Review
Abstract
Background: Digital care has become an essential component of health care. Interventions for patients with cancer need to be effective and safe, and digital health interventions must adhere to the same requirements.
Objective: The purpose of this study was to identify currently available digital health interventions developed and evaluated in randomized controlled trials (RCTs) targeting adult patients with cancer.
Methods: A scoping review using the JBI methodology was conducted. The participants were adult patients with cancer, and the concept was digital health interventions. The context was open, and sources were limited to RCT effectiveness studies. The PubMed, CINAHL, Embase, Cochrane Library, Research Information Sharing Service, and KoreaMed databases were searched. Data were extracted and analyzed to achieve summarized results about the participants, types, functions, and outcomes of digital health interventions.
Results: A total of 231 studies were reviewed. Digital health interventions were used mostly at home (187/231, 81%), and the web-based intervention was the most frequently used intervention modality (116/231, 50.2%). Interventions consisting of multiple functional components were most frequently identified (69/231, 29.9%), followed by those with the self-manage function (67/231, 29%). Web-based interventions targeting symptoms with the self-manage and multiple functions and web-based interventions to treat cognitive function and fear of cancer recurrence consistently achieved positive outcomes. More studies supported the positive effects of web-based interventions to inform decision-making and knowledge. The effectiveness of digital health interventions targeting anxiety, depression, distress, fatigue, health-related quality of life or quality of life, pain, physical activity, and sleep was subject to their type and function. A relatively small number of digital health interventions specifically targeted older adults (6/231, 2.6%) or patients with advanced or metastatic cancer (22/231, 9.5%).
Conclusions: This scoping review summarized digital health interventions developed and evaluated in RCTs involving adult patients with cancer. Systematic reviews of the identified digital interventions are strongly recommended to integrate digital health interventions into clinical practice. The identified gaps in digital health interventions for cancer care need to be reflected in future digital health research.
doi:10.2196/38333
Keywords
Introduction
Background
Digital health care has become a necessity in delivering care. Digital health is defined as health services and information to manage illness and health risks delivered or enhanced through the internet and related technologies, that is, information and communication technology [,]. The term digital health is rooted in eHealth [], which encompasses mobile health, telemedicine, telemonitoring, digital therapeutics, digital health analytics, and digital health systems [,]. Wearables, mobile apps, and web pages are examples of digital technologies that are applied to enhance health care.
Digital health receives increased attention because it is expected to improve access to health care, reduce inefficiencies in the health care system, improve quality of care, and lower health care costs []. The World Health Organization has recognized the value of digital technologies in advancing universal health coverage and provides recommendations for their use []. The COVID-19–related restrictions, which limit person-to-person contact, have accelerated the development and implementation of digital health in practice, potentially making it possible to continue providing the best possible care. Promising outcomes have been suggested from digital health intervention trials; for example, Basch et al [] incorporated electronic patient-reported outcome monitoring of 12 symptoms during routine cancer treatment and demonstrated less decline in health-related quality of life (HRQoL), less frequent readmission, longer continuation of chemotherapy treatment, and longer quality-adjusted survival.
However, current systematic and scoping reviews on digital health interventions for patients with cancer provide information that is too fragmentary to enable a comprehensive understanding of available digital health interventions for cancer care. Reviews were often focused on specific cancer populations. The most frequently studied were adolescents and young adults, considering their familiarity with digital solutions [-]. Mixed outcomes were identified for symptom management [], physical symptoms and functioning, emotional distress, health behaviors, neurocognitive functioning, health knowledge, and self-efficacy of adolescents and young adults []. Digital self-management was not effective in improving HRQoL or moderate-to-vigorous physical activity []. Some studies have reviewed the application of digital health for specific types of cancers, that is, breast cancer [], prostate cancer [], melanoma [], and hematologic malignancy []. Although digital health is applicable across the cancer continuum, reviews were limited to the postoperative phase [], survivorship [,], and palliative care [,,]. There exists a single digital health review that spans across pediatric patients’ cancer continuum (from treatment to survivorship) [].
A limited number of reviews exist about the effectiveness of particular digital health intervention modalities targeting specific outcomes: mobile health is ineffective for oral anticancer drug adherence [], telemedicine demonstrates similar or improved care in patients with hematologic malignancies [], and activity trackers improve activity level and HRQoL []. In terms of the outcomes of digital health interventions, improvements in physical activity or exercise [] and patient-provider communication []; benefits in symptom assessment and management, functional capacity, and HRQoL [,]; decreases in emergency room visits, unplanned hospitalization, and hospital days; and increased survival [] have been supported. The use of digital health to support survivorship care planning resulted in positive physical and psychosocial effects, whereas there were mixed effects for fear and anxiety []. Inconsistent outcomes have been achieved for diet among cancer survivors [] and for psychological outcomes of patients with cancer in the treatment or survivorship phase [] and those receiving palliative care [].
Digital health care for patients with cancer needs to be effective and safe []. A comprehensive overview of available digital health interventions for patients with cancer will help us to understand the current status of digital health in cancer care and identify gaps and areas for further development while readying for the inevitable surge in digital technologies.
Objectives
The purpose of this scoping review was to identify currently available digital health interventions developed and evaluated in randomized controlled trials (RCTs) among adult patients with cancer. The primary research question was as follows: What digital health interventions were developed and evaluated for adult patients with cancer?
The subquestions were as follows:
- What were the characteristics of targets for digital health interventions (age, sex, type and stage of cancer, and trajectory)?
- What were the types and functions of digital health interventions?
- How were the digital health interventions applied (frequency, duration, and time spent for intervention)?
- What nursing problems were sought for intervention with digital health interventions?
- What were the outcomes of digital health interventions?
Methods
Design
A scoping review was conducted in accordance with the JBI methodology []. The population, concept, and context framework for this scoping review was as follows: (1) population: adult patients with cancer or cancer survivors, (2) concept: digital health interventions, and (3) context: open (no limitation).
Search Strategy
The search strategy aimed to identify published RCTs that reported the efficacy of digital health interventions among adult patients with cancer. An initial limited search of PubMed was undertaken to identify articles on the topic. The words contained in the titles and abstracts of relevant articles and the index terms used to describe the articles were used to develop a full search strategy for PubMed, CINAHL, Embase, Cochrane Library, Research Information Sharing Service, and KoreaMed. Key search terms included all identified keywords, and index terms were adapted for each included database and information source (). The reference lists of related sources of evidence were screened for additional studies.
Study and Source of Evidence Selection
Studies published from 1999, considering the time when the definition of eHealth was first introduced [], to July 26, 2021, and published in English and Korean were included. As this scoping review aimed to include outcomes from RCTs, the type of source was set as a published RCT reporting the effect of a digital health intervention; thus, unpublished studies or gray literature were excluded.
After the search, all identified citations were collated into EndNote (version 20.0; Clarivate), and duplicates were removed. The team of reviewers paired into 3 groups (SK and KL, JL and JHS, and SHK and S-HY) for screening and data extraction, considering that >5000 articles were retrieved through the database search.
To identify outcomes from digital health interventions applied to patients with cancer, studies that evaluated the effect of digital health interventions in the form of RCTs were included in the review. Trial runs of article selection and relevant discussions facilitated modification of the initial set of eligibility criteria. The final eligibility criteria were as follows: (1) participants needed to be adult patients with cancer (aged ≥18 years), but studies involving adolescents and young adults that included adult patients were also included in this review; and (2) interventions needed to demonstrate their effects in patients with cancer; thus, studies investigating interventions for patients with chronic disease in which patients with cancer also took part or interventions to promote cancer screening among healthy individuals were excluded.
Classic telephone service or replication of clinical service by substituting it using the telephone was not considered a digital intervention according to the criteria outlined by Marthick et al [], who define the functions of digital health technologies as monitoring, tracking, and providing information on health as well as enabling communication. However, studies of automated systems (interactive voice response) were included if data were obtained from patients and patient-tailored feedback from professionals (tailored automated voice response) was delivered. Interventions in the form of simple videos contained in CD-ROMs or tablet devices were excluded. If the study assessed outcomes by applying digital assessment tools but the intervention itself was not considered digital, it was excluded.
Only RCTs that reported outcomes of the digital intervention were eligible to be included. In the case of pilot RCTs, if the study reported the effect of digital interventions, it was included for review. Cost-effectiveness was considered an effect of the intervention, whereas satisfaction was not.
A pilot selection using 25 randomly selected studies demonstrated 80% agreement among all 6 reviewers in selecting the source of evidence based on titles and abstracts. Among the initially selected 5164 articles, potentially relevant sources were retrieved, and the full text of selected citations was assessed in detail against the eligibility criteria by 2 independent reviewers. Reasons for exclusion of sources of evidence after full-text review were recorded. Any disagreements that arose between the reviewers at each stage of the selection process were resolved through discussion with a third reviewer.
Data Extraction
Data were extracted by 3 groups of 2 independent reviewers (a total of 6 reviewers) using a data extraction tool developed by the reviewers. The data extracted included specific details about the selected article (authors, year, title, and country in which the study was conducted), participants (age, sex, type of cancer, and phase of cancer journey), concept (types and functions of the digital health interventions), context (setting for the intervention), study methods (number of participants; details, frequency, and duration of the intervention; time spent administering the intervention; and types and details of controls) and key findings relevant to the review questions (nursing problems and outcomes), and reported adverse events. Any disagreements that arose between the reviewers were resolved through discussion with a third reviewer.
Data Analysis and Presentation
To quantify the study results, parts of the extracted data were coded. A list of cancers was developed incorporating common and prevalent cancers retrieved from the National Cancer Institute [] and the World Health Organization []. Digital interventions were categorized by type according to the initial categorization of digital interventions by Deloitte [] and the categorization by Aapro et al [], which supplemented the list developed by Deloitte []. The types of digital health interventions were categorized as telemonitoring, telemedicine, wearables, web based, mobile apps, health analytics, and digitized health systems. With regard to digital health interventions comprising multiple types—for example, telemonitoring+telemedicine, wearable+web based, and web based+mobile—each combination was considered a category. The National Institute for Health and Care Excellence (NICE) evidence standards framework for digital health technologies was used [] to sort digital interventions into 3 tiers and 10 functional categories: tier A (system services), tier B (inform, health diaries, and communicate), and tier C (preventative behavior change, self-manage, treat, active monitoring, calculate, and diagnose). If a digital health intervention comprised multiple functions, then the function was classified as multiple.
Outcomes of digital health interventions were categorized as having positive, no, negative, mixed, or equivalent effects based on the purpose of the study. If significant outcomes were identified that corresponded with the hypothesis, they were categorized as having positive effects. Insignificant outcomes were categorized as having no effect. Significant opposite outcomes were considered negative outcomes. If the outcome was both positive and negative, it was considered as having a mixed effect. If the study aimed to demonstrate equivalent effectiveness, it was considered as having an equivalent effect. When the outcome was measured with multiple subscales and only partial outcomes were significant, then the study was categorized as having a positive effect. This also applied to longitudinal study outcomes where the same outcome was measured multiple times and a positive outcome identified at some of the time points. When the study had multiple comparisons, the outcomes of each comparison arm were identified.
With regard to summarizing the outcomes of the digital health interventions, if there were multiple digital health intervention studies targeting the same nursing problem, the outcomes were summarized and the effects compared. If the number of studies showing a positive effect outnumbered those with no effect or negative outcomes, the intervention was considered to suggest a positive outcome. If the same number of studies existed with both positive and no effect or negative outcomes, the intervention was considered to have inconsistent outcomes. If there were more studies that demonstrated no effect or negative outcomes, the intervention was considered to suggest no effect or negative outcome. A narrative and quantitative summary was accompanied by the tabulated and charted results.
Results
General Characteristics
Of the 5164 articles screened, 231 (4.47%) [,-] were selected and reviewed. The results of the search and the study inclusion process are presented in a PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) flow diagram [] ().
Although digital health RCTs for patients with cancer continued to be reported, only a handful of studies were reported until 2012. Of the 231 included RCTs, 19 (8.2%) were published in 2013, whereas 50 (21.6%) were published in 2020. The United States was the country with the largest number of studies (119/231, 51.5%), followed by the Netherlands (26/231, 11.3%) and Australia (18/231, 7.8%).
Two-thirds of the studies were full-size RCTs and evaluated the effectiveness of digital health interventions (163/231, 70.6%), whereas the rest were pilot studies (68/231, 29.4%). Most of the studies were designed as 2-arm RCTs comparing the digital health interventions and control groups (206/231, 89.2%), but there were also 3-arm (22/231, 9.5%) and 4-arm (3/231, 1.3%) studies. Approximately half of the control groups received usual care or standard care (109/231, 47.2%). Waitlist control groups received the intervention after data collection was completed (47/231, 20.3%).
Participant Characteristics
The number of participants included in the study (both pilot and full-size RCTs) ranged from 8 to 614 for the intervention group and 9 to 621 for the control group. In terms of age, digital interventions were mostly applied to adult patients with cancer (97/231, 42%) or both adult and geriatric patients with cancer (119/231, 51.5%), whereas studies targeting specifically older adults with cancer were scarce (6/231, 2.6%). More than half of the studies included adult patients with cancer of both sexes (124/231, 53.7%), whereas 38.5% (89/231) of the studies included only female patients with cancer. More than half of the studies were conducted with subjects with a single cancer (129/231, 55.8%), and among them, patients with breast cancer were the most frequently studied (79/129, 61.2%), followed by patients with prostate cancer (19/129, 14.7%) and patients with lung cancer (9/129, 7%). Patients with early-stage cancer were targeted in 38.5% (89/231) of the studies, and 32% (74/231) of the studies included patients with cancer of any stage, whereas 9.5% (22/231) of the studies targeted only patients with advanced or metastatic cancer. Studies about cancer survivors accounted for the highest percentage (97/231, 42%), followed by interventions provided along with cancer treatment (70/231, 30.3%).
Types and Functions of Digital Health Interventions
Among the 231 studies, 196 (84.8%) included only digital interventions, whereas the rest (n=35, 15.2%) included digital interventions combined with nondigital interventions such as interventions provided in person (14/35, 40%), by telephone (10/35, 29%), by telephone+in person (10/35, 29%), and by CD-ROM multimedia program (1/35, 3%). The analysis based on digital health interventions showed that web-based digital health technology was the most frequently used type of digital intervention (116/231, 50.2%), followed by mobile app (31/231, 13.4%), telemedicine (17/231, 7.4%), telemonitoring (11/231, 4.8%), and wearable (9/231, 3.9%). Digital interventions comprising multiple modalities accounted for 20.3% (47/231) of the interventions, in which web based+mobile app was the most frequently used modality (23/47, 49%), followed by wearable+mobile app (9/47, 19%), wearable+web based+mobile app (5/47, 11%), telemonitoring+telemedicine (3/47, 6%), wearable+web based (2/47, 4%), telemedicine+web based (2/47, 4%), telemedicine+mobile app (1/47, 2%), telemedicine+web based+mobile app (1/47, 2%), and telemonitoring+wearable+web based+mobile app (1/47, 2%; ).
Digital health interventions consisting of multiple functional components (69/231, 29.9%) were the most frequently used interventions, followed by interventions for self-manage (67/231, 29%). Among the studies that applied digital interventions with multiple components, communicate+self-manage (18/69, 26%) was the frequently identified combination.
Self-manage was the most prevalent single function of digital health function regardless of patients’ cancer stages (185/231, 80.1%; ). With regard to patients’ cancer journeys, inform was usually applied at the diagnosis phase. Self-manage interventions during the treatment phase accounted for the largest proportion (38/70, 54%) of the provided interventions. Interventions with multiple components mostly targeted the survivorship phase (41/97, 42%), which comes after the treatment phase (11/97, 11%; ).
