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Demographics and Health Characteristics Associated With the Likelihood of Participating in Digitally Delivered Exercise Rehabilitation for Improving Heart Health Among Breast Cancer Survivors: Cross-Sectional Survey Study

Demographics and Health Characteristics Associated With the Likelihood of Participating in Digitally Delivered Exercise Rehabilitation for Improving Heart Health Among Breast Cancer Survivors: Cross-Sectional Survey Study

Therefore, the aim of the current study was to explore individual demographic and health characteristics associated with the likelihood of uptake of a digitally delivered exercise rehabilitation intervention among breast cancer survivors, and to explore whether uptake differs according to intervention timing, that is, whether it is offered (1) generally, (2) before, (3) during, and (4) after treatment.

Tamara Jones, Lara Edbrooke, Jonathan C Rawstorn, Linda Denehy, Sandra Hayes, Ralph Maddison, Aaron L Sverdlov, Bogda Koczwara, Nicole Kiss, Camille E Short

JMIR Cancer 2024;10:e51536

Ever Use of Telehealth in Nebraska by March 2021: Cross-Sectional Analysis

Ever Use of Telehealth in Nebraska by March 2021: Cross-Sectional Analysis

Older adults, individuals without chronic health conditions, and people of Hispanic ethnicity were significantly less likely to have ever used telehealth compared to other demographic groups. These disparities highlight the need for targeted support to ensure equitable access and utilization of telehealth services, potentially informing strategies to address barriers related to internet access and demographic factors.

Lisa C Smith, George Johnson, Snehal Jadhav, Josiane Kabayundo, Muskan Ahuja, Hongmei Wang, Kendra L Ratnapradipa

J Med Internet Res 2024;26:e53320

Trends in Exercise-Related Internet Search Keywords by Sex, Age, and Lifestyle: Infodemiological Study

Trends in Exercise-Related Internet Search Keywords by Sex, Age, and Lifestyle: Infodemiological Study

The scores are normalized to account for differences in population size and age distribution across prefectures, ensuring that demographic variations do not bias the results. Hierarchical cluster analysis (Ward method) was performed using the characteristic score of the 10 terms for each prefecture as variables. A dendrogram was created from this analysis, and 4 clusters were selected.

Kosuke Uemura, Taiju Miyagami, Mizue Saita, Takuro Uchida, Shun Yuasa, Keita Kondo, Shun Miura, Mizuki Matsushita, Yuka Shirai, Richard Baku Misawa, Toshio Naito

JMIR Form Res 2024;8:e59395

Artificial Intelligence as a Potential Catalyst to a More Equitable Cancer Care

Artificial Intelligence as a Potential Catalyst to a More Equitable Cancer Care

AI algorithms analyze vast amounts of health care data to identify potential clinical trial participants, considering various factors like genetic profiles, health conditions, and demographic characteristics. This process helps in creating more diverse and representative participant groups for clinical trials, which is essential for the generalizability and effectiveness of medical research [24,25].

Sebastian Garcia-Saiso, Myrna Marti, Karina Pesce, Silvana Luciani, Oscar Mujica, Anselm Hennis, Marcelo D'Agostino

JMIR Cancer 2024;10:e57276

Telehealth Uptake Among Hispanic People During COVID-19: Retrospective Observational Study

Telehealth Uptake Among Hispanic People During COVID-19: Retrospective Observational Study

This study aims to examine the socioeconomic, demographic, and behavioral factors that influence telehealth use among people who identify as Hispanic. The study period was from March 2020 to April 2021. The COVID-19 Research Database Consortium provided access to the Office Ally and Analytics IQ People Core consumer databases. The Office Ally database provided access to US claims data from 100 million unique patients and 3.4 billion medical claims.

Di Shang, Cynthia Williams, Hera Culiqi

JMIR Med Inform 2024;12:e57717

The Association of Broadband Internet Use With Drug Overdose Mortality Rates in the United States: Cross-Sectional Analysis

The Association of Broadband Internet Use With Drug Overdose Mortality Rates in the United States: Cross-Sectional Analysis

In addition, county-level socioeconomic and demographic characteristics were gathered from the US Census Bureau and US Bureau of Labor Statistics. All drug overdose deaths were measured per 10,000 persons per year by county. Following the CDC and NVSS guidelines, we used the Tenth Revision of the International Classification of Diseases Clinical Modification codes X40-X44 (unintentional), X60-X64 (intentional), X85 (homicide), and Y10-Y14 (undetermined) to identify all drug overdose deaths.

Ioannis Karakis, Genti Kostandini, Konstantinos Tsamakis, Velma Zahirovic-Herbert

Online J Public Health Inform 2024;16:e52686

Assessing SARS-CoV-2 Testing Adherence in a University Town: Recurrent Event Modeling Analysis

Assessing SARS-CoV-2 Testing Adherence in a University Town: Recurrent Event Modeling Analysis

Trust and compliance are driven by complex factors, including individuals’ beliefs [1], risk perception [2,3], trust in government [4], and demographic factors [5-7] that may vary throughout a pandemic, making containment particularly challenging. Widespread testing and timely diagnosis are critical for pandemic control and preparedness.

Yury E García, Alec J Schmidt, Leslie Solis, María L Daza-Torres, J Cricelio Montesinos-López, Brad H Pollock, Miriam Nuño

JMIR Public Health Surveill 2024;10:e48784