ArticleJMIR mHealth and uHealth2015
Health App Use Among US Mobile Phone Owners: A National Survey.
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 3 registered trials, which are not on this map. Cited by 597 papers, 10 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
UControlPain App (This is the Official IRB Title)
Efficiency And Quality In Post-Surgical Pain Therapy After Discharge
A Pilot Study on App-based Treatment Combining Physical Exercise, Graded Activity, and Pain Journaling for Patients with Spinal Complaints
Who cites it
597 citing papers in PubMed, 10 syntheses or guidelines pooled it, 1,410 citations in OpenAlex.
- Smartphone Apps for Preventing Adolescent Health Problems Among Health Care Professionals: Systematic Search and Quality Assessment.JMIR mHealth and uHealth · 2026Pooled it
- The physical and psychological effectiveness of mHealth-based physiotherapy for patients with chronic non-specific low back pain: A systematic review and meta-analysis.Journal of telemedicine and telecare · 2026Pooled it
- Inequalities in Exclusively Mobile Interventions Targeting Weight-Related Behaviors: Systematic Review of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Pooled it
- Uncovering the hierarchical determinants of continuous usage in online health communities: integrating meta-analysis with FUZZY-DEMATEL-AISM.Scientific reports · 2026Pooled it
- The Role of Mobile Apps in Obesity Management: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Effectiveness of mHealth App-Based Interventions for Increasing Physical Activity and Improving Physical Fitness in Children and Adolescents: Systematic Review and Meta-Analysis.JMIR mHealth and uHealth · 2024Pooled it
- Design and development of a mobile-based self-care application for patients with depression and anxiety disorders.BMC medical informatics and decision making · 2023Pooled it
- Mobile Apps for the Management of Gastrointestinal Diseases: Systematic Search and Evaluation Within App Stores.Journal of medical Internet research · 2022Pooled it
- Digital interventions to improve adherence to maintenance medication in asthma.The Cochrane database of systematic reviews · 2022Pooled it
- Nurse-Led Digital Intervention for Sodium Restriction in Chronic Kidney Disease: Mixed Methods Implementation Study.JMIR nursing · 2026Trial
- The Effectiveness of the Headspace App for Improving Sleep: Randomized Controlled Trial.Journal of medical Internet research · 2026Trial
- Development and testing of a smart empowerment education system for gout patients in suburban areas.Frontiers in public health · 2026Trial
- Trial
- GamblingLess: In-The-Moment: a mixed-methods acceptability and engagement evaluation of a gambling just-in-time adaptive intervention.Addiction science & clinical practice · 2025Trial
- Defaults at Work: A Field Experiment on the Effect of Nudges on Stand-Up Working.International journal of environmental research and public health · 2025Trial
- Five-year follow-up of a randomized weight loss trial on a digital health behaviour change support system.International journal of obesity (2005) · 2025Trial
- A Methamphetamine Treatment Mobile App for Sexual Minority Men: App Utilization, Engagement, and Completion.Substance use & misuse · 2025Trial
- The web-based Pleasure&Pregnancy programme in the treatment of unexplained infertility: a randomized controlled trial.Human reproduction (Oxford, England) · 2024Trial
- Factors Influencing Telehealth Service Use and Health Outcomes in Patients Undergoing Continuous Ambulatory Peritoneal Dialysis: Cross-Sectional Study.Journal of medical Internet research · 2023Trial
537 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
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile phone health apps may now seem to be ubiquitous, yet much remains unknown with regard to their usage. Information is limited with regard to important metrics, including the percentage of the population that uses health apps, reasons for adoption/nonadoption, and reasons for noncontinuance of use.
objectiveThe purpose of this study was to examine health app use among mobile phone owners in the United States.
methodsWe conducted a cross-sectional survey of 1604 mobile phone users throughout the United States. The 36-item survey assessed sociodemographic characteristics, history of and reasons for health app use/nonuse, perceived effectiveness of health apps, reasons for stopping use, and general health status.
resultsA little over half (934/1604, 58.23%) of mobile phone users had downloaded a health-related mobile app. Fitness and nutrition were the most common categories of health apps used, with most respondents using them at least daily. Common reasons for not having downloaded apps were lack of interest, cost, and concern about apps collecting their data. Individuals more likely to use health apps tended to be younger, have higher incomes, be more educated, be Latino/Hispanic, and have a body mass index (BMI) in the obese range (all P<.05). Cost was a significant concern among respondents, with a large proportion indicating that they would not pay anything for a health app. Interestingly, among those who had downloaded health apps, trust in their accuracy and data safety was quite high, and most felt that the apps had improved their health. About half of the respondents (427/934, 45.7%) had stopped using some health apps, primarily due to high data entry burden, loss of interest, and hidden costs.
conclusionsThese findings suggest that while many individuals use health apps, a substantial proportion of the population does not, and that even among those who use health apps, many stop using them. These data suggest that app developers need to better address consumer concerns, such as cost and high data entry burden, and that clinical trials are necessary to test the efficacy of health apps to broaden their appeal and adoption.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.