Frequency, Duration, and Time Spent Administering Interventions
Most of the digital interventions were applied at home (187/231, 81%). There were several studies that did not report the frequency of application of digital interventions (129/231, 55.8%). Among those that reported the frequency of application (102/231, 44.2%), weekly application accounted for 34.3% (35/102) of the interventions, whereas daily application accounted for 8.8% (9/102). The duration of application ranged from 2 weeks to 144 weeks (152/231, 54.1%); the 12-week application was the most frequent (43/156, 27.6%), whereas 8-week and 24-week periods were applied in 14.7% (23/156) each of the interventions. In most (181/231, 78.4%) of the cases, the application time per single intervention was not reported. The average application time among the studies that reported information about application time per single intervention was approximately 60 (mean 63.92, SD 49.71; range 5-240) minutes (50/231, 21.6%).
Targeted Nursing Problems and Outcomes
Data from full-size RCTs were used to summarize targeted nursing problems and outcomes of digital health interventions.
To better understand the outcomes of the digital health interventions, outcomes identified from >2 studies with the same target, type, and function were summarized (). Wearable with multiple-function interventions for physical activity all demonstrated positive outcomes. Web-based interventions to inform patients to intervene in anxiety; preventative behavior change for physical activity; self-manage symptoms; treat for cognitive function, depression, fear of cancer recurrence, and sleep; and those with multiple functional components for symptoms all demonstrated positive outcomes. Web-based interventions combined with mobile multiple-function interventions all demonstrated positive outcomes for pain. Telemonitoring interventions combined with telemedicine and treat demonstrated positive outcomes for patients with depression as well as pain.
| Problems, digital health type, and digital health function | Positive effect | No effect | Negative effect | Mixed effecta | Equivalent effect | |||||||
| Adherence: medication | ||||||||||||
| Mobile | ||||||||||||
| Self-manage | [,] | [,] | N/Ab | N/A | N/A | |||||||
| Anxiety | ||||||||||||
| Web | ||||||||||||
| Inform | [,,] | N/A | N/A | N/A | N/A | |||||||
| Treat | [] | [] | N/A | N/A | [] | |||||||
| Multiplec | []d []d,e | [,,] | N/A | N/A | N/A | |||||||
| Web+mobile | ||||||||||||
| Multiple | [] []e []f | []g [] | N/A | N/A | N/A | |||||||
| BMI | ||||||||||||
| Web | ||||||||||||
| Multiple | []e | []d,e | N/A | N/A | N/A | |||||||
| Breast cancer concerns | ||||||||||||
| Web | ||||||||||||
| Multiple | []d,e,h | []d []d,e,h | N/A | N/A | N/A | |||||||
| Cancer-specific distress | ||||||||||||
| Web | ||||||||||||
| Self-manage | [] | [,] []d,e | N/A | N/A | N/A | |||||||
| Cognitive function | ||||||||||||
| Web | ||||||||||||
| Treat | [,] | N/A | N/A | N/A | N/A | |||||||
| Communication with provider | ||||||||||||
| Web | ||||||||||||
| Self-manage | [] | [] | N/A | N/A | N/A | |||||||
| Competence: health care | ||||||||||||
| Web | ||||||||||||
| Multiple | []d []d,e | []d []d,e,h []d,e | N/A | N/A | N/A | |||||||
| Competence: information | ||||||||||||
| Web | ||||||||||||
| Multiple | []d []d,e,h []d,e | []d []d,e,h []d,e | N/A | N/A | N/A | |||||||
| Coping | ||||||||||||
| Web | ||||||||||||
| Self-manage | [,] | [,] | N/A | N/A | N/A | |||||||
| Multiple | []d []d,e | []d []d,e,h []d,e | N/A | N/A | N/A | |||||||
| Cost | ||||||||||||
| Telemedicine | ||||||||||||
| Treat | [] | [] | N/A | N/A | N/A | |||||||
| Web | ||||||||||||
| Self-manage | N/A | [] | N/A | N/A | [] | |||||||
| Decision-making | ||||||||||||
| Web | ||||||||||||
| Inform | [] []i [,,] | [,,,] | N/A | N/A | N/A | |||||||
| Depression | ||||||||||||
| Web | ||||||||||||
| Self-manage | [,,,] | [,]d,e | N/A | N/A | N/A | |||||||
| Treat | [,] []g | N/A | N/A | N/A | [] | |||||||
| Multiple | []d [] | [,,] []g []d,e [,] []d,e [] | N/A | N/A | N/A | |||||||
| Web+mobile | ||||||||||||
| Multiple | [] | []g [] []e | N/A | N/A | N/A | |||||||
| Telemonitoring+telemedicine | ||||||||||||
| Treat | [,] | N/A | N/A | N/A | N/A | |||||||
| Diet | ||||||||||||
| Web | ||||||||||||
| Multiple | N/A | [,] | N/A | N/A | N/A | |||||||
| Distress | ||||||||||||
| Web | ||||||||||||
| Communicate | N/A | N/A | [,] | N/A | N/A | |||||||
| Self-manage | [] []f [,,] | [,,,] | N/A | N/A | N/A | |||||||
| Treat | []g [,] []g | []d,e [] | N/A | N/A | N/A | |||||||
| Multiple | [,] | []d [] []e [] | N/A | N/A | N/A | |||||||
| Mobile | ||||||||||||
| Multiple | [] | [] | N/A | N/A | N/A | |||||||
| Emotional processing | ||||||||||||
| Web | ||||||||||||
| Multiple | []d []d,e,h | []d []d,e,h | N/A | N/A | N/A | |||||||
| Fatigue | ||||||||||||
| Web | ||||||||||||
| Self-manage | [,,] | []d,e []d | N/A | N/A | N/A | |||||||
| Treat | [,]g [] []g | [,] | N/A | N/A | N/A | |||||||
| Multiple | []d [,] | [] []g []d,e [] []d,e [] | N/A | N/A | N/A | |||||||
| Web+mobile | ||||||||||||
| Multiple | [] | [] | N/A | N/A | N/A | |||||||
| Fear of cancer recurrence or progression | ||||||||||||
| Web | ||||||||||||
| Self-manage | [] | [] | N/A | N/A | N/A | |||||||
| Treat | [,] []g | N/A | N/A | N/A | [] | |||||||
| Follow-up | ||||||||||||
| Telemedicine | ||||||||||||
| Treat | [] | [] | N/A | N/A | N/A | |||||||
| Function | ||||||||||||
| Web | ||||||||||||
| Self-manage | N/A | [,] []d,e | N/A | N/A | N/A | |||||||
| Multiple | [] | [] []d,e | N/A | N/A | N/A | |||||||
| Functional well-being | ||||||||||||
| Web | ||||||||||||
| Self-manage | N/A | [,] | N/A | N/A | N/A | |||||||
| Multiple | []d,e,h []d,e | []d []d,e,h []d,e | N/A | N/A | N/A | |||||||
| HRQoLj/QoLk | ||||||||||||
| Telemonitoring | ||||||||||||
| Self-manage | [,] | [,] | N/A | N/A | N/A | |||||||
| Telemedicine | ||||||||||||
| Multiple | [] | []e | N/A | N/A | N/A | |||||||
| Web | ||||||||||||
| Inform | []h [] | [] | N/A | N/A | N/A | |||||||
| Self-manage | [,] []f [,,] | [,,] []h | N/A | N/A | N/A | |||||||
| Treat | []g [,,] []g | []d,e [] | N/A | N/A | [] | |||||||
| Multiple | []e [,] []g [,] | [] []d,e [] []e [,,] | N/A | N/A | N/A | |||||||
| Mobile | ||||||||||||
| Self-manage | [] | [,] | N/A | N/A | N/A | |||||||
| Treat | [] | [] | N/A | N/A | N/A | |||||||
| Multiple | [] | [] | N/A | N/A | N/A | |||||||
| Web+mobile | ||||||||||||
| Multiple | []g [,] []f [] | [,] | N/A | N/A | N/A | |||||||
| Telemonitoring+telemedicine | ||||||||||||
| Treat | []d [,] | []d | N/A | N/A | N/A | |||||||
| Intrusive thoughts | ||||||||||||
| Web | ||||||||||||
| Self-manage | N/A | [,] | N/A | N/A | N/A | |||||||
| Knowledge | ||||||||||||
| Web | ||||||||||||
| Inform | [,,,,,,] | [,] | N/A | [] | N/A | |||||||
| Multiple | [] | [] | N/A | N/A | N/A | |||||||
| Mood | ||||||||||||
| Web | ||||||||||||
| Self-manage | [] | [] | N/A | N/A | N/A | |||||||
| Pain | ||||||||||||
| Web | ||||||||||||
| Self-manage | N/A | [,] | N/A | N/A | N/A | |||||||
| Multiple | N/A | [] []g | N/A | N/A | N/A | |||||||
| Web+mobile | ||||||||||||
| Multiple | [,] | N/A | N/A | N/A | N/A | |||||||
| Telemonitoring+telemedicine | ||||||||||||
| Treat | []d [] | N/A | N/A | N/A | N/A | |||||||
| Physical activity | ||||||||||||
| Wearable | ||||||||||||
| Multiple | []e []g | N/A | N/A | N/A | N/A | |||||||
| Web | ||||||||||||
| Preventative behavior change | [,] | N/A | N/A | N/A | N/A | |||||||
| Self-manage | N/A | [] []d,e | N/A | N/A | N/A | |||||||
| Multiple | []e [,] | []d [] []d,e | N/A | N/A | N/A | |||||||
| Web+mobile | ||||||||||||
| Multiple | N/A | [,] | N/A | N/A | N/A | |||||||
| Personal control | ||||||||||||
| Web | ||||||||||||
| Self-manage | N/A | [,] | N/A | N/A | N/A | |||||||
| Recall of cancer-related information | ||||||||||||
| Web | ||||||||||||
| Inform | []d | [,]d | N/A | N/A | N/A | |||||||
| Self-efficacy | ||||||||||||
| Web | ||||||||||||
| Inform | N/A | [,] | N/A | N/A | N/A | |||||||
| Self-manage | [,,] | [,] | [] | N/A | N/A | |||||||
| Multiple | [] | []d [,] []e | N/A | N/A | N/A | |||||||
| Web+mobile | ||||||||||||
| Multiple | []f | [] | N/A | N/A | N/A | |||||||
| Sleep | ||||||||||||
| Web | ||||||||||||
| Treat | []d,e [] []g | N/A | N/A | N/A | N/A | |||||||
| Web+mobile | ||||||||||||
| Multiple | [] | [,] | N/A | N/A | N/A | |||||||
| Social support | ||||||||||||
| Web | ||||||||||||
| Multiple | []d,e,h [] | []d []d,e,h []d,e [] []d,e | N/A | N/A | N/A | |||||||
| Symptom | ||||||||||||
| Telemonitoring | ||||||||||||
| Self-manage | [,,,,] | [,] | N/A | N/A | N/A | |||||||
| Web | ||||||||||||
| Self-manage | [,,,,,] | N/A | N/A | N/A | N/A | |||||||
| Multiple | []d [,] | N/A | N/A | N/A | N/A | |||||||
| Mobile | ||||||||||||
| Self-manage | [,] | [,] | N/A | [] | N/A | |||||||
aMixed effect: both positive and negative effects were identified.
bN/A: not applicable.
cMultiple: multiple digital health functions were combined.
dMultiple-arm study and different intervention groups.
eAdditional intervention was provided by telephone (provided only in some arms in multiple-arm study).
fAdditional intervention was provided in person.
gAdditional intervention was provided in person and by telephone.
hMultiple-arm study and different control groups.
iAdditional intervention was provided by CD-ROM.
jHRQoL: health-related quality of life.
kQoL: quality of life.
More studies with positive outcomes were identified for web-based interventions to inform decision-making, HRQoL or quality of life (QoL), and knowledge; to self-manage depression, distress, fatigue, and HRQoL or QoL; to treat distress, fatigue, and for HRQoL or QoL; and web+mobile multiple-function interventions for anxiety and HRQoL or QoL. More studies with positive outcomes were also identified for telemonitoring to self-manage symptoms and telemonitoring combined with telemedicine and treat for HRQoL or QoL.
Studies with no effect or negative outcomes outnumbered web-based interventions to inform for recall of cancer-related information; self-manage interventions for cancer-specific distress and cost; and the following multiple-function interventions for anxiety, breast cancer concerns, and competence: health care, coping, depression, distress, fatigue, function, functional well-being, HRQoL or QoL, self-efficacy, and social support. There were also a greater number of studies with no effect or negative outcomes with regard to mobile self-manage interventions for HRQoL or QoL and web-based interventions combined with mobile multiple-function interventions for depression and sleep.
No effects were reported for web-based interventions to inform targeting self-efficacy or self-manage interventions for function, functional well-being, intrusive thoughts, pain, physical activity, and personal control. Web-based multiple-function interventions targeting diet and pain demonstrated no effects. Web-based interventions combined with mobile interventions with multiple-function interventions for physical activity also demonstrated no effects.
Notably, the effectiveness of digital health interventions targeting anxiety, depression, distress, fatigue, HRQoL or QoL, pain, physical activity, and sleep depended on the type and function of the interventions.
Two web-based interventions with communicate functions for distress only demonstrated negative outcomes. Inconsistent outcomes from equivalent numbers of studies with positive effects and no effect or negative effects were identified from the rest of the studies listed ().
Adverse events were reported in some of the studies [,,,,,,,]. There was increased distress because the information content reminded patients of their cancer, because patients felt pressured to engage in healthy behavior, and because patients felt frustrated by options that did not match their situation []. In addition, increased symptoms [,] and unintended weight loss while trying a healthy diet [] were reported as adverse events. Some of the adverse events that were unrelated to the digital intervention [] occurred in 2 participants in the usual-care group who were concerned about cancer recurrence [] and in the control group participants who played the control game [] or were similar for both the intervention and control groups []. A single serious adverse event occurred, in which 1 participant was admitted to the psychiatric clinic; however, the study did not report whether this event occurred in the intervention group or control group [].
| Types of digital health interventions | Studies with positive outcomes | Studies with positive outcomes outnumbered studies with no effect or negative outcomes | Effectiveness of digital health interventions was subject to their type and function | Studies with no effect or negative outcomes outnumbered studies with positive outcomes | Studies with no effect | Studies with negative outcomes |
| Telemonitoring | N/Aa | Self-manage symptom | Anxiety; depression; distress; fatigue; HRQoLb or QoLc; pain; physical activity; sleep | N/A | N/A | N/A |
| Telemedicine | N/A | N/A | Anxiety; depression; distress; fatigue; HRQoL or QoL; pain; physical activity; sleep | N/A | N/A | N/A |
| Wearable | Multipled functions for physical activity | N/A | Anxiety; depression; distress; fatigue; HRQoL or QoL; pain; physical activity; sleep | N/A | N/A | N/A |
| Web | Inform for anxiety; preventative behavior change for physical activity; self-manage symptoms; treat for cognitive function, depression, fear of cancer recurrence, and sleep; multiple functions for symptom | Inform for decision-making, HRQoL or QoL, and knowledge; self-manage depression, distress, fatigue, and HRQoL or QoL; treat for distress, fatigue, and HRQoL or QoL | Anxiety; depression; distress; fatigue; HRQoL or QoL; pain; physical activity; sleep | Inform for recall of cancer-related information; self-manage intervention for cancer-specific distress and cost; multiple functions for anxiety, breast cancer concerns, and competence (including health care, coping, depression, distress, fatigue, function, functional well-being, HRQoL or QoL, self-efficacy, and social support) | Inform for self-efficacy; self-manage for function, functional well-being, intrusive thoughts, pain, physical activity, and personal control; multiple functions for diet and pain | Communicate for distress |
| Mobile | N/A | N/A | Anxiety; depression; distress; fatigue; HRQoL or QoL; pain; physical activity; sleep | Self-manage for HRQoL or QoL | N/A | N/A |
| Web+mobile | Multiple functions for pain | Multiple functions for anxiety and HRQoL or QoL | Anxiety; depression; distress; fatigue; HRQoL or QoL; pain; physical activity; sleep | Multiple functions for depression and sleep | Multiple functions for physical activity | N/A |
| Telemonitoring+telemedicine | Treat depression and pain | Treat for HRQoL or QoL | Anxiety; depression; distress; fatigue; HRQoL or QoL; pain; physical activity; sleep | N/A | N/A | N/A |
aN/A: not applicable.
bHRQoL: health-related quality of life.
cQoL: quality of life.
dMultiple: multiple digital health functions were combined.
