social support from family or friends, accountability, enjoyable activities, self-efficacy, and Fitbit use. Insights from participants and community advisory board recommendations led to modifications for the larger trial, such as incorporating group-based elements for those who want them and adding an option for teleconference coaching calls. Conclusions: The cultural adaptation process was essential in refining the intervention to align with the preferences of older Hispanic adults, which resulted in a feasible and acceptable intervention. Findings will inform a planned stage II randomized controlled trial aimed at promoting PA and reducing dementia risk in older Hispanic adults. ", doi="10.2196/65489", url="https://formative.jmir.org/2025/1/e65489" } @Article{info:doi/10.2196/65345, author="Muellmann, Saskia and Wiersing, Rebekka and Zeeb, Hajo and Brand, Tilman", title="Digital Health Literacy in Adults With Low Reading and Writing Skills Living in Germany: Mixed Methods Study", journal="JMIR Hum Factors", year="2025", month="May", day="22", volume="12", pages="e65345", keywords="digital health literacy", keywords="digital health technologies", keywords="digital health", keywords="digital divide", keywords="mobile phone", keywords="adults", keywords="mixed methods study", abstract="Background: Digital health literacy is a key factor in enabling users to navigate in an increasingly digitalized health care system. Low levels of digital health literacy are associated with higher age, low education, and income, as well as low functional health literacy. Around 6.2 million adults living in Germany have low reading and writing skills. Due to their low literacy, this group is often underrepresented in research studies and therefore little is known about their digital health literacy and use of digital health tools. Objective: The objectives of this study were to assess digital health literacy in adults with low reading and writing skills and to explore which digital health tools they use in daily life. Methods: An interviewer-administered survey and focus groups were conducted with adult residents of Bremen, Germany, who were aged 18?64 years and had low reading and writing skills. In addition, a stakeholder workshop was held to derive recommendations on how digital health literacy could be improved. The survey questionnaire included 21 items addressing the use of digital health technologies and digital health literacy (eHealth Literacy Scale). Focus group participants completed several tasks on web-based health information and then discussed their experiences. Survey data were analyzed using descriptive statistics and linear regression. Qualitative content analysis was applied to analyze the focus group data and the written documentation of the stakeholder workshop. Results: Survey participants (n=96) were on average 43 (SD 10.7) years old, 72\% (69/96) were female, and 92\% (88/96) were not born in Germany. Participants reported mainly using information-related digital health technologies such as health apps (40/96, 42\%), health websites (30/96, 31\%), or activity trackers (27/96, 28\%). The mean digital health literacy score was 22 (SD 8) points, with 35\% (34/96) of participants classified as having a low digital health literacy (score between 8-19/40 points). Digital health technology use was associated with higher digital health literacy. For participants in the 5 focus groups (total n=39; mean age 43, SD 12.6 years; n=34, 87\% female), limited technical skills and language problems were the most important challenges. Furthermore, focus group participants reported that they favor videos when searching for web-based health information and prefer to seek support from family members or local organizations for health issues. Stakeholders (n=15) recommended that health websites should be available in multiple languages, contain simple and easy-to-read language, and use images, symbols, and videos. Conclusions: While adults with low reading and writing skills use digital health technologies, many find it challenging to search for health information on the internet due to lacking technical skills and language problems. To ensure that adults with low reading and writing skills are not further left behind, future research should focus on developing tailored interventions to promote digital health literacy. ", doi="10.2196/65345", url="https://humanfactors.jmir.org/2025/1/e65345" } @Article{info:doi/10.2196/64499, author="Bratches, WR Reed and Puga, Frank and Barr, J. Paul and Leggett, N. Amanda and Masel, Meredith and Odom, Nicholas James and Jablonski, Rita", title="Size and Composition of Caregiver Networks Who Manage Medications for Persons Living With Dementia: Cross-Sectional Analysis of the 2011-2022 National Health and Aging Trends Study", journal="Interact J Med Res", year="2025", month="May", day="22", volume="14", pages="e64499", keywords="caregiver", keywords="dementia", keywords="disparities", keywords="cross-sectional analysis", keywords="racial", keywords="ethnic", keywords="family caregivers", keywords="logistic regression", keywords="secondary analysis", keywords="manage", keywords="management", keywords="medication", keywords="network", abstract="Background: Family caregivers commonly help manage medications taken by persons living with dementia. Recent work has highlighted the importance of caregiver networks, which are multiple caregivers managing care for a single person, on managing care for persons living with dementia, especially medication management. However, less is known about the composition of caregiver networks. Objective: The objective of this analysis was to describe the composition of caregiver networks that manage medications, the factors associated with helping with medications within caregiver networks, and whether racial or ethnic differences exist in caregiver network composition. Methods: This cross-sectional secondary analysis used data from the National Health and Aging Trends Study (NHATS) ``other person'' files from 2011 to 2022. Descriptive statistics were calculated for caregivers who were identified as helping manage medications for a person with dementia. Mixed-effect logistic regression was used to determine factors associated with helping with medications among caregiver networks, with odds ratios converted to predicted probabilities using marginal standardization. A P value of .05 or less was considered statistically significant. Secondary analysis was stratified by race and ethnicity due to identified cultural differences in living situation and overall caregiver network composition. Results: A total of 15,809 caregivers were analyzed. Of those, 3048 (19.2\%) managed medications for persons living with dementia. Caregiver networks that manage medications tend to include a spouse or partner and child, at least one of whom has a college degree. Every person with dementia reported at least 1 person who managed their medications. White persons with dementia had an average of 2.4 (range 1?9) people who managed medications, while Black or African American persons with dementia had an average of 2.8 (range 1?9) and Hispanic or Latino persons with dementia had an average of 2.9 (range 1?8) people who managed medications. Spouses were most likely to manage medications across all racial and ethnic groups. In regression modeling, female gender (predicted probability [PP] 15\%, 95\% CI 13\%-17\%; P<.001), Black or African American race (PP 7\%, 95\% CI 4\%-10\%; P<.001), and Hispanic ethnicity (PP 4\%, 95\% CI 1\%-9\%; P=.04) were associated with an increased probability of helping with medications. Conclusions: The size and composition of caregiver networks that manage medications for persons living with dementia differ by race and ethnicity but typically includes at least 2 people, one of whom has a college degree. Helping with medications was more likely among non-White family caregivers, while White patients with dementia were more likely to use paid help to manage medications. ", doi="10.2196/64499", url="https://www.i-jmr.org/2025/1/e64499" } @Article{info:doi/10.2196/59757, author="Reinders, Patrick and Augustin, Matthias and Otten, Marina", title="Understanding Dermatologists' Acceptance of Digital Health Interventions: Cross-Sectional Survey and Cluster Analysis", journal="JMIR Hum Factors", year="2025", month="May", day="21", volume="12", pages="e59757", keywords="dermatology", keywords="cross-sectional survey", keywords="cluster analysis", keywords="acceptability", keywords="eHealth", keywords="Germany", keywords="attitude", keywords="dermatologist", keywords="digital health intervention", keywords="teledermatology", abstract="Background: Digital health interventions (DHIs) have the potential to enhance dermatological care by improving quality, patient empowerment, and efficiency. However, adoption remains limited, particularly in Germany. Objective: This study explores German dermatologists' attitudes toward DHIs, clustering them by acceptance levels and analyzing differences in sociodemographics and current and future DHI use. Methods: We conducted a cross-sectional survey, randomly inviting 1000 dermatologists in Germany to participate. The questionnaire consisted of Likert scale items rating the acceptability of DHIs from 1 to 5. Items on the current and future use of DHIs were also included. Exploratory factor analysis was used to identify factors and reduce data as input for a 2-step clustering algorithm. Results: The survey with 170 dermatologists (mean age 50.8, SD 10.3 y; 74/167, 55.7\% female) identified four factors through the exploratory factor analysis: (1) ``Positive Expectancies and Acceptability of DHIs,'' (2) ``Dermatologists' Digital Competencies,'' (3) ``Negative Expectancies and Barriers,'' and (4) ``Dermatologists' Perspectives on Patients' Acceptability and Competencies.'' The analysis identified three distinct clusters: (1) Indecisives (n=69)---moderate intentions to use DHIs and moderate negative expectations toward them; (2) Adopters (n=60)---high intentions to use DHIs and high digital competencies; and (3) Rejectors (n=26)---low intentions to use DHIs and low digital competencies. Adopters were significantly younger, more often based in urban centers, and exhibited the highest adoption rates of DHIs compared to the other clusters. Across all clusters, inadequate reimbursement and perceived structural barriers were cited as significant challenges to DHI adoption. Still, only one-third of the Adopters used DHIs including teledermatology or artificial intelligence. Conclusions: Dermatologists in Germany exhibited varied levels of acceptance and readiness for DHIs, with demographic and structural factors influencing adoption. Addressing barriers such as reimbursement and investing in digital literacy could promote wider use, potentially reducing health inequalities by improving access to digital health care. ", doi="10.2196/59757", url="https://humanfactors.jmir.org/2025/1/e59757" } @Article{info:doi/10.2196/68009, author="Xiao, Yuyin and Emmers, Dorien and Li, Shanshan and Zhang, Hanwen and Rule, Andrew and Rozelle, Scott", title="Screen Exposure and Early Childhood Development in Resource-Limited Regions: Findings From a Population-Based Survey Study", journal="J Med Internet Res", year="2025", month="May", day="15", volume="27", pages="e68009", keywords="screen time", keywords="digital media viewing", keywords="screen use", keywords="infancy", keywords="rural area", keywords="low- and middle-income countries", abstract="Background: The content of children's screen exposure and interactive coviewing with caregivers are important determinants of early childhood development (ECD) that have been overlooked in past research in resource-limited rural regions. Given the prevalence of digital devices and diverse digital content today, determining screen use practices that minimize the negative impacts on children's development is crucial for promoting healthy screen use among children. Objective: This study aims to examine screen exposure among children aged <3 years in rural China and investigate its relationship with ECD outcomes, focusing on duration, content, coviewing, and interaction. Methods: The sample includes all children aged between 6 and 26 months and their primary caregivers residing in the study area. A survey of screen exposure and household characteristics was conducted for 1052 eligible households. Caregivers reported the duration of screen exposure, defined as the average daily screen time over the past month; the content of exposure, defined by the time spent on educational and child-friendly content; and the caregiver's presence and interaction with the child during exposure. ECD outcomes were evaluated using the third edition of the Bayley Scales of Infant and Toddler Development assessment scale and the Brief Infant Toddler Social Emotional Assessment. Ordinary least squares regression, logistic regression, and chi-square tests were conducted. Results: In total, 28.23\% (297/1052) of the children in our sample were first exposed to screens before the age of 12 months. Children exposed to screens had an average daily screen time of 27.57 (SD 38.90) minutes. Children who were exposed to screens before the age of 12 months and those who had longer screen time between the ages of 12 and 18 months were more likely to be at risk of motor developmental delays. Children exposed to educational content for >15 minutes on a daily basis had fewer social-emotional or behavioral problems than those with no screen exposure and a lower risk of delay in motor skills development than those exposed to educational content for <15 minutes on a daily basis. Caregiver interaction during screen exposure was associated with a lower risk of cognitive and language delays and better socioemotional skills. Conclusions: The type of content viewed and how caregivers engaged in children's screen time were strongly associated with ECD outcomes. Guiding parents to select educational content for their children and engaging in interactive coviewing may better protect children from the negative effects of screen exposure. The findings complement conclusions regarding the impact of screen exposure on ECD in resource-limited rural areas. ", doi="10.2196/68009", url="https://www.jmir.org/2025/1/e68009" } @Article{info:doi/10.2196/67242, author="Balki, Eric and Hayes, Niall and Holland, Carol", title="Factors Influencing Older Adults' Perception of the Age-Friendliness of Their Environment and the Impact of Loneliness, Technology Use, and Mobility: Quantitative Analysis", journal="JMIR Aging", year="2025", month="May", day="6", volume="8", pages="e67242", keywords="COVID-19", keywords="age-friendliness of environments", keywords="physical isolation", keywords="digital communication technologies", keywords="loneliness", keywords="cross-sectional", keywords="WHO", keywords="World Health Organization", keywords="older adults", keywords="reduced mobility", keywords="age friendliness of environments", keywords="adult well-being", keywords="social connections", keywords="aging in place", keywords="life-space mobility", keywords="LSE", keywords="functional mobility", keywords="UCLA loneliness scale", keywords="age-friendly environment assessment tool", keywords="AFEAT", abstract="Background: The World Health Organization's (WHO) publication on age-friendly environments (AFEs) imagines future cities to become more age-friendly to harness the latent potential of older adults, especially those who have restricted mobility. AFE has important implications for older adults in maintaining social connections, independence, and successful aging-in-place. However, technology is notably absent in the 8 intersecting domains of AFEs that the WHO imagines improve older adult well-being, and we investigated whether technology should form a ninth domain. While mobility was severely restricted, the COVID-19 pandemic provided an opportunity to test how older adults' perceptions of their AFE changed and what role technology was playing. Objective: This study examined how life-space mobility (LSM), a concept for assessing patterns of functional mobility over time, and loneliness impacted perceived AFEs and the moderating effect of technology. It also explores whether technology should play a greater role as the ninth domain of the WHO's imagination of the AFE of the future. Methods: In this cross-sectional quantitative observation study, data from 92 older adults aged 65-89 years were collected in England from March 2020 to June 2021 during the COVID-19 pandemic. The Life-space Questionnaire, Technology Experience Questionnaire, UCLA (University of California, Los Angeles) Loneliness Scale, and age-friendly environment assessment tool were used. Correlation and moderation analyses were used to investigate relationships between variables. Results: Most participants (86/92, 93\%) had not left their immediate town in the previous 4 weeks before the interview. Restricted LSM was positively correlated to the age-friendly environment assessment tool, that is, rising physical isolation was linked to a better perception of AFEs; however, we discovered this result was due to the moderating impact of increased use of technology, and that restricted LSM actually had a negative effect on AFEs. Loneliness was correlated negatively with the perception of AFEs, but technology use was found to moderate the impact of loneliness. Conclusions: Pandemic-related LSM restrictions impacted perceived AFEs and loneliness negatively, but technology played a moderating role. The findings demonstrate that technology could be considered as a ninth domain in the WHO's assessment of AFEs for older adults and that there is a need for its explicit acknowledgment. ", doi="10.2196/67242", url="https://aging.jmir.org/2025/1/e67242" } @Article{info:doi/10.2196/64228, author="Shepperd, A. James and McBride, M. Colleen and An, Weihua and Zhao, Jingsong and Pentz, D. Rebecca and Escoffery, Cam and Ward, Kevin and Guan, Yue", title="Trust and Privacy Concerns Among Cancer Survivors Who Did Not Visit a Research Website Offering Free Genetic Counseling Services for Families: Survey Study", journal="J Med Internet Res", year="2025", month="May", day="6", volume="27", pages="e64228", keywords="internet trust", keywords="internet privacy", keywords="hereditary cancers", keywords="patients and relatives outreach", keywords="social marketing", abstract="Background: Digital health tools, such as websites, now proliferate to assist individuals in managing their health. With user input, we developed the Your Family Connects (YFC) website to promote access to genetic services for survivors of ovarian cancer and their relatives. Although we estimated that half or more would access the website, only 18\% of invited survivors did so. We assessed the extent to which perceived relevance of the information provided, trust, and privacy concerns influenced decisions not to access the website. Objective: We designed a theory-based cross-sectional survey to explore the following questions: (1) To what extent did nonresponders endorse privacy concerns? (2) Were privacy concerns associated with recall of receiving the website invitation, time since diagnosis, age, and race? (3) Could we identify profiles of nonresponders that would guide the development of future interventions to encourage engagement in health websites for families affected by inherited cancers? Methods: A sample of survivors who were eligible to access the website yet did not respond to the study invitation was identified by linking study IDs to the Georgia Cancer Registry information. The survey was brief and contained 27 items, including recall of the invitation, interest in ovarian cancer information, benefits of using health websites, trust in health websites, and trust in university-based health research. We conducted factor analyses, regression analyses, ANOVA, correlation analyses, and logistic regression to address research questions. Results: Of the 650 nonresponders to whom we sent the short survey, 368 (56.3\%) responded and provided sufficient data for analysis. The mean response of 2.57 on the trust scale was significantly below the scale midpoint of 3 (t360=11.78, P<.001), suggesting that survivors who did not log on were on average distrustful of health websites. Belonging to a racial or ethnic minority group was associated with being more trusting and less skeptical about health websites. Just 196 (30.1\%) nonresponders recalled the invitation to visit the website. Logistic regression analysis indicated that age was the only significant predictor of recall. Testing a model with age, racial or ethnic minority status, and the 6 privacy concerns correctly classified 58.8\% of nonresponders, a rate of successful classification that was not appreciably better than a logistic regression analysis that included only age as a predictor. Conclusions: The nonresponders in the present study---particularly the White nonresponders---were skeptical of website platforms regardless of whether they recalled receiving a website invitation or not. Social marketing approaches geared toward building trust in web platforms by building a relationship with an information consumer and in collaboration with trusted organizations warrant further investigation. Trial Registration: ClinicalTrials.gov NCT04927013; https://clinicaltrials.gov/study/NCT04927013 ", doi="10.2196/64228", url="https://www.jmir.org/2025/1/e64228" } @Article{info:doi/10.2196/70822, author="Li, Jiaying and Wu, Xiaobing and Wu, Yibo and Fong, Tak Daniel Yee and Song, Yang and Xu, Siyi and Kim, Changhwan and Lin, Xiaohong and Pandian, Vinciya", title="Physical, Mental, and Health Empowerment Disparities Across Chronic Obstructive Pulmonary Disease, Asthma, and Combined Groups and the Moderating Role of eHealth Literacy: Cross-Sectional Study", journal="J Med Internet Res", year="2025", month="May", day="5", volume="27", pages="e70822", keywords="chronic respiratory diseases", keywords="chronic obstructive pulmonary disease", keywords="asthma", keywords="health outcome", keywords="eHealth literacy", abstract="Background: Nonpharmacological management plays a key role in enhancing the quality of life for individuals with chronic obstructive pulmonary disease (COPD), asthma, or both. However, disparities in their physical, mental, and health empowerment outcomes have not been fully explored, particularly in relation to the moderating effect of eHealth literacy. Objective: This study aims to assess these disparities and examine how eHealth literacy moderates them to guide the development of tailored nonpharmacological strategies. Methods: We analyzed data from 2 waves of the nationally representative ``Psychology and Behavior Investigation of Chinese Residents'' surveys to identify participants who self-reported asthma, COPD, or both. We assessed 5 physical outcomes (quality of life, physical activity, sleep quality, appetite, nicotine dependence), 4 mental outcomes (anxiety, depression, perceived stress, resilience), and 3 health empowerment measures (social support, self?efficacy, eHealth literacy). Multiple regression with Holm-Bonferroni corrections revealed health disparities and the moderation effect of eHealth literacy. Results: This unfunded study enrolled 1044 participants between June 2022 and August 2023, with data analysis completed within 7 months following data collection. The sample included 254 (24.3\%) participants with asthma, 696 (66.7\%) participants with COPD, and 95 (9.1\%) participants with both conditions. The mean age of the participants was 48.61 (SD 19.70) years, and 536 (51.3\%) participants were male. Linear regression showed that individuals with both COPD and asthma had lower health-related quality of life and higher anxiety and depression compared with those with either condition alone (b ranges from --0.15 to 3.35). This group also showed higher nicotine dependence than asthma-only (b=0.88) and lower resilience than COPD-only groups (b=--0.76) (all adjusted P<.05). eHealth literacy significantly moderated the effect of the disease group on all outcomes except physical activity (all adjusted P for interaction <.05). Nine disease pairs showed disparities in both eHealth literacy groups, 4 only in high literacy, and 8 only in low literacy (all P<.05). Conclusions: Individuals with both COPD and asthma had poorer quality of life, greater anxiety and depression, higher nicotine dependence, and lower resilience, underscoring the need for integrated psychosocial and behavioral interventions. Although higher eHealth literacy was associated with improved quality of life, sleep quality, and resilience, it also widened disparities in anxiety and depression. Therefore, while enhancing eHealth literacy may help reduce overall health inequities among patients with chronic respiratory diseases, its potential adverse effects on mental well-being warrant careful attention. Moreover, lower eHealth literacy was linked to more pronounced disparities, indicating that outreach efforts and digital resources should be specifically designed to reach and empower vulnerable populations. Overall, our