ArticleJMIR mHealth and uHealth2015
Valuable features in mobile health apps for patients and consumers: content analysis of apps and user ratings.
Article in JMIR mHealth and uHealth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07364760 (The Effect of Wellness Coaching and Mobile Application Given To Women Newly Diagnosed With Breast Cancer on Their Psychosocial Adjustment to The Disease and Their Well-Being), which is not on this map. Cited by 113 papers, 12 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Effect of Wellness Coaching and Mobile Application Given To Women Newly Diagnosed With Breast Cancer on Their Psychosocial Adjustment to The Disease and Their Well-Being
Who cites it
113 citing papers in PubMed, 12 syntheses or guidelines pooled it.
- Prognostic effectiveness of interactive vs. non-interactive mobile app interventions in type 2 diabetes: a systematic review and meta-analysis.Archives of public health = Archives belges de sante publique · 2024Pooled it
- Evaluating the Effectiveness of Mobile Health in Breast Cancer Care: A Systematic Review.The oncologist · 2023Pooled it
- Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis.JMIR mHealth and uHealth · 2022Pooled it
- Conceptual Ambiguity Surrounding Gamification and Serious Games in Health Care: Literature Review and Development of Game-Based Intervention Reporting Guidelines (GAMING).Journal of medical Internet research · 2021Pooled it
- Mobile health technologies for the management of rheumatic diseases: a systematic review of online stores in Brazil.Clinical rheumatology · 2021Pooled it
- Effectiveness of Mobile App-Assisted Self-Care Interventions for Improving Patient Outcomes in Type 2 Diabetes and/or Hypertension: Systematic Review and Meta-Analysis of Randomized Controlled Trials.JMIR mHealth and uHealth · 2020Pooled it
- Computer-Controlled Virtual Humans in Patient-Facing Systems: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2020Pooled it
- Evaluation of Heart Failure Apps to Promote Self-Care: Systematic App Search.JMIR mHealth and uHealth · 2019Pooled it
- Evaluation of Mobile Apps Targeted to Parents of Infants in the Neonatal Intensive Care Unit: Systematic App Review.JMIR mHealth and uHealth · 2019Pooled it
- The effectiveness of mHealth for self-management in improving pain, psychological distress, fatigue, and sleep in cancer survivors: a systematic review.Journal of cancer survivorship : research and practice · 2019Pooled it
- The use of mobile applications to support self-management for people with asthma: a systematic review of controlled studies to identify features associated with clinical effectiveness and adherence.Journal of the American Medical Informatics Association : JAMIA · 2017Pooled it
- Mobile health technologies for the management of urinary incontinence: A systematic review of online stores in Brazil.Brazilian journal of physical therapyPooled it
- Exploring mobile applications for oral health promotion: a randomized clinical trial.Canadian journal of dental hygiene : CJDH = Journal canadien de l'hygiene dentaire : JCHD · 2026Trial
- Deconstructing Fitbit to Specify the Effective Features in Promoting Physical Activity Among Inactive Adults: Pilot Randomized Controlled Trial.JMIR mHealth and uHealth · 2024Trial
- A Mobile App, KhunLook, to Support Thai Parents and Caregivers With Child Health Supervision: Development, Validation, and Acceptability Study.JMIR mHealth and uHealth · 2020Trial
- Trial
- Acceptance of a Mobile Oral Healthcare Tool Among Nursing Home Caregivers: A Cross-Sectional Study Using the Technology Acceptance Model.Gerodontology · 2026Article
- Exploring Self-Management-Based Mobile Health User Typologies and Associations Between User Types and Satisfaction With Key Mobile Health Functions: Comparative Study of Various Fitness and Weight Management App User Types.JMIR medical informatics · 2026Article
- Navigation, Adoption, and Use of Digital Health Technologies for Irritable Bowel Syndrome Self-Management: Focus Group Study of Patient Experience and Decision-Making.JMIR human factors · 2026Article
- Acceptability of an adolescent lifestyle mHealth app: a qualitative study using focus groups and interviews.mHealth · 2026Article
53 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe explosion of mobile phones with app capabilities coupled with increased expectations of the patient-consumers' role in managing their care presents a unique opportunity to use mobile health (mHealth) apps.
objectivesThe aim of this paper is to identify the features and characteristics most-valued by patient-consumers ("users") that contribute positively to the rating of an app.
methodsA collection of 234 apps associated with reputable health organizations found in the medical, health, and fitness categories of the Apple iTunes store and Google Play marketplace was assessed manually for the presence of 12 app features and characteristics. Regression analysis was used to determine which, if any, contributed positively to a user's rating of the app.
resultsAnalysis of these 12 features explained 9.3% (R(2)=.093 n=234, P<.001) of the variation in an app's rating, with only 5 reaching statistical significance. Of the 5 reaching statistical significance, plan or orders, export of data, usability, and cost contributed positively to a user's rating, while the tracker feature detracted from it.
conclusionsThese findings suggest that users appreciate features that save time over current methods and identify an app as valuable when it is simple and intuitive to use, provides specific instructions to better manage a condition, and shares data with designated individuals. Although tracking is a core function of most health apps, this feature may detract from a user's experience when not executed properly. Further investigation into mHealth app features is worthwhile given the inability of the most common features to explain a large portion of an app's rating. In the future, studies should focus on one category in the app store, specific diseases, or desired behavior change, and methods should include measuring the quality of each feature, both through manual assessment and evaluation of user reviews. Additional investigations into understanding the impact of synergistic features, incentives, social media, and gamification are also warranted to identify possible future trends.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.