Discussion
Principal Findings
This scoping review provides a comprehensive summary of digital health interventions for adult patients with cancer or cancer survivors. A total of 231 studies that used digital health interventions were included in the review. By summarizing the broad literature, the major results showed that (1) web-based digital health technologies are the most frequently used intervention modality (116/231, 50.2%), (2) digital health interventions with multiple functions are the most studied (69/231, 29.9%), and (3) systematic reviews and studies regarding the clinical application of digital health interventions for patients with cancer are worthy of consideration. The effectiveness of digital health interventions targeting anxiety, depression, distress, fatigue, HRQoL or QoL, pain, physical activity, and sleep is subject to the type and function of the interventions, and this needs to be investigated further to select appropriate types and functions of digital health approaches depending on the targets. Digital health interventions that demonstrate inconsistent outcomes, as well as studies with no effect or negative outcomes that outnumber studies with positive outcomes, are worthy of further investigation, considering the limited number of studies conducted thus far. Digital health interventions that only demonstrated no effect or negative outcomes would have low priority for further investigation.
The number of RCTs using digital health interventions for patients with cancer has increased since 2013, and 50 RCT studies were published in 2020. The number of RCTs using digital health interventions conducted in the United States has been overwhelmingly high in the last 20 years. Since eHealth was first defined [], it has gradually expanded owing to the change in the medical paradigm, the impact of the Fourth Industrial Revolution, and the popularization of smartphones.
In this review, digital interventions were mostly applied to adult patients (97/231, 42%) or both adult and older adult patients with cancer (119/231, 51.5%). However, digital health intervention studies targeting only geriatric patients with cancer were the rarest (6/231, 2.6%). Cancer is considered a disease of aging. Most of the new cancer diagnoses occur in older adults (aged >65 years) [], and the incidence of new cancers is expected to double by 2035 among older adults []. For these reasons, providing high-quality care for older adults with cancer can be a high-priority item on the clinical agenda. In addition, cancer mortality has decreased, and the 5-year relative survival rate for all cancers has gradually increased to nearly 70% []. Considering the number of aging patients with cancer and the increasing number of cancer survivors, it is necessary to suggest directions for how to apply digital health interventions for older adult patients with cancer. As Kemp et al [] suggested, the variability of digital health literacy in patients with cancer, including age and life circumstances, should be addressed to implement digital health interventions effectively and safely.
More than half (124/231, 53.7%) of the studies in this scoping review included both female and male patients with cancer. However, 38.5% (89/231) of the studies included only female patients with cancer, which is related to the fact that, of the 129 studies for single cancer, 79 (61.2%) were conducted on patients with breast cancer. A previous scoping review of 151 publicly available apps for cancer survivors found that a majority of the apps targeted all cancer types, followed by apps targeting breast cancer [].
When applying digital health interventions, researchers should prioritize cancer types for which there is sufficient evidence indicating that these interventions are safe and effective. However, more studies are still needed to test their applicability to specific cancer types and broaden the range of cancer types to which they can be applied. Almost three-fourths (163/231, 70.6%) of the studies in this review involved patients with early-stage cancer or patients with cancer of any stage, but only 9.5% (22/231) of the studies targeted only patients with advanced or metastatic cancer. Digital health interventions for cancer survivors accounted for the largest proportion (97/231, 42%), followed by digital health interventions provided along with cancer treatment (70/231, 30.3%). Further studies are particularly required on the direction of digital health interventions for patients with advanced or metastatic cancer because studies of patients with advanced or metastatic cancer in the later stages of life or of caregivers of palliative care reported more unmet needs than studies that included cancer survivors [].
Most (187/231, 81%) of the digital interventions were applied at home. The clinical context for cancer treatment has shifted to outpatient or home settings in recent years, and digital health technology can be one of the solutions to support patients with cancer in their care continuum []. It is expected that the number of digital health interventions applied at home by patients with cancer and their caregivers will increase in the future. As this scoping review focused on digital health interventions for patients with cancer, digital health studies about system services, which did not have intervention components, might have been rare.
Digital health interventions using web-based methods have been the most frequently evaluated during the past 20 years. Considering their universality and accessibility, it is natural that web-based digital health interventions have been the most studied. Before developing digital health interventions for patients with cancer, the key factors affecting their use should be considered from the patients’ perspective. Aapro et al [] outlined 7 factors affecting the uptake of digital tools from the patients’ perspective: ease of use, reassurance, high usability and usefulness, improved communication with health care professionals, correct generation of system alerts and fast response to alerts, patient empowerment, and the convenience of real-time reporting of symptoms. Moreover, with the popularization of smartphones, the accessibility of apps has increased, and patients with cancer and their caregivers can easily find some apps related to cancer. Adam et al [] found that most of the publicly available apps for cancer survivors were developed by commercial or private organizations, and judging quality, effectiveness, clinical utility and data protection issues could be challenging for cancer survivors and health care providers. Researchers need to consider issues specific to digital health in developing and evaluating interventions for patients with cancer.
Among the NICE functional categories, interventions comprising multiple functions were the most frequently studied (69/231, 29.9%), followed by interventions comprising self-manage functions (67/231, 29%). Digital health interventions with the self-manage function provided options for users to record and send data to a health care professional []. Digital health interventions for symptom tracking combined with feedback from health care professionals are good candidates for clinical translation. The use of patient-reported outcome measures can improve health professional–patient communication, symptom management, supportive care, and patient satisfaction []. Health diaries or active monitoring were not used as stand-alone features of the interventions in this study, although they were used as part of multiple functions. Calculate refers to “tools that perform clinical calculations that are likely to affect clinical care decisions,” and digital health interventions classified into the calculate category are generally used by clinicians or professionals []. As this review concerned digital health interventions for patients with cancer, no studies were identified for the calculate function.
Effectiveness could vary in relation to patient population and difference in technology [], and this review showed heterogeneous outcomes by type and function of the interventions. Web-based self-manage interventions for communicating with providers, web-based self-manage and multiple-function interventions targeting symptoms, and web-based interventions to treat cognitive function and fear of cancer recurrence showed consistent positive outcomes in this scoping review. Although different types and functions of digital health interventions could result in different outcomes, positive outcomes were also demonstrated by web-based interventions to inform anxiety, web-based as well as telemonitoring interventions combined with telemedicine interventions to treat depression, web-based interventions combined with mobile interventions with multiple functions and telemonitoring combined with telemedicine interventions to treat pain, wearable with multiple functions and web-based interventions for preventative behavior change for physical activity, and web-based interventions to treat sleep. A systematic review evaluating digital health interventions providing supportive care for patients with cancer supported a positive effect on symptoms such as fatigue, pain, and depression []. Moreover, more studies with positive outcomes were identified in this scoping review for web-based interventions to inform, self-manage, and treat for HRQoL or QoL; web+mobile multiple-function interventions for HRQoL or QoL; and telemonitoring combined with telemedicine to treat for HRQoL or QoL. Positive outcomes were identified in some previous reviews that were narrower than this scoping review and focused on specific cancer types such as prostate cancer or, predominantly, breast cancer, indicating the effect of the intervention on HRQoL [,]. The results of this review, which has a broader scope in terms of population, showed some positive effects and some null effects. Further systematic study is needed to clarify whether the difference in outcomes arises from patient characteristics or from the intervention. Many previous reviews that evaluated the effectiveness of digital interventions for patients with cancer provided inconsistent and inconclusive results and suggested that well-planned further studies should be conducted; for example, Escriva Boulley et al [] systematically reviewed the engagement with digital health interventions of patients with cancer and the psychosocial effects of the interventions in 29 articles (24 studies), and the efficacy of digital health interventions in changing psychosocial outcomes was inconsistent. The findings of the study by Roberts et al [] indicated that digital behavior change interventions for cancer survivors might improve physical activity and BMI, but evidence for diet was mixed. The mixed outcomes for symptom management using the mobile app intervention included the positive effect of lower levels of fatigue and an increase in the number of reports of hand-foot syndrome in the intervention arm. Facilitation of symptom assessment by the mobile app intervention might have contributed to the mixed outcomes []. Another set of mixed outcomes concerned knowledge, where the control group reported increased perception of received knowledge, whereas the intervention group reported a decrease in perception of received knowledge []. Higher perception of received knowledge among control group participants was interpreted as deriving from patients’ satisfaction with the education they received from hospital staff in person. When knowledge was evaluated in terms of the knowledge level rather than the perception of received knowledge, participants in the internet-based patient education program demonstrated a higher level of knowledge. The effect of a personal touch and the effectiveness of digital interventions in increasing knowledge might have resulted in these mixed outcomes. Overall, digital health interventions targeting cognitive function, mindfulness, and strength all demonstrated positive outcomes; however, we did not include mindfulness [,] and strength [,,] in and because only a single study existed for each digital health intervention type and function. Future development of digital health interventions and RCTs would provide enriched resources to understand the effectiveness of digital health interventions for patients with cancer.
A negative effect of web-based communicate interventions on distress [,] and of web-based self-manage interventions on self-efficacy [] as well as a few adverse events that occurred while conducting digital health studies were identified. The influence of digital health modalities such as playing games on dizziness needs to be considered, although the reported adverse events occurred in a control group participant. An increase in distress and symptoms and unintended weight loss could be related to intervention content rather than the digital delivery of the intervention, and this needs to be taken into consideration in developing the contents of future digital health interventions for patients with cancer.
The use of digital health interventions would be inevitable when considering the advances in digital technology and the needs of patients with cancer, caregivers, and health care professionals. Health care providers should help to develop appropriate digital health interventions for patients with cancer because engaging patients with cancer in their care can make for better health outcomes, and this is also expected to decrease health care providers’ burden []. To develop digital health interventions that qualify as both efficacious and safe for patients with cancer, the collaboration of a multidisciplinary team will be necessary. The strengths of this study include (1) providing a comprehensive overview of digital health interventions for adult patients with cancer or cancer survivors from the time when the definition of eHealth was first introduced to the present day and (2) categorizing digital interventions by type and function and summarizing outcomes, which enables the identification of digital health interventions requiring further investigations and systematic reviews.
Limitations
We applied the highest standard with regard to research design (RCTs) in selecting digital health interventions considering patient characteristics (patients with cancer). According to the NICE evidence standards framework, only tier C digital health interventions for treatment (specifically for treat, active monitoring, calculate, or diagnose functions) require a high-quality RCT as the best practice standard []. This study was limited because it included only RCTs. The most frequently identified functions of digital health interventions in this scoping review—multiple and self-manage—could be evaluated using a study design with a broader scope, including a high-quality quasi-experimental study design with comparison groups; thus, in this scoping review, areas that considered gaps in research could have been overestimated. With regard to outcomes of digital health interventions, outcomes identified from >2 studies of the same target, type, and function were summarized. Of note, there were single well-designed full-size RCTs that demonstrated the effectiveness of digital health interventions of specific types and functions targeting nursing problems, which were not included in .
Conclusions
This scoping review investigated the types and functions of digital health interventions developed and evaluated for patients with cancer that targeted various nursing problems and summarized their outcomes. Systematic reviews based on this scoping review—for example, a systematic review on the efficacy of interventions in relation to patient characteristics—should be the next step to accumulate evidence regarding the clinical application of digital health interventions for patients with cancer. The relationship between the effectiveness of digital health interventions and their types and functions needs to be investigated further to guide the selection of appropriate types and functions of digital health approaches depending on the targets. Digital health interventions that demonstrate equivalent outcomes, as well as those for which no effect or negative outcomes outnumber positive outcomes in the literature, are worthy of further investigation, considering the limited number of studies conducted. The identified gaps in digital health resources for cancer care need to be reflected in future digital health research.
Acknowledgments
This research project was supported by the Brain Korea 21 FOUR project funded by the National Research Foundation of Korea, Yonsei University College of Nursing (2021-22-0159).
Authors' Contributions
KL, SK, SHK, S-HY, JHS, EGO, NK, and JL conceived and designed the study. KL, SK, SHK, S-HY, JHS, and JL selected studies and extracted data. KL and JL analyzed and interpreted the data and wrote the original draft. All authors participated in reviewing and editing the final manuscript. JL received research funding for the study.
Conflicts of Interest
None declared.
Search strategy for PubMed.
PDF File (Adobe PDF File), 81 KBReferences
- Eysenbach G. What is e-health? J Med Internet Res 2001 Jun 18;3(2):E20 [FREE Full text] [CrossRef] [Medline]
- Ronquillo Y, Meyers A, Korvek S. Digital health. In: StatPearls. Treasure Island (FL): StatPearls Publishing; 2022.
- Aapro M, Bossi P, Dasari A, Fallowfield L, Gascón P, Geller M, et al. Digital health for optimal supportive care in oncology: benefits, limits, and future perspectives. Support Care Cancer 2020 Oct 12;28(10):4589-4612 [FREE Full text] [CrossRef] [Medline]
- Digital health in the UK: an industry study for the office of life sciences. Deloitte. 2015 Sep. URL: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/461479/BIS-15-544-digital-health-in-the-uk-an-industry-study-for-the-Office-of-Life-Sciences.pdf [accessed 2022-09-07]
- WHO Guideline: Recommendations on Digital Interventions for Health System Strengthening. Geneva: World Health Organization; 2019.