findings advocate for condition-specific, eHealth-enhanced care pathways that not only foster digital literacy but also integrate comprehensive mental health services, thereby mitigating health disparities among individuals with chronic respiratory diseases. ", doi="10.2196/70822", url="https://www.jmir.org/2025/1/e70822" } @Article{info:doi/10.2196/69170, author="Stauch, Lisa and Renninger, Denise and Rangnow, Pia and Hartmann, Anja and Fischer, Lisa and Dadaczynski, Kevin and Okan, Orkan", title="Digital Health Literacy of Children and Adolescents and Its Association With Sociodemographic Factors: Representative Study Findings From Germany", journal="J Med Internet Res", year="2025", month="May", day="5", volume="27", pages="e69170", keywords="digital health literacy", keywords="sociodemographic", keywords="health promotion", keywords="child and adolescent health", keywords="cross-sectional", abstract="Background: Children and adolescents extensively use the internet in their daily lives, often seeking information related to health and well-being. In modern society, the volume of health information available in digital environments is constantly increasing. This includes both reliable and misleading content, making it challenging to assess trustworthiness. Digital health literacy is essential for navigating the digital information ecosystem, protecting oneself from misinformation, and making informed health decisions. Objective: This representative study aims to examine the digital health literacy of children and adolescents in Germany and its association with sociodemographic factors. Methods: A cross-sectional study design with face-to-face interviews was utilized to collect data from 1448 children and adolescents aged 9-18 years in Germany between October and November 2022. Digital health literacy was assessed using an adapted and translated version of the Digital Health Literacy Instrument (DHLI), which comprises 7 subscales: operational skills, navigation skills, information searching, self-generated content, evaluating reliability, protecting privacy, and determining relevance. Bivariate and binary logistic regression analyses were conducted to examine associations between digital health literacy subscales and sociodemographic characteristics (sex, age, migration background, school type, and perceived family affluence). Results: The study found that 419 out of 1362 (30.76\%) children and adolescents had a problematic level of digital health literacy, while 63 out of 1362 (4.63\%) had an inadequate level. Overall, the least difficulties were observed in operational skills and determining relevance, whereas the greatest challenges were related to protecting privacy and navigation skills. Age was significantly associated with 6 of the 7 subscales (excluding protecting privacy), with younger children (9-11 years) facing a higher risk of limited skills (operational skills: odds ratio [OR] 5.42, P=.002; navigation skills: OR 4.76, P<.001; information searching: OR 4.68, P<.001; adding self-generated content: OR 7.03, P<.001; evaluating reliability: OR 3.82, P<.001; and determining relevance: OR 4.76.42, P<.001). Migration background was associated with fewer limited digital health literacy skills, while low perceived family affluence was associated with more limited skills. In the subscales of information searching, self-generated content, and evaluating information reliability, a lower risk of limited skills was observed among those with a 2-sided migration background (information searching: OR 0.62, P=.02; adding self-generated content: OR 0.30, P=.003; and evaluating reliability: OR 0.66, P=.03). By contrast, a higher risk was found among those with low perceived family affluence, including in the subscale of determining relevance (information searching: OR 2.18, P<.001; adding self-generated content: OR 1.77, P=.01; evaluating reliability: OR 1.67, P<.001; and determining relevance: OR 1.58, P<.001). Although school type was not associated with any dimension, sex was linked to operational skills, with females having an increased risk of limited skills (OR 1.58, P=.03). Conclusions: The results highlight a strong need for interventions to improve digital health literacy among children and adolescents, particularly in protecting privacy, navigation skills, and evaluating the reliability of health information. Effective interventions should be tailored to address the varying needs associated with age, migration background, and family affluence. ", doi="10.2196/69170", url="https://www.jmir.org/2025/1/e69170" } @Article{info:doi/10.2196/67383, author="Sumner, Jennifer and Wang, Yuchen and Tan, Ying Si and Chew, Hoon Emily Hwee and Wenjun Yip, Alexander", title="Perspectives and Experiences With Large Language Models in Health Care: Survey Study", journal="J Med Internet Res", year="2025", month="May", day="1", volume="27", pages="e67383", keywords="digital health", keywords="artificial intelligence", keywords="survey research", keywords="large language model", keywords="healthcare", keywords="survey", keywords="workforce", keywords="healthcare worker", keywords="professional", abstract="Background: Large language models (LLMs) are transforming how data is used, including within the health care sector. However, frameworks including the Unified Theory of Acceptance and Use of Technology highlight the importance of understanding the factors that influence technology use for successful implementation. Objective: This study aimed to (1) investigate users' uptake, perceptions, and experiences regarding LLMs in health care and (2) contextualize survey responses by demographics and professional profiles. Methods: An electronic survey was administered to elicit stakeholder perspectives of LLMs (health care providers and support functions), their experiences with LLMs, and their potential impact on functional roles. Survey domains included: demographics (6 questions), user experiences of LLMs (8 questions), motivations for using LLMs (6 questions), and perceived impact on functional roles (4 questions). The survey was launched electronically, targeting health care providers or support staff, health care students, and academics in health-related fields. Respondents were adults (>18 years) aware of LLMs. Results: Responses were received from 1083 individuals, of which 845 were analyzable. Of the 845 respondents, 221 had yet to use an LLM. Nonusers were more likely to be health care workers (P<.001), older (P<.001), and female (P<.01). Users primarily adopted LLMs for speed, convenience, and productivity. While 75\% (470/624) agreed that the user experience was positive, 46\% (294/624) found the generated content unhelpful. Regression analysis showed that the experience with LLMs is more likely to be positive if the user is male (odds ratio [OR] 1.62, CI 1.06-2.48), and increasing age was associated with a reduced likelihood of reporting LLM output as useful (OR 0.98, CI 0.96-0.99). Nonusers compared to LLM users were less likely to report LLMs meeting unmet needs (45\%, 99/221 vs 65\%, 407/624; OR 0.48, CI 0.35-0.65), and males were more likely to report that LLMs do address unmet needs (OR 1.64, CI 1.18-2.28). Furthermore, nonusers compared to LLM users were less likely to agree that LLMs will improve functional roles (63\%, 140/221 vs 75\%, 469/624; OR 0.60, CI 0.43-0.85). Free-text opinions highlighted concerns regarding autonomy, outperformance, and reduced demand for care. Respondents also predicted changes to human interactions, including fewer but higher quality interactions and a change in consumer needs as LLMs become more common, which would require provider adaptation. Conclusions: Despite the reported benefits of LLMs, nonusers---primarily health care workers, older individuals, and females---appeared more hesitant to adopt these tools. These findings underscore the need for targeted education and support to address adoption barriers and ensure the successful integration of LLMs in health care. Anticipated role changes, evolving human interactions, and the risk of the digital divide further emphasize the need for careful implementation and ongoing evaluation of LLMs in health care to ensure equity and sustainability. ", doi="10.2196/67383", url="https://www.jmir.org/2025/1/e67383", url="http://www.ncbi.nlm.nih.gov/pubmed/40310666" } @Article{info:doi/10.2196/67370, author="Mancuso, Noah and Michaels, Jenna and Browne, N. Erica and Maragh-Bass, C. Allysha and Stocks, B. Jacob and Soberano, R. Zachary and Bond, Lily C. and Yigit, Ibrahim and Comello, G. Maria Leonora and Larsen, Adams Margo and Muessig, E. Kathryn and Pettifor, Audrey and Hightow-Weidman, B. Lisa and Budhwani, Henna and Stoner, D. Marie C.", title="Greater Improvements in Vaccination Outcomes Among Black Young Adults With Vaccine-Resistant Attitudes in the United States South Following a Digital Health Intervention: Latent Profile Analysis of a Randomized Control Trial", journal="JMIR Public Health Surveill", year="2025", month="Apr", day="16", volume="11", pages="e67370", keywords="COVID-19", keywords="mHealth", keywords="African American and Black", keywords="young adults", keywords="vaccination", keywords="mobile health", abstract="Background: Negative attitudes toward vaccines and suboptimal vaccination rates among African American and Black (Black) Americans have been well documented, due to a history of medical racism and human rights violations in the United States. However, digital health interventions (DHI) have been shown to address racial disparities in several health outcomes, such as cardiovascular disease, HIV, and maternal health. The Tough Talks COVID (TT-C) study was a randomized controlled trial of a DHI designed to empower Black young adults in the United States South to make informed, autonomous decisions about COVID-19 vaccine uptake by addressing structural barriers and misinformation about vaccines. Objective: Our objective was to identify subgroups of Black young adults with various vaccine attitudes at baseline and determine the subgroups for which the TT-C DHI was most impactful. Methods: Black young adults aged 18?29 years in Alabama, Georgia, and North Carolina who were unvaccinated or insufficiently vaccinated against COVID-19 completed three online surveys over three months (N=360). Latent profile analysis was used to identify subgroups based on general vaccine attitudes at baseline, including hesitancy, confidence, knowledge, conspiracy beliefs, and mistrust. Logistic regression was used to examine the associations between latent profiles and vaccine uptake, and linear regression was used to examine changes in vaccine attitudes at three months post-randomization. Modification of the TT-C DHI's effects was assessed by latent profiles. Results: Three latent profiles emerged: vaccine-receptive (n=124), vaccine-neutral (n=155), and vaccine-resistant (n=81). Political affiliation, income, social support, and recent flu vaccination differed significantly between the three subgroups (P<.05). Vaccine uptake was not significantly different by subgroup, and the TTC-DHI did not have differing effects on uptake across subgroups. However, the DHI had the strongest effect---with statistically significant measures of association (P<.05) and interaction P values (P<.10)---among the baseline vaccine-resistant and vaccine-neutral subgroups compared to the vaccine-receptive subgroups at three months in improving vaccine hesitancy, confidence, and conspiracy beliefs at three months: vaccine-resistant difference: ?0.40 (?0.76 to ?0.37), 0.39 (0.02 to 0.75), and ?0.47 (?0.86 to ?0.09); vaccine neutral difference: ?0.36 (?0.52 to ?0.19), 0.35 (0.18 to 0.51), and ?0.24 (?0.44 to ?0.03). The DHI had no effects on these outcomes among the vaccine-receptive subgroup. Conclusions: Our findings revealed subgroups of Black young adults in the United States South with different vaccination attitudes, for which the TT-C intervention had differing effects. Black young adults who are vaccine-resistant or vaccine-neutral may experience larger gains from a digital vaccine intervention. Future work aimed at improving vaccination outcomes could target these populations to maximize resource efficiency and drive the greatest improvements in vaccine outcomes. Trial Registration: ClinicalTrials.gov NCT05490329; https://clinicaltrials.gov/study/NCT05490329 ", doi="10.2196/67370", url="https://publichealth.jmir.org/2025/1/e67370" } @Article{info:doi/10.2196/64208, author="Liao, Wan-Chuen and Angus, Fiona and Conley, Jane and Chen, Li-Chia", title="The Efficacy of Digital Interventions on Adherence to Oral Systemic Anticancer Therapy Among Patients With Cancer: Systematic Review and Meta-Analysis", journal="JMIR Cancer", year="2025", month="Apr", day="16", volume="11", pages="e64208", keywords="efficacy", keywords="digital interventions", keywords="oral systemic anticancer therapy", keywords="medication adherence", keywords="cancer", keywords="oral", keywords="patients with cancer", keywords="therapy", keywords="systematic review", keywords="meta-analysis", keywords="care plans", keywords="medication", keywords="treatments", keywords="mobile app", keywords="mobile applications", keywords="mHealth", keywords="multimedia platforms", keywords="digital technology", keywords="self-reported", keywords="mobile phone", abstract="Background: Digital interventions have been increasingly applied in multidisciplinary care plans to improve medication adherence to oral systemic anticancer therapy (SACT), the crucial lifesaving treatments for many cancers. However, there is still a lack of consensus on the efficacy of those digital interventions. Objectives: This systematic review and meta-analysis aimed to investigate the efficacy of digital interventions in improving adherence to oral SACTs in patients with cancer. Methods: This systematic review and meta-analysis followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement guidelines. The protocol has been registered at PROSPERO (no. CRD42024550203). Fully published, randomized controlled trials (RCTs) in English on adults with cancer assessing digital interventions for improving adherence to oral SACTs were retrieved from MEDLINE, Embase, APA PsycINFO, and CINAHL Plus up to May 31, 2024. Adherence measures compared between digital intervention users and nonusers were extracted. The proportions of poor adherence were synthesized using a random-effects model. The pooled results were reported as the odds ratio and 95\% CI. The heterogeneity was assessed with the I2 test (\%). The mean difference and 95\% CI were calculated from the mean adherence score and SD. A risk of bias assessment was conducted using version 2 of the Cochrane Risk of Bias Assessment Tool (RoB 2) for RCTs, which ensured that a quality assessment of all included studies was conducted as recommended by the Cochrane Collaboration. Results: This study included 13 RCTs on digital interventions for improving adherence to oral SACTs in patients with cancer. The 13 RCTs, published between 2016 and 2024, were conducted in the United States, South Korea, France, Egypt, Finland, Australia, Colombia, Singapore, and Turkey. The technologies used were mobile apps (n=4), reminder systems (n=4), telephone follow-ups (n=3), and interactive multimedia platforms (n=2). Adherence was measured by surveys (n=8), relative dose intensity (n=2), pill count (n=1), self-reported missed doses (n=1), a smart pill bottle (n=1), and urine aromatase inhibitor metabolite assays (n=1). Concerns regarding risk of bias primarily involved randomization, missing outcome data, and outcome measurement, including nonblinded randomization, subjective patient-reported data, and difficulties in distinguishing between missed appointments and actual medication nonadherence. Pooled results from 11 trials showed that digital technology users had significantly lower risk of poor adherence (odds ratio 0.60, 95\% CI 0.47?0.77). Two studies reported positive mean differences in adherence scores comparing digital intervention users and nonusers. However, due to considerable heterogeneity (I{\texttwosuperior}=73.1\%), it is difficult to make a definitive conclusion from the pooled results about the effect of digital interventions upon adherence to oral anticancer therapy. Conclusions: Digital intervention users exhibited significantly lower risk of poor oral SACTs adherence than nonusers. Acknowledging individual variation and tailoring digital technologies to prioritize patient needs is essential. Trial Registration: PROSPERO CRD42024550203; https://www.crd.york.ac.uk/PROSPERO/view/CRD42024550203 ", doi="10.2196/64208", url="https://cancer.jmir.org/2025/1/e64208" } @Article{info:doi/10.2196/68093, author="Harry, Christiana and Goodday, Sarah and Chapman, Carol and Karlin, Emma and Damian, Joy April and Brooks, Alexa and Boch, Adrien and Lugo, Nelly and McMillan, Rebecca and Tempero, Jonell and Swanson, Ella and Peabody, Shannon and McKenzie, Diane and Friend, Stephen", title="Using Social Media to Engage and Enroll Underrepresented Populations: Longitudinal Digital Health Research", journal="JMIR Form Res", year="2025", month="Apr", day="15", volume="9", pages="e68093", keywords="digital health research", keywords="digital health technology", keywords="recruitment", keywords="research subject", keywords="participant", keywords="pregnancy", keywords="maternal health", keywords="underrepresented populations", keywords="health equity", keywords="diversity", keywords="marginalized", keywords="advertisement", keywords="social media", keywords="retention", keywords="attrition", keywords="dropout", abstract="Background: Emerging digital health research poses roadblocks to the inclusion of historically marginalized populations in research. Exclusion of underresourced communities in digital health research is a result of multiple factors (eg, limited technology access, decreased digital literacy, language barriers, and historical mistrust of research and research institutions). Alternative methods of access and engagement may aid in achieving long-term sustainability of diversified participation in digital health research, ensuring that developed technologies and research outcomes are effective and equitable. Objective: This study aims to (1) characterize socioeconomic and demographic differences in individuals who enrolled and engaged with different remote, digital, and traditional recruitment methods in a digital health pregnancy study and (2) determine whether social media outreach is an efficient way of recruiting and retaining specific underrepresented populations (URPs) in digital health research. Methods: The Better Understanding the Metamorphosis of Pregnancy (BUMP) study was used as a case example. This is a prospective, observational, cohort study using digital health technology to increase understanding of pregnancy among 524 women, aged 18-40 years, in the United States. The study used different recruitment strategies: patient portal for genetic testing results, paid/unpaid social media ads, and a community health organization providing care to pregnant women (Moses/Weitzman Health System). Results: Social media as a recruitment tool to engage URPs in a digital health study was overall effective, with a 23.6\% (140/594) enrollment rate of those completing study interest forms across 25 weeks. Community-based partnerships were less successful, however, resulting in 53.3\% (57/107) engagement with recruitment material and only 8.8\% (5/57) ultimately enrolling in the study. Paid social media ads provided access to and enrollment of a diverse potential participant pool of race- or ethnicity-based URPs in comparison to other digital recruitment channels. Of those that engaged with study materials, paid recruitment had the highest percentage of non-White (non-Hispanic) respondents (85/321, 26.5\%), in comparison to unpaid ads (Facebook and Reddit; 37/167, 22.2\%). Of the enrolled participants, paid ads also had the highest percentage of non-White (non-Hispanic) participants (14/70, 20\%), compared to unpaid ads (8/52, 15.4\%) and genetic testing service subscribers (72/384, 18.8\%). Recruitment completed via paid ads (Instagram) had the highest study retention rate (52/70, 74.3\%) across outreach methods, whereas recruitment via community-based partnerships had the lowest (2/5, 40\%). Retention of non-White (non-Hispanic) participants was low across recruitment methods: paid (8/52, 15.4\%), unpaid (3/35, 14.3\%), and genetic testing service subscribers (50/281, 17.8\%). Conclusions: Social media recruitment (paid/unpaid) provides access to URPs and facilitates sustained retention similar to other methods, but with varying strengths and weaknesses. URPs showed lower retention rates than their White counterparts across outreach methods. Community-based recruitment showed lower engagement, enrollment, and retention. These findings highlight social media's potential for URP engagement and enrollment, illuminate potential roadblocks of traditional methods, and underscore the need for tailored research to improve URP enrollment and retention. ", doi="10.2196/68093", url="https://formative.jmir.org/2025/1/e68093" } @Article{info:doi/10.2196/58916, author="Francis, M. Jackson and Neti, S. Sitapriya and Polavarapu, Dhatri and Atem, Folefac and Xie, Luyu and Kapera, Olivia and Mathew, S. Matthew and Marroquin, Elisa and McAdams, Carrie and Schellinger, Jeffrey and Ngenge, Sophia and Kukreja, Sachin and Schneider, E. Benjamin and Almandoz, P. Jaime and Messiah, E. Sarah", title="Association of Social Media Recruitment and Depression Among Racially and Ethnically Diverse Metabolic and Bariatric Surgery Candidates: Prospective Cohort Study", journal="JMIR Form Res", year="2025", month="Apr", day="10", volume="9", pages="e58916", keywords="social media", keywords="social media recruitment", keywords="depression", keywords="depressed", keywords="major depressive disorder", keywords="MDD", keywords="depressive disorder", keywords="depressive", keywords="race", keywords="racial", keywords="racial differences", keywords="ethnic", keywords="ethnic differences", keywords="ethnicity", keywords="metabolic surgery", keywords="bariatric surgery", keywords="obesity", keywords="obese", keywords="online health", keywords="ethics", keywords="mental health", keywords="eHealth", keywords="internet", keywords="digital health", keywords="digital mental health", keywords="online interventions", keywords="public engagement", keywords="public health", abstract="Background: Due to the widespread use of social media and the internet in today's connected world, obesity and depression rates are increasing concurrently on a global scale. This study investigated the complex dynamics involving social media recruitment for scientific research, race, ethnicity, and depression among metabolic and bariatric surgery (MBS) candidates. Objective: This study aimed to determine (1) the association between social media recruitment and depression among MBS candidates and (2) racial and ethnic differences in social media recruitment engagement. Methods: The analysis included data from 380 adult MBS candidates enrolled in a prospective cohort study from July 2019 to December 2022. Race and ethnicity, recruitment method (social media: yes or no), and depression status were evaluated using $\chi$2 tests and logistic regression models. Age, sex, and ethnicity were adjusted in multivariable logistic regression models. Results: The mean age of the candidates was 47.35 (SD 11.6) years, ranging from 18 to 78 years. Participants recruited through social media (n=41, 38.32\%) were more likely to report past or current episodes of depression compared to nonsocial media--recruited participants (n=74, 27.11\%; P=.03), with a 67\% increased likelihood of depression (odds ratio [OR] 1.67, 95\% CI 1.04?2.68, P=.03). Further analysis showed that participants with a history of depression who were below the mean sample age were 2.26 times more likely to be recruited via social media (adjusted OR [aOR] 2.26, 95\% CI 1.03?4.95; P=.04) compared to those above the mean age. Hispanic (n=26, 38.81\%) and non-Hispanic White (n=53, 35.10\%) participants were significantly more likely to be recruited via social media than non-Hispanic Black (n=27, 18.37\%) participants (P<.001). After adjusting for covariates, non-Hispanic Black participants were 60\% less likely than non-Hispanic White participants to be recruited via social media (aOR 0.40, 95\% CI 0.22?0.71; P=.002). Conclusions: We found that individuals recruited through social media channels, especially younger participants, were more likely to report past or current episodes of depression compared to those recruited through nonsocial media. The study also showed that non-Hispanic Black individuals are less likely to engage in social media recruitment for scientific research versus other racial and ethnic groups. Future mental health--related studies should consider strategies to mitigate potential biases introduced by recruitment methods to ensure the validity and generalizability of research findings. ", doi="10.2196/58916", url="https://formative.jmir.org/2025/1/e58916" } @Article{info:doi/10.2196/69952, author="Holmqvist, Sophia