ReviewJMIR mHealth and uHealth2015
Expert Involvement and Adherence to Medical Evidence in Medical Mobile Phone Apps: A Systematic Review.
Review in JMIR mHealth and uHealth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 7 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
55 citing papers in PubMed, 7 syntheses or guidelines pooled it, 112 citations in OpenAlex.
- Smartphone Apps for Pulmonary Hypertension: Systematic Search and Content Evaluation.JMIR mHealth and uHealth · 2024Pooled it
- Smartphone Apps for Patients With Hematologic Malignancies: Systematic Review and Evaluation of Content.JMIR mHealth and uHealth · 2022Pooled it
- The Efficacy of Health Information Technology in Supporting Health Equity for Black and Hispanic Patients With Chronic Diseases: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Usability Evaluations of Mobile Mental Health Technologies: Systematic Review.Journal of medical Internet research · 2020Pooled it
- Evaluation of Mobile Apps Targeted at Patients With Spondyloarthritis for Disease Monitoring: Systematic App Search.JMIR mHealth and uHealth · 2019Pooled it
- Research-Tested Mobile Apps for Breast Cancer Care: Systematic Review.JMIR mHealth and uHealth · 2019Pooled it
- The Effect of Technology-Mediated Diabetes Prevention Interventions on Weight: A Meta-Analysis.Journal of medical Internet research · 2017Pooled it
- Trial
- A WeChat mini-program-based perioperative cognitive management tool (WACDAM): development and clinical evaluation in elderly patients undergoing oromaxillofacial malignancy surgery-a mixed-methods study.Perioperative medicine (London, England) · 2026Article
- From algorithms to empathy: can large language models effectively answer patients' questions in restorative dentistry?BMC oral health · 2026Article
- Development and Implementation of a Personal Virtual Assistant for Patient Engagement and Communication in Postsurgical Cancer Care: Feasibility Cohort Study.JMIR cancer · 2025Article
- Mobile applications available in Saudi Arabia for the management of Primary Dysmenorrhea: A quality review and content analysis.PloS one · 2025Article
- Do laypersons need App-linked real-time feedback devices for effective resuscitation? - Results of a prospective, randomised simulation trial.Resuscitation plus · 2024Article
- Blinded by Stress: A Patient and Physician Perspective on Central Serous Chorioretinopathy.Ophthalmology and therapy · 2024Article
- A Cross-Sectional Study Identifying Medication Adherence Technologies (MATech) in Sweden Using Behavior Change Techniques.Patient preference and adherence · 2024Article
- Artificial Intelligence-Based ChatGPT Responses for Patient Questions on Optic Disc Drusen.Ophthalmology and therapy · 2023Article
- "Application and accuracy of artificial intelligence-derived large language models in patients with age related macular degeneration".International journal of retina and vitreous · 2023Article
- Nurses' Roles in mHealth App Development: Scoping Review.JMIR nursing · 2023Article
- Compassion apps for better mental health: qualitative review.BJPsych open · 2023Article
- An Evaluation of Interactive mHealth Applications for Adults Living with Cancer.Current oncology (Toronto, Ont.) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBoth clinicians and patients use medical mobile phone apps. Anyone can publish medical apps, which leads to contents with variable quality that may have a serious impact on human lives. We herein provide an overview of the prevalence of expert involvement in app development and whether or not app contents adhere to current medical evidence.
objectiveTo systematically review studies evaluating expert involvement or adherence of app content to medical evidence in medical mobile phone apps.
methodsWe systematically searched 3 databases (PubMed, The Cochrane Library, and EMBASE), and included studies evaluating expert involvement or adherence of app content to medical evidence in medical mobile phone apps. Two authors performed data extraction independently. Qualitative analysis of the included studies was performed.
resultsBased on inclusion criteria, 52 studies were included in this review. These studies assessed a total of 6520 apps. Studies dealt with a variety of medical specialties and topics. As much as 28 studies assessed expert involvement, which was found in 9-67% of the assessed apps. Thirty studies (including 6 studies that also assessed expert involvement) assessed adherence of app content to current medical evidence. Thirteen studies found that 10-87% of the assessed apps adhered fully to the compared evidence (published studies, recommendations, and guidelines). Seventeen studies found that none of the assessed apps (n=2237) adhered fully to the compared evidence.
conclusionsMost medical mobile phone apps lack expert involvement and do not adhere to relevant medical evidence.
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.