- Basch E, Deal AM, Kris MG, Scher HI, Hudis CA, Sabbatini P, et al. Symptom monitoring with patient-reported outcomes during routine cancer treatment: a randomized controlled trial. J Clin Oncol 2016 Feb 20;34(6):557-565 [FREE Full text] [CrossRef] [Medline]
- Archer S, Cheung NH, Williams I, Darzi A. The impact of digital health interventions on the psychological outcomes of patients and families receiving paediatric palliative care: a systematic review and narrative synthesis. Palliat Med 2021 Dec;35(10):2017-2023 [FREE Full text] [CrossRef] [Medline]
- Cheng L, Duan M, Mao X, Ge Y, Wang Y, Huang H. The effect of digital health technologies on managing symptoms across pediatric cancer continuum: a systematic review. Int J Nurs Sci 2021 Jan 10;8(1):22-29 [FREE Full text] [CrossRef] [Medline]
- Hong HC, Min A, Kim YM. The effectiveness of digital self-management interventions on health outcomes among childhood cancer survivors: a systematic review and meta-analysis. J Adv Nurs 2021 Nov;77(11):4387-4399. [CrossRef] [Medline]
- McCann L, McMillan KA, Pugh G. Digital interventions to support adolescents and young adults with cancer: systematic review. JMIR Cancer 2019 Jul 31;5(2):e12071 [FREE Full text] [CrossRef] [Medline]
- Ramsey WA, Heidelberg RE, Gilbert AM, Heneghan MB, Badawy SM, Alberts NM. eHealth and mHealth interventions in pediatric cancer: a systematic review of interventions across the cancer continuum. Psychooncology 2020 Jan;29(1):17-37. [CrossRef] [Medline]
- Viola A, Panigrahi G, Devine KA. Digital interventions for adolescent and young adult cancer survivors. Curr Opin Support Palliat Care 2020 Mar;14(1):51-59. [CrossRef] [Medline]
- Sotirova MB, McCaughan EM, Ramsey L, Flannagan C, Kerr DP, O'Connor SR, et al. Acceptability of online exercise-based interventions after breast cancer surgery: systematic review and narrative synthesis. J Cancer Surviv 2021 Apr;15(2):281-310 [FREE Full text] [CrossRef] [Medline]
- Forbes CC, Finlay A, McIntosh M, Siddiquee S, Short CE. A systematic review of the feasibility, acceptability, and efficacy of online supportive care interventions targeting men with a history of prostate cancer. J Cancer Surviv 2019 Feb;13(1):75-96 [FREE Full text] [CrossRef] [Medline]
- Rollin A, Ridout B, Campbell A. Digital health in melanoma posttreatment care in rural and remote Australia: systematic review. J Med Internet Res 2018 Sep 24;20(9):e11547 [FREE Full text] [CrossRef] [Medline]
- Shah AC, O'Dwyer LC, Badawy SM. Telemedicine in malignant and nonmalignant hematology: systematic review of pediatric and adult studies. JMIR Mhealth Uhealth 2021 Jul 08;9(7):e29619 [FREE Full text] [CrossRef] [Medline]
- Bradbury K, Steele M, Corbett T, Geraghty AWA, Krusche A, Heber E, et al. Developing a digital intervention for cancer survivors: an evidence-, theory- and person-based approach. NPJ Digit Med 2019;2:85 [FREE Full text] [CrossRef] [Medline]
- Mikles SP, Griffin AC, Chung AE. Health information technology to support cancer survivorship care planning: a systematic review. J Am Med Inform Assoc 2021 Sep 18;28(10):2277-2286 [FREE Full text] [CrossRef] [Medline]
- Karamanidou C, Natsiavas P, Koumakis L, Marias K, Schera F, Schäfer M, et al. Electronic patient-reported outcome-based interventions for palliative cancer care: a systematic and mapping review. JCO Clin Cancer Inform 2020 Jul;4:647-656 [FREE Full text] [CrossRef] [Medline]
- Salvador Vergès À, Cusí Sánchez MV, Bossio Grigera P, Fàbrega Agulló C, Gomes da Costa F, Serra Trullas A, et al. Determinants in stakeholder opinions about telemedicine in palliative care: a scoping review. Telemed J E Health 2022 Jul;28(7):932-941. [CrossRef] [Medline]
- Gambalunga F, Iacorossi L, Notarnicola I, Serra V, Piredda M, De Marinis MG. Mobile health in adherence to oral anticancer drugs: a scoping review. Comput Inform Nurs 2020 Jun 19;39(1):17-23. [CrossRef] [Medline]
- Schaffer K, Panneerselvam N, Loh KP, Herrmann R, Kleckner IR, Dunne RF, et al. Systematic review of randomized controlled trials of exercise interventions using digital activity trackers in patients with cancer. J Natl Compr Canc Netw 2019 Jan;17(1):57-63 [FREE Full text] [CrossRef] [Medline]
- Roberts AL, Fisher A, Smith L, Heinrich M, Potts HWW. Digital health behaviour change interventions targeting physical activity and diet in cancer survivors: a systematic review and meta-analysis. J Cancer Surviv 2017 Dec;11(6):704-719 [FREE Full text] [CrossRef] [Medline]
- Hong YA, Hossain MM, Chou WS. Digital interventions to facilitate patient-provider communication in cancer care: a systematic review. Psychooncology 2020 Apr;29(4):591-603. [CrossRef] [Medline]
- Marthick M, McGregor D, Alison J, Cheema B, Dhillon H, Shaw T. Supportive care interventions for people with cancer assisted by digital technology: systematic review. J Med Internet Res 2021 Oct 29;23(10):e24722 [FREE Full text] [CrossRef] [Medline]
- Escriva Boulley G, Leroy T, Bernetière C, Paquienseguy F, Desfriches-Doria O, Préau M. Digital health interventions to help living with cancer: a systematic review of participants' engagement and psychosocial effects. Psychooncology 2018 Dec;27(12):2677-2686. [CrossRef] [Medline]
- National Academies of Sciences, Engineering, and Medicine. Opportunities and Challenges for Using Digital Health Applications in Oncology: Proceedings of a Workshop. Washington, DC: The National Academies Press; 2021.
- Peters MGC, McInerney P, Munn Z, Tricco AC, Khalil H. JBI Manual for Evidence Synthesis. Adelaide, Australia: Joanna Briggs Institute; 2020.
- Oh H, Rizo C, Enkin M, Jadad A. What is eHealth (3): a systematic review of published definitions. J Med Internet Res 2005 Feb 24;7(1):e1 [FREE Full text] [CrossRef] [Medline]
- Common cancer types. National Cancer Institute. 2022. URL: https://www.cancer.gov/types/common-cancers [accessed 2022-09-07]
- Cancer. World Health Organization. 2022. URL: https://www.who.int/health-topics/cancer [accessed 2022-09-07]
- Unsworth H, Dillon B, Collinson L, Powell H, Salmon M, Oladapo T, et al. The NICE Evidence Standards Framework for digital health and care technologies - Developing and maintaining an innovative evidence framework with global impact. Digit Health 2021;7:20552076211018617 [FREE Full text] [CrossRef] [Medline]
- Abrahams HJ, Gielissen MFM, Donders RRT, Goedendorp MM, van der Wouw AJ, Verhagen CAHHVM, et al. The efficacy of internet-based cognitive behavioral therapy for severely fatigued survivors of breast cancer compared with care as usual: a randomized controlled trial. Cancer 2017 Oct 01;123(19):3825-3834 [FREE Full text] [CrossRef] [Medline]
- Absolom K, Warrington L, Hudson E, Hewison J, Morris C, Holch P, et al. Phase III randomized controlled trial of eRAPID: eHealth intervention during chemotherapy. J Clin Oncol 2021 Mar 01;39(7):734-747. [CrossRef] [Medline]
- Admiraal JM, van der Velden AWG, Geerling JI, Burgerhof JGM, Bouma G, Walenkamp AME, et al. Web-based tailored psychoeducation for breast cancer patients at the onset of the survivorship phase: a multicenter randomized controlled trial. J Pain Symptom Manage 2017 Oct;54(4):466-475 [FREE Full text] [CrossRef] [Medline]
- Advani P, Brewster AM, Baum GP, Schover LR. A pilot randomized trial to prevent sexual dysfunction in postmenopausal breast cancer survivors starting adjuvant aromatase inhibitor therapy. J Cancer Surviv 2017 Aug 22;11(4):477-485. [CrossRef] [Medline]
- Alberts NM, Leisenring WM, Flynn JS, Whitton J, Gibson TM, Jibb L, et al. Wearable respiratory monitoring and feedback for chronic pain in adult survivors of childhood cancer: a feasibility randomized controlled trial from the childhood cancer survivor study. JCO Clin Cancer Inform 2020 Nov(4):1014-1026. [CrossRef]
- Allicock M, Kendzor D, Sedory A, Gabriel KP, Swartz MD, Thomas P, et al. A pilot and feasibility mobile health intervention to support healthy behaviors in African American breast cancer survivors. J Racial Ethn Health Disparities 2021 Feb 8;8(1):157-165. [CrossRef] [Medline]
- Ariza-Garcia A, Lozano-Lozano M, Galiano-Castillo N, Postigo-Martin P, Arroyo-Morales M, Cantarero-Villanueva I. A web-based exercise system (e-CuidateChemo) to counter the side effects of chemotherapy in patients with breast cancer: randomized controlled trial. J Med Internet Res 2019 Jul 24;21(7):e14418 [FREE Full text] [CrossRef] [Medline]
- Armstrong KA, Coyte PC, Brown M, Beber B, Semple JL. Effect of home monitoring via mobile app on the number of in-person visits following ambulatory surgery: a randomized clinical trial. JAMA Surg 2017 Jul 01;152(7):622-627 [FREE Full text] [CrossRef] [Medline]
- Atema V, van Leeuwen M, Kieffer JM, Oldenburg HSA, van Beurden M, Gerritsma MA, et al. Efficacy of internet-based cognitive behavioral therapy for treatment-induced menopausal symptoms in breast cancer survivors: results of a randomized controlled trial. J Clin Oncol 2019 Apr 01;37(10):809-822. [CrossRef] [Medline]
- Bade BC, Gan G, Li F, Lu L, Tanoue L, Silvestri GA, et al. "Randomized trial of physical activity on quality of life and lung cancer biomarkers in patients with advanced stage lung cancer: a pilot study". BMC Cancer 2021 Apr 01;21(1):352 [FREE Full text] [CrossRef] [Medline]
- Badger T, Segrin C, Pasvogel A, Lopez AM. The effect of psychosocial interventions delivered by telephone and videophone on quality of life in early-stage breast cancer survivors and their supportive partners. J Telemed Telecare 2013 Jul;19(5):260-265. [CrossRef] [Medline]
- Baker TB, Hawkins R, Pingree S, Roberts LJ, McDowell HE, Shaw BR, et al. Optimizing eHealth breast cancer interventions: which types of eHealth services are effective? Transl Behav Med 2011 Mar 29;1(1):134-145 [FREE Full text] [CrossRef] [Medline]
- Bani Mohammad E, Ahmad M. Virtual reality as a distraction technique for pain and anxiety among patients with breast cancer: a randomized control trial. Pall Supp Care 2019 Feb 10;17(1):29-34. [CrossRef]
- Beatty L, Kemp E, Coll JR, Turner J, Butow P, Milne D, et al. Finding My Way: results of a multicentre RCT evaluating a web-based self-guided psychosocial intervention for newly diagnosed cancer survivors. Support Care Cancer 2019 Jul 9;27(7):2533-2544. [CrossRef] [Medline]
- Beatty L, Koczwara B, Wade T. Evaluating the efficacy of a self-guided Web-based CBT intervention for reducing cancer-distress: a randomised controlled trial. Support Care Cancer 2016 Mar 7;24(3):1043-1051. [CrossRef] [Medline]
- Bellens A, Roelant E, Sabbe B, Peeters M, van Dam PA. A video-game based cognitive training for breast cancer survivors with cognitive impairment: a prospective randomized pilot trial. Breast 2020 Oct;53:23-32 [FREE Full text] [CrossRef] [Medline]
- Berry DL, Blumenstein BA, Halpenny B, Wolpin S, Fann JR, Austin-Seymour M, et al. Enhancing patient-provider communication with the electronic self-report assessment for cancer: a randomized trial. J Clin Oncol 2011 Mar 10;29(8):1029-1035 [FREE Full text] [CrossRef] [Medline]
- Berry DL, Hong F, Blonquist TM, Halpenny B, Filson CP, Master VA, et al. Decision support with the personal patient profile-prostate: a multicenter randomized trial. J Urol 2018 Jan;199(1):89-97 [FREE Full text] [CrossRef] [Medline]
- Berry DL, Hong F, Halpenny B, Partridge AH, Fann JR, Wolpin S, et al. Electronic self-report assessment for cancer and self-care support: results of a multicenter randomized trial. J Clin Oncol 2014 Jan 20;32(3):199-205 [FREE Full text] [CrossRef] [Medline]
- Bickell NA, Shah A, Castaldi M, Lewis T, Sickles A, Arora S, et al. Caution ahead: research challenges of a randomized controlled trial implemented to improve breast cancer treatment at safety-net hospitals. J Oncol Pract 2018 Mar;14(3):e158-e167 [FREE Full text] [CrossRef] [Medline]
- Blair CK, Harding E, Wiggins C, Kang H, Schwartz M, Tarnower A, et al. A home-based mobile health intervention to replace sedentary time with light physical activity in older cancer survivors: randomized controlled pilot trial. JMIR Cancer 2021 Apr 13;7(2):e18819 [FREE Full text] [CrossRef] [Medline]
- Boele FW, Klein M, Verdonck-de Leeuw IM, Cuijpers P, Heimans JJ, Snijders TJ, Dutch Society for Neuro-Oncology (LWNO). Internet-based guided self-help for glioma patients with depressive symptoms: a randomized controlled trial. J Neurooncol 2018 Mar 13;137(1):191-203 [FREE Full text] [CrossRef] [Medline]
- Bol N, Smets EM, Rutgers MM, Burgers JA, de Haes HC, Loos EF, et al. Do videos improve website satisfaction and recall of online cancer-related information in older lung cancer patients? Patient Educ Couns 2013 Sep;92(3):404-412. [CrossRef] [Medline]
- Bol N, Smets EMA, Eddes EH, de Haes JCJM, Loos EF, van Weert JCM. Illustrations enhance older colorectal cancer patients' website satisfaction and recall of online cancer information. Eur J Cancer Care (Engl) 2015 Mar 23;24(2):213-223. [CrossRef] [Medline]
- Børøsund E, Cvancarova M, Moore SM, Ekstedt M, Ruland CM. Comparing effects in regular practice of e-communication and web-based self-management support among breast cancer patients: preliminary results from a randomized controlled trial. J Med Internet Res 2014 Dec 18;16(12):e295 [FREE Full text] [CrossRef] [Medline]
- Børøsund E, Ehlers SL, Varsi C, Clark MM, Andrykowski MA, Cvancarova M, et al. Results from a randomized controlled trial testing StressProffen; an application-based stress-management intervention for cancer survivors. Cancer Med 2020 Jun;9(11):3775-3785 [FREE Full text] [CrossRef] [Medline]
- Bruggeman-Everts FZ, Wolvers MDJ, van de Schoot R, Vollenbroek-Hutten MMR, Van der Lee ML. Effectiveness of two web-based interventions for chronic cancer-related fatigue compared to an active control condition: results of the "Fitter na kanker" randomized controlled trial. J Med Internet Res 2017 Oct 19;19(10):e336 [FREE Full text] [CrossRef] [Medline]
- Bryant AL, Coffman E, Phillips B, Tan X, Bullard E, Hirschey R, et al. Pilot randomized trial of an electronic symptom monitoring and reporting intervention for hospitalized adults undergoing hematopoietic stem cell transplantation. Support Care Cancer 2020 Mar 20;28(3):1223-1231 [FREE Full text] [CrossRef] [Medline]
- Cadmus-Bertram L, Tevaarwerk AJ, Sesto ME, Gangnon R, Van Remortel B, Date P. Building a physical activity intervention into clinical care for breast and colorectal cancer survivors in Wisconsin: a randomized controlled pilot trial. J Cancer Surviv 2019 Aug 1;13(4):593-602 [FREE Full text] [CrossRef] [Medline]
- Carpenter KM, Stoner SA, Schmitz K, McGregor BA, Doorenbos AZ. An online stress management workbook for breast cancer. J Behav Med 2014 Jun;37(3):458-468 [FREE Full text] [CrossRef] [Medline]