and Kaplan, Marina and Chaturvedi, Riya and Shou, Haochang and Giovannetti, Tania", title="Longitudinal and Combined Smartwatch and Ecological Momentary Assessment in Racially Diverse Older Adults: Feasibility, Adherence, and Acceptability Study", journal="JMIR Hum Factors", year="2025", month="Apr", day="8", volume="12", pages="e69952", keywords="cognitive impairment", keywords="smartwatch", keywords="longitudinal monitoring", keywords="ecological momentary assessment", keywords="aging", abstract="Background: Due to the rising prevalence of Alzheimer disease and related dementias, easily deployable tools to quantify risk are needed. Smartphones and smartwatches enable unobtrusive and continuous monitoring, but there is limited information regarding the feasibility, adherence, and acceptability of digital data collection among racially diverse older adults. Objective: This paper examined the feasibility, adherence, and acceptability of a 4-week combined smartwatch monitoring and ecological momentary assessment (EMA) study in a racially diverse sample of older adults. Methods: A total of 44 older adults (aged ?55 y) with either mild cognitive impairment or healthy cognition completed an informed consent comprehension quiz, baseline cognitive testing, training regarding digital data collection, and questionnaires. Participants were instructed to wear a Garmin Vivosmart 4 smartwatch for 23 h/d for 4 weeks, sync 2 smartphone apps (Garmin and Labfront) daily, and complete a daily EMA survey with automated prompts for surveys and charging. Training time, smartwatch adherence (eg, wear time), daily EMA survey response rate, and performance on the consent quiz were quantified. Associations between feasibility and adherence metrics and participant factors were evaluated. Self-reported usability of the apps and smartwatch was collected at study end. Results: Consent comprehension quiz scores were high (mean 97.33\%, SD 6.86\% correct), and training sessions lasted on average 17.93 (SD 6.89) minutes. During the 4-week study, participants wore the smartwatch for an average of 21 h/d (SD 1.53) and showed an average response rate of 94\% (SD 9.58\%) to daily EMA surveys. In unadjusted bivariate analyses, age, race, and cognition were associated with feasibility and adherence measures, but only age and race remained significant in multivariate models. After accounting for all participant factors, older age was a significant predictor of longer training time, and Black race was a significant predictor of lower daily wear time. On the usability survey, all participants (45/45, 100\%) indicated willingness to participate in future smartwatch studies, >80\% (37/45) had a positive experience, and >90\% (41/45) were satisfied with smartphone app syncing. Conclusions: Smartwatch monitoring, requiring daily wear, smartphone syncing, and daily EMA survey completion, is highly feasible in older adults because adherence to daily wear and EMA surveys was high, as was general satisfaction on usability surveys. Although older participants may require more training on smartwatch and smartphone procedures and automated prompting during the study period, longitudinal monitoring with the Garmin Vivosmart 4 smartwatch and Labfront app is acceptable and feasible for collecting nearly continuous data in Black and White older adults, including those with mild cognitive impairment and those without. ", doi="10.2196/69952", url="https://humanfactors.jmir.org/2025/1/e69952" } @Article{info:doi/10.2196/59807, author="Thorup, Brun Charlotte and Uitto, Mika and Butler-Henderson, Kerryn and Wamala-Andersson, Sarah and Hoffr{\'e}n-Mikkola, Merja and Schack Thoft, Diana and Korsbakke Emtek{\ae}r H{\ae}sum, Lisa and Irrazabal, Gabriela and Pruneda Gonz{\'a}lez, Laura and Valkama, Katja", title="Choosing the Best Digital Health Literacy Measure for Research: Mixed Methods Study", journal="J Med Internet Res", year="2025", month="Apr", day="8", volume="27", pages="e59807", keywords="digital health literacy", keywords="digital literacy", keywords="Horizon Europe", keywords="EU", keywords="health technology", keywords="life expectancy", keywords="health literacy", keywords="chronic disease", keywords="digitalization", keywords="digital health service", keywords="digital health intervention", keywords="technology", keywords="healthcare", abstract="Background: The global demographic shift towards longer life expectancy and complex health needs is increasing the number of people with chronic diseases, placing pressure on health and care systems. With the digitalization of healthcare, digital Health Literacy (dHL), or the use of digital skills in health, is gaining importance. It involves navigating digital health information, using digital tools effectively, and making informed health decisions. Measuring dHL can help identify gaps and develop strategies to improve dHL and health, ensuring citizens equal opportunity to participate in a digital healthcare system. The European project ``The Improving Digital Empowerment for Active and Healthy Living (IDEAHL)'' with the objective to empower European Union citizens to use digital instruments to take a more active role in managing their health and well-being creates the base for this overview Objective: This paper aims to conduct an overview of existing assessment tools for measuring dHL and recommend strategies for choosing relevant assessment tools. Methods: This study was carried out as a mixed method study initiated by a scoping review (10 scientific databases, 14 databases with grey literature and 14 predefined reports) in addition to three papers published after finalisations the literature search in IDEAHL, followed by a qualitative workshop study and a final analysis combining results. Results: The literature search resulted in 33 papers on dHL instruments, that was analyzed together with three recently published reviews and findings from a workshop with 13 champions (understood as professionals with expertise in HL and dHL) from five countries (Spain, Denmark, Sweden, Australia, and Germany) representing the health sector or health literacy research. Future tools should adapt to the latest trends and technologies, considering attitudes towards digital health and trust in its services. They should identify beneficiaries of digital health services, measure the impact of dHL interventions, and objectively evaluate functional skills. These tools should be evidence-based, validate instruments, interpret dHL results, and capture diverse experiences to reveal health behaviour changes. Conclusions: The eHealth Literacy Scale (eHEALS), despite being the most frequently utilized tool, has limitations in scope and adaptability. Future tools need to reflect digital trends, encompassing individual skills. However, it is important to note that the `adequacy' of dHL is context-specific and relies on healthcare systems and the technology provided, particularly the user interface. The focus should be on health improvement, not just elevating dHL levels. A comprehensive approach to dHL assessments addressing diversity and relevance is crucial. Ethical considerations in dHL, including privacy and data security, are important due to potential feelings of shame among those with low literacy levels. ", doi="10.2196/59807", url="https://www.jmir.org/2025/1/e59807" } @Article{info:doi/10.2196/60472, author="Maini, Ishana and Gilotra, Kevin and Sadigh, Gelareh", title="Patient Factors Associated With the Use of Online Portal Health Information in the Postpandemic Era: Cross-Sectional Analysis of a National Survey", journal="J Med Internet Res", year="2025", month="Apr", day="3", volume="27", pages="e60472", keywords="patient portal", keywords="utilization", keywords="health disparity", keywords="post-pandemic", keywords="health information", keywords="prevalence", keywords="portal use", keywords="survey", keywords="health care provider", keywords="Americans", keywords="US", abstract="Background: Patients' electronic access to their health information can improve long-term health outcomes. Few studies have evaluated barriers that may limit access to portal health information before the COVID-19 pandemic such as preference for in-person visits, lack of perceived need to use a patient portal system, and lack of comfort or experience with computers. With the increased use of telehealth during the pandemic, patients' comfort with portal applications and digital health literacy has improved. Objective: The purpose of this study was to assess the prevalence of portal use and factors associated with patients' portal access after the COVID-19 pandemic. Methods: This study used data from the 2022 National Cancer Institute's Health Information National Trends Survey (HINTS 6). Adult patients (aged ?18 years) who responded to the survey question about patient portal access were included. A multivariate logistic regression analysis was performed to determine characteristics associated with portal access. Results: A total number of 5958 patients were included (weighted n=245,721,106), with a mean age of 48.2 (20.1) years and were mostly female (119,538,392/236,138,857, 50.6\%) and white (167,163,482/227,232,636, 73.6\%). Overall, 61.3\% (150,722,178/245,721,106) of all respondents reported accessing portals over the last 12 months and 43.7\% (82,620,907/188,860,031) used multiple portals. Most participants (135,011,661/150,104,795, 89.9\%) reported using portals to access test results, followed by viewing clinical notes (104,541,142/149,867,276, 69.8\%) downloading personal health information (47,801,548/150,017,130, 31.9\%). The likelihood of portal use significantly increased by 24.9\% points (95\% CI 19.4-30.5) when patients were offered access to portals by health care providers or insurers compared with those not offered access or did not know if they were offered access. The likelihood of portal use also increased by 19.5\% points (95\% CI 15.1-23.9) among patients with a health care provider encouraging them to access portals, compared to patients who did not receive encouragement to do so. Having a college education versus education below college level and living in metropolitan areas versus nonmetropolitan regions increased the probability of portal use by 6.9\% points (95\% CI 3.1-10.8) and 6.9\% points (95\% CI 1.3-12.6), respectively. Of note, males (compared with females) and those of Hispanic background (compared with non-Hispanic individuals) were less likely to be offered portal access by 10.8\% points (95\% CI 6.3-15.2) and 6.9\% points (95\% CI 1.7-12.1), respectively. Conclusions: This study demonstrates that most Americans use patient portals, though certain patient populations such as those with less than college degree education or living in nonmetropolitan areas continue to face greater difficulty accessing them. Interventions targeted at equality in offering access to patient portals and encouraging patients to use them could advance equitable and widespread access to patient portals. ", doi="10.2196/60472", url="https://www.jmir.org/2025/1/e60472" } @Article{info:doi/10.2196/66117, author="Stephen, Anna Divya and Nordin, Anna and Johansson, Unn-Britt and Nilsson, Jan", title="eHealth Literacy and Its Association With Demographic Factors, Disease-Specific Factors, and Well-Being Among Adults With Type 1 Diabetes: Cross-Sectional Survey Study", journal="JMIR Diabetes", year="2025", month="Mar", day="31", volume="10", pages="e66117", keywords="cross-sectional studies", keywords="diabetes mellitus, type 1", keywords="digital technology", keywords="eHealth literacy", keywords="health literacy", abstract="Background: The use of digital health technology in diabetes self-care is increasing, making eHealth literacy an important factor to consider among people with type 1 diabetes. There are very few studies investigating eHealth literacy among adults with type 1 diabetes, highlighting the need to explore this area further. Objective: The aim of this study was to explore associations between eHealth literacy and demographic factors, disease-specific factors, and well-being among adults with type 1 diabetes. Methods: The study used data from a larger cross-sectional survey conducted among adults with type 1 diabetes in Sweden (N=301). Participants were recruited using a convenience sampling method primarily through advertisements on social media. Data were collected between September and November 2022 primarily through a web-based survey, although participants could opt to answer a paper-based survey. Screening questions at the beginning of the survey determined eligibility to participate. In this study, eHealth literacy was assessed using the Swedish version of the eHealth Literacy Scale (Sw-eHEALS). The predictor variables, well-being was assessed using the World Health Organization-5 Well-Being Index and psychosocial self-efficacy using the Swedish version of the Diabetes Empowerment Scale. The survey also included research group--developed questions on demographic and disease-specific variables as well as digital health technology use. Data were analyzed using multiple linear regression presented as nested models. A sample size of 270 participants was required in order to detect an association between the dependent and predictor variables using a regression model based on an F test. The final sample size included in the nested regression model was 285. Results: The mean Sw-eHEALS score was 33.42 (SD 5.32; range 8?40). The model involving both demographic and disease-specific variables explained 31.5\% of the total variation in eHealth literacy and was deemed the best-fitting model. Younger age (P=.01; B=--0.07, SE=0.03;95\% CI --0.12 to --0.02), lower self-reported glycated hemoglobin levels (P=.04; B=--0.06, SE=0.03; 95\% CI --0.12 to 0.00), and higher psychosocial self-efficacy (P<.001; B=3.72, SE=0.53; 95\% CI 2.68-4.75) were found associated with higher Sw-eHEALS scores when adjusted for demographic and disease-specific variables in this model. Well-being was not associated with eHealth literacy in this study. Conclusions: The demographic and disease-specific factors explained the variation in eHealth literacy in this sample. Further studies in this area using newer eHealth literacy tools are important to validate our findings. The study highlights the importance of development and testing of interventions to improve eHealth literacy in this population for better glucose control. These eHealth literacy interventions should be tailored to meet the needs of people in varying age groups and with differing levels of psychosocial self-efficacy. ", doi="10.2196/66117", url="https://diabetes.jmir.org/2025/1/e66117" } @Article{info:doi/10.2196/65269, author="Yang, Jun Hyo and Lee, Ji-Hyun and Lee, Wonjae", title="Factors Influencing Health Care Technology Acceptance in Older Adults Based on the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology: Meta-Analysis", journal="J Med Internet Res", year="2025", month="Mar", day="28", volume="27", pages="e65269", keywords="technology adoption", keywords="older adults", keywords="health care technology", keywords="technology acceptance model", keywords="unified theory of acceptance and use of technology", keywords="meta-analysis", abstract="Background: The technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT) are widely used to examine health care technology acceptance among older adults. However, existing literature exhibits considerable heterogeneity, making it difficult to determine consistent predictors of acceptance and behavior. Objective: We aimed to (1) determine the influence of perceived usefulness (PU), perceived ease of use (PEOU), and social influence (SI) on the behavioral intention (BI) to use health care technology among older adults and (2) assess the moderating effects of age, gender, geographic region, type of health care technology, and presence of visual demonstrations. Methods: A systematic search was conducted across Google Scholar, Web of Science, Scopus, IEEE Xplore, and ProQuest databases on March 15, 2024, following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Of the 1167 initially identified studies, 41 studies (11,574 participants; mean age 67.58, SD 4.76 years; and female:male ratio=2.00) met the inclusion criteria. The studies comprised 12 mobile health, 12 online or telemedicine, 9 wearable, and 8 home or institution hardware investigations, with 23 studies from Asia, 7 from Europe, 7 from African-Islamic regions, and 4 from the United States. Studies were eligible if they used the TAM or UTAUT, examined health care technology adoption among older adults, and reported zero-order correlations. Two independent reviewers screened studies, extracted data, and assessed methodological quality using the Newcastle-Ottawa Scale, evaluating selection, comparability, and outcome assessment with 34\% (14/41) of studies rated as good quality and 66\% (27/41) as satisfactory. Results: Random-effects meta-analysis revealed significant positive correlations for PU-BI (r=0.607, 95\% CI 0.543-0.665; P<.001), PEOU-BI (r=0.525, 95\% CI 0.462-0.583; P<.001), and SI-BI (r=0.551, 95\% CI 0.468-0.624; P<.001). High heterogeneity was observed across studies (I{\texttwosuperior}=95.9\%, 93.6\%, and 95.3\% for PU-BI, PEOU-BI, and SI-BI, respectively). Moderator analyses revealed significant differences based on geographic region for PEOU-BI (Q=8.27; P=.04), with strongest effects in Europe (r=0.628) and weakest in African-Islamic regions (r=0.480). Technology type significantly moderated PU-BI (Q=8.08; P=.04) and SI-BI (Q=14.75; P=.002), with home or institutional hardware showing the strongest effects (PU-BI: r=0.736; SI-BI: r=0.690). Visual demonstrations significantly enhanced PU-BI (r=0.706 vs r=0.554; Q=4.24; P=.04) and SI-BI relationships (r=0.670 vs r=0.492; Q=4.38; P=.04). Age and gender showed no significant moderating effects. Conclusions: The findings indicate that PU, PEOU, and SI significantly impact the acceptance of health care technology among older adults, with heterogeneity influenced by geographic region, type of technology, and presence of visual demonstrations. This suggests that tailored strategies for different types of technology and the use of visual demonstrations are important for enhancing adoption rates. Limitations include varying definitions of older adults across studies and the use of correlation coefficients rather than controlled effect sizes. Results should therefore be interpreted within specific contexts and populations. ", doi="10.2196/65269", url="https://www.jmir.org/2025/1/e65269" } @Article{info:doi/10.2196/64707, author="Pettersson, Linda and Johansson, Stefan and Demmelmaier, Ingrid and von Koch, Lena and Gulliksen, Jan and Hedvall, Per-Olof and Gummesson, Karl and Gustavsson, Catharina", title="Accessibility of eHealth Before and During the COVID-19 Pandemic Among People With and People Without Impairment: Repeated Cross-Sectional Survey", journal="JMIR Public Health Surveill", year="2025", month="Mar", day="28", volume="11", pages="e64707", keywords="eHealth", keywords="impairment", keywords="accessibility", keywords="digital inclusion", keywords="universal design", keywords="disability", keywords="digital divide", keywords="electronic health", keywords="COVID-19", keywords="pandemic", keywords="cross-sectional study", keywords="Sweden", keywords="online booking", keywords="digital identification", keywords="web portal", keywords="health information", keywords="control group", keywords="public health", keywords="digital health", keywords="digital literacy", keywords="health informatics", keywords="mobile phone", abstract="Background: The adoption of eHealth accelerated during the COVID-19 pandemic. Inequalities in the adoption of eHealth during the COVID-19 pandemic have been reported, but there are few such studies among people with impairment. Objectives: This study aimed to investigate self-reported use and difficulty in the use of eHealth before the COVID-19 pandemic compared to during late social distancing restrictions in Sweden, among people with and without impairment, as well as between different types of impairment. Methods: A cross-sectional survey was distributed twice by snowball sampling to people with self-reported impairment and a general population matched by age, gender, and county. Use and difficulty in the use of six eHealth services were compared between groups using chi-square test and logistic regression with year interaction terms, reported as odds ratio adjusted (aOR) for gender and age with 95\% CI. Results: The surveys included 1631 (in 2019) and 1410 (in 2021) participants with impairment, and 1084 (in 2019) and 1223 (in 2021) participants without. Participants with impairment, compared to those without impairment, reported less use and more difficulty in booking health care appointments online, digital identification, and the Swedish national web portal for health information and eHealth services (1177.se), both before and during the pandemic (P=.003 or lower). Video health care appointments were the exception to this disability digital divide in eHealth as video appointment adoption was the most likely among participants with attention, executive, and memory impairments (interaction term aOR 2.10, 95\% CI 1.30?3.39). Nonuse and difficulty in the use of eHealth were consistently associated with language impairments and intellectual impairments. For example, language impairments were inversely associated with use of the logged-in eHealth services in 1177.se in 2021 (aOR 0.49, 95\% CI 0.36?0.67) and were associated with difficulty in the use of 1177.se in 2019 (aOR 2.24, 95\% CI 1.50?3.36) and the logged-in eHealth services in 1177.se in 2021 (aOR 1.89, 95\% CI 1.32?2.70). Intellectual impairments were inversely associated with the use of the logged-in eHealth services in 1177.se in 2021 (aOR 0.19, 95\% CI 0.13?0.27). Conclusions: This repeated cross-sectional survey study, including participants with diverse types of impairment and a control group without impairment, reveals persisting disability digital divides, despite an accelerated adoption of eHealth across the pandemic. eHealth services were not accessible to some groups of people who were identified as being at risk of severe disease during the COVID-19 pandemic. This implies that all people could not use eHealth as a measure of infection protection. ", doi="10.2196/64707", url="https://publichealth.jmir.org/2025/1/e64707" } @Article{info:doi/10.2196/55072, author="Wadman, Ruth and Walker, Lauren and Taylor, Olivia and Heron, Paul and Newbronner, Elizabeth and Spanakis, Panagiotis and Crosland, Suzanne and Peckham, Jane Emily", title="Patterns of Internet Use in People Diagnosed With Severe Mental Illness: Qualitative Interview Study", journal="J Med Internet Res", year="2025", month="Mar", day="28", volume="27", pages="e55072", keywords="severe mental illness", keywords="internet use", keywords="qualitative", keywords="typology", keywords="protective strategies", keywords="digital divide", abstract="Background: People with severe mental illness (SMI) face profound health inequalities, which may be exacerbated by increased rates of digital exclusion, especially as health services move to online provision. The activities that people carry out online can affect how they feel about the internet and may determine whether a person has a positive or negative experience when using the internet. This, in turn, could affect their mental health. To support people with SMI in using digital technology and the internet safely, it is important to understand the internet and digital technology use of those with SMI and their perceived positive or negative impact on their mental health. Objective: This study aimed to explore the internet and digital technology use of those with SMI, with particular focus on any association between greater use of the internet and poorer self-reported mental health. Methods: We carried out a qualitative interview study with 16 people with SMI. The sample was drawn from a wider investigation of the impact of the pandemic and its restrictions on the health and well-being of 367 people with SMI. We purposively sampled from the wider study based on age, gender, frequency of internet use, and self-reported mental health. The data were analyzed by 2 researchers using framework analysis. Results: Participant experiences fell into 3 broad categories: those who had a positive or neutral internet-based experience, those who had negative or difficult experiences, and low users or those with poor digital literacy. Those who had positive or neutral experiences could be broken down into 2 subcategories: first, those with positive or neutral experiences of the internet who were similar in terms of the activities participated in, feelings reported, and their concerns about the internet, and second, conscious users who were mindful of their interaction with the internet world. Participants with difficult experiences fell into 2 categories: those with worries and fears related to using the internet and those who had difficulty limiting their internet use. Conclusions: People with SMI, similarly the general population, are expected to conduct more of their activities of daily living online in the postpandemic world. This research shows that most internet users with SMI have positive or neutral experiences. However, our typology reveals subgroups of the population with SMI for whom there is a relationship between internet use and difficult feelings. These subgroups can be identified by asking questions about online activities; time spent online; feelings, difficulties, or issues experienced; and use of gambling, dating, adult content, and conspiracy theory websites. Our findings point to further work in collaboration with people with lived experience to modify and test this typology. ", doi="10.2196/55072", url="https://www.jmir.org/2025/1/e55072" } @Article{info:doi/10.2196/70404, author="Mackwood, Matthew and Fisher, Elliott and Schmidt, O. Rachel and O'Malley, James A. and Rodriguez, P. Hector and Shortell, Stephen and Akr{\'e}, Ellesse-Roselee and Berube, Alena and Schifferdecker, E. Karen", title="Primary Care Practice Factors Associated With Telehealth Adoption in the United States: Cross-Sectional Survey Analysis", journal="J Med Internet Res", year="2025", month="Mar", day="28", volume="27", pages="e70404", keywords="telehealth", keywords="telemedicine", keywords="remote consultation", keywords="primary health care", keywords="general practice", keywords="internet access", keywords="health policy", keywords="health care economics and organizations", keywords="access to primary care", keywords="digital divide", keywords="vulnerable populations", keywords="medically underserved area", doi="10.2196/70404", url="https://www.jmir.org/2025/1/e70404" } @Article{info:doi/10.2196/66058, author="Zhang, Chenglin and Mohamad, Emma and Azlan, Anis Arina and Wu, Anqi and Ma, Yilian and Qi, Yihan", title="Social Media and eHealth Literacy Among Older Adults: Systematic Literature Review", journal="J Med Internet Res", year="2025", month="Mar", day="26", volume="27", pages="e66058", keywords="eHealth literacy", keywords="digital health literacy", keywords="older adults", keywords="social media", keywords="health information", keywords="systematic review", abstract="Background: The advent of social media has significantly transformed health communication and the health-related actions of older adults, offering both obstacles and prospects for this generation to embrace eHealth developments. Objective: We aimed to investigate the correlation between social media and eHealth literacy in older individuals and answer four research questions: (1) What are the specific social media behaviors (including general use behaviors and health behaviors) of older adults on social media? (2) How do these behaviors impact their eHealth literacy? (3) How does eHealth literacy influence older adults' social media behaviors? and (4) What factors influence older adults' use of social media for health-related purposes? Methods: Using predetermined keywords and inclusion criteria, we searched Scopus, Web of Science, and PubMed databases for English-language journal articles published from 2000 to 2024, following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) principles. The initial search identified 1591 publications, and after removing duplicates, 48.21\% (767/1591) of publications remained. Ultimately, 1\% (16/1591) of studies met the inclusion criteria. A research question--driven manual qualitative thematic analysis was conducted, guided by the categorization of social media use behaviors, the definition of eHealth literacy, and the social-ecological model to provide direction for coding and thematic analysis. In addition, attention was given to identifying unanticipated behaviors or phenomena during the coding process, and these were subsequently incorporated into the analytical framework. Results: The results indicated that older adults' general social media use behaviors are primarily characterized by social media preferences, with 2 subthemes identified. Their social media health behaviors revealed 5 main themes and 14 subthemes. Among the primary themes, health information behavior appeared most frequently (12/16, 75\%), followed by self-management (8/16, 50\%). Other themes included health decision-making (4/16, 25\%), telemedicine (3/16, 19\%), and health interventions (2/16, 13\%). Cross-thematic analysis confirmed that older adults' social media use behaviors and their eHealth literacy had a reciprocal relationship. Finally, the study revealed that the use of social media to improve eHealth literacy among older adults was influenced by individual, interpersonal, institutional or organizational, and social factors. Conclusions: The reciprocal relationship between older adults' social media use and eHealth literacy highlights the importance of establishing a long-term positive mechanism that mutually reinforces social media health practices and eHealth literacy. Based on the findings, this review proposes key directions for efforts to achieve this goal: (1) leveraging postpandemic momentum to enhance eHealth literacy among older adults through social media, (2) reconsidering the dimensions of eHealth literacy among older adults in the context of Web 2.0, (3) actively developing age-friendly integrated social media health service platforms, (4) optimizing social media for engaging and reliable health information for older adults, and (5) integrating social support systems to foster lifelong eHealth learning for older adults. ", doi="10.2196/66058", url="https://www.jmir.org/2025/1/e66058" } @Article{info:doi/10.2196/63671, author="Yu, Yao and Liang, Zhenning and Zhou, Qingping and Tuersun, Yusupujiang and Liu, Siyuan and Wang, Chenxi and Xie, Yuying and Wang, Xinyu and Wu, Zhuotong and Qian, Yi", title="Decomposition and Comparative Analysis of Urban-Rural Disparities in eHealth Literacy Among Chinese University Students: Cross-Sectional Study", journal="J Med Internet Res", year="2025", month="Mar", day="26", volume="27", pages="e63671", keywords="university students", keywords="eHealth literacy", keywords="urban-rural disparities", keywords="Fairlie decomposition model", keywords="health equity", abstract="Background: Mobile health care is rapidly expanding in China, making the enhancement of eHealth literacy a crucial strategy for improving public health. However, the persistent urban-rural divide may contribute to disparities in eHealth literacy between urban and rural university students, potentially affecting their health-related behaviors and outcomes. Objective: This study aims to examine disparities in eHealth literacy between university students in urban and rural China, identifying key influencing factors and their contributions. The findings will help bridge these gaps, promote social equity, enhance overall health and well-being, and inform future advancements in the digital health era. Methods: The eHealth Literacy Scale (eHEALS) was used to assess eHealth literacy levels among 7230 university students from diverse schools and majors across 10 regions, including Guangdong Province, Shanghai Municipality, and Jiangsu Province. Descriptive statistics summarized demographic, sociological, and lifestyle characteristics. Chi-square tests examined the distribution of eHealth literacy between urban and rural students. A binary logistic regression model identified key influencing factors, while a Fairlie decomposition model quantified their contributions to the observed disparities. Results: The average eHealth literacy score among Chinese university students was 29.22 (SD 6.68), with 4135 out of 7230 (57.19\%) scoring below the passing mark. Rural students had a significantly higher proportion of inadequate eHealth literacy (2837/4510, 62.90\%) compared with urban students (1298/2720, 47.72\%; P<.001). The Fairlie decomposition analysis showed that 71.4\% of the disparity in eHealth literacy was attributable to urban-rural factors and unobserved variables, while 28.6\% resulted from observed factors. The primary contributors were monthly per capita household income (13.4\%), exercise habits (11.7\%), and 9-item Patient Health Questionnaire (PHQ-9) scores (2.1\%). Conclusions: Rural university students exhibit lower eHealth literacy levels than their urban counterparts, a disparity influenced by differences in socioeconomic status, individual lifestyles, and personal health status. These findings highlight the need for targeted intervention strategies, including (1) improving access to eHealth resources in rural and underserved areas; (2) fostering an environment that encourages physical activity to promote healthy behaviors; (3) expanding school-based mental health services to enhance health information processing capacity; and (4) implementing systematic eHealth literacy training with ongoing evaluation. These strategies will support equitable access to and utilization of eHealth resources for all students, regardless of their geographic location. ", doi="10.2196/63671", url="https://www.jmir.org/2025/1/e63671" } @Article{info:doi/10.2196/70483, author="Chen, Si and Ebrahimi, V. Omid and Cheng, Cecilia", title="New Perspective on Digital Well-Being by Distinguishing Digital Competency From Dependency: Network Approach", journal="J Med Internet Res", year="2025", month="Mar", day="25", volume="27", pages="e70483", keywords="digital wellness", keywords="affective well-being", keywords="emotional regulation", keywords="coping", keywords="digital competence", keywords="digital autonomy", keywords="artificial intelligence", abstract="Background: In the digital age, there is an emerging area of research focusing on digital well-being (DWB), yet conceptual frameworks of this novel construct are lacking. The current conceptualization either approaches the concept as the absence of digital ill-being, running the risk of pathologizing individual digital use, or follows the general subjective well-being framework, failing to highlight the complex digital nature at play. Objective: This preregistered study aimed to address this gap by using a network analysis, which examined the strength of the relationships among affective (digital stress and web-based hedonic well-being), cognitive (online intrinsic needs satisfaction), and social (online social connectedness and state empathy) dimensions of DWB and their associations with some major DWB protective and risk factors (ie, emotional regulation, nomophobia, digital literacy, self-control, problematic internet use, coping styles, and online risk exposure). Methods: The participants were 578 adults (mean age 38.7, SD 13.14 y; 277/578, 47.9\% women) recruited from the United Kingdom and the United States who completed an online survey. Two network models were estimated. The first one assessed the relationships among multiple dimensions of DWB, and the second examined the relationships between DWB dimensions and related protective and risk factors. Results: The 2 resulting network structures demonstrated high stability, with the correlation stability coefficients being 0.67 for the first and 0.75 for the second regularized Gaussian graphical network models. The first network indicated that all DWB variables were positively related, except for digital stress, which was negatively correlated with the most central node---online intrinsic needs satisfaction. The second network revealed 2 distinct communities: digital competency and digital dependency. Emotional regulation emerged as the most central node with the highest bridge expected influence, positively associated with emotion-focused coping in the digital competency cluster and negatively associated with avoidant coping in the digital dependency cluster. In addition, some demographic differences were observed. Women scored higher on nomophobia ($\chi$24=10.7; P=.03) and emotion-focused coping ($\chi$24=14.9; P=.01), while men scored higher on digital literacy ($\chi$24=15.2; P=.01). Compared with their older counterparts, younger individuals scored lower on both emotional regulation (Spearman $\rho$=0.27; P<.001) and digital self-control (Spearman $\rho$=0.35; P<.001) and higher on both digital stress (Spearman $\rho$=?0.14; P<.001) and problematic internet use (Spearman $\rho$=?0.25; P<.001). Conclusions: The network analysis revealed how different aspects of DWB were interconnected, with the cognitive component being the most influential. Emotional regulation and adaptive coping strategies were pivotal in distinguishing digital competency from dependency. ", doi="10.2196/70483", url="https://www.jmir.org/2025/1/e70483" } @Article{info:doi/10.2196/60547, author="Salma, Jordana and Au, Alesia and Sayadi, Ghada and Kleib, Manal", title="Digital Competence of Arabic-Speaking Immigrant and Refugee Older Adults Enacting Agency and Navigating Barriers: Qualitative Descriptive Study", journal="J Med Internet Res", year="2025", month="Mar", day="25", volume="27", pages="e60547", keywords="digital competence", keywords="Arab", keywords="older adult", keywords="co-design", keywords="migrant", keywords="information and communications technology", keywords="ICT", abstract="Background: Canada's immigrant and refugee older adult population is projected to grow substantially, making equitable access to information and communications technologies (ICTs) vital for enhancing quality of life in older age. Strengthening the digital competence of immigrant and refugee older adults can improve their social connectedness and access to local information. Objective: This study explored the digital competence of Arabic-speaking immigrant and refugee older adults, focusing on how they engage with ICTs to meet their information and communication needs and the strategies they use to navigate digital barriers. Methods: A qualitative descriptive methodology within a social constructivist paradigm was adopted, incorporating triangulated data collection and iterative co-design cycles. The qualitative approach facilitated an in-depth exploration of participants' experiences, skills, and emotions and the contextual factors influencing their digital competence. Data were collected through storytelling approaches, qualitative interviews, and focus group discussions, which were effective in capturing the experiential aspects of aging and technology use. Co-design cycles informed 6 digital learning sessions tailored to participants' immediate learning needs, fostering motivation and engagement and allowing for observation of ICT use. Digital competence was mapped across the learning domains of the Digital Competence Framework for Citizens 2.2. Results: This study engaged 31 Arabic-speaking immigrant and refugee older adults residing in Canada. Most participants had limited formal education (19/31, 61\%), lived with family (22/31, 70\%), and reported a low income (21/31, 68\%). All participants (31/31, 100\%) used smartphones as their primary ICT device, whereas few (3/31, 10\%) had access to a computer. In total, 3 themes were identified from the analysis, grounded in Digital Competence Framework for Citizens 2.2 competencies on information and data literacy, communication and collaboration, and safety and problem-solving. The themes focused on agency, which is enhanced or constrained using ICTs, impacting older adults' desire and ability to use these technologies to independently meet their daily needs. Conclusions: Immigrant and refugee older adults require support to navigate digital barriers and gain digital competence. Smartphones serve as a critical tool for enhancing digital agency, which can lead to greater social connectedness and improved access to local resources in older age. The findings will inform the design of future digital competence programs for older migrants, emphasizing community partnership and reciprocal learning. ", doi="10.2196/60547", url="https://www.jmir.org/2025/1/e60547" } @Article{info:doi/10.2196/64505, author="Bober, Timothy and Garvin, Sophia and Krall, Jodi and Zupa, Margaret and Low, Carissa and Rosland, Ann-Marie", title="Examining How Adults With Diabetes Use Technologies to Support Diabetes Self-Management: Mixed Methods Study", journal="JMIR Diabetes", year="2025", month="Mar", day="25", volume="10", pages="e64505", keywords="diabetes", keywords="self-management", keywords="mobile health", keywords="health technology", keywords="continuous glucose monitors", keywords="digital health literacy", abstract="Background: Technologies such as mobile apps, continuous glucose monitors (CGMs), and activity trackers are available to support adults with diabetes, but it is not clear how they are used together for diabetes self-management. Objective: This study aims to understand how adults with diabetes with differing clinical profiles and digital health literacy levels integrate data from multiple behavior tracking technologies for diabetes self-management. Methods: Adults with type 1 or 2 diabetes who used ?1 diabetes medications responded to a web-based survey about health app and activity tracker use in 6 categories: blood glucose level, diet, exercise and activity, weight, sleep, and stress. Digital health literacy was assessed using the Digital Health Care Literacy Scale, and general health literacy was assessed using the Brief Health Literacy Screen. We analyzed descriptive statistics among respondents and compared health technology use using independent 2-tailed t tests for continuous variables, chi-square for categorical variables, and Fisher exact tests for digital health literacy levels. Semistructured interviews examined how these technologies were and could be used to support daily diabetes self-management. We summarized interview themes using content analysis. Results: Of the 61 survey respondents, 21 (34\%) were Black, 23 (38\%) were female, and 29 (48\%) were aged ?45 years; moreover, 44 (72\%) had type 2 diabetes, 36 (59\%) used insulin, and 34 (56\%) currently or previously used a CGM. Respondents had high levels of digital and general health literacy: 87\% (46/53) used at least 1 health app, 59\% (36/61) had used an activity tracker, and 62\% (33/53) used apps to track ?1 health behaviors. CGM users and nonusers used non-CGM health apps at similar rates (16/28, 57\% vs 12/20, 60\%; P=.84). Activity tracker use was also similar between CGM users and nonusers (20/33, 61\% vs 14/22, 64\%; P=.82). Respondents reported sharing self-monitor data with health care providers at similar rates across age groups (17/32, 53\% for those aged 18-44 y vs 16/29, 55\% for those aged 45-70 y; P=.87). Combined activity tracker and health app use was higher among those with higher Digital Health Care Literacy Scale scores, but this difference was not statistically significant (P=.09). Interviewees (18/61, 30\%) described using blood glucose level tracking apps to personalize dietary choices but less frequently used data from apps or activity trackers to meet other self-management goals. Interviewees desired data that were passively collected, easily integrated across data sources, visually presented, and tailorable to self-management priorities. Conclusions: Adults with diabetes commonly used apps and activity trackers, often alongside CGMs, to track multiple behaviors that impact diabetes self-management but found it challenging to link tracked behaviors to glycemic and diabetes self-management goals. The findings indicate that there are untapped opportunities to integrate data from apps and activity trackers to support patient-centered diabetes self-management. ", doi="10.2196/64505", url="https://diabetes.jmir.org/2025/1/e64505", url="http://www.ncbi.nlm.nih.gov/pubmed/40131316" } @Article{info:doi/10.2196/63584, author="Bataineh, S. Bara and Marti, Nathan C. and Murthy, Dhiraj and Badillo, David and Chow, Sherman and Loukas, Alexandra and Wilkinson, V. Anna", title="Vaping, Acculturation, and Social Media Use Among Mexican American College Students: Protocol for a Mixed Methods Web-Based Cohort Study", journal="JMIR Res Protoc", year="2025", month="Mar", day="24", volume="14", pages="e63584", keywords="vaping", keywords="social media", keywords="Mexican American", keywords="college students", keywords="marketing", keywords="acculturation", keywords="protocol", keywords="artificial intelligence", abstract="Background: The tobacco industry has a history of targeting minority communities, including Hispanic individuals, by promoting vaping through social media. This marketing increases the risk of vaping among Hispanic young adults, including college students. In Texas, college enrollment among Mexican Americans has significantly increased over recent years. However, little research exists on the link between social media and vaping and the underlying mechanisms (ie, outcome expectations, attitudes, and beliefs) explaining how vaping-related social media impacts vaping among Mexican American college students. Moreover, there is limited knowledge about how acculturation moderates the association between social media and vaping. Hispanic individuals, particularly Mexican Americans, are the largest ethnic group in Texas colleges; thus, it is crucial to understand the impact of social media and acculturation on their vaping behaviors. Objective: We outline the mixed methods used in Project Vaping, Acculturation, and Media Study (VAMoS). We present descriptive analyses of the participants enrolled in the study, highlight methodological strengths, and discuss lessons learned during the implementation of the study protocol related to recruitment and data collection and management. Methods: Project VAMoS is being conducted with Mexican American students attending 1 of 6 Texas-based colleges: University of Texas (UT) Arlington, UT Dallas, UT El Paso, UT Rio Grande Valley, UT San Antonio, and the University of Houston System. This project has 2 phases. Phase 1 included an ecological momentary assessment (EMA) study and qualitative one-on-one interviews (years 1-2), and phase 2 includes cognitive interviews and a 4-wave web-based survey study (years 2-4) with objective assessments of vaping-related social media content to which participants are exposed. Descriptive statistics summarized participants' characteristics in the EMA and web-based survey. Results: The EMA analytic sample comprised 51 participants who were primarily female (n=37, 73\%), born in the United States (n=48, 94\%), of middle socioeconomic status (n=38, 75\%), and aged 21 years on average (SD 1.7 years). The web-based survey cohort comprised 1492 participants self-identifying as Mexican American; Tejano, Tejana, or Tejanx; or Chicano, Chicana, or Chicanx heritage who were primarily female (n=1042, 69.8\%), born in the United States (n=1366, 91.6\%), of middle socioeconomic status (n=1174, 78.7\%), and aged 20.1 years on average at baseline (SD 2.2 years). Of the baseline cohort, the retention rate in wave 2 was 74.7\% (1114/1492). Conclusions: Project VAMoS is one of the first longitudinal mixed methods studies exploring the impact of social media and acculturation on vaping behaviors specifically targeting Mexican American college students. Its innovative approach to objectively measuring social media exposure and engagement related to vaping enhances the validity of self-reported data beyond what national surveys can achieve. The results can be used to develop evidence-based, culturally relevant interventions to prevent vaping among this rapidly growing minority population. International Registered Report Identifier (IRRID): DERR1-10.2196/63584 ", doi="10.2196/63584", url="https://www.researchprotocols.org/2025/1/e63584" } @Article{info:doi/10.2196/64635, author="Shih, J. Jonathan and Kuznia, Magdalene and Nouri, Sarah and Sherwin, B. Elizabeth and Kemper, E. Kathryn and Rubinsky, D. Anna and Lyles, R. Courtney and Khoong, C. Elaine", title="Differences in Telemedicine Use for Patients With Diabetes in an Academic Versus Safety Net Health System: Retrospective Cohort Study", journal="J Med Internet Res", year="2025", month="Mar", day="24", volume="27", pages="e64635", keywords="telehealth", keywords="telemedicine", keywords="diabetes", keywords="delivery of health care", keywords="primary health care", keywords="health care utilization", keywords="health care disparities", keywords="chronic disease", keywords="COVID-19", keywords="safety net providers", keywords="public health emergency", keywords="older adults", abstract="Background: The COVID-19 public health emergency catalyzed widespread adoption of both video- and audio-only telemedicine visits. This proliferation highlighted inequities in use by age, race and ethnicity, and preferred language. Few studies have investigated how differences in health system telemedicine implementation affected these inequities. Objective: This study aims to describe patients who used telemedicine during the public health emergency and identify predictors of telemedicine use across 2 health systems with different telemedicine implementations. Methods: This retrospective cohort study included adults with diabetes receiving primary care between July 2020 and March 2021 at 2 independent health systems in San Francisco, California. Participant sociodemographic characteristics, health