- Casillas JN, Schwartz LF, Crespi CM, Ganz PA, Kahn KL, Stuber ML, et al. The use of mobile technology and peer navigation to promote adolescent and young adult (AYA) cancer survivorship care: results of a randomized controlled trial. J Cancer Surviv 2019 Aug 26;13(4):580-592 [FREE Full text] [CrossRef] [Medline]
- Chee W, Lee Y, Ji X, Chee E, Im EO. The preliminary efficacy of a technology-based cancer pain management program among Asian American breast cancer survivors. Comput Inform Nurs 2020 Mar;38(3):139-147 [FREE Full text] [CrossRef] [Medline]
- Cheville AL, Moynihan T, Herrin J, Loprinzi C, Kroenke K. Effect of collaborative telerehabilitation on functional impairment and pain among patients with advanced-stage cancer: a randomized clinical trial. JAMA Oncol 2019 May 01;5(5):644-652 [FREE Full text] [CrossRef] [Medline]
- Chow EJ, Doody DR, Di C, Armenian SH, Baker KS, Bricker JB, et al. Feasibility of a behavioral intervention using mobile health applications to reduce cardiovascular risk factors in cancer survivors: a pilot randomized controlled trial. J Cancer Surviv 2021 Aug 10;15(4):554-563 [FREE Full text] [CrossRef] [Medline]
- Chung IY, Kang E, Yom CK, Kim D, Sun Y, Hwang Y, et al. Effect of short message service as a reminder on breast self-examination in breast cancer patients: a randomized controlled trial. J Telemed Telecare 2015 Feb 19;21(3):144-150. [CrossRef]
- Çınar D, Karadakovan A, Erdoğan AP. Effect of mobile phone app-based training on the quality of life for women with breast cancer. Eur J Oncol Nurs 2021 Jun;52:101960. [CrossRef] [Medline]
- Classen CC, Chivers ML, Urowitz S, Barbera L, Wiljer D, O'Rinn S, et al. Psychosexual distress in women with gynecologic cancer: a feasibility study of an online support group. Psychooncology 2013 Apr;22(4):930-935. [CrossRef] [Medline]
- Cleeland CS, Wang XS, Shi Q, Mendoza TR, Wright SL, Berry MD, et al. Automated symptom alerts reduce postoperative symptom severity after cancer surgery: a randomized controlled clinical trial. J Clin Oncol 2011 Mar 10;29(8):994-1000 [FREE Full text] [CrossRef] [Medline]
- Compen F, Adang E, Bisseling E, van der Lee M, Speckens A. Cost-utility of individual internet-based and face-to-face mindfulness-based cognitive therapy compared with treatment as usual in reducing psychological distress in cancer patients. Psychooncology 2020 Feb 26;29(2):294-303 [FREE Full text] [CrossRef] [Medline]
- Compen F, Bisseling E, Schellekens M, Donders R, Carlson L, van der Lee M, et al. Face-to-face and internet-based mindfulness-based cognitive therapy compared with treatment as usual in reducing psychological distress in patients with cancer: a multicenter randomized controlled trial. J Clin Oncol 2018 Aug 10;36(23):2413-2421. [CrossRef] [Medline]
- Cuypers M, Lamers RED, Kil PJM, van de Poll-Franse LV, de Vries M. Impact of a web-based prostate cancer treatment decision aid on patient-reported decision process parameters: results from the Prostate Cancer Patient Centered Care trial. Support Care Cancer 2018 Nov 12;26(11):3739-3748 [FREE Full text] [CrossRef] [Medline]
- Darnall B, Ziadni M, Krishnamurthy P, Flood P, Heathcote L, Mackey IG, et al. "My surgical success": effect of a digital behavioral pain medicine intervention on time to opioid cessation after breast cancer surgery-a pilot randomized controlled clinical trial. Pain Med 2019 Nov 01;20(11):2228-2237 [FREE Full text] [CrossRef] [Medline]
- David N, Schlenker P, Prudlo U, Larbig W. Internet-based program for coping with cancer: a randomized controlled trial with hematologic cancer patients. Psychooncology 2013 May;22(5):1064-1072. [CrossRef] [Medline]
- de Hosson LD, Bouma G, Stelwagen J, van Essen H, de Bock GH, de Groot DJA, et al. Web-based personalised information and support for patients with a neuroendocrine tumour: randomised controlled trial. Orphanet J Rare Dis 2019 Feb 28;14(1):60 [FREE Full text] [CrossRef] [Medline]
- Devine KA, Viola A, Levonyan-Radloff K, Mackowski N, Bozzini B, Chandler A, et al. Feasibility of FitSurvivor: a technology-enhanced group-based fitness intervention for adolescent and young adult survivors of childhood cancer. Pediatr Blood Cancer 2020 Sep 26;67(9):e28530 [FREE Full text] [CrossRef] [Medline]
- Diefenbach MA, Benedict C, Miller SM, Stanton AL, Ropka ME, Wen KY, et al. Examining the impact of a multimedia intervention on treatment decision-making among newly diagnosed prostate cancer patients: results from a nationwide RCT. Transl Behav Med 2018 Nov 21;8(6):876-886 [FREE Full text] [CrossRef] [Medline]
- Dirkse D, Hadjistavropoulos HD, Alberts NA, Karin E, Schneider LH, Titov N, et al. Making internet-delivered cognitive behaviour therapy scalable for cancer survivors: a randomized non-inferiority trial of self-guided and technician-guided therapy. J Cancer Surviv 2020 Apr 18;14(2):211-225. [CrossRef] [Medline]
- Dong X, Yi X, Gao D, Gao Z, Huang S, Chao M, et al. The effects of the combined exercise intervention based on internet and social media software (CEIBISMS) on quality of life, muscle strength and cardiorespiratory capacity in Chinese postoperative breast cancer patients: a randomized controlled trial. Health Qual Life Outcomes 2019 Jun 26;17(1):109 [FREE Full text] [CrossRef] [Medline]
- Donovan HS, Ward SE, Sereika SM, Knapp JE, Sherwood PR, Bender CM, et al. Web-based symptom management for women with recurrent ovarian cancer: a pilot randomized controlled trial of the WRITE Symptoms intervention. J Pain Symptom Manage 2014 Feb;47(2):218-230 [FREE Full text] [CrossRef] [Medline]
- Dos Santos M, Hardy-Léger I, Rigal O, Licaj I, Dauchy S, Levy C, et al. Cognitive rehabilitation program to improve cognition of cancer patients treated with chemotherapy: a 3-arm randomized trial. Cancer 2020 Dec 15;126(24):5328-5336 [FREE Full text] [CrossRef] [Medline]
- Duffecy J, Sanford S, Wagner L, Begale M, Nawacki E, Mohr DC. Project onward: an innovative e-health intervention for cancer survivors. Psychooncology 2013 Apr;22(4):947-951 [FREE Full text] [CrossRef] [Medline]
- Ehrbar V, Germeyer A, Nawroth F, Dangel A, Findeklee S, Urech C, et al. Long-term effectiveness of an online decision aid for female cancer patients regarding fertility preservation: knowledge, attitude, and decisional regret. Acta Obstet Gynecol Scand 2021 Jun 23;100(6):1132-1139 [FREE Full text] [CrossRef] [Medline]
- Emmons KM, Puleo E, Sprunck-Harrild K, Ford J, Ostroff JS, Hodgson D, et al. Partnership for health-2, a web-based versus print smoking cessation intervention for childhood and young adult cancer survivors: randomized comparative effectiveness study. J Med Internet Res 2013 Nov 05;15(11):e218 [FREE Full text] [CrossRef] [Medline]
- Fann JR, Hong F, Halpenny B, Blonquist TM, Berry DL. Psychosocial outcomes of an electronic self-report assessment and self-care intervention for patients with cancer: a randomized controlled trial. Psychooncology 2017 Nov 15;26(11):1866-1871 [FREE Full text] [CrossRef] [Medline]
- Ferguson RJ, Sigmon ST, Pritchard AJ, LaBrie SL, Goetze RE, Fink CM, et al. A randomized trial of videoconference-delivered cognitive behavioral therapy for survivors of breast cancer with self-reported cognitive dysfunction. Cancer 2016 Jun 01;122(11):1782-1791 [FREE Full text] [CrossRef] [Medline]
- Ferrante JM, Devine KA, Bator A, Rodgers A, Ohman-Strickland PA, Bandera EV, et al. Feasibility and potential efficacy of commercial mHealth/eHealth tools for weight loss in African American breast cancer survivors: pilot randomized controlled trial. Transl Behav Med 2020 Oct 08;10(4):938-948 [FREE Full text] [CrossRef] [Medline]
- Finlay A, Evans H, Vincent A, Wittert G, Vandelanotte C, Short CE. Optimising web-based computer-tailored physical activity interventions for prostate cancer survivors: a randomised controlled trial examining the impact of website architecture on user engagement. Int J Environ Res Public Health 2020 Oct 28;17(21):7920 [FREE Full text] [CrossRef] [Medline]
- Fjell M, Langius-Eklöf A, Nilsson M, Wengström Y, Sundberg K. Reduced symptom burden with the support of an interactive app during neoadjuvant chemotherapy for breast cancer - a randomized controlled trial. Breast 2020 Jun;51:85-93 [FREE Full text] [CrossRef] [Medline]
- Foley NM, O'Connell EP, Lehane EA, Livingstone V, Maher B, Kaimkhani S, et al. PATI: patient accessed tailored information: a pilot study to evaluate the effect on preoperative breast cancer patients of information delivered via a mobile application. Breast 2016 Dec;30:54-58. [CrossRef] [Medline]
- Forbes CC, Blanchard CM, Mummery WK, Courneya KS. A pilot study on the motivational effects of an internet-delivered physical activity behaviour change programme in Nova Scotian cancer survivors. Psychol Health 2017 Feb 24;32(2):234-252. [CrossRef] [Medline]
- Fox RS, Moreno PI, Yanez B, Estabrook R, Thomas J, Bouchard LC, et al. Integrating PROMIS® computerized adaptive tests into a web-based intervention for prostate cancer. Health Psychol 2019 May;38(5):403-409 [FREE Full text] [CrossRef] [Medline]
- Freeman LW, White R, Ratcliff CG, Sutton S, Stewart M, Palmer JL, et al. A randomized trial comparing live and telemedicine deliveries of an imagery-based behavioral intervention for breast cancer survivors: reducing symptoms and barriers to care. Psychooncology 2015 Aug 22;24(8):910-918 [FREE Full text] [CrossRef] [Medline]
- Galiano-Castillo N, Arroyo-Morales M, Lozano-Lozano M, Fernández-Lao C, Martín-Martín L, Del-Moral-Ávila R, et al. Effect of an internet-based telehealth system on functional capacity and cognition in breast cancer survivors: a secondary analysis of a randomized controlled trial. Support Care Cancer 2017 Nov 22;25(11):3551-3559. [CrossRef] [Medline]
- Galiano-Castillo N, Cantarero-Villanueva I, Fernández-Lao C, Ariza-García A, Díaz-Rodríguez L, Del-Moral-Ávila R, et al. Telehealth system: a randomized controlled trial evaluating the impact of an internet-based exercise intervention on quality of life, pain, muscle strength, and fatigue in breast cancer survivors. Cancer 2016 Oct 15;122(20):3166-3174 [FREE Full text] [CrossRef] [Medline]
- Galvão DA, Newton RU, Girgis A, Lepore SJ, Stiller A, Mihalopoulos C, et al. Randomized controlled trial of a peer led multimodal intervention for men with prostate cancer to increase exercise participation. Psychooncology 2018 Jan;27(1):199-207. [CrossRef] [Medline]
- Gehring K, Kloek CJ, Aaronson NK, Janssen KW, Jones LW, Sitskoorn MM, et al. Feasibility of a home-based exercise intervention with remote guidance for patients with stable grade II and III gliomas: a pilot randomized controlled trial. Clin Rehabil 2018 Mar 08;32(3):352-366 [FREE Full text] [CrossRef] [Medline]
- Gell NM, Grover KW, Savard L, Dittus K. Outcomes of a text message, Fitbit, and coaching intervention on physical activity maintenance among cancer survivors: a randomized control pilot trial. J Cancer Surviv 2020 Feb;14(1):80-88. [CrossRef] [Medline]
- Ghanbari E, Yektatalab S, Mehrabi M. Effects of psychoeducational interventions using mobile apps and mobile-based online group discussions on anxiety and self-esteem in women with breast cancer: randomized controlled trial. JMIR Mhealth Uhealth 2021 May 18;9(5):e19262 [FREE Full text] [CrossRef] [Medline]
- Giesler JM, Keller B, Repke T, Leonhart R, Weis J, Muckelbauer R, et al. Effect of a website that presents patients' experiences on self-efficacy and patient competence of colorectal cancer patients: web-based randomized controlled trial. J Med Internet Res 2017 Oct 13;19(10):e334 [FREE Full text] [CrossRef] [Medline]
- Gnagnarella P, Misotti AM, Santoro L, Akoumianakis D, Del Campo L, De Lorenzo F, et al. Nutritional online information for cancer patients: a randomized trial of an internet communication plus social media intervention. J Cancer Educ 2016 Sep 31;31(3):472-480. [CrossRef] [Medline]
- Golsteijn RHJ, Bolman C, Volders E, Peels DA, de Vries H, Lechner L. Short-term efficacy of a computer-tailored physical activity intervention for prostate and colorectal cancer patients and survivors: a randomized controlled trial. Int J Behav Nutr Phys Act 2018 Oct 30;15(1):106 [FREE Full text] [CrossRef] [Medline]
- Gomersall SR, Skinner TL, Winkler E, Healy GN, Eakin E, Fjeldsoe B. Feasibility, acceptability and efficacy of a text message-enhanced clinical exercise rehabilitation intervention for increasing 'whole-of-day' activity in people living with and beyond cancer. BMC Public Health 2019 Jun 03;19(Suppl 2):542 [FREE Full text] [CrossRef] [Medline]
- Gornick MC, Kurian AW, An LC, Fagerlin A, Jagsi R, Katz SJ, et al. Knowledge regarding and patterns of genetic testing in patients newly diagnosed with breast cancer participating in the iCanDecide trial. Cancer 2018 Oct 15;124(20):4000-4009 [FREE Full text] [CrossRef] [Medline]
- Graetz I, McKillop CN, Stepanski E, Vidal GA, Anderson JN, Schwartzberg LS. Use of a web-based app to improve breast cancer symptom management and adherence for aromatase inhibitors: a randomized controlled feasibility trial. J Cancer Surviv 2018 Aug 28;12(4):431-440 [FREE Full text] [CrossRef] [Medline]
- Greer JA, Jacobs J, Pensak N, MacDonald JJ, Fuh CX, Perez GK, et al. Randomized trial of a tailored cognitive-behavioral therapy mobile application for anxiety in patients with incurable cancer. Oncologist 2019 Aug 25;24(8):1111-1120 [FREE Full text] [CrossRef] [Medline]
- Greer JA, Jacobs JM, Pensak N, Nisotel LE, Fishbein JN, MacDonald JJ, et al. Randomized Trial of a Smartphone Mobile App to Improve Symptoms and Adherence to Oral Therapy for Cancer. J Natl Compr Canc Netw 2020 Feb;18(2):133-141. [CrossRef] [Medline]
- Greer S, Ramo D, Chang Y, Fu M, Moskowitz J, Haritatos J. Use of the chatbot "Vivibot" to deliver positive psychology skills and promote well-being among young people after cancer treatment: randomized controlled feasibility trial. JMIR Mhealth Uhealth 2019 Oct 31;7(10):e15018 [FREE Full text] [CrossRef] [Medline]
- Gustafson DH, DuBenske LL, Namkoong K, Hawkins R, Chih M, Atwood AK, et al. An eHealth system supporting palliative care for patients with non-small cell lung cancer: a randomized trial. Cancer 2013 May 01;119(9):1744-1751 [FREE Full text] [CrossRef] [Medline]
- Haggerty AF, Huepenbecker S, Sarwer DB, Spitzer J, Raggio G, Chu CS, et al. The use of novel technology-based weight loss interventions for obese women with endometrial hyperplasia and cancer. Gynecol Oncol 2016 Feb;140(2):239-244 [FREE Full text] [CrossRef] [Medline]
- Handa S, Okuyama H, Yamamoto H, Nakamura S, Kato Y. Effectiveness of a smartphone application as a support tool for patients undergoing breast cancer chemotherapy: a randomized controlled trial. Clin Breast Cancer 2020 Jun;20(3):201-208. [CrossRef] [Medline]