information, and telemedicine utilization were acquired from electronic health records. The primary outcome was visit type (any audio or video telemedicine vs in-person only) during the study period. We used multivariable logistic regression to assess the association between visit type and key predictors associated with digital exclusion (age, race and ethnicity, preferred language, and neighborhood socioeconomic status), adjusting for baseline health. We included an interaction term to evaluate health system impact on each predictor and then stratified by health system (academic, which prioritized video-enabled visits, vs safety net, which prioritized audio-only visits). Results: Among 10,201 patients, we found higher odds of telemedicine use in the safety net system compared with the academic system (adjusted odds ratio [aOR] 2.94, 95\% CI 2.48-3.48). Patients with younger age (18-34 years: aOR 2.55, 95\% CI 1.63-3.97; 35-49 years: aOR 1.39, 95\% CI 1.12-1.73 vs 75+ years) and Chinese-language preference (aOR 2.04, 95\% CI 1.66-2.5 vs English) had higher odds of having a telemedicine visit. Non-Hispanic Asian (aOR 0.67, 95\% CI 0.56-0.79), non-Hispanic Black (aOR 0.83, 95\% CI 0.68-1), and Hispanic or Latine (aOR 0.76, 95\% CI 0.61-0.95) patients had lower odds of having a telemedicine visit than non-Hispanic White patients. We found significant interactions between health system and age, race and ethnicity, and preferred language (P<.05). After stratifying by health system, several differences persisted in the academic system: non-Hispanic Asian (aOR 0.57, 95\% CI 0.46-0.70) and Latine (aOR 0.67, 95\% CI 0.50-0.91) patients had lower odds of a telemedicine visit, and younger age groups had higher odds (18-34 years: aOR 3.97, 95\% CI 1.99-7.93; 35-49 years: aOR 1.86, 95\% CI 1.36-2.56). In the safety net system, Chinese-speaking patients had higher odds of having a telemedicine visit (aOR 2.52, 95\% CI 1.85-3.42). Conclusions: We found disparities in telemedicine utilization by age, race and ethnicity, and preferred language, primarily in the health system that used more video visits. While telemedicine expanded rapidly recently, certain populations remain at risk for digital exclusion. These findings suggest that system-level factors influence telemedicine adoption and implementation decisions impact accessibility for populations at risk for digital exclusion. ", doi="10.2196/64635", url="https://www.jmir.org/2025/1/e64635", url="http://www.ncbi.nlm.nih.gov/pubmed/40126552" } @Article{info:doi/10.2196/66248, author="Peng, Yingchun and Zhang, Zhiying and Zhang, Ruyi and Zhang, Yiyao and Wang, Runying and Zhang, Jiaying and Zhai, Shaoqi and Jin, Qilin and Zhou, Jiaojiao and Chen, Jingjing", title="Multidimensional Evaluation of the Process of Constructing Age-Friendly Communities Among Different Aged Community Residents in Beijing, China: Cross-Sectional Questionnaire Study", journal="JMIR Public Health Surveill", year="2025", month="Mar", day="21", volume="11", pages="e66248", keywords="age-friendly", keywords="positive living experience", keywords="active aging", keywords="healthy aging", keywords="community residents", keywords="older adults", keywords="age-friendly communities", keywords="multiple stakeholders", keywords="evaluating age-friendliness", keywords="urban and suburban areas", abstract="Background: The World Health Organization (WHO) has made significant efforts to promote age-friendly community initiatives (AFCI) to address the challenges of population aging. Previous studies have discussed the construction of age-friendly communities (AFC) in urban cities, evaluating AFCs often rooted in the WHO's Checklist and focused on a single group, namely older adults, overlooking the role of other age groups in community development. Objective: This study aims to evaluate AFCs from multidimensional aspects, particularly the positive living experiences of older adults, summarize the deficiencies in both hardware and software aspects in the process of constructing AFCs in China, and provide some recommendations to promote AFCIs worldwide. Methods: Using a multistage sampling strategy, 470 community residents from urban and suburban areas participated in this study. A self-designed questionnaire was designed to use a standardized method to evaluate older adults' living experiences across five dimensions, including the degree of age-friendliness in the community, social support, sense of gain, sense of happiness, and sense of security. Respondents rated each dimension on a 10-point scale. This study defined community residents into 3 groups: residents younger than 45 years(Group 1: youth), those aged 45-59 years (Group 2: middle-aged), and those aged ?60 years (Group 3: old-age). Results: In this study, 382 (81.3\%) community residents were unaware of the relevant concepts of AFCs. Most participants highlighted the importance of community support and health services, followed by respect and social inclusion, and outdoor spaces and buildings. The findings showed that the highest-rated dimension was the sense of security. The mean scores for the degree of the sense of security in urban and suburban areas were 7.88 (SD 1.776) and 7.73 (SD 1.853), respectively. For Group 2, the mean scores were 7.60 (SD 2.070) and 8.03 (SD 1.662), while Group 3 had mean scores of 7.34 (SD 2.004) and 7.91 (SD 1.940). The lowest-rated dimension was social support; the mean scores for Group 1 for the degree of social support in urban and suburban areas were 7.63 (SD 1.835) and 7.48 (SD 1.918), respectively. For Group 2, the mean scores were 6.94 (SD 2.087) and 7.36 (SD 2.228), while those for Group 3 were 6.37 (SD 2.299) and 6.84 (SD 2.062). Further, there were significant differences in the scores of residents among different age groups in urban areas regarding age-friendliness (P<.001), social support, (P<.001), and sense of gain (P=.01). Conclusions: China is in the early stages of developing AFCs. We further highlight the importance of continued research on the collaboration and participation among multiple stakeholders. These outcomes have a direct and positive impact on the well?being of older adults. ", doi="10.2196/66248", url="https://publichealth.jmir.org/2025/1/e66248" } @Article{info:doi/10.2196/56803, author="Yadav, Vijay and Neto, Chaibub Elias and Doerr, Megan and Pratap, Abhishek and Omberg, Larsson", title="Long-Term Engagement of Diverse Study Cohorts in Decentralized Research: Longitudinal Analysis of ``All of Us'' Research Program Data", journal="Interact J Med Res", year="2025", month="Mar", day="19", volume="14", pages="e56803", keywords="digital health", keywords="engagement behavior", keywords="All of Us Research Program", keywords="retention", keywords="decentralized research cohorts", abstract="Background: The generalizability of clinical research hinges on robust study designs, which include the recruitment and maintenance of a representative study population. This study examines the evolution of the demographic characteristics of 329,038 participants who enrolled and participated in The All of Us Research Program (AoURP), a decentralized study aimed at representing the diversity of the United States. Objective: The primary objectives of this study were to assess alterations in the demographic composition of the cohort at different protocol stages within AoURP, while analyzing completion rates and timeframes for survey and substudy completion. Additionally, we examined how participant interactions with the program impacted engagement and survey responses. Methods: We conducted a longitudinal analysis of the AoURP data, tracking changes in demographic composition, completion rates, and completion times for surveys and substudies. Comparative analyses were performed to assess differences in engagement and survey completion based on sociodemographic characteristics of participants involved in postenrollment study components. Results: The sociodemographic composition of the cohort that participated in the postenrollment study (eg, optional components) differed significantly from that of the recruited population. The proportion of self-identified White participants increased by 21.2\%, whereas the proportion of Black or African American participants decreased by 12.18\% (P=.02). Participants who identified as White (n=93,614, 52.7\%) and NonHispanic (n=109,279, 42.21\%) were more engaged compared to those identifying as Black or African American (n=10,887, 15.76\%), Asian (n=4274, 38.72\%), or Hispanic (n=12,530, 20.7\%; P=.006). Participants' response times to study surveys and completeness varied across all demographic groups (P<.001). Furthermore, those identifying as White skipped fewer survey questions (1.19) compared to those identifying as Black or African American (1.40) or other racial and ethnic identities (P<.001). Conclusions: The AoURP dataset serves as an exceptional resource for investigating diverse public health concerns. However, the longitudinal analysis of participant-level data underscores a significant skew in population diversity, suggesting the need for targeted strategies to enhance engagement and retention across all groups. Ensuring diversity in the cohort is essential for maintaining the study's representativeness and the broad applicability of its findings. ", doi="10.2196/56803", url="https://www.i-jmr.org/2025/1/e56803" } @Article{info:doi/10.2196/64249, author="Ghorbanian Zolbin, Maedeh and Kujala, Sari and Huvila, Isto", title="Experiences and Expectations of Immigrant and Nonimmigrant Older Adults Regarding eHealth Services: Qualitative Interview Study", journal="J Med Internet Res", year="2025", month="Mar", day="14", volume="27", pages="e64249", keywords="eHealth services", keywords="older adults", keywords="immigrant", keywords="usability", keywords="user experience", keywords="emotion", keywords="self-determination theory", abstract="Background: The emergence of eHealth services could contribute to improving individuals' quality of life by optimizing effective and efficient care. However, various challenges might limit some older adults' use of eHealth services. Objective: This study aimed to understand the perspectives of older adults (aged ?65 years) of different backgrounds regarding eHealth services. We explored the experiences of Iranian immigrant and nonimmigrant older adults with eHealth services to identify their perceived challenges, emotions, and wishes. Immigrants face more challenges, and there is a need to understand their perspectives in addition to those of nonimmigrants. Iranians are one important immigrant group, as their number is limited and their specific needs are less well understood compared to those of the bigger immigrant groups. Methods: This study used a qualitative explorative research design. Semistructured interviews were conducted between February 2023 and May 2023. The participants were 25 older adults: nonimmigrants residing in cities (n=8, 32\%), nonimmigrants residing in rural areas (n=9, 36\%), and Iranian immigrants residing in cities (n=8, 32\%). Data were analyzed through inductive and deductive content analysis and interpreted through self-determination theory. Results: Interacting with eHealth services was challenging for some older adults. They perceived several difficulties, with the most obvious ones being related to values and preferences, as some older adults did not value eHealth services (16/25, 64\%), had insufficient digital skills (15/25, 60\%), and experienced usability issues (15/25, 60\%). The first two challenges were more pronounced among immigrants. In contrast, nonimmigrants from cities, being more familiar with the services, shared more usability issues. These identified challenges prevented older adults from satisfying their basic psychological needs of being competent and autonomous users and having a sense of belonging (aspects of self-determination theory), which were the main source of negative emotions. A common negative feeling was confusion (16/25, 64\%) among those with limited experience using smart devices and those with poor self-reported digital skills. Conversely, older adults' interaction with eHealth services generated positive emotions that were connected to the satisfaction of their basic psychological needs. Being interested in using eHealth services was a common feeling among most participants regardless of their background and was connected to satisfying their need for being competent and autonomous. The positive emotions could be supported by applying older adults' needs to the design of eHealth services (10/25, 40\%) and by supporting their digital skills (19/25, 76\%). Conclusions: Some older adults value eHealth services and see their added benefits. However, various challenges limit their use of these services. The analysis of older adults' needs yielded several practical ideas that could improve the user-friendliness of the services and highlighted the importance of sufficient support services tailored to the cultural needs of specific groups of older adults. ", doi="10.2196/64249", url="https://www.jmir.org/2025/1/e64249" } @Article{info:doi/10.2196/60170, author="H{\"u}er, Theresa and Walendzik, Anke and Kleinschmidt, Lara and H{\"o}fer, Klemens and Nauendorf, Beatrice and Malsch, Juliane and Brittner, Matthias and Brandenburg, Paul and Aeustergerling, Andr{\'e} and Schneider, Udo and Wadeck, Anja and Liersch, Sebastian and Sehlen, Stephanie and Schwarze, Katharina and Wasem, J{\"u}rgen", title="Use of Video Consultation Between 2017 and 2020 in Outpatient Medical Care in Germany and Characteristics of Their User Groups: Analysis of Claims Data", journal="JMIR Form Res", year="2025", month="Mar", day="14", volume="9", pages="e60170", keywords="video consultation", keywords="outpatient medical care", keywords="user groups", keywords="claims data analysis", keywords="Germany", keywords="physician", keywords="psychotherapist", keywords="sociodemographic", keywords="healthcare", keywords="digital health", keywords="digital consultation", keywords="telehealth", keywords="telemonitoring", keywords="telemedicine", abstract="Background: Supplementing outpatient medical care with the use of video consultations could, among other benefits, improve access, especially in structurally disadvantaged areas. Objective: This claims data analysis, carried out as part of the German research project ``Preference-based use of video consultation in urban and rural regions,'' aimed to analyze the use of video consultations and the characteristics of its user groups. Methods: Claims data from 3 Statutory Health Insurance Funds (SHIFs) and 4 Associations of Statutory Health Insurance Physicians (ASHIPs) from the period April 2017 to the end of 2020 were used. Data from a sample of about 6.1 million insured and 33,100 physicians and psychotherapists were analyzed. In addition to data on the use of video consultations, patient data on sociodemographic characteristics, diagnoses, and place of residence were included. To analyze the physicians' perspectives, specialty groups, demographic characteristics, and the type of practice location were also included. In consideration of the principles of data economy and the fact that data analysis represents merely a preliminary phase within the broader project, the SHIFs and ASHIPs transmitted aggregated data (cross-tabulations per subgroup analysis) to the evaluator. For this reason, the analyses were constrained to a comparison of video consultation users versus nonusers, differentiated according to the aforementioned subgroups. Furthermore, the association between place of residence or type of region of the practice location and the use of video consultation was examined. A significance level of P<.05 was set for chi-square tests. Results: From 2017 to 2019, almost no video consultations were used in outpatient care in the German health care system. Although this changed considerably in relative terms with the start of the COVID-19 pandemic (but still at a very low absolute level), there was also a clear decline in the use of video consultations as the number of infections flattened out. Physicians working in psychotherapy and psychological psychotherapists used video consultations with around 16\% (44,808/282,530) of their treatment cases in the second quarter of 2020, followed by psychotherapists using video consultations for children (10,828/113,293, 10\%). Although the absolute number of treatment cases with video consultations among general practitioners was very high compared with other specialist groups, their share of video consultations in all treatment cases was very low at 0.3\% (29,600/9,837,118). Younger age groups and those located in urban areas used video consultations more frequently; this applies to both patients (age groups: $\chi$27=9903.2, P<.001; region types: $\chi$22=3746.2, P<.001) and service providers (age groups: $\chi$23=11,338.2, P<.001; region types: $\chi$22=8474.1, P<.001). Conclusions: The current use of video consultations is below its potential in terms of scope and user groups. The widespread and lasting use of video consultations will only succeed if the potential user groups accept this form of service provision and recognize its advantages. Further analyses (both qualitative, such as focus group discussions, and quantitative, such as preference surveys) should therefore investigate the preferences of user groups for the use of video consultations. International Registered Report Identifier (IRRID): RR2-10.2196/50932 ", doi="10.2196/60170", url="https://formative.jmir.org/2025/1/e60170", url="http://www.ncbi.nlm.nih.gov/pubmed/40085136" } @Article{info:doi/10.2196/56720, author="Varela, Kimahri Luna and Horton, Stephanie and Abdelmoity, Ahmed and Le Pichon, Jean-Baptiste and Hoffman, A. Mark", title="YouTube User Traffic to Paired Epilepsy Education Videos in English and Spanish: Comparative Study", journal="JMIR Form Res", year="2025", month="Mar", day="13", volume="9", pages="e56720", keywords="epilepsy", keywords="patient education", keywords="informatics", keywords="social media", keywords="biomedical research", keywords="social determinants of health", keywords="accessibility", keywords="engagement", keywords="comparative analysis", keywords="clinical videos", keywords="English", keywords="Spanish", keywords="neurological disorder", keywords="YouTube", keywords="bilingual", keywords="audience engagement", keywords="clinical knowledge", abstract="Background: Effectively managing epilepsy in children necessitates the active engagement of parents, a factor that is reliant on their understanding of this neurological disorder. Widely available, high-quality, patient-focused, bilingual videos describing topics important for managing epilepsy are limited. YouTube Analytics is a helpful resource for gaining insights into how users of differing backgrounds consume video content. Objective: This study analyzes traffic to paired educational videos of English and Spanish versions of the same content. By examining the use patterns and preferences of individuals seeking information in different languages, we gained valuable insights into how language influences the use of clinical content. Methods: Physician experts created epilepsy management videos for the REACT (Reaching Out for Epilepsy in Adolescents and Children Through Telemedicine) YouTube channel about 17 subjects, with an English and Spanish version of each. The Children's Mercy Kansas City neurology clinic incorporated these into the department's educational process. YouTube Analytics enabled analysis of traffic patterns and video characteristics between September 2, 2021, and August 31, 2023. Results: The Spanish group had higher engagement and click-through rates. The English versions of all videos had 141,605 total impressions, while impressions for the Spanish versions totaled 156,027. The Spanish videos had 11,339 total views, while the English videos had 3366. The views per month were higher for the Spanish videos (mean 472, SD 292) compared to the English set (mean 140, SD 91; P<.001). The two groups also differed in search behavior and external traffic sources, with WhatsApp driving more traffic to the Spanish videos than the English versions (94 views compared to 1). The frequency of search terms used varied by language. For example, ``tonic clonic'' was the most frequent term (n=372) resulting in views for English videos, while ``tipos de convulsiones'' (types of convulsions) was the most common expression (n=798) resulting in views for Spanish videos. We noted increased monthly views for all videos after adding tags on YouTube. Before tagging, the mean number of views per month for the English-language group was 61 (SD 28), which increased to 220 (SD 53) post tagging. A similar trend can be observed in the Spanish-language group as well. Before tagging, the mean number of monthly views was 201 (SD 71), which increased to 743 (SD 144) after tagging. Conclusions: This study showed high traffic for Spanish video content related to epilepsy in a set of paired English/Spanish videos. This highlights the importance of bilingual health content and optimizing video content based on viewer preferences and search behavior. Understanding audience engagement patterns through YouTube Analytics can further enhance the dissemination of clinical video content to users seeking content in their primary language, and tagging videos can have a substantial impact on views. ", doi="10.2196/56720", url="https://formative.jmir.org/2025/1/e56720" } @Article{info:doi/10.2196/65776, author="Wolfe, H. Brooke and Oh, Jung Yoo and Choung, Hyesun and Cui, Xiaoran and Weinzapfel, Joshua and Cooper, Amanda R. and Lee, Hae-Na and Lehto, Rebecca", title="Caregiving Artificial Intelligence Chatbot for Older Adults and Their Preferences, Well-Being, and Social Connectivity: Mixed-Method Study", journal="J Med Internet Res", year="2025", month="Mar", day="13", volume="27", pages="e65776", keywords="older adults", keywords="technology use", keywords="AI chatbots", keywords="artificial intelligence", keywords="well-being", keywords="social connectedness", keywords="mobile phone", abstract="Background: The increasing number of older adults who are living alone poses challenges for maintaining their well-being, as they often need support with daily tasks, health care services, and social connections. However, advancements in artificial intelligence (AI) technologies have revolutionized health care and caregiving through their capacity to monitor health, provide medication and appointment reminders, and provide companionship to older adults. Nevertheless, the adaptability of these technologies for older adults is stymied by usability issues. This study explores how older adults use and adapt to AI technologies, highlighting both the persistent barriers and opportunities for potential enhancements. Objective: This study aimed to provide deeper insights into older adults' engagement with technology and AI. The technologies currently used, potential technologies desired for daily life integration, personal technology concerns faced, and overall attitudes toward technology and AI are explored. Methods: Using mixed methods, participants (N=28) completed both a semistructured interview and surveys consisting of health and well-being measures. Participants then participated in a research team--facilitated interaction with an AI chatbot, Amazon Alexa. Interview transcripts were analyzed using thematic analysis, and surveys were evaluated using descriptive statistics. Results: Participants' average age was 71 years (ranged from 65 years to 84 years). Most participants were familiar with technology use, especially using smartphones (26/28, 93\%) and desktops and laptops (21/28, 75\%). Participants rated appointment reminders (25/28, 89\%), emergency assistance (22/28, 79\%), and health monitoring (21/28, 75\%). Participants rated appointment reminders (25/28, 89.3\%), emergency assistance (22/28, 78.6\%), and health monitoring (21/28, 75\%) as the most desirable features of AI chatbots for adoption. Digital devices were commonly used for entertainment, health management, professional productivity, and social connectivity. Participants were most interested in integrating technology into their personal lives for scheduling reminders, chore assistance, and providing care to others. Challenges in using new technology included a commitment to learning new technologies, concerns about lack of privacy, and worries about future technology dependence. Overall, older adults' attitudes coalesced into 3 orientations, which we label as technology adapters, technologically wary, and technology resisters. These results illustrate that not all older adults were resistant to technology and AI. Instead, older adults are aligned with categories on a spectrum between willing, hesitant but willing, and unwilling to use technology and AI. Researchers can use these findings by asking older adults about their orientation toward technology to facilitate the integration of new technologies with each person's comfortability and preferences. Conclusions: To ensure that AI technologies effectively support older adults, it is essential to foster an ongoing dialogue among developers, older adults, families, and their caregivers, focusing on inclusive designs to meet older adults' needs. ", doi="10.2196/65776", url="https://www.jmir.org/2025/1/e65776" } @Article{info:doi/10.2196/66054, author="Tieu, Vivian and Kim, Sungjin and Seok, Minji and Ballas, Leslie and Kamrava, Mitchell and Atkins, M. Katelyn", title="Gender Differences in X (Formerly Twitter) Use Among Oncology Physicians at National Cancer Institute--Designated Cancer Centers: Cross-Sectional Study", journal="J Med Internet Res", year="2025", month="Mar", day="11", volume="27", pages="e66054", keywords="social media", keywords="gender disparities", keywords="gender differences", keywords="cross-sectional study", keywords="twitter", keywords="oncology", doi="10.2196/66054", url="https://www.jmir.org/2025/1/e66054" } @Article{info:doi/10.2196/51804, author="Portela, Diana and Freitas, Alberto and Costa, El{\'i}sio and Giovannini, Mattia and Bousquet, Jean and Almeida Fonseca, Jo{\~a}o and Sousa-Pinto, Bernardo", title="Impact of Demographic and Clinical Subgroups in Google Trends Data: Infodemiology Case Study on Asthma Hospitalizations", journal="J Med Internet Res", year="2025", month="Mar", day="10", volume="27", pages="e51804", keywords="infodemiology", keywords="asthma", keywords="administrative databases", keywords="multimorbidity", keywords="co-morbidity", keywords="respiratory", keywords="pulmonary", keywords="Google Trends", keywords="correlation", keywords="hospitalization", keywords="admissions", keywords="autoregressive", keywords="information seeking", keywords="searching", keywords="searches", keywords="forecasting", abstract="Background: Google Trends (GT) data have shown promising results as a complementary tool to classical surveillance approaches. However, GT data are not necessarily provided by a representative sample of patients and may be skewed toward demographic and clinical groups that are more likely to use the internet to search for their health. Objective: In this study, we aimed to assess whether GT-based models perform differently in distinct population subgroups. To assess that, we analyzed a case study on asthma hospitalizations. Methods: We analyzed all hospitalizations with a main diagnosis of asthma occurring in 3 different countries (Portugal, Spain, and Brazil) for a period of approximately 5 years (January 1, 2012-December 17, 2016). Data on web-based searches on common cold for the same countries and time period were retrieved from GT. We estimated the correlation between GT data and the weekly occurrence of asthma hospitalizations (considering separate asthma admissions data according to patients' age, sex, ethnicity, and presence of comorbidities). In addition, we built autoregressive models to forecast the weekly number of asthma hospitalizations (for the different aforementioned subgroups) for a period of 1 year (June 2015-June 2016) based on admissions and GT data from the 3 previous years. Results: Overall, correlation coefficients between GT on the pseudo-influenza syndrome topic and asthma hospitalizations ranged between 0.33 (in Portugal for admissions with at least one Charlson comorbidity group) and 0.86 (for admissions in women and in White people in Brazil). In the 3 assessed countries, forecasted hospitalizations for 2015-2016 correlated more strongly with observed admissions of older versus younger individuals (Portugal: Spearman $\rho$=0.70 vs $\rho$=0.56; Spain: $\rho$=0.88 vs $\rho$=0.76; Brazil: $\rho$=0.83 vs $\rho$=0.82). In Portugal and Spain, forecasted hospitalizations had a stronger correlation with admissions occurring for women than men (Portugal: $\rho$=0.75 vs $\rho$=0.52; Spain: $\rho$=0.83 vs $\rho$=0.51). In Brazil, stronger correlations were observed for admissions of White than of Black or Brown individuals ($\rho$=0.92 vs $\rho$=0.87). In Portugal, stronger correlations were observed for admissions of individuals without any comorbidity compared with admissions of individuals with comorbidities ($\rho$=0.68 vs $\rho$=0.66). Conclusions: We observed that the models based on GT data may perform differently in demographic and clinical subgroups of participants, possibly reflecting differences in the composition of internet users' health-seeking behaviors. ", doi="10.2196/51804", url="https://www.jmir.org/2025/1/e51804" } @Article{info:doi/10.2196/50313, author="Hua, Zhong and Yuqing, Song and Qianwen, Liu and Hong, Chen", title="Factors Influencing eHealth Literacy Worldwide: Systematic Review and Meta-Analysis", journal="J Med Internet Res", year="2025", month="Mar", day="10", volume="27", pages="e50313", keywords="meta-analysis", keywords="eHealth literacy", keywords="eHealth", keywords="Technology Acceptance Model", keywords="Literacy and Health Conceptual Framework", keywords="social determinants of health", keywords="digital health", keywords="consumer", abstract="Background: eHealth literacy has increasingly emerged as a critical determinant of health, highlighting the importance of identifying its influencing factors; however, these factors remain unclear. Numerous studies have explored this concept across various populations, presenting an opportunity for a systematic review and synthesis of the existing evidence to better understand eHealth literacy and its key determinants. Objective: This study aimed to provide a systematic review of factors influencing eHealth literacy and to examine their impact across different populations. Methods: We conducted a comprehensive search of papers from PubMed, CNKI, Embase, Web of Science, Cochrane Library, CINAHL, and MEDLINE databases from inception to April 11, 2023. We included all those studies that reported the eHealth literacy status measured with the eHealth Literacy Scale (eHEALS). Methodological validity was assessed with the standardized Joanna Briggs Institute (JBI) critical appraisal tool prepared for cross-sectional studies. Meta-analytic techniques were used to calculate the pooled standardized $\beta$ coefficient with 95\% CIs, while heterogeneity was assessed using I2, the Q test, and $\tau$2. Meta-regressions were used to explore the effect of potential moderators, including participants' characteristics, internet use measured by time or frequency, and country development status. Predictors of eHealth literacy were integrated according to the Literacy and Health Conceptual Framework and the Technology Acceptance Model (TAM). Results: In total, 17 studies met the inclusion criteria for the meta-analysis. Key factors influencing higher eHealth literacy were identified and classified into 3 themes: (1) actions (internet usage: $\beta$=0.14, 95\% CI 0.102-0.182, I2=80.4\%), (2) determinants (age: $\beta$=--0.042, 95\% CI --0.071 to --0.020, I2=80.3\%; ethnicity: $\beta$=--2.613, 95\% CI --4.114 to --1.112, I2=80.2\%; income: $\beta$=0.206, 95\% CI 0.059-0.354, I2=64.6\%; employment status: $\beta$=--1.629, 95\% CI --2.323 to --0.953, I2=99.7\%; education: $\beta$=0.154, 95\% CI 0.101-0.208, I2=58.2\%; perceived usefulness: $\beta$=0.832, 95\% CI 0.131-1.522, I2=68.3\%; and self-efficacy: $\beta$=0.239, 95\% CI 0.129-0.349, I2=0.0\%), and (3) health status factor (disease: $\beta$=--0.177, 95\% CI --0.298 to --0.055, I2=26.9\%). Conclusions: This systematic review, guided by the Literacy and Health Conceptual Framework model, identified key factors influencing eHealth literacy across 3 dimensions: actions (internet usage), determinants (age, ethnicity, income, employment status, education, perceived usefulness, and self-efficacy), and health status (disease). These findings provide valuable guidance for designing interventions to enhance eHealth literacy. Trial Registration: PROSPERO CRD42022383384; https://www.crd.york.ac.uk/PROSPERO/view/CRD42022383384 ", doi="10.2196/50313", url="https://www.jmir.org/2025/1/e50313" } @Article{info:doi/10.2196/63482, author="Yew, Qian Sheng and Trivedi, Daksha and Adanan, Hafizah Nurul Iman and Chew, How Boon", title="Facilitators and Barriers to the Implementation of Digital Health Technologies in Hospital Settings in Lower- and Middle-Income Countries Since the Onset of the COVID-19 Pandemic: Scoping Review", journal="J Med Internet Res", year="2025", month="Mar", day="6", volume="27", pages="e63482", keywords="digital health implementation", keywords="facilitators", keywords="barriers", keywords="digital health classification framework", keywords="lower- and middle-income countries", abstract="Background: Although the implementation process of digital health technologies (DHTs) has been extensively documented in high-income countries, the factors that facilitate and prevent their implementation in lower- and middle-income countries (LMICs) may differ for various reasons. Objective: To address this gap in research, this scoping review aims to determine the facilitators and barriers to implementing DHTs in LMIC hospital settings following the onset of the COVID-19 pandemic. Additionally, the review outlined the types of DHTs that have been implemented in LMICs' hospitals during this pandemic and finally developed a classification framework to categorize the landscape of DHTs. Methods: Systematic searches were conducted on PubMed, Scopus, Web of Science, and Google Scholar for studies published from March 2020 to December 2023. We extracted data on authors, publication years, study objectives, study countries, disease conditions, types of DHTs, fields of clinical medicine where the DHTs are applied, study designs, sample sizes, characteristics of the study population, study location, and data collection methods of the included studies. Both quantitative and qualitative data were utilized to conduct a thematic analysis, using a deductive method based on the Practical, Robust Implementation and Sustainability Model (PRISM), to identify facilitators and barriers to DHT implementation. Finally, all accessible DHTs were identified and organized to create a novel classification framework. Results: Twelve studies were included from 292 retrieved articles. Telemedicine (n=5) was the most commonly used DHT in LMICs' hospitals, followed by hospital information systems (n=4), electronic medical records (n=2), and mobile health (n=1). These 4 DHTs, among the other existing DHTs, allowed us to develop a novel classification framework for DHTs. The included studies used qualitative methods (n=4), which included interviews and focus groups, quantitative methods (n=5), or a combination of both (n=2). Among the 64 facilitators of DHT implementation, the availability of continuous on-the-job training (n=3), the ability of DHTs to prevent cross-infection (n=2), and positive previous experiences using DHTs (n=2) were the top 3 reported facilitators. However, of the 44 barriers to DHT implementation, patients with poor digital literacy and skills in DHTs (n=3), inadequate awareness regarding DHTs among health care professionals and stakeholders (n=2), and concerns regarding the accuracy of disease diagnosis and treatment through DHTs (n=2) were commonly reported. Conclusions: In the postpandemic era, telemedicine, along with other DHTs, has seen increased implementation in hospitals within LMICs. All facilitators and barriers can be categorized into 6 themes, namely, (1) Aspects of the Health Care System; (2) Perspectives of Patients; (3) External Environment; (4) Implementation of Sustainable Infrastructure; (5) Characteristics of Health Care Organization; and (6) Characteristics of Patients. ", doi="10.2196/63482", url="https://www.jmir.org/2025/1/e63482", url="http://www.ncbi.nlm.nih.gov/pubmed/40053793" } @Article{info:doi/10.2196/52244, author="Davis, H. Victoria and Qiang, Rose Jinfan and Adekoya MacCarthy, Itunuoluwa and Howse, Dana and Seshie, Zita Abigail and Kosowan, Leanne and Delahunty-Pike, Alannah and Abaga, Eunice and Cooney, Jane and Robinson, Marjeiry and Senior, Dorothy and Zsager, Alexander and Aubrey-Bassler, Kris and Irwin, Mandi and Jackson, A. Lois and Katz, Alan and Marshall, Gard Emily and Muhajarine, Nazeem and Neudorf, Cory and Garies, Stephanie and Pinto, D. Andrew", title="Perspectives on Using Artificial Intelligence to Derive Social Determinants of Health Data From Medical Records in Canada: Large Multijurisdictional Qualitative Study", journal="J Med Internet Res", year="2025", month="Mar", day="6", volume="27", pages="e52244", keywords="artificial intelligence", keywords="social determinants of health", keywords="sociodemographic data", keywords="social needs", keywords="social care", keywords="primary care", keywords="machine learning", keywords="qualitative study", abstract="Background: Data on the social determinants of health could be used to improve care, support quality improvement initiatives, and track progress toward health equity. However, this data collection is not widespread. Artificial intelligence (AI), specifically natural language processing and machine learning, could be used to derive social determinants of health data from electronic medical records. This could reduce the time and resources required to obtain social determinants of health data. Objective: This study aimed to understand perspectives of a diverse sample of Canadians on the use of AI to derive social determinants of health information from electronic medical record data, including benefits and concerns. Methods: Using a qualitative description approach, in-depth interviews were conducted with 195 participants purposefully recruited from Ontario, Newfoundland and Labrador, Manitoba, and Saskatchewan. Transcripts were analyzed using an inductive and deductive content analysis. Results: A total of 4 themes were identified. First, AI was described as the inevitable future, facilitating more efficient, accessible social determinants of health information and use in primary care. Second, participants expressed concerns about potential health care harms and a distrust in AI and public systems. Third, some participants indicated that AI could lead to a loss of the human touch in health care, emphasizing a preference for strong relationships with providers and individualized care. Fourth, participants described the critical importance of consent and the need for strong safeguards to protect patient data and trust. Conclusions: These findings provide important considerations for the use of AI in health care, and particularly when health care administrators and decision makers seek to derive social determinants of health data. ", doi="10.2196/52244", url="https://www.jmir.org/2025/1/e52244", url="http://www.ncbi.nlm.nih.gov/pubmed/40053728" } @Article{info:doi/10.2196/66032, author="Uddin, Jamal and Feng, Cheng and Xu, Junfang", title="Health Communication on the Internet: Promoting Public Health and Exploring Disparities in the Generative AI Era", journal="J Med Internet Res", year="2025", month="Mar", day="6", volume="27", pages="e66032", keywords="internet", keywords="generative AI", keywords="artificial intelligence", keywords="ChatGPT", keywords="health communication", keywords="health promotion", keywords="health disparity", keywords="health", keywords="communication", keywords="AI", keywords="generative", keywords="tool", keywords="genAI", keywords="gratification theory", keywords="gratification", keywords="public health", keywords="inequity", keywords="disparity", doi="10.2196/66032", url="https://www.jmir.org/2025/1/e66032", url="http://www.ncbi.nlm.nih.gov/pubmed/40053755" } @Article{info:doi/10.2196/64672, author="DuPont-Reyes, J. Melissa and Villatoro, P. Alice and Tang, Lu", title="Health Information Scanning and Seeking in Diverse Language, Cultural and Technological Media Among Latinx Adolescents: Cross-Sectional Study", journal="J Med Internet Res", year="2025", month="Mar", day="5", volume="27", pages="e64672", keywords="adolescent behaviors", keywords="mental health", keywords="Latino", keywords="social media", keywords="adolescent", keywords="media use", keywords="internet use", keywords="health information seeking", keywords="health information scanning", keywords="mobile phone", abstract="Background: Continuous scientific and policy debate regarding the potential harm and/or benefit of media and social media on adolescent health has resulted, in part, from a deficiency in robust scientific evidence. Even with a lack of scientific consensus, public attitudes, and sweeping social media prohibitions have swiftly ensued. A focus on the diversity of adolescents around the world and their diverse use of language, culture, and social media is absent from these discussions. Objective: This study aims to guide communication policy and practice, including those addressing access to social media by adolescent populations. This study assesses physical and mental health information scanning and seeking behaviors across diverse language, cultural, and technological media and social media among Latinx adolescent residents in the United States. This study also explores how Latinx adolescents with mental health concerns use media and social media for support. Methods: In 2021, a cross-sectional survey was conducted among 701 US-based Latinx adolescents aged 13-20 years to assess their health-related media use. Assessments ascertained the frequency of media use and mental and physical health information scanning and seeking across various media technologies (eg, TV, podcasts, and social media) and language and cultural types (ie, Spanish, Latinx-tailored English, and general English). Linear regression models were used to estimate adjusted predicted means of mental and physical health information scanning and seeking across diverse language and cultural media types, net personal and family factors, in the full sample and by subsamples of mental health symptoms (moderate-high vs none-mild). Results: Among Latinx adolescents, media and social media use was similar across mental health symptoms. However, Latinx adolescents with moderate-high versus none-mild symptoms more often scanned general English media and social media for mental health information (P<.05), although not for physical health information. Also, Latinx adolescents with moderate-high versus none-mild symptoms more often sought mental health information on Latinx-tailored and general English media, and social media (P<.05); a similar pattern was found for physical health information seeking. In addition, Latinx adolescents with moderate-high versus none-mild symptoms often sought help from family and friends for mental and physical health problems and health care providers for mental health only (P<.05). Conclusions: While media and social media usage was similar across mental health, Latinx adolescents with moderate-high symptoms more often encountered mental health content in general English media and social media and turned to general English- and Latinx-tailored media and social media more often for their health concerns. Together these study findings suggest more prevalent and available mental health content in general English versus Spanish language and Latinx-tailored media and underscore the importance of providing accessible, quality health information across diverse language, cultural, and technological media and social networks as a viable opportunity to help improve adolescent health. ", doi="10.2196/64672", url="https://www.jmir.org/2025/1/e64672", url="http://www.ncbi.nlm.nih.gov/pubmed/40053766" } @Article{info:doi/10.2196/58867, author="Beerbaum, Julian and Robens, Sibylle and Fehring, Leonard and Mortsiefer, Achim and Meister, Sven", title="Patient Adoption of Digital Use Cases in Family Medicine and a Nuanced Implementation Approach for Family Doctors: Quantitative Web-Based Survey Study", journal="JMIR Form Res", year="2025", month="Mar", day="5", volume="9", pages="e58867", keywords="technology acceptance", keywords="UTAUT", keywords="family doctor", keywords="digital health", keywords="eHealth", keywords="video consultation", keywords="electronic health records", keywords="digital anamnesis", keywords="online appointment scheduling", abstract="Background: Digital use cases describe the application of technology to achieve specific outcomes. Several studies in health care have examined patients' overall attitudes toward digitalization and specific use cases. However, these studies have failed to provide a comparison of patient acceptance criteria between inherently different digital use cases in family medicine. Objective: To address this research gap, this paper aimed to assist family doctors in selecting digital use cases by comparing the underlying patient adoption factors and in driving usage of these use cases by presenting a differentiated implementation approach. Methods: Adapting an established Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire to 4 digital use cases in family medicine, we surveyed a large cross-sectional sample of adults living in Germany. The results of the web-based survey were then analyzed via descriptive statistics, ANOVA, and hierarchical regression models to compare the effects of sociodemographic and technology acceptance factors on the intention to use a specific use case. Results: Our web-based survey included 1880 participants. Of these 1880 participants, only 304 (16.2\%) agreed that the degree of digitalization is important when selecting a family practice. However, more digitally literate participants attributed greater importance to this criterion (B=0.226, SE 0.023; $\beta$=.223; P<.001), and digital literacy was found to be dependent on age (Welch F3,968.29=53.441; P<.001). Regarding sociodemographic characteristics, only digital literacy demonstrated a significant effect on the intention to use for all use cases, particularly scheduling doctor appointments online (B=0.322, SE 0.033; $\beta$=.408; P<.001). Furthermore, performance expectancy was the strongest predictor of the intention to use for all use cases, while further effects of technology acceptance factors depended on the use case (receiving medical consultations via video: B=0.603, SE 0.049; $\beta$=.527; P<.001; scheduling doctor appointments online: B=0.566, SE 0.043; $\beta$=.513; P<.001; storing personal medical information via electronic health records: B=0.405, SE 0.047; $\beta$=.348; P<.001; and providing personal information before consultation digitally [digital anamnesis]: B=0.434, SE 0.048; $\beta$=.410; P<.001). To illustrate, perceived privacy and security had an effect on the intention to use electronic health records (B=0.284, SE 0.040; $\beta$=.243; P<.001) but no effect on the intention to use video consultations (B=0.068, SE 0.042; $\beta$=.053; P=.10). Conclusions: In the selection and implementation of digital use cases, family doctors should always prioritize the perceived value of the digital use case for the patient, and further criteria might depend on the digital use case. Practice owners should therefore always harmonize the introduction of digital use cases with their own patient care strategies. Not every digital innovation fits every strategy and therefore every practice. ", doi="10.2196/58867", url="https://formative.jmir.org/2025/1/e58867", url="http://www.ncbi.nlm.nih.gov/pubmed/40053731" } @Article{info:doi/10.2196/60369, author="Tan, Jin Rayner Kay and Hensel, Devon and Ivanova, Olena and Bravo, Gomez Raquel and Olumide, Adesola and Adebayo, Emmanuel and Cleeve, Amanda and Gesselman, Amanda and Shah, Jyoti Sonam and Adesoba, Helen and Marley, Gifty and Tang, Weiming", title="Telemedicine Use During the COVID-19 Pandemic in 8 Countries From the International Sexual Health and Reproductive Health Consortium: Web-Based Cross-Sectional Survey Study", journal="J Med Internet Res", year="2025", month="Mar", day="4", volume="27", pages="e60369", keywords="COVID-19", keywords="telemedicine", keywords="sexual and reproductive health", keywords="pandemic", keywords="web-based survey", keywords="sexual health", keywords="reproductive health", keywords="communication technology", keywords="medical education", keywords="contraception", keywords="abortion", keywords="health care delivery", keywords="care", keywords="chronic condition", abstract="Background: Telemedicine is an important way to fill in the access gap to in-person health care services during challenging times like pandemics. Objective: This study aimed to investigate the role that telemedicine played during the COVID-19 pandemic by multicountry comparison of the use of telemedicine prior to and during the pandemic. Methods: This study analyzes data from the second wave of the International Sexual Health and Reproductive Health study. This included data collected between April 2021 and July 2022 in 8 countries, including Armenia (n=296), Egypt (n=889), Germany (n=138), Moldova (n=311), Nigeria (n=205), Portugal (n=951), Singapore (n=13), and Spain (n=54). This study covered sociodemographics, sexual and reproductive health (SRH), and telemedicine use. Descriptive statistics and multilevel modeling were used to assess the factors influencing the use of telemedicine. Results: Overall, 2857 participants were recruited. Approximately 57.6\% (n=1646) of participants had never used telemedicine prior to COVID-19 measures, while 