- Hardcastle SJ, Maxwell-Smith C, Hince D, Bulsara MK, Boyle T, Tan P, et al. The wearable activity technology and action-planning trial in cancer survivors: physical activity maintenance post-intervention. J Sci Med Sport 2021 Sep;24(9):902-907. [CrossRef] [Medline]
- Hawkins RP, Pingree S, Baker TB, Roberts LJ, Shaw BR, McDowell H, et al. Integrating eHealth with human services for breast cancer patients. Transl Behav Med 2011 Mar 15;1(1):146-154 [FREE Full text] [CrossRef] [Medline]
- Hawkins RP, Pingree S, Van Bogaert D, McDowell H, Jarrard D, Carmack C, et al. The impact of combining human and online supportive resources for prostate cancer patients. J Community Supportive Oncol 2017 Nov 01;15(1):e321-e329. [CrossRef]
- Hershman DL, Unger JM, Hillyer GC, Moseley A, Arnold KB, Dakhil SR, et al. Randomized trial of text messaging to reduce early discontinuation of adjuvant aromatase inhibitor therapy in women with early-stage breast cancer: SWOG S1105. J Clin Oncol 2020 Jul 01;38(19):2122-2129. [CrossRef]
- Holtdirk F, Mehnert A, Weiss M, Mayer J, Meyer BR, Bröde P, et al. Results of the Optimune trial: a randomized controlled trial evaluating a novel internet intervention for breast cancer survivors. PLoS One 2021 May 7;16(5):e0251276 [FREE Full text] [CrossRef] [Medline]
- Hou IC, Lin HY, Shen SH, Chang KJ, Tai HC, Tsai AJ, et al. Quality of life of women after a first diagnosis of breast cancer using a self-management support mHealth app in Taiwan: randomized controlled trial. JMIR Mhealth Uhealth 2020 Mar 04;8(3):e17084 [FREE Full text] [CrossRef] [Medline]
- Høybye MT, Dalton SO, Deltour I, Bidstrup PE, Frederiksen K, Johansen C. Effect of internet peer-support groups on psychosocial adjustment to cancer: a randomised study. Br J Cancer 2010 Apr 27;102(9):1348-1354 [FREE Full text] [CrossRef] [Medline]
- Huang CC, Kuo HP, Lin YE, Chen SC. Effects of a web-based health education program on quality of life and symptom distress of initially diagnosed advanced non-small cell lung cancer patients: a randomized controlled trial. J Cancer Educ 2019 Feb;34(1):41-49. [CrossRef] [Medline]
- Im EO, Kim S, Lee C, Chee E, Mao JJ, Chee W. Decreasing menopausal symptoms of Asian American breast cancer survivors through a technology-based information and coaching/support program. Menopause 2019 Apr;26(4):373-382 [FREE Full text] [CrossRef] [Medline]
- Irene Su H, Stark S, Kwan B, Boles S, Chingos D, Ehren J, et al. Efficacy of a web-based women's health survivorship care plan for young breast cancer survivors: a randomized controlled trial. Breast Cancer Res Treat 2019 Aug;176(3):579-589 [FREE Full text] [CrossRef] [Medline]
- Ji W, Kwon H, Lee S, Kim S, Hong JS, Park YR, et al. Mobile health management platform-based pulmonary rehabilitation for patients with non-small cell lung cancer: prospective clinical trial. JMIR Mhealth Uhealth 2019 Jun 21;7(6):e12645 [FREE Full text] [CrossRef] [Medline]
- Jim HSL, Hyland KA, Nelson AM, Pinilla-Ibarz J, Sweet K, Gielissen M, et al. Internet-assisted cognitive behavioral intervention for targeted therapy-related fatigue in chronic myeloid leukemia: results from a pilot randomized trial. Cancer 2020 Jan 01;126(1):174-180 [FREE Full text] [CrossRef] [Medline]
- Jolly TA, Deal AM, Mariano C, Markowski N, Kirk S, Perlmutt MS, et al. A randomized trial of real-time geriatric assessment reporting in nonelectively hospitalized older adults with cancer. Oncologist 2020 Jun;25(6):488-496 [FREE Full text] [CrossRef] [Medline]
- Joo SC, Navidian A, Sharifi S. Evaluating the effectiveness of planned discharge program in the quality of life of gastrointestinal cancer patients undergoing chemotherapy: a clinical trial study. Med Surg Nurs J 2020 May 10;9(1):e101442. [CrossRef]
- Kanera IM, Bolman CA, Willems RA, Mesters I, Lechner L. Lifestyle-related effects of the web-based Kanker Nazorg Wijzer (Cancer Aftercare Guide) intervention for cancer survivors: a randomized controlled trial. J Cancer Surviv 2016 Oct;10(5):883-897 [FREE Full text] [CrossRef] [Medline]
- Kanera IM, Willems RA, Bolman CAW, Mesters I, Verboon P, Lechner L. Long-term effects of a web-based cancer aftercare intervention on moderate physical activity and vegetable consumption among early cancer survivors: a randomized controlled trial. Int J Behav Nutr Phys Act 2017 Feb 10;14(1):19 [FREE Full text] [CrossRef] [Medline]
- Kearney N, McCann L, Norrie J, Taylor L, Gray P, McGee-Lennon M, et al. Evaluation of a mobile phone-based, advanced symptom management system (ASyMS) in the management of chemotherapy-related toxicity. Support Care Cancer 2009 Apr;17(4):437-444. [CrossRef] [Medline]
- Kekäle M, Söderlund T, Koskenvesa P, Talvensaari K, Airaksinen M. Impact of tailored patient education on adherence of patients with chronic myeloid leukaemia to tyrosine kinase inhibitors: a randomized multicentre intervention study. J Adv Nurs 2016 Sep;72(9):2196-2206. [CrossRef] [Medline]
- Kenfield SA, Van Blarigan EL, Ameli N, Lavaki E, Cedars B, Paciorek AT, et al. Feasibility, acceptability, and behavioral outcomes from a technology-enhanced behavioral change intervention (prostate 8): a pilot randomized controlled trial in men with prostate cancer. Eur Urol 2019 Jun;75(6):950-958. [CrossRef] [Medline]
- Kesler S, Hadi Hosseini SM, Heckler C, Janelsins M, Palesh O, Mustian K, et al. Cognitive training for improving executive function in chemotherapy-treated breast cancer survivors. Clin Breast Cancer 2013 Aug;13(4):299-306 [FREE Full text] [CrossRef] [Medline]
- Kim HJ, Kim SM, Shin H, Jang JS, Kim YI, Han DH. A mobile game for patients with breast cancer for chemotherapy self-management and quality-of-life improvement: randomized controlled trial. J Med Internet Res 2018 Oct 29;20(10):e273 [FREE Full text] [CrossRef] [Medline]
- Kim SC, Hawkins RP, Shah DV, Gustafson DH, Baker TB. Understanding how e-health interventions meet psychosocial needs of breast cancer patients: the pathways of influence on quality of life and cancer concerns. Psychooncology 2020 Oct;29(10):1704-1712. [CrossRef] [Medline]
- Knoerl R, Smith EML, Barton DL, Williams DA, Holden JE, Krauss JC, et al. Self-guided online cognitive behavioral strategies for chemotherapy-induced peripheral neuropathy: a multicenter, pilot, randomized, wait-list controlled trial. J Pain 2018 Apr;19(4):382-394. [CrossRef] [Medline]
- Kolb NA, Smith AG, Singleton JR, Beck SL, Howard D, Dittus K, et al. Chemotherapy-related neuropathic symptom management: a randomized trial of an automated symptom-monitoring system paired with nurse practitioner follow-up. Support Care Cancer 2018 May;26(5):1607-1615. [CrossRef] [Medline]
- Kong S, Lee JK, Kang D, Kim N, Shim YM, Park W, et al. Comparing the effectiveness of a wearable activity tracker in addition to counseling and counseling only to reinforce leisure-time physical activity among breast cancer patients: a randomized controlled trial. Cancers (Basel) 2021 May 30;13(11):2692 [FREE Full text] [CrossRef] [Medline]
- Korkmaz S, Iyigun E, Tastan S. An evaluation of the influence of web-based patient education on the anxiety and life quality of patients who have undergone mammaplasty: a randomized controlled study. J Cancer Educ 2020 Oct 22;35(5):912-922. [CrossRef] [Medline]
- Krebs P, Burkhalter J, Fiske J, Snow H, Schofield E, Iocolano M, et al. The QuitIT coping skills game for promoting tobacco cessation among smokers diagnosed with cancer: pilot randomized controlled trial. JMIR Mhealth Uhealth 2019 Jan 10;7(1):e10071 [FREE Full text] [CrossRef] [Medline]
- Kroenke K, Theobald D, Wu J, Norton K, Morrison G, Carpenter J, et al. Effect of telecare management on pain and depression in patients with cancer: a randomized trial. JAMA 2010 Jul 14;304(2):163-171 [FREE Full text] [CrossRef] [Medline]
- Kubo A, Kurtovich E, McGinnis M, Aghaee S, Altschuler A, Quesenberry C, et al. A randomized controlled trial of mHealth mindfulness intervention for cancer patients and informal cancer caregivers: a feasibility study within an integrated health care delivery system. Integr Cancer Ther 2019 May 16;18:1534735419850634 [FREE Full text] [CrossRef] [Medline]
- Lally RM, Kupzyk KA, Bellavia G, Hydeman J, Gallo S, Helgeson VS, et al. CaringGuidance™ after breast cancer diagnosis eHealth psychoeducational intervention to reduce early post-diagnosis distress. Support Care Cancer 2020 May 14;28(5):2163-2174 [FREE Full text] [CrossRef] [Medline]
- Lee BJ, Park YH, Lee JY, Kim SJ, Jang Y, Lee JI. Smartphone application versus pedometer to promote physical activity in prostate cancer patients. Telemed J E Health 2019 Dec;25(12):1231-1236. [CrossRef] [Medline]
- Lepore SJ, Buzaglo JS, Lieberman MA, Golant M, Greener JR, Davey A. Comparing standard versus prosocial internet support groups for patients with breast cancer: a randomized controlled trial of the helper therapy principle. J Clin Oncol 2014 Dec 20;32(36):4081-4086 [FREE Full text] [CrossRef] [Medline]
- Li L, Wang L, Sun Q, Xiao P, Duan Y, Liu X, et al. Effect of two interventions on sleep quality for adolescent and young adult cancer survivors: a pilot randomized controlled trial. Cancer Nurs 2022 Apr 21;45(2):E560-E572. [CrossRef] [Medline]
- Livingston PM, Heckel L, Orellana L, Ashley D, Ugalde A, Botti M, et al. Outcomes of a randomized controlled trial assessing a smartphone Application to reduce unmet needs among people diagnosed with CancEr (ACE). Cancer Med 2020 Jan;9(2):507-516 [FREE Full text] [CrossRef] [Medline]
- Lleras de Frutos M, Medina JC, Vives J, Casellas-Grau A, Marzo JL, Borràs JM, et al. Video conference vs face-to-face group psychotherapy for distressed cancer survivors: a randomized controlled trial. Psychooncology 2020 Dec 07;29(12):1995-2003. [CrossRef] [Medline]
- Longacre CF, Nyman JA, Visscher SL, Borah BJ, Cheville AL. Cost-effectiveness of the Collaborative Care to Preserve Performance in Cancer (COPE) trial tele-rehabilitation interventions for patients with advanced cancers. Cancer Med 2020 Apr 23;9(8):2723-2731 [FREE Full text] [CrossRef] [Medline]
- Lozano-Lozano M, Martín-Martín L, Galiano-Castillo N, Fernández-Lao C, Cantarero-Villanueva I, López-Barajas IB, et al. Mobile health and supervised rehabilitation versus mobile health alone in breast cancer survivors: randomized controlled trial. Ann Phys Rehabil Med 2020 Jul;63(4):316-324 [FREE Full text] [CrossRef] [Medline]
- Lynch BM, Nguyen NH, Moore MM, Reeves MM, Rosenberg DE, Boyle T, et al. A randomized controlled trial of a wearable technology-based intervention for increasing moderate to vigorous physical activity and reducing sedentary behavior in breast cancer survivors: the ACTIVATE Trial. Cancer 2019 Aug 15;125(16):2846-2855 [FREE Full text] [CrossRef] [Medline]
- Lynch C, Bird S, Barnett F, Lythgo N, Selva-Raj I. Improving the physical activity of breast cancer survivors through fitness trackers. In: Studies in Health Technology and Informatics. Amsterdam, Netherlands: IOS Press; 2021.
- Lyu KX, Zhao J, Wang B, Xiong GX, Yang WQ, Liu QH, et al. Smartphone application WeChat for clinical follow-up of discharged patients with head and neck tumors: a randomized controlled trial. Chin Med J (Engl) 2016 Dec 05;129(23):2816-2823 [FREE Full text] [CrossRef] [Medline]
- Manne SL, Topham N, D'Agostino TA, Myers Virtue S, Kirstein L, Brill K, et al. Acceptability and pilot efficacy trial of a web-based breast reconstruction decision support aid for women considering mastectomy. Psychooncology 2016 Dec;25(12):1424-1433. [CrossRef] [Medline]
- Maxwell-Smith C, Hince D, Cohen PA, Bulsara MK, Boyle T, Platell C, et al. A randomized controlled trial of WATAAP to promote physical activity in colorectal and endometrial cancer survivors. Psychooncology 2019 Jul 26;28(7):1420-1429. [CrossRef] [Medline]
- Mayer DK, Landucci G, Awoyinka L, Atwood AK, Carmack CL, Demark-Wahnefried W, et al. SurvivorCHESS to increase physical activity in colon cancer survivors: can we get them moving? J Cancer Surviv 2018 Feb 9;12(1):82-94 [FREE Full text] [CrossRef] [Medline]
- Meropol NJ, Egleston BL, Buzaglo JS, Balshem A, Benson AB, Cegala DJ, et al. A Web-based communication aid for patients with cancer: the CONNECT Study. Cancer 2013 Apr 01;119(7):1437-1445 [FREE Full text] [CrossRef] [Medline]
- Meropol NJ, Wong YN, Albrecht T, Manne S, Miller SM, Flamm AL, et al. Randomized trial of a web-based intervention to address barriers to clinical trials. J Clin Oncol 2016 Feb 10;34(5):469-478 [FREE Full text] [CrossRef] [Medline]
- Mihuta ME, Green HJ, Shum DHK. Web-based cognitive rehabilitation for survivors of adult cancer: a randomised controlled trial. Psychooncology 2018 Apr 15;27(4):1172-1179. [CrossRef] [Medline]
- Milbury K, Weathers SP, Durrani S, Li Y, Whisenant M, Li J, et al. Online couple-based meditation intervention for patients with primary or metastatic brain tumors and their partners: results of a pilot randomized controlled trial. J Pain Symptom Manage 2020 Jun;59(6):1260-1267. [CrossRef] [Medline]
- Millstine DM, Bhagra A, Jenkins SM, Croghan IT, Stan DL, Boughey JC, et al. Use of a wearable EEG headband as a meditation device for women with newly diagnosed breast cancer: a randomized controlled trial. Integr Cancer Ther 2019 Sep 30;18:1534735419878770 [FREE Full text] [CrossRef] [Medline]
- Mooney KH, Beck SL, Friedman RH, Farzanfar R, Wong B. Automated monitoring of symptoms during ambulatory chemotherapy and oncology providers' use of the information: a randomized controlled clinical trial. Support Care Cancer 2014 Sep 1;22(9):2343-2350 [FREE Full text] [CrossRef] [Medline]
- Mooney KH, Beck SL, Wong B, Dunson W, Wujcik D, Whisenant M, et al. Automated home monitoring and management of patient-reported symptoms during chemotherapy: results of the symptom care at home RCT. Cancer Med 2017 Mar;6(3):537-546 [FREE Full text] [CrossRef] [Medline]
- Murphy MJ, Newby JM, Butow P, Loughnan SA, Joubert AE, Kirsten L, et al. Randomised controlled trial of internet-delivered cognitive behaviour therapy for clinical depression and/or anxiety in cancer survivors (iCanADAPT Early). Psychooncology 2020 Jan 12;29(1):76-85. [CrossRef] [Medline]
- Nguyen MH, Smets EM, Bol N, Loos EF, van Laarhoven HW, Geijsen D, et al. Tailored web-based information for younger and older patients with cancer: randomized controlled trial of a preparatory educational intervention on patient outcomes. J Med Internet Res 2019 Oct 01;21(10):e14407 [FREE Full text] [CrossRef] [Medline]