45.9\% (n=1311) of participants required health care but reported not using telemedicine services following the introduction of COVID-19 measures. In high-income countries, the most common mode reported was audio-based telemedicine services, with 283 (71.8\%) and 417 (73.5\%) participants doing so before and during COVID-19, respectively. This was followed by text-based telemedicine services, with 152 (38.6\%) and 173 (30.5\%) participants doing so before and during COVID-19, respectively. In low- to middle-income countries, many participants also reported using audio-based telemedicine services, with 288 (35.3\%) and 237 (40.8\%) participants doing so before and during COVID-19, respectively. This was followed by chat-based telemedicine services, with 265 (32.4\%) and 217 (37.3\%) participants doing so before and during COVID-19, respectively. Multilevel modeling revealed that those who were older (adjusted odds ratio [aOR] 0.99, 95\% CI 0.99-1.00) and were in countries with a higher gross domestic product per capita (aOR 0.99, 95\% CI 0.98-1.00) were less likely to have ever used telemedicine. Participants who were of male sex assigned at birth (aOR 0.79, 95\% CI 0.65-0.96) were less likely to use telemedicine during the pandemic. Participants who perceived that they were worse off financially were more likely to have switched to telemedicine during COVID-19 (aOR 1.39, 95\% CI 1.02-1.89) and were more likely to report having a poor or fair experience of telemedicine services (aOR 1.75, 95\% CI 1.34-2.29). When sexual orientation was included in the model, nonheterosexual individuals were more likely to ever use telemedicine prior to COVID-19 (aOR 1.35, 95\% CI 1.08-1.69), more likely to have used telemedicine during COVID-19 (aOR 1.58, 95\% CI 1.24-2.02), and more likely to have switched to telemedicine during COVID-19 (aOR 1.55, 95\% CI 1.09-2.21). Conclusions: Telemedicine played a key role in addressing health care needs during the COVID-19 pandemic. Age, sex, economic status, and sexual orientation influenced its use. ", doi="10.2196/60369", url="https://www.jmir.org/2025/1/e60369", url="http://www.ncbi.nlm.nih.gov/pubmed/40053813" } @Article{info:doi/10.2196/66636, author="Werts-Pelter, J. Samantha and Chen, Zhao and Bea, W. Jennifer and Sokan, E. Amanda and Thomson, A. Cynthia", title="Analysis of the Relationship Between Rural-Urban Status and Use of Digital Health Technology Among Older Cancer Survivors Based on the Health Information National Trends Survey: Cross-Sectional Analysis", journal="JMIR Cancer", year="2025", month="Mar", day="4", volume="11", pages="e66636", keywords="cancer", keywords="non-metropolitan", keywords="disparities", keywords="digital divide", keywords="health research", keywords="aging", keywords="rural-urban", keywords="digital health technology", keywords="cross-sectional", keywords="health behaviors", keywords="mobile phone", abstract="Background: Though telehealth has been a promising avenue for engaging cancer survivors with health care and lifestyle programming, older and rural-dwelling cancer survivors may have additional challenges in accessing digital devices and tools that have not yet been described. This study aimed to use a robust, nationally representative sample collected in 2022 to provide an updated view of digital technology use and the use of technology for health in this population. Objective: This study aimed to examine the prevalence of digital technology use for health-related activities among older cancer survivors in both rural and urban settings. The primary outcomes of interest included (1) internet access and use for health-related activities, (2) digital device ownership and use as a tool for health behaviors, (3) use of social media for health, and (4) use of telehealth. Methods: A cross-sectional analysis of the National Cancer Institute's Health Information National Trends Survey Cycle 6 (HINTS 6) was completed to examine the prevalence of digital technology use among older cancer survivors. For analysis, the sample was restricted to cancer survivors over the age of 60 years (n=710). Unadjusted and adjusted logistic regression models were used to test the association between rurality and digital health tool use. Results: Overall, 17\% (125/710) of the sample lived in a rural area of the United States and the mean sample age was 73 (SD 8.2) years. Older cancer survivors, regardless of rural-urban status, reported a high prevalence of internet usage (n=553, 79.9\%), digital device ownership (n=676, 94.9\%), and social media use (n=448, 66.6\%). In unadjusted models, rural survivors were less likely than urban survivors to report that they had used a health or wellness application in the previous year (odds ratio [OR] 0.56, 95\% CI 0.32-0.97; P=.04). In adjusted models, rural survivors were more likely to report that they had shared personal health information on social media (OR 2.64, 95\% CI 1.13-6.19; P=.03). There were no differences in the proportion of rural and urban respondents who reported receiving health services through telehealth in the previous year. Conclusions: Regardless of the residential status, older cancer survivors report high internet and technology use for health-related activities. These results show promise for the feasibility of using digital technologies to implement supportive care and wellness programming with older cancer survivors. ", doi="10.2196/66636", url="https://cancer.jmir.org/2025/1/e66636" } @Article{info:doi/10.2196/48370, author="Francis, Karlee and Francis, Julie and Latimer, Margot and Gould, Hayley and Blackmore, Shante and MacLeod, Emily", title="Development and Testing of the Kids Hurt App, a Web-Based, Pain Self-Report App for First Nations Youths: Mixed Methods Study", journal="JMIR Hum Factors", year="2025", month="Mar", day="3", volume="12", pages="e48370", keywords="app", keywords="eHealth", keywords="pain", keywords="Indigenous", keywords="First Nations", keywords="children", keywords="youths", keywords="mobile phone", abstract="Background: First Nations children and youths may have unique ways to convey their health needs that have not been recognized by health providers. This may contribute to the disparity between high rates of mental health and physical pain and low rates of treatment for the conditions they experience. Evidence suggests that a colonial history has resulted in poor experiences with the health care system, lack of trust with health providers, and miscommunication between clinicians and patients. Contemporary ways, using both Indigenous and Western knowledge, are needed to bridge the gap in communicating pain. Objective: The aim of this qualitative study was to test the usability and clinical feasibility of the Kids Hurt App with First Nations youths and clinicians working with youths. Methods: Using a Two-Eyed Seeing approach, the Kids Hurt App was developed using concepts from validated mood and pain assessment apps combined with community-based research that gathered First Nations youths and clinicians perspectives on quality, intensity, and location of pain and hurt. The Kids Hurt App contains 16 screens accessible on any web-based device. Results: In total, 3 rounds of low-fidelity testing (n=19), 2 rounds of high-fidelity testing (n=20), and 2 rounds of clinical feasibility testing (n=10) were conducted with First Nations youths (10?19 years) to determine the relevance, validity, and usability of the Kids Hurt App. High-fidelity testing was also conducted with 15 clinicians after completing the high-fidelity youth sessions. Youths had constructive suggestions that were used to improve the app in subsequent rounds of version testing. There was one main discrepancy between youths and clinicians related to preference for how best to visually convey pain. The youth's preference was maintained in the app. Conclusions: All youths in all rounds of testing indicated that they would use the Kids Hurt App if it was available to them in a health care setting, with most clinicians noting that the app would be useful in practice. ", doi="10.2196/48370", url="https://humanfactors.jmir.org/2025/1/e48370" } @Article{info:doi/10.2196/58362, author="Junkins, Zachary and Zahan, Nusrath and Neyens, David", title="Examining Individuals' Use of the Internet for Health Care Activities Over Time: Results from the US National Health Interview Survey", journal="JMIR Hum Factors", year="2025", month="Feb", day="26", volume="12", pages="e58362", keywords="internet", keywords="web search", keywords="internet search", keywords="internet use", keywords="searching behavior", keywords="access to health information", keywords="telemedicine", keywords="telehealth", keywords="virtual care", keywords="virtual health", keywords="virtual medicine", keywords="logistic regression model", keywords="regression model", keywords="National Health Interview Survey", keywords="NHIS", abstract="Background: Telehealth is an increasingly important component of health care services. Telehealth services may present an opportunity to increase the equity, accessibility, and effectiveness of health care. As such, it is critical that telehealth design focuses on reducing the barriers to access and usability that may impair some telehealth users. Objective: Our goal was to identify different demographic characteristics, behaviors, or opinions that may predict groups who are likely to face a barrier to using telehealth services. Methods: We used data from the National Health Interview Survey and multiple logit regression models focused on different aspects of telehealth to examine three different avenues of telehealth service: looking up health information using the internet, scheduling an appointment using the internet, and communicating with a care provider through email using the internet in order to consider the ways in which different telehealth services may face different barriers. Results: Our results suggest that middle-aged (36-55 years old) and older adult (56-85 years old) respondents were significantly less likely to look up health information using the internet or schedule an appointment using the internet versus younger individuals (18-35 years old). Specifically, our analysis found that middle-aged adults were found to have a higher odds ratio than older adults (0.83 vs 0.65) for looking up health information using the internet. We also found that there were differences in age groups for using technology to perform health care--related tasks. In terms of searching for health information using the internet and scheduling appointments using the internet, we found differences between men and women, with women being significantly more likely than men to look up health information using the internet, schedule an appointment using the internet, and communicate with a care provider through email using the internet. Across all the investigated variables, we found that the rates of using the internet for looking up health information, scheduling an appointment, and communicating with a care provider over email increased substantially across the study period. The impact of costs was inconsistent across the different models in our analysis. We also found that there is a strong correlation between respondents' collaboration in their personal health and the likelihood that they would use telehealth services to meet these needs. Conclusions: This analysis provides an exploratory look at the data to highlight barriers that may impact a user's ability to access telehealth services in the context of other potential predictor variables to account for the real-world variability that these may present. Future work should examine the complex relationships of those variables and understand how these interactions are correlated with the respondents' use of telehealth. ", doi="10.2196/58362", url="https://humanfactors.jmir.org/2025/1/e58362" } @Article{info:doi/10.2196/60699, author="Han, Hae-Ra and Chepkorir, Joyline and Kim, Tina and Zamora, Martha and Huang, Emma", title="Perceptions, Experiences, and Beliefs About Patient Portals Among Women With Limited English Proficiency: Multicultural Qualitative Interview Study", journal="J Med Internet Res", year="2025", month="Feb", day="26", volume="27", pages="e60699", keywords="patient portal", keywords="limited English proficiency", keywords="immigrant", keywords="women", keywords="mobile phone", abstract="Background: Individuals in the United States with limited English proficiency (LEP) experience a disproportionate disease burden. Patient portals provide patient education, outreach, and linkage to preventive health services. While patient portals have been found to be effective in facilitating the use of preventive services, they have predominantly engaged well-educated, English-speaking, White populations. There is limited research investigating experiences and beliefs about patient portals among populations with LEP. Objective: This study aims to explore perceptions, experiences, and beliefs about patient portals among women with LEP. Methods: We used a qualitative semistructured interview design and recruited a purposive sample of women through diverse methods. The interview guide covered topics including experiences with patient portals, the perceived feasibility and relevance of patient portals, and perceptions of patient portals targeted toward women with LEP for health promotion. The interviews were audio recorded for verbatim transcription and analysis. Each bilingual interviewer reached data saturation after interviewing 12 (43\%), 9 (32\%), and 7 (25\%) Korean-, Spanish-, and Swahili-speaking women, respectively, yielding a total of 28 women in the study. Results: We identified 4 main themes that were common across all linguistic groups: perceived benefits of patient portals, perceived facilitators of patient portal use, perceived barriers to patient portal use, and preferred features and suggested improvements. Perceived benefits of patient portals had 5 subthemes: easier communication with health care providers and health systems, getting connected and staying connected with health systems, easier and efficient access to one's health records over time, staying informed of and engaged with one's health and health management, and better patient engagement in medical visits. Subthemes for perceived facilitators of patient portal use were availability of time, widespread use and availability of smartphones and the internet in the United States, family support, and parenthood. Subthemes for perceived barriers to patient portal use were limited digital literacy and limited access to technology, LEP, lack of awareness and knowledge about patient portals, and illiteracy. Finally, subthemes for preferred features and suggested improvements were expanded language access to accommodate non-English speakers, improved accessibility to health information using graphics and patient education materials, and user onboarding education and technical support. Of note, while most subthemes were shared across all 3 groups, the widespread use and availability of smartphones and the internet in the United States and illiteracy subthemes were unique to Swahili-speaking women. Conclusions: Women with LEP recognized multiple benefits of patient portals; however, several barriers were also identified. These included limited digital literacy, restricted access to technology, LEP, and illiteracy. Barriers to patient portal use were closely tied to social determinants of health, which are commonly experienced by women with LEP. To expedite the attainment of health equity, it is important to promote access to health resources such as patient portals. ", doi="10.2196/60699", url="https://www.jmir.org/2025/1/e60699" } @Article{info:doi/10.2196/50708, author="Rinderknecht, Fatuma-Ayaan and Yang, B. Vivian and Tilahun, Mekaleya and Lester, C. Jenna", title="Perspectives of Black, Latinx, Indigenous, and Asian Communities on Health Data Use and AI: Cross-Sectional Survey Study", journal="J Med Internet Res", year="2025", month="Feb", day="21", volume="27", pages="e50708", keywords="augmented intelligence", keywords="artificial intelligence", keywords="health equity", keywords="dermatology", keywords="Black", keywords="Latinx", keywords="Indigenous", keywords="Asian", keywords="racial and ethnic minority communities", keywords="AI", keywords="health care", keywords="health data", keywords="survey", keywords="racism", keywords="large language model", keywords="LLM", keywords="diversity", doi="10.2196/50708", url="https://www.jmir.org/2025/1/e50708" } @Article{info:doi/10.2196/63324, author="Wankah, Paul and Chandra, Shivani and Lofters, Aisha and Mohamednur, Nebila and Osei, Beverley and Makuwaza, Tutsirai and Sayani, Ambreen", title="Improving Digital Cancer Care for Older Black Adults: Qualitative Study", journal="J Med Internet Res", year="2025", month="Feb", day="19", volume="27", pages="e63324", keywords="digital care", keywords="cancer care", keywords="older Black adults", keywords="health equity", keywords="social determinants of health", keywords="access to care", keywords="health quality", abstract="Background: Health systems are rapidly promoting digital cancer care models to improve cancer care of their populations. However, there is growing evidence that digital cancer care can exacerbate inequities in cancer care for communities experiencing social disadvantage, such as Black communities. Despite the increasing recognition that older Black adults face significant challenges in accessing and using health care services due to multiple socioeconomic and systemic factors, there is still limited evidence regarding how older Black adults' access and use digital cancer care. Objective: This study aims to better understand the digital cancer care experience of older Black adults, their caregivers, and health care providers to identify strategies that can better support patient-centered digital cancer care. Methods: A total of 6 focus group interviews were conducted with older Black adults living with cancer, caregivers, and health care providers (N=55 participants) across 10 Canadian provinces. Focus group interviews were recorded and transcribed. Through a theory-informed thematic analysis approach, experienced qualitative researchers used the Patient Centered Care model and the synergies of oppression conceptual lens to inductively and deductively code interview transcripts in order to develop key themes that captured the digital cancer care experiences of older Black adults. Results: In total, 5 overarching themes describe the experience of older Black adults, caregivers, and health care providers in accessing and using digital cancer care: (1) barriers to access and participation in digital care services, (2) shifting caregivers' dynamics, (3) autonomy of choice and choosing based on the purpose of care, (4) digital accessibility, and (5) effective digital communication. We identify 8 barriers and 6 facilitators to optimal digital cancer for older Black adults. Barriers include limited digital literacy, linguistic barriers in traditional African or Caribbean languages, and patient concerns of shifting power dynamics when supported by their children for digital cancer care; and facilitators include community-based cancer support groups, caregiver support, and key features of digital technologies. Conclusions: These findings revealed a multifaceted range of barriers and facilitators to digital cancer care for older Black adults. This means that a multipronged approach that simultaneously focuses on addressing barriers and leveraging community strengths can improve access and usage of digital cancer care. A redesign of digital cancer care programs, tailored to the needs of most structurally marginalized groups like older Black adults, can enhance the digital care experience for all population groups. Public policies and organizational practices that address issues like availability of internet in remote areas, resources to support linguistic barriers, or culturally sensitive training are important in responding to the complexity of access to digital l cancer care. These findings have implications for other structurally marginalized and underresourced communities that have suboptimal access and usage of digital care. ", doi="10.2196/63324", url="https://www.jmir.org/2025/1/e63324" } @Article{info:doi/10.2196/57122, author="Shin, Jiyoung and Kang, Hun and Choi, Seongmi and Chu, Hui Sang and Choi, JiYeon", title="Identifying Profiles of Digital Literacy Among Community-Dwelling Korean Older Adults: Latent Profile Analysis", journal="J Med Internet Res", year="2025", month="Feb", day="19", volume="27", pages="e57122", keywords="digital literacy", keywords="digital divide", keywords="older adults", keywords="South Korea", keywords="latent profile analysis", abstract="Background: The digital divide is apparent not only between older and younger generations but also within the older adult population itself. Identifying digital literacy profiles among older adults is crucial for developing targeted strategies to narrow this divide. Objective: This study aimed to identify profiles of digital literacy among community-dwelling older adults and to examine factors associated with these profiles. Methods: Data were collected from community-dwelling older adults in South Korea through a nationwide cross-sectional survey that assessed digital literacy and related factors. Digital literacy was evaluated across 3 domains: information and communication (9 items), content creation and management (4 items), and safety and security (9 items). Latent profile analysis was used to identify profiles of digital literacy among community-dwelling older adults, and multinomial logistic regression was used to identify predictors of profile membership. Results: A total of 1016 older adults completed structured questionnaires (average age 68, SD 6.5 years; 486/1016, 47.8\% men). Three digital literacy profiles were identified (P<.001): ``low level'' (346/1016, 34.1\%), ``middle level'' (374/1016, 36.8\%), and ``high level'' (296/1016, 29.1\%). With the ``middle-level'' digital literacy group as the reference group, older adult participants (odds ratio [OR] 1.11, 95\% CI 1.07-1.15) with less than a middle school education (vs with a college degree or higher; OR 7.22, 95\% CI 2.31-22.54), who needed help with one of the 10 instrumental daily activities (vs ?2 activities; OR 3.06, 95\% CI 1.11-8.40) and who did not engage in in-person social activities (OR 1.81, 95\% CI 1.07-3.07), were more likely to be in the ``low-level'' group. Women were less likely to be in the ``high-level'' digital literacy group than men (OR 0.45, 95\% CI 0.25-0.80). Participants with less than a college education were also less likely to be in the ``high-level'' group, with those having less than a middle school education showing the lowest OR (OR 0.17, 95\% CI 0.07-0.41). Those who had never worked (OR 0.23, 95\% CI 0.06-0.90) and those not engaging in regular physical exercise (OR 0.58, 95\% CI 0.40-0.84) were also less likely to be in the ``high-level'' digital literacy group. Participants with greater social support were more likely to be in the ``high-level'' digital literacy group (OR 1.70, 95\% CI 1.22-2.37). Conclusions: These findings underscore the characteristics linked to lower digital literacy and suggest a tailored approach to meet the needs of diverse groups of older adults in a digitalizing society. To promote digital literacy among older adults, potential strategies include improving access to and guidance for using digital devices, specifically designed for this demographic, as well as promoting social support and encouraging participation in social activities. ", doi="10.2196/57122", url="https://www.jmir.org/2025/1/e57122", url="http://www.ncbi.nlm.nih.gov/pubmed/39969960" } @Article{info:doi/10.2196/56038, author="Li, Xiancheng and Vaghi, Emanuela and Pasi, Gabriella and Coulson, S. Neil and De Simoni, Anna and Viviani, Marco and ", title="Understanding the Engagement and Interaction of Superusers and Regular Users in UK Respiratory Online Health Communities: Deep Learning--Based Sentiment Analysis", journal="J Med Internet Res", year="2025", month="Feb", day="13", volume="27", pages="e56038", keywords="social media", keywords="online health communities", keywords="social network analysis", keywords="sentiment analysis", keywords="bio-bidirectional encoder representations from transformers", keywords="asthma", keywords="chronic obstructive pulmonary disease", abstract="Background: Online health communities (OHCs) enable people with long-term conditions (LTCs) to exchange peer self-management experiential information, advice, and support. Engagement of ``superusers,'' that is, highly active users, plays a key role in holding together the community and ensuring an effective exchange of support and information. Further studies are needed to explore regular users' interactions with superusers, their sentiments during interactions, and their ultimate impact on the self-management of LTCs. Objective: This study aims to gain a better understanding of sentiment distribution and the dynamic of sentiment of posts from 