- Nguyen NH, Vallance JK, Buman MP, Moore MM, Reeves MM, Rosenberg DE, et al. Effects of a wearable technology-based physical activity intervention on sleep quality in breast cancer survivors: the ACTIVATE Trial. J Cancer Surviv 2021 Apr 01;15(2):273-280. [CrossRef] [Medline]
- Nicolaije KAH, Ezendam NPM, Vos MC, Pijnenborg JMA, Boll D, Boss EA, et al. Impact of an automatically generated cancer survivorship care plan on patient-reported outcomes in routine clinical practice: longitudinal outcomes of a pragmatic, cluster randomized trial. J Clin Oncol 2015 Nov 01;33(31):3550-3559. [CrossRef] [Medline]
- Ormel HL, van der Schoot GGF, Westerink NDL, Sluiter WJ, Gietema JA, Walenkamp AM. Self-monitoring physical activity with a smartphone application in cancer patients: a randomized feasibility study (SMART-trial). Support Care Cancer 2018 Nov;26(11):3915-3923 [FREE Full text] [CrossRef] [Medline]
- Osei DK, Lee JW, Modest NN, Pothier PK. Effects of an online support group for prostate cancer survivors: a randomized trial. Soc Urol Nurse Associates 2013;33(3):123. [CrossRef]
- Owen JE, Klapow JC, Roth DL, Shuster Jr JL, Bellis J, Meredith R, et al. Randomized pilot of a self-guided internet coping group for women with early-stage breast cancer. Ann Behav Med 2005 Aug;30(1):54-64. [CrossRef] [Medline]
- Owen JE, O'Carroll Bantum E, Pagano IS, Stanton A. Randomized trial of a social networking intervention for cancer-related distress. Ann Behav Med 2017 Oct 27;51(5):661-672 [FREE Full text] [CrossRef] [Medline]
- Oyama H, Kaneda M, Katsumata N, Akechi T, Ohsuga M. Using the bedside wellness system during chemotherapy decreases fatigue and emesis in cancer patients. J Med Syst 2000 Jun;24(3):173-182. [CrossRef] [Medline]
- Penedo FJ, Fox RS, Walsh EA, Yanez B, Miller GE, Oswald LB, et al. Effects of web-based cognitive behavioral stress management and health promotion interventions on neuroendocrine and inflammatory markers in men with advanced prostate cancer: a randomized controlled trial. Brain Behav Immun 2021 Jul;95:168-177 [FREE Full text] [CrossRef] [Medline]
- Peng Z, Li L, Chen Y, Feng Z, Fang X. WeChat app-based reinforced education improves the quality of opioid titration treatment of cancer-related pain in outpatients: a randomized control study. BMC Cancer 2020 Sep 04;20(1):852 [FREE Full text] [CrossRef] [Medline]
- Pfeifer MP, Keeney C, Bumpous J, Schapmire TJ, Studts JL, Myers J, et al. Impact of a telehealth intervention on quality of life and symptom distress in patients with head and neck cancer. J Community Support Oncol 2015 Jan;13(1):14-21 [FREE Full text] [CrossRef] [Medline]
- Politi M, Lee CN, Philpott-Streiff SE, Foraker RE, Olsen MA, Merrill C, et al. A randomized controlled trial evaluating the BREASTChoice tool for personalized decision support about breast reconstruction after mastectomy. Ann Surg 2020 Feb;271(2):230-237. [CrossRef] [Medline]
- Porter LS, Gao X, Lyna P, Kraus W, Olsen M, Patterson E, et al. Pilot randomized trial of a couple-based physical activity videoconference intervention for sedentary cancer survivors. Health Psychol 2018 Sep;37(9):861-865. [CrossRef] [Medline]
- Post DM, Shapiro CL, Cegala DJ, David P, Katz ML, Krok JL, et al. Improving symptom communication through personal digital assistants: the CHAT (Communicating Health Assisted by Technology) project. J Natl Cancer Inst Monogr 2013 Dec;2013(47):153-161 [FREE Full text] [CrossRef] [Medline]
- Rabin C, Dunsiger S, Ness KK, Marcus BH. Internet-based physical activity intervention targeting young adult cancer survivors. J Adolesc Young Adult Oncol 2011 Dec;1(4):188-194 [FREE Full text] [CrossRef] [Medline]
- Rico TM, Dos Santos Machado K, Fernandes VP, Madruga SW, Santin MM, Petrarca CR, et al. Use of text messaging (SMS) for the management of side effects in cancer patients undergoing chemotherapy treatment: a randomized controlled trial. J Med Syst 2020 Sep 30;44(11):193 [FREE Full text] [CrossRef] [Medline]
- Ridner SH, Dietrich MS, Davis AJ, Sinclair V. A randomized clinical trial comparing the impact of a web-based multimedia intervention versus an educational pamphlet on patient outcomes in breast cancer survivors with chronic secondary lymphedema. J Womens Health (Larchmt) 2020 May;29(5):734-744 [FREE Full text] [CrossRef] [Medline]
- Ritterband LM, Bailey ET, Thorndike FP, Lord HR, Farrell-Carnahan L, Baum LD. Initial evaluation of an internet intervention to improve the sleep of cancer survivors with insomnia. Psychooncology 2012 Jul;21(7):695-705 [FREE Full text] [CrossRef] [Medline]
- Rojas EO, Anthony CA, Kain J, Glass N, Shah A, Smith T, et al. Automated mobile phone messaging utilizing a cognitive behavioral intervention: a pilot investigation. Iowa Orthop J 2019;39(2):85-91 [FREE Full text] [Medline]
- Ruland CM, Andersen T, Jeneson A, Moore S, Grimsbø GH, Børøsund E, et al. Effects of an internet support system to assist cancer patients in reducing symptom distress: a randomized controlled trial. Cancer Nurs 2013;36(1):6-17. [CrossRef] [Medline]
- Ruland CM, Holte HH, Røislien J, Heaven C, Hamilton GA, Kristiansen J, et al. Effects of a computer-supported interactive tailored patient assessment tool on patient care, symptom distress, and patients' need for symptom management support: a randomized clinical trial. J Am Med Inform Assoc 2010;17(4):403-410 [FREE Full text] [CrossRef] [Medline]
- Russell L, Ugalde A, Orellana L, Milne D, Krishnasamy M, Chambers R, et al. A pilot randomised controlled trial of an online mindfulness-based program for people diagnosed with melanoma. Support Care Cancer 2019 Jul 30;27(7):2735-2746. [CrossRef] [Medline]
- Ryhänen AM, Rankinen S, Siekkinen M, Saarinen M, Korvenranta H, Leino-Kilpi H. The impact of an empowering Internet-based Breast Cancer Patient Pathway programme on breast cancer patients' knowledge: a randomised control trial. Patient Educ Couns 2012 Aug;88(2):224-231. [CrossRef] [Medline]
- Salzer MS, Palmer SC, Kaplan K, Brusilovskiy E, Ten Have T, Hampshire M, et al. A randomized, controlled study of Internet peer-to-peer interactions among women newly diagnosed with breast cancer. Psychooncology 2010 Apr;19(4):441-446. [CrossRef] [Medline]
- Sansom-Daly UM, Wakefield CE, Ellis SJ, McGill BC, Donoghoe MW, Butow P, et al. Online, group-based psychological support for adolescent and young adult cancer survivors: results from the recapture life randomized trial. Cancers (Basel) 2021 May 18;13(10):2460 [FREE Full text] [CrossRef] [Medline]
- Schover LR, Yuan Y, Fellman BM, Odensky E, Lewis PE, Martinetti P. Efficacy trial of an Internet-based intervention for cancer-related female sexual dysfunction. J Natl Compr Canc Netw 2013 Nov 13;11(11):1389-1397 [FREE Full text] [CrossRef] [Medline]
- Schwartz AL, Biddle-Newberry M, de Heer HD. Randomized trial of exercise and an online recovery tool to improve rehabilitation outcomes of cancer survivors. Phys Sportsmed 2015 May;43(2):143-149 [FREE Full text] [CrossRef] [Medline]
- Schwartz LA, Daniel LC, Henry-Moss D, Bonafide CP, Li Y, Psihogios AM, et al. Feasibility and acceptability of a pilot tailored text messaging intervention for adolescents and young adults completing cancer treatment. Psychooncology 2020 Jan;29(1):164-172. [CrossRef] [Medline]
- Schwenk M, Grewal GS, Holloway D, Muchna A, Garland L, Najafi B. Interactive sensor-based balance training in older cancer patients with chemotherapy-induced peripheral neuropathy: a randomized controlled trial. Gerontology 2016 Dec 18;62(5):553-563 [FREE Full text] [CrossRef] [Medline]
- Sherman KA, Przezdziecki A, Alcorso J, Kilby CJ, Elder E, Boyages J, et al. Reducing body image-related distress in women with breast cancer using a structured online writing exercise: results from the my changed body randomized controlled trial. J Clin Oncol 2018 Jul 01;36(19):1930-1940. [CrossRef] [Medline]
- Siekkinen M, Kesänen J, Vahlberg T, Pyrhönen S, Leino-Kilpi H. Randomized, controlled trial of the effect of e-feedback on knowledge about radiotherapy of breast cancer patients in Finland. Nurs Health Sci 2015 Mar 23;17(1):97-104. [CrossRef] [Medline]
- Siekkinen M, Pyrhönen S, Ryhänen A, Vahlberg T, Leino-Kilpi H. Psychosocial outcomes of e-feedback of radiotherapy for breast cancer patients: a randomized controlled trial. Psychooncology 2015 May 19;24(5):515-522. [CrossRef] [Medline]
- Smith SK, MacDermott K, Amarasekara S, Pan W, Mayer D, Hockenberry M. Reimagine: a randomized controlled trial of an online, symptom self-management curriculum among breast cancer survivors. Support Care Cancer 2019 May 27;27(5):1775-1781. [CrossRef] [Medline]
- Smith SK, Westbrook K, MacDermott K, Amarasekara S, LeBlanc M, Pan W. Four conversations: a randomized controlled trial of an online, personalized coping and decision aid for metastatic breast cancer patients. J Palliat Med 2020 Mar 01;23(3):353-358. [CrossRef] [Medline]
- Song L, Guo P, Tan X, Chen RC, Nielsen ME, Birken SA, et al. Enhancing survivorship care planning for patients with localized prostate cancer using a couple-focused web-based, mHealth program: the results of a pilot feasibility study. J Cancer Surviv 2021 Feb 17;15(1):99-108 [FREE Full text] [CrossRef] [Medline]
- Spahrkäs SS, Looijmans A, Sanderman R, Hagedoorn M. Beating cancer-related fatigue with the Untire mobile app: results from a waiting-list randomized controlled trial. Psychooncology 2020 Nov;29(11):1823-1834 [FREE Full text] [CrossRef] [Medline]
- Spoelstra SL, Given BA, Given CW, Grant M, Sikorskii A, You M, et al. An intervention to improve adherence and management of symptoms for patients prescribed oral chemotherapy agents: an exploratory study. Cancer Nurs 2013;36(1):18-28. [CrossRef] [Medline]
- Spoelstra SL, Given CW, Sikorskii A, Coursaris CK, Majumder A, DeKoekkoek T, et al. Feasibility of a text messaging intervention to promote self-management for patients prescribed oral anticancer agents. Oncol Nursing forum 2015 Nov 1;42(6):647-657. [CrossRef]
- Stankowski-Drengler TJ, Tucholka JL, Bruce JG, Steffens NM, Schumacher JR, Greenberg CC, et al. A randomized controlled trial evaluating the impact of pre-consultation information on patients' perception of information conveyed and satisfaction with the decision-making process. Ann Surg Oncol 2019 Oct;26(10):3275-3281 [FREE Full text] [CrossRef] [Medline]
- Stanton AL, Thompson EH, Crespi CM, Link JS, Waisman JR. Project connect online: randomized trial of an internet-based program to chronicle the cancer experience and facilitate communication. J Clin Oncol 2013 Sep 20;31(27):3411-3417. [CrossRef]
- Steel JL, Geller DA, Kim KH, Butterfield LH, Spring M, Grady J, et al. Web-based collaborative care intervention to manage cancer-related symptoms in the palliative care setting. Cancer 2016 Apr 15;122(8):1270-1282 [FREE Full text] [CrossRef] [Medline]
- Stevenson W, Bryant J, Watson R, Sanson-Fisher R, Oldmeadow C, Henskens F, et al. A multi-center randomized controlled trial to reduce unmet needs, depression, and anxiety among hematological cancer patients and their support persons. J Psychosoc Oncol 2020 Dec 13;38(3):272-292. [CrossRef] [Medline]
- Sturgeon KM, Dean LT, Heroux M, Kane J, Bauer T, Palmer E, et al. Commercially available lifestyle modification program: randomized controlled trial addressing heart and bone health in BRCA1/2+ breast cancer survivors after risk-reducing salpingo-oophorectomy. J Cancer Surviv 2017 Apr;11(2):246-255 [FREE Full text] [CrossRef] [Medline]
- Sui Y, Wang T, Wang X. The impact of WeChat app-based education and rehabilitation program on anxiety, depression, quality of life, loss of follow-up and survival in non-small cell lung cancer patients who underwent surgical resection. Eur J Oncol Nurs 2020 Apr;45:101707. [CrossRef] [Medline]
- Syrjala KL, Yi JC, Artherholt SB, Romano JM, Crouch ML, Fiscalini AS, et al. An online randomized controlled trial, with or without problem-solving treatment, for long-term cancer survivors after hematopoietic cell transplantation. J Cancer Surviv 2018 Aug;12(4):560-570 [FREE Full text] [CrossRef] [Medline]
- Tagai EK, Miller SM, Hudson SV, Diefenbach MA, Handorf E, Bator A, et al. Improved cancer coping from a web-based intervention for prostate cancer survivors: a randomized controlled trial. Psychooncology 2021 Sep;30(9):1466-1475 [FREE Full text] [CrossRef] [Medline]
- Tan EH, Wong ALA, Tan CC, Wong P, Tan SH, Ang LEY, et al. Improving medication adherence with adjuvant aromatase inhibitor in women with breast cancer: a randomised controlled trial to evaluate the effect of short message service (SMS) reminder. Breast 2020 Oct;53:77-84 [FREE Full text] [CrossRef] [Medline]
- Tucholka JL, Yang DY, Bruce JG, Steffens NM, Schumacher JR, Greenberg CC, et al. A randomized controlled trial evaluating the impact of web-based information on breast cancer patients' knowledge of surgical treatment options. J Am Coll Surg 2018 Feb;226(2):126-133 [FREE Full text] [CrossRef] [Medline]
- Urech C, Grossert A, Alder J, Scherer S, Handschin B, Kasenda B, et al. Web-Based Stress Management for Newly Diagnosed Patients With Cancer (STREAM): A Randomized, Wait-List Controlled Intervention Study. J Clin Oncol 2018 Mar 10;36(8):780-788 [FREE Full text] [CrossRef] [Medline]
- Vallance JK, Nguyen NH, Moore MM, Reeves MM, Rosenberg DE, Boyle T, et al. Effects of the ACTIVity And TEchnology (ACTIVATE) intervention on health-related quality of life and fatigue outcomes in breast cancer survivors. Psychooncology 2020 Jan 30;29(1):204-211. [CrossRef] [Medline]
- Valle CG, Tate DF, Mayer DK, Allicock M, Cai J. A randomized trial of a Facebook-based physical activity intervention for young adult cancer survivors. J Cancer Surviv 2013 Sep;7(3):355-368 [FREE Full text] [CrossRef] [Medline]
- Van Blarigan EL, Kenfield SA, Chan JM, Van Loon K, Paciorek A, Zhang L, et al. Feasibility and acceptability of a web-based dietary intervention with text messages for colorectal cancer: a randomized pilot trial. Cancer Epidemiol Biomarkers Prev 2020 Apr;29(4):752-760 [FREE Full text] [CrossRef] [Medline]
- van Bruinessen IR, van Weel-Baumgarten EM, Gouw H, Zijlstra JM, van Dulmen S. An integrated process and outcome evaluation of a web-based communication tool for patients with malignant lymphoma: randomized controlled trial. J Med Internet Res 2016 Jul 29;18(7):e206 [FREE Full text] [CrossRef] [Medline]
- van de Wal M, Thewes B, Gielissen M, Speckens A, Prins J. Efficacy of blended cognitive behavior therapy for high fear of recurrence in breast, prostate, and colorectal cancer survivors: the SWORD study, a randomized controlled trial. J Clin Oncol 2017 Jul 01;35(19):2173-2183. [CrossRef]