2 respiratory OHCs, focusing on regular users' interaction with superusers. Methods: We conducted sentiment analysis on anonymized data from 2 UK respiratory OHCs hosted by Asthma UK (AUK), and the British Lung Foundation (BLF) charities between 2006-2016 and 2012-2016, respectively, using the Bio-Bidirectional Encoder Representation from Transformers (BioBERT), a pretrained language representation model. Given the scarcity of health-related labeled datasets, BioBERT was fine-tuned on the COVID-19 Twitter Dataset. Positive, neutral, and negative sentiments were categorized as 1, 0, and --1, respectively. The average sentiment of aggregated posts by regular users and superusers was then calculated. Superusers were identified based on a definition already used in our previous work (ie, ``the 1\% users with the largest number of posts over the observation period'') and VoteRank, (ie, users with the best spreading ability). Sentiment analyses of posts by superusers defined with both approaches were conducted for correlation. Results: The fine-tuned BioBERT model achieved an accuracy of 0.96. The sentiment of posts was predominantly positive (60\% and 65\% of overall posts in AUK and BLF, respectively), remaining stable over the years. Furthermore, there was a tendency for sentiment to become more positive over time. Overall, superusers tended to write shorter posts characterized by positive sentiment (63\% and 67\% of all posts in AUK and BLF, respectively). Superusers defined by posting activity or VoteRank largely overlapped (61\% in AUK and 79\% in BLF), showing that users who posted the most were also spreaders. Threads initiated by superusers typically encouraged regular users to reply with positive sentiments. Superusers tended to write positive replies in threads started by regular users whatever the type of sentiment of the starting post (ie, positive, neutral, or negative), compared to the replies by other regular users (62\%, 51\%, 61\% versus 55\%, 45\%, 50\% in AUK; 71\%, 62\%, 64\% versus 65\%, 56\%, 57\% in BLF, respectively; P<.001, except for neutral sentiment in AUK, where P=.36). Conclusions: Network and sentiment analyses provide insight into the key sustaining role of superusers in respiratory OHCs, showing they tend to write and trigger regular users' posts characterized by positive sentiment. ", doi="10.2196/56038", url="https://www.jmir.org/2025/1/e56038" } @Article{info:doi/10.2196/64290, author="Mendel, Tamir and Singh, Nina and Mann, M. Devin and Wiesenfeld, Batia and Nov, Oded", title="Laypeople's Use of and Attitudes Toward Large Language Models and Search Engines for Health Queries: Survey Study", journal="J Med Internet Res", year="2025", month="Feb", day="13", volume="27", pages="e64290", keywords="large language model", keywords="artificial intelligence", keywords="LLMs", keywords="search engine", keywords="Google", keywords="internet", keywords="online health information", keywords="United States", keywords="survey", keywords="mobile phone", abstract="Background: Laypeople have easy access to health information through large language models (LLMs), such as ChatGPT, and search engines, such as Google. Search engines transformed health information access, and LLMs offer a new avenue for answering laypeople's questions. Objective: We aimed to compare the frequency of use and attitudes toward LLMs and search engines as well as their comparative relevance, usefulness, ease of use, and trustworthiness in responding to health queries. Methods: We conducted a screening survey to compare the demographics of LLM users and nonusers seeking health information, analyzing results with logistic regression. LLM users from the screening survey were invited to a follow-up survey to report the types of health information they sought. We compared the frequency of use of LLMs and search engines using ANOVA and Tukey post hoc tests. Lastly, paired-sample Wilcoxon tests compared LLMs and search engines on perceived usefulness, ease of use, trustworthiness, feelings, bias, and anthropomorphism. Results: In total, 2002 US participants recruited on Prolific participated in the screening survey about the use of LLMs and search engines. Of them, 52\% (n=1045) of the participants were female, with a mean age of 39 (SD 13) years. Participants were 9.7\% (n=194) Asian, 12.1\% (n=242) Black, 73.3\% (n=1467) White, 1.1\% (n=22) Hispanic, and 3.8\% (n=77) were of other races and ethnicities. Further, 1913 (95.6\%) used search engines to look up health queries versus 642 (32.6\%) for LLMs. Men had higher odds (odds ratio [OR] 1.63, 95\% CI 1.34-1.99; P<.001) of using LLMs for health questions than women. Black (OR 1.90, 95\% CI 1.42-2.54; P<.001) and Asian (OR 1.66, 95\% CI 1.19-2.30; P<.01) individuals had higher odds than White individuals. Those with excellent perceived health (OR 1.46, 95\% CI 1.1-1.93; P=.01) were more likely to use LLMs than those with good health. Higher technical proficiency increased the likelihood of LLM use (OR 1.26, 95\% CI 1.14-1.39; P<.001). In a follow-up survey of 281 LLM users for health, most participants used search engines first (n=174, 62\%) to answer health questions, but the second most common first source consulted was LLMs (n=39, 14\%). LLMs were perceived as less useful (P<.01) and less relevant (P=.07), but elicited fewer negative feelings (P<.001), appeared more human (LLM: n=160, vs search: n=32), and were seen as less biased (P<.001). Trust (P=.56) and ease of use (P=.27) showed no differences. Conclusions: Search engines are the primary source of health information; yet, positive perceptions of LLMs suggest growing use. Future work could explore whether LLM trust and usefulness are enhanced by supplementing answers with external references and limiting persuasive language to curb overreliance. Collaboration with health organizations can help improve the quality of LLMs' health output. ", doi="10.2196/64290", url="https://www.jmir.org/2025/1/e64290", url="http://www.ncbi.nlm.nih.gov/pubmed/39946180" } @Article{info:doi/10.2196/59841, author="Clifford, Namuun and Tunis, Rachel and Ariyo, Adetimilehin and Yu, Haoxiang and Rhee, Hyekyun and Radhakrishnan, Kavita", title="Trends and Gaps in Digital Precision Hypertension Management: Scoping Review", journal="J Med Internet Res", year="2025", month="Feb", day="10", volume="27", pages="e59841", keywords="precision health", keywords="hypertension", keywords="digital health", keywords="prediction models", keywords="personalization", keywords="phenotyping", keywords="machine learning", keywords="algorithms", keywords="mobile apps", keywords="mobile health", abstract="Background: Hypertension (HTN) is the leading cause of cardiovascular disease morbidity and mortality worldwide. Despite effective treatments, most people with HTN do not have their blood pressure under control. Precision health strategies emphasizing predictive, preventive, and personalized care through digital tools offer notable opportunities to optimize the management of HTN. Objective: This scoping review aimed to fill a research gap in understanding the current state of precision health research using digital tools for the management of HTN in adults. Methods: This study used a scoping review framework to systematically search for articles in 5 databases published between 2013 and 2023. The included articles were thematically analyzed based on their precision health focus: personalized interventions, prediction models, and phenotyping. Data were extracted and summarized for study and sample characteristics, precision health focus, digital health technology, disciplines involved, and characteristics of personalized interventions. Results: After screening 883 articles, 46 were included; most studies had a precision health focus on personalized digital interventions (34/46, 74\%), followed by prediction models (8/46, 17\%) and phenotyping (4/46, 9\%). Most studies (38/46, 82\%) were conducted in or used data from North America or Europe, and 63\% (29/46) of the studies came exclusively from the medical and health sciences, with 33\% (15/46) of studies involving 2 or more disciplines. The most commonly used digital technologies were mobile phones (33/46, 72\%), blood pressure monitors (18/46, 39\%), and machine learning algorithms (11/46, 24\%). In total, 45\% (21/46) of the studies either did not report race or ethnicity data (14/46, 30\%) or partially reported this information (7/46, 15\%). For personalized intervention studies, nearly half (14/30, 47\%) used 2 or less types of data for personalization, with only 7\% (2/30) of the studies using social determinants of health data and no studies using physical environment or digital literacy data. Personalization characteristics of studies varied, with 43\% (13/30) of studies using fully automated personalization approaches, 33\% (10/30) using human-driven personalization, and 23\% (7/30) using a hybrid approach. Conclusions: This scoping review provides a comprehensive mapping of the literature on the current trends and gaps in digital precision health research for the management of HTN in adults. Personalized digital interventions were the primary focus of most studies; however, the review highlighted the need for more precise definitions of personalization and the integration of more diverse data sources to improve the tailoring of interventions and promotion of health equity. In addition, there were significant gaps in the reporting of race and ethnicity data of participants, underuse of wearable devices for passive data collection, and the need for greater interdisciplinary collaboration to advance precision health research in digital HTN management. Trial Registration: OSF Registries osf.io/yuzf8; https://osf.io/yuzf8 ", doi="10.2196/59841", url="https://www.jmir.org/2025/1/e59841" } @Article{info:doi/10.2196/67289, author="Elkourdi, Farah and Asan, Onur", title="Community Caregivers' Perspectives on Health IT Use for Children With Medical Complexity: Qualitative Interview Study", journal="JMIR Pediatr Parent", year="2025", month="Feb", day="10", volume="8", pages="e67289", keywords="pediatric care", keywords="children with medical complexity", keywords="family-centered care", keywords="health information technology", keywords="health care software solutions", keywords="mobile phone", keywords="artificial intelligence", abstract="Background: Children with medical complexity represent a unique pediatric population requiring extensive health care needs and care coordination. Children with medical complexities have multiple significant chronic health problems that affect multiple organ systems and result in functional limitations and high health care needs or use. Often, there is a need for medical technology and total care for activities of daily living, much of which is provided at home by family and caregivers. Health IT (HIT) is a broad term that includes various technologies, such as patient portals, telemedicine, and mobile health apps. These tools can improve the care of children with medical complexity by enhancing communication, information exchange, medical safety, care coordination, and shared decision-making. In this study, we identified children with medical complexity as children aged <21 years who have >3 chronic health conditions. Community caregivers contribute to the care management of children with medical complexity, serving as advocates and coordinators, primary sources of information about children's needs, and facilitators of access to care. They are often the first point of contact for the families of children with medical complexity, particularly in vulnerable communities, including families in rural areas, low-income households, and non--English-speaking immigrant populations. Objective: This study aims to introduce the HIT needs and preferences for children with medical complexity from the perspective of community caregivers. By including their perspective on HIT development, we can better appreciate the challenges they face, the insights they offer, and the ways in which they bridge gaps in care, support, and resources. Methods: We conducted semistructured interviews (n=12) with formal community caregivers of children with medical complexity populations from a parent advocacy network on the US East Coast. Interviews were audio recorded via Zoom and then transcribed. An inductive thematic analysis was conducted to reveal HIT challenges and preferences for improving the care of children with medical complexity. Results: We categorized the interview results into themes and subthemes. There are four main themes: (1) telehealth transforming care for children with medical complexity during the COVID-19 pandemic, (2) suggested tools and technologies for care for children with medical complexity, (3) HIT feature preferences, and (4) transition to adult care. Each theme had multiple subthemes capturing all details related to design features of needed technologies. Conclusions: The study emphasizes the need to develop and enhance HIT for the care of children with medical complexity. The identified themes can serve as design guidelines for designers by establishing a foundation for user-centered HIT tools to effectively support children with medical complexity and their families. Telehealth and mobile health apps could improve care management and quality of life for children with medical complexity. ", doi="10.2196/67289", url="https://pediatrics.jmir.org/2025/1/e67289" } @Article{info:doi/10.2196/59023, author="Yang, Lu and Lynch, Chris and Lee, Tayu John and Oldenburg, Brian and Haregu, Tilahun", title="Understanding the Association Between Home Broadband Connection and Well-Being Among Middle-Aged and Older Adults in China: Nationally Representative Panel Data Study", journal="J Med Internet Res", year="2025", month="Feb", day="10", volume="27", pages="e59023", keywords="digital divide", keywords="health inequity", keywords="China", keywords="longitudinal study", keywords="broadband", keywords="internet connection", keywords="internet", keywords="well-being", keywords="psychosocial", keywords="middle age", keywords="older adult", keywords="inequality", keywords="digital connectivity", keywords="logistic regression", keywords="questionnaire", keywords="survey", keywords="panel data approach", abstract="Background: Access to digital technology is among the major social determinants of health, and digital divide impacts health inequality. Yet, the impact of digital connectivity on the well-being and psychosocial outcomes in adults has not been fully studied. Objective: The aim of this study was to investigate the association of home broadband connection with health and well-being of middle-aged adults and adults older than 45 years in China. Methods: A panel data study design of the national sample of China Health and Retirement Longitudinal Study (CHARLS) was conducted in 2015, 2018, and 2020. This study included 16,185 participants older than 45 years. The associations between digital connectivity (home broadband connection), loneliness, social participation, and life satisfaction were assessed using mixed effects logistic regression models, adjusting for socioeconomic factors, behavioral factors, and locality. Broadband internet connectivity, feelings of loneliness, social participation, and satisfaction with life were measured using the self-reported CHARLS questionnaire. Results: We observed a substantial increase in digital connectivity from 29.5\% in 2015 to 59.8\% in 2020. Broadband internet connection at home was positively correlated with social participation (adjusted odds ratio [AOR] 1.34, 95\% CI 1.28-1.41) and life satisfaction (AOR 1.30, 95\% CI 1.20-1.40), after adjusting for confounding factors, while the absence of broadband internet connection was associated with increased loneliness (AOR 0.81, 95\% CI 0.77-0.86). These associations were consistent across age, gender, socioeconomic groups, and geographic areas. Conclusions: This study highlights the potential additional health benefits of digital connectivity beyond the known advantages. Our results suggest the importance of expanding broadband access to enhance social inclusion and life satisfaction. Further research is needed to understand the broader implications and digital determinants of health associated with digital connectivity. ", doi="10.2196/59023", url="https://www.jmir.org/2025/1/e59023" } @Article{info:doi/10.2196/63799, author="Liu, Yujie and Ge, Xin and Wang, Ying and Yang, Xue and Liu, Shangbin and Xu, Chen and Xiang, Mi and Hu, Fan and Cai, Yong", title="Urban-Rural Differences in the Association Between Internet Use Trajectories and Depressive Symptoms in Chinese Adolescents: Longitudinal Observational Study", journal="J Med Internet Res", year="2025", month="Feb", day="7", volume="27", pages="e63799", keywords="internet use", keywords="trajectory", keywords="depressive symptoms", keywords="adolescent", keywords="urban", keywords="rural", abstract="Background: Internet use exhibits diverse trajectories during adolescence, which may contribute to depressive symptoms. Currently, it remains unclear whether the association between internet use trajectories and depressive symptoms varies between urban and rural areas. Objective: This study aimed to investigate the association between internet use trajectories and adolescent depressive symptoms and to explore variation in this association between urban and rural areas. Methods: This longitudinal study used 3-wave data from the 2014-2018 China Family Panel Study. Weekly hours of internet use and depressive symptoms were measured using self-reported questionnaires. Latent class growth modeling was performed to identify the trajectories of internet use. Multivariable logistic regressions were used to examine the association between internet use trajectories and depressive symptoms, stratified by rural and urban residence. Results: Participants were 2237 adolescents aged 10 to 15 years at baseline (mean age 12.46, SD 1.73 years). Two latent trajectory classes of internet use were identified: the low-growth group (n=2008, 89.8\%) and the high-growth group (n=229, 10.2\%). The high-growth group was associated with higher odds of depressive symptoms (OR 1.486, 95\% CI 1.065-2.076) compared to the low-growth group. In the stratified analysis, the association between internet use trajectories and depressive symptoms was significant solely among rural adolescents (OR 1.856, 95\% CI 1.164-2.959). Conclusions: This study elucidates urban-rural differences in the associations between trajectories of internet use and adolescent depressive symptoms. Our findings underscore the importance of prioritizing interventions for rural adolescents' internet use behaviors to mitigate negative effects on their mental health. ", doi="10.2196/63799", url="https://www.jmir.org/2025/1/e63799" } @Article{info:doi/10.2196/59817, author="Kraft, A. Stephanie and Chopra, Shaan and Duran, C. Miriana and Rojina, A. Janet and Beretta, Abril and L{\'o}pez, I. Katherine and Javan, Russell and Wilfond, S. Benjamin and Rosenfeld, Margaret and Fogarty, James and Ko, K. Linda", title="Perspectives of Hispanic and Latinx Community Members on AI-Enabled mHealth Tools: Qualitative Focus Group Study", journal="J Med Internet Res", year="2025", month="Feb", day="6", volume="27", pages="e59817", keywords="wearable electronic devices", keywords="qualitative research", keywords="mobile health", keywords="mHealth", keywords="digital health", keywords="privacy", keywords="data sharing", keywords="artificial intelligence", keywords="AI", keywords="community", keywords="chronic conditions", keywords="chronic disease", abstract="Background: Mobile health (mHealth) tools have the potential to reduce the burden of chronic conditions that disproportionately affect Hispanic and Latinx communities; however, digital divides in the access to and use of health technology suggest that mHealth has the potential to exacerbate, rather than reduce, these disparities. Objective: A key step toward developing health technology that is accessible and usable is to understand community member perspectives and needs so that technology is culturally relevant and appropriately contextualized. In this study, we aimed to examine the perspectives of Hispanic and Latinx community members in Washington State about mHealth. Methods: We recruited English- and Spanish-speaking Hispanic or Latinx adults to participate in web-based focus groups through existing community-based networks across rural and urban regions of Washington State. Focus groups included a presentation of narrative slideshow materials developed by the research team depicting mHealth use case examples of asthma in children and fall risk in older adults. Focus group questions asked participants to respond to the case examples and to further explore mHealth use preferences, benefits, barriers, and concerns. Focus group recordings were professionally transcribed, and Spanish transcripts were translated into English. We developed a qualitative codebook using deductive and inductive methods and then coded deidentified transcripts using the constant comparison method. The analysis team proposed themes based on review of coded data, which were validated through member checking with a community advisory board serving Latino individuals in the region and finalized through discussion with the entire research team. Results: Between May and September 2023, we conducted 8 focus groups in English or Spanish with 48 participants. Focus groups were stratified by language and region and included the following: 3 (n=18, 38\% participants) Spanish urban groups, 2 (n=14, 29\% participants) Spanish rural groups, 1 (n=6, 13\% participants) English urban group, and 2 (n=10, 21\% participants) English rural groups. We identified the following seven themes: (1) mHealth is seen as beneficial for promoting health and peace of mind; (2) some are unaware of, unfamiliar with, or uncomfortable with technology and may benefit from individualized support; (3) financial barriers limit access to mHealth; (4) practical considerations create barriers to using mHealth in daily life; (5) mHealth raises concern for overreliance on technology; (6) automated mHealth features are perceived as valuable but fallible, requiring human input to ensure accuracy; and (7) data sharing is seen as valuable for limited uses but raises privacy concerns. These themes illustrate key barriers to the benefits of mHealth that communities may face, provide insights into the role of mHealth within families, and examine the appropriate balance of data sharing and privacy protections. Conclusions: These findings offer important insights that can help advance the development of mHealth that responds to community values and priorities. ", doi="10.2196/59817", url="https://www.jmir.org/2025/1/e59817" } @Article{info:doi/10.2196/63403, author="Ezeigwe, Juliet Ogochukwu and Nwosu, Samuel Kenechukwu Obumneme and Afolayan, Kunle Oladipo and Ojaruega, Amanda Akpevwe and Echere, Jovita and Desai, Manali and Onigbogi, Olajumoke Modupe and Oladoyin, Ope Olajumoke and Okoye, Chioma Nnenna and Fwelo, Pierre", title="Technological-Based Interventions in Cancer and Factors Associated With the Use of Mobile Digital Wellness and Health Apps Among Cancer Information Seekers: Cross-Sectional Study", journal="J Med Internet Res", year="2025", month="Feb", day="5", volume="27", pages="e63403", keywords="cancer intervention", keywords="digital health and wellness apps", keywords="cancer management", keywords="telehealth", keywords="mobile health", keywords="mhealth", keywords="decision-making", keywords="United States", keywords="cross-sectional study", keywords="adult", keywords="logistic regression", keywords="regression analysis", keywords="digital health", keywords="young adult", keywords="cancer screening", keywords="knowledge seeking", keywords="barrier", keywords="utilization", keywords="engagement", keywords="digital health engagement", keywords="diversity", keywords="cancer information", keywords="health seeking behavior", keywords="mobile phone", abstract="Background: Mobile digital wellness and health apps play a significant role in optimizing health and aiding in cancer management and decision-making. Objective: This study aims to identify the factors influencing the use of mobile health and wellness apps among cancer information seekers in the United States. Methods: We conducted a cross-sectional study using data from the Health Information National Trends Survey. Our analysis focused on 4770 participants who sought cancer information. We performed weighted univariate and multivariable logistic regression to determine the association between the use of health and wellness apps and socioeconomic factors, medical history and conditions, and lifestyle and behavioral factors. Results: A total of 4770 participants who sought cancer information were included in the final analysis. Of these, 80.9\% (n=2705) were health and wellness app users, while 19.1\% (n=793) were nonusers. In the final adjusted model, participants with household incomes ?US \$50,000 had 49\% higher adjusted odds of using these apps than those with incomes