- van den Berg SW, Gielissen MFM, Custers JAE, van der Graaf WTA, Ottevanger PB, Prins JB. BREATH: web-based self-management for psychological adjustment after primary breast cancer—results of a multicenter randomized controlled trial. J Clin Oncol 2015 Sep 01;33(25):2763-2771. [CrossRef]
- van der Hout A, Jansen F, van Uden-Kraan CF, Coupé VM, Holtmaat K, Nieuwenhuijzen GA, et al. Cost-utility of an eHealth application 'Oncokompas' that supports cancer survivors in self-management: results of a randomised controlled trial. J Cancer Surviv 2021 Feb 12;15(1):77-86. [CrossRef] [Medline]
- van der Hout A, van Uden-Kraan CF, Holtmaat K, Jansen F, Lissenberg-Witte BI, Nieuwenhuijzen GAP, et al. Role of eHealth application Oncokompas in supporting self-management of symptoms and health-related quality of life in cancer survivors: a randomised, controlled trial. Lancet Oncol 2020 Jan;21(1):80-94. [CrossRef] [Medline]
- van Helmondt SJ, van der Lee ML, van Woezik RAM, Lodder P, de Vries J. No effect of CBT-based online self-help training to reduce fear of cancer recurrence: first results of the CAREST multicenter randomized controlled trial. Psychooncology 2020 Jan 13;29(1):86-97. [CrossRef] [Medline]
- Vogel RI, Niendorf K, Petzel S, Lee H, Teoh D, Blaes AH, et al. A patient-centered mobile health application to motivate use of genetic counseling among women with ovarian cancer: a pilot randomized controlled trial. Gynecol Oncol 2019 Apr;153(1):100-107. [CrossRef] [Medline]
- Vogel RI, Petzel SV, Cragg J, McClellan M, Chan D, Dickson E, et al. Development and pilot of an advance care planning website for women with ovarian cancer: a randomized controlled trial. Gynecol Oncol 2013 Nov;131(2):430-436 [FREE Full text] [CrossRef] [Medline]
- Waller E, Sutton P, Rahman S, Allen J, Saxton J, Aziz O. Prehabilitation with wearables versus standard of care before major abdominal cancer surgery: a randomised controlled pilot study (trial registration: NCT04047524). Surg Endosc 2022 Feb;36(2):1008-1017 [FREE Full text] [CrossRef] [Medline]
- White V, Farrelly A, Pitcher M, Hill D. Does access to an information-based, breast cancer specific website help to reduce distress in young women with breast cancer? Results from a randomised trial. Eur J Cancer Care (Engl) 2018 Nov;27(6):e12897. [CrossRef] [Medline]
- Wilkie DJ, Yao Y, Ezenwa MO, Suarez ML, Dyal BW, Gill A, et al. A stepped-wedge randomized controlled trial: effects of ehealth interventions for pain control among adults with cancer in hospice. J Pain Symptom Manage 2020 Mar;59(3):626-636. [CrossRef] [Medline]
- Willems RA, Bolman CAW, Mesters I, Kanera IM, Beaulen AAJM, Lechner L. Short-term effectiveness of a web-based tailored intervention for cancer survivors on quality of life, anxiety, depression, and fatigue: randomized controlled trial. Psychooncology 2017 Feb;26(2):222-230. [CrossRef] [Medline]
- Willems RA, Mesters I, Lechner L, Kanera IM, Bolman CAW. Long-term effectiveness and moderators of a web-based tailored intervention for cancer survivors on social and emotional functioning, depression, and fatigue: randomized controlled trial. J Cancer Surviv 2017 Dec 11;11(6):691-703 [FREE Full text] [CrossRef] [Medline]
- Wootten AC, Abbott JAM, Meyer D, Chisholm K, Austin DW, Klein B, et al. Preliminary results of a randomised controlled trial of an online psychological intervention to reduce distress in men treated for localised prostate cancer. Eur Urol 2015 Sep;68(3):471-479. [CrossRef] [Medline]
- Wu LM, Amidi A, Tanenbaum ML, Winkel G, Gordon WA, Hall SJ, et al. Computerized cognitive training in prostate cancer patients on androgen deprivation therapy: a pilot study. Support Care Cancer 2018 Jun 27;26(6):1917-1926 [FREE Full text] [CrossRef] [Medline]
- Xia L. The effects of continuous care model of information-based hospital-family integration on colostomy patients: a randomized controlled trial. J Cancer Educ 2020 Apr 26;35(2):301-311. [CrossRef] [Medline]
- Yount SE, Rothrock N, Bass M, Beaumont JL, Pach D, Lad T, et al. A randomized trial of weekly symptom telemonitoring in advanced lung cancer. J Pain Symptom Manage 2014 Jun;47(6):973-989 [FREE Full text] [CrossRef] [Medline]
- Yun YH, Lee KS, Kim YW, Park SY, Lee ES, Noh DY, et al. Web-based tailored education program for disease-free cancer survivors with cancer-related fatigue: a randomized controlled trial. J Clin Oncol 2012 Apr 20;30(12):1296-1303. [CrossRef]
- Yun YH, Lim CI, Lee ES, Kim YT, Shin KH, Kim YW, et al. Efficacy of health coaching and a web-based program on physical activity, weight, and distress management among cancer survivors: a multi-centered randomised controlled trial. Psychooncology 2020 Jul;29(7):1105-1114. [CrossRef] [Medline]
- Zachariae R, Amidi A, Damholdt MF, Clausen CDR, Dahlgaard J, Lord H, et al. Internet-delivered cognitive-behavioral therapy for insomnia in breast cancer survivors: a randomized controlled trial. J Natl Cancer Inst 2018 Aug 01;110(8):880-887 [FREE Full text] [CrossRef] [Medline]
- Zamorano AS, Wilson EM, Liu J, Leon A, Kuroki LM, Thaker PH, et al. Text-message-based behavioral weight loss for endometrial cancer survivors with obesity: a randomized controlled trial. Gynecol Oncol 2021 Sep;162(3):770-777. [CrossRef] [Medline]
- Zhang Q, Li F, Zhang H, Yu X, Cong Y. Int J Nurs Stud 2018 Feb;78:52-60. [CrossRef] [Medline]
- Zhou K, Wang W, Zhao W, Li L, Zhang M, Guo P, et al. Benefits of a WeChat-based multimodal nursing program on early rehabilitation in postoperative women with breast cancer: a clinical randomized controlled trial. Int J Nurs Stud 2020 Jun;106:103565. [CrossRef] [Medline]
- Anderson KO, Palos GR, Mendoza TR, Cleeland CS, Liao KP, Fisch MJ, et al. Automated pain intervention for underserved minority women with breast cancer. Cancer 2015 Jun 01;121(11):1882-1890 [FREE Full text] [CrossRef] [Medline]
- Bantum EO, Albright CL, White KK, Berenberg JL, Layi G, Ritter PL, et al. Surviving and thriving with cancer using a web-based health behavior change intervention: randomized controlled trial. J Med Internet Res 2014 Feb 24;16(2):e54 [FREE Full text] [CrossRef] [Medline]
- Basch E, Deal AM, Dueck AC, Scher HI, Kris MG, Hudis C, et al. Overall survival results of a trial assessing patient-reported outcomes for symptom monitoring during routine cancer treatment. JAMA 2017 Jul 11;318(2):197-198 [FREE Full text] [CrossRef] [Medline]
- Berg CJ, Vanderpool RC, Getachew B, Payne JB, Johnson MF, Sandridge Y, et al. A hope-based intervention to address disrupted goal pursuits and quality of life among young adult cancer survivors. J Cancer Educ 2020 Dec 11;35(6):1158-1169 [FREE Full text] [CrossRef] [Medline]
- Berry DL, Halpenny B, Hong F, Wolpin S, Lober WB, Russell KJ, et al. The Personal Patient Profile-Prostate decision support for men with localized prostate cancer: a multi-center randomized trial. Urol Oncol 2013 Oct;31(7):1012-1021 [FREE Full text] [CrossRef] [Medline]
- Choi Yoo SJ, Nyman JA, Cheville AL, Kroenke K. Cost effectiveness of telecare management for pain and depression in patients with cancer: results from a randomized trial. Gen Hosp Psychiatry 2014;36(6):599-606 [FREE Full text] [CrossRef] [Medline]
- Denis F, Yossi S, Septans AL, Charron A, Voog E, Dupuis O, et al. Improving survival in patients treated for a lung cancer using self-evaluated symptoms reported through a web application. Am J Clin Oncol 2017 Oct;40(5):464-469. [CrossRef] [Medline]
- Diefenbach MA, Mohamed NE, Butz BP, Bar-Chama N, Stock R, Cesaretti J, et al. Acceptability and preliminary feasibility of an internet/CD-ROM-based education and decision program for early-stage prostate cancer patients: randomized pilot study. J Med Internet Res 2012 Jan 13;14(1):e6 [FREE Full text] [CrossRef] [Medline]
- Ehrbar V, Urech C, Rochlitz C, Zanetti Dällenbach R, Moffat R, Stiller R, et al. Randomized controlled trial on the effect of an online decision aid for young female cancer patients regarding fertility preservation. Hum Reprod 2019 Sep 29;34(9):1726-1734. [CrossRef] [Medline]
- Forbes CC, Blanchard CM, Mummery WK, Courneya KS. Feasibility and preliminary efficacy of an online intervention to increase physical activity in nova scotian cancer survivors: a randomized controlled trial. JMIR Cancer 2015 Nov 23;1(2):e12 [FREE Full text] [CrossRef] [Medline]
- Gustafson DH, Hawkins R, Pingree S, McTavish F, Arora NK, Mendenhall J, et al. Effect of computer support on younger women with breast cancer. J Gen Intern Med 2001 Jul;16(7):435-445 [FREE Full text] [CrossRef] [Medline]
- Hatchett A, Hallam JS, Ford MA. Evaluation of a social cognitive theory-based email intervention designed to influence the physical activity of survivors of breast cancer. Psychooncology 2013 Apr;22(4):829-836. [CrossRef] [Medline]
- Kato PM, Cole SW, Bradlyn AS, Pollock BH. A video game improves behavioral outcomes in adolescents and young adults with cancer: a randomized trial. Pediatrics 2008 Aug;122(2):e305-e317. [CrossRef] [Medline]
- Kunin-Batson A, Steele J, Mertens A, Neglia JP. A randomized controlled pilot trial of a web-based resource to improve cancer knowledge in adolescent and young adult survivors of childhood cancer. Psychooncology 2016 Nov 25;25(11):1308-1316 [FREE Full text] [CrossRef] [Medline]
- Lee MK, Yun YH, Park H, Lee ES, Jung KH, Noh DY. A web-based self-management exercise and diet intervention for breast cancer survivors: pilot randomized controlled trial. Int J Nurs Stud 2014 Dec;51(12):1557-1567. [CrossRef] [Medline]
- Ruland CM, White T, Stevens M, Fanciullo G, Khilani SM. Effects of a computerized system to support shared decision making in symptom management of cancer patients: preliminary results. J Am Med Inform Assoc 2003;10(6):573-579 [FREE Full text] [CrossRef] [Medline]
- Valle CG, Deal AM, Tate DF. Preventing weight gain in African American breast cancer survivors using smart scales and activity trackers: a randomized controlled pilot study. J Cancer Surviv 2017 Feb;11(1):133-148 [FREE Full text] [CrossRef] [Medline]
- Viers BR, Lightner DJ, Rivera ME, Tollefson MK, Boorjian SA, Karnes RJ, et al. Efficiency, satisfaction, and costs for remote video visits following radical prostatectomy: a randomized controlled trial. Eur Urol 2015 Oct;68(4):729-735. [CrossRef] [Medline]
- Wheelock AE, Bock MA, Martin EL, Hwang J, Ernest ML, Rugo HS, et al. SIS.NET: a randomized controlled trial evaluating a web-based system for symptom management after treatment of breast cancer. Cancer 2015 Mar 15;121(6):893-899 [FREE Full text] [CrossRef] [Medline]
- Yanez B, McGinty HL, Mohr DC, Begale MJ, Dahn JR, Flury SC, et al. Feasibility, acceptability, and preliminary efficacy of a technology-assisted psychosocial intervention for racially diverse men with advanced prostate cancer. Cancer 2015 Dec 15;121(24):4407-4415 [FREE Full text] [CrossRef] [Medline]
- Zernicke KA, Campbell TS, Speca M, McCabe-Ruff K, Flowers S, Carlson LE. A randomized wait-list controlled trial of feasibility and efficacy of an online mindfulness-based cancer recovery program: the eTherapy for cancer applying mindfulness trial. Psychosom Med 2014 May;76(4):257-267. [CrossRef] [Medline]
- Yanez B, Oswald LB, Baik SH, Buitrago D, Iacobelli F, Perez-Tamayo A, et al. Brief culturally informed smartphone interventions decrease breast cancer symptom burden among Latina breast cancer survivors. Psychooncology 2020 Jan 15;29(1):195-203 [FREE Full text] [CrossRef] [Medline]
- Velikova G, Booth L, Smith AB, Brown PM, Lynch P, Brown JM, et al. Measuring quality of life in routine oncology practice improves communication and patient well-being: a randomized controlled trial. J Clin Oncol 2004 Feb 15;22(4):714-724. [CrossRef] [Medline]
- Hawley ST, Li Y, An LC, Resnicow K, Janz NK, Sabel MS, et al. Improving breast cancer surgical treatment decision making: the iCanDecide randomized clinical trial. J Clin Oncol 2018 Mar 01;36(7):659-666 [FREE Full text] [CrossRef] [Medline]
- PRISMA for Scoping Reviews. PRISMA. URL: https://prisma-statement.org/Extensions/ScopingReviews [accessed 2022-09-07]
- DeSantis CE, Miller KD, Dale W, Mohile SG, Cohen HJ, Leach CR, et al. Cancer statistics for adults aged 85 years and older, 2019. CA Cancer J Clin 2019 Nov;69(6):452-467. [CrossRef] [Medline]
- Pilleron S, Sarfati D, Janssen-Heijnen M, Vignat J, Ferlay J, Bray F, et al. Global cancer incidence in older adults, 2012 and 2035: a population-based study. Int J Cancer 2019 Jan 01;144(1):49-58 [FREE Full text] [CrossRef] [Medline]
- Howlader N, Noone AM, Krapcho M, Miller D, Brest A, Yu M, et al. SEER Cancer Statistics Review, 1975-2018. National Cancer Institute. 2020. URL: https://seer.cancer.gov/archive/csr/1975_2018/ [accessed 2022-09-07]
- Kemp E, Trigg J, Beatty L, Christensen C, Dhillon HM, Maeder A, et al. Health literacy, digital health literacy and the implementation of digital health technologies in cancer care: the need for a strategic approach. Health Promot J Austr 2021 Feb 21;32 Suppl 1(S1):104-114. [CrossRef] [Medline]
- Adam R, McMichael D, Powell D, Murchie P. Publicly available apps for cancer survivors: a scoping review. BMJ Open 2019 Sep 30;9(9):e032510 [FREE Full text] [CrossRef] [Medline]
- Lambert SD, Harrison JD, Smith E, Bonevski B, Carey M, Lawsin C, et al. The unmet needs of partners and caregivers of adults diagnosed with cancer: a systematic review. BMJ Support Palliat Care 2012 Sep;2(3):224-230. [CrossRef] [Medline]
- Charalambous A. Utilizing the advances in digital health solutions to manage care in cancer patients. Asia Pac J Oncol Nurs 2019;6(3):234-237 [FREE Full text] [CrossRef] [Medline]
- Kotronoulas G, Kearney N, Maguire R, Harrow A, Di Domenico D, Croy S, et al. What is the value of the routine use of patient-reported outcome measures toward improvement of patient outcomes, processes of care, and health service outcomes in cancer care? A systematic review of controlled trials. J Clin Oncol 2014 May 10;32(14):1480-1501. [CrossRef] [Medline]
- Barbor M. Engaging patients in their cancer care through digital health. Oncology Pharmacist 2019 Nov;12(4):19-19.
Abbreviations
| HRQoL: health-related quality of life |
| NICE: National Institute for Health and Care Excellence |
| PRISMA-ScR: Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews |
| QoL: quality of life |
| RCT: randomized controlled trial |
Edited by R Kukafka; submitted 04.06.22; peer-reviewed by I Wilson, S Badawy; comments to author 21.08.22; revised version received 15.09.22; accepted 25.10.22; published 06.01.23
Copyright©Kyunghwa Lee, Sanghee Kim, Soo Hyun Kim, Sung-Hee Yoo, Ji Hyun Sung, Eui Geum Oh, Nawon Kim, Jiyeon Lee. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 06.01.2023.
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