ArticleJMIR mHealth and uHealth2019
Mobile Phone Apps Targeting Medication Adherence: Quality Assessment and Content Analysis of User Reviews.
Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 4 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
52 citing papers in PubMed, 4 syntheses or guidelines pooled it, 119 citations in OpenAlex.
- The Association Between Smartphone App-Based Self-monitoring of Hypertension-Related Behaviors and Reductions in High Blood Pressure: Systematic Review and Meta-analysis.JMIR mHealth and uHealth · 2022Pooled it
- Improving Patients' Medication Adherence and Outcomes in Nonhospital Settings Through eHealth: Systematic Review of Randomized Controlled Trials.Journal of medical Internet research · 2020Pooled it
- Using the RE-AIM framework to evaluate internal and external validity of mobile phone-based interventions in diabetes self-management education and support.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- Mobile Apps for Increasing Treatment Adherence: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Satisfaction and Usability of a Commercially Available Medication Adherence App (Medisafe) Among Medically Underserved Patients With Chronic Illnesses: Survey Study.JMIR human factors · 2025Trial
- Effects of a medication adherence app among medically underserved adults with chronic illness: a randomized controlled trial.Journal of behavioral medicine · 2024Trial
- Study design of the InTakeCare trial: a digital health solution to monitor and improve medication adherence in hypertensive patients.European heart journal. Digital health · 2026Article
- Exploring the Fit Between the Outputs of Freely Available Medication Adherence Apps and Users' Needs: Mixed Methods Study.JMIR mHealth and uHealth · 2025Article
- Design, implementation, and evaluation of web-based medication management application for polypharmacy adolescents: a mixed methods study.BMC health services research · 2025Article
- Usability and User Experience of a Digital Platform Prototype (Healthy Bone) to Promote Pharmacological and Nonpharmacological Treatment in Patients With Osteoporosis: Mixed Methods Study.JMIR formative research · 2025Article
- Transition From a Paper Diary to an Electronic Diary by Parents of Preschool Children With Food Allergies: Pilot Study.JMIR formative research · 2025Article
- Clinical feasibility of a quick response code-based digital self-reporting of medication adherence: results in patients on ticagrelor therapy from the APOLLO-QR observational study.European heart journal. Digital health · 2025Article
- Understanding Device Integrations Within Diabetes Apps: Mixed Methods Analysis of App Features and User Reviews.JMIR diabetes · 2025Article
- Integrating Digital Health Innovations to Achieve Universal Health Coverage: Promoting Health Outcomes and Quality Through Global Public Health Equity.Healthcare (Basel, Switzerland) · 2025Review
- Article
- Cardiomeds, an mHealth App for Self-Management to Support Swiss Patients With Heart Failure: 2-Stage Mixed Methods Usability Study.JMIR formative research · 2025Article
- Developing decision support algorithm for hypertension medications for use in a digital therapeutic system.Frontiers in drug safety and regulation · 2025Article
- Medication Management Strategies to Support Medication Adherence: Interview Study With Older Adults.Interactive journal of medical research · 2024Article
- Digital Solutions Available to Be Used by Informal Caregivers, Contributing to Medication Adherence: A Scoping Review.Pharmacy (Basel, Switzerland) · 2024Article
- Development and efficacy of mobile application to improve medication adherence for persons with cardiac disease.ARYA atherosclerosis · 2024Article
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith the accessibility and widespread use of mobile phones, mobile phone apps targeting medication adherence may be useful tools to help patients take medications as prescribed.
objectiveOur objectives were to (1) characterize and assess mobile phone medication adherence apps guided by a conceptual framework on the focus of adherence interventions and (2) conduct a content analysis of Web-based reviews to explore users' perspectives and experiences with mobile phone medication adherence apps.
methodsWe searched for mobile phone medication adherence apps using keyword searches in Apple and Android operating systems. We characterized all apps in terms of number of downloads, ratings, languages, cost, and disease target. We categorized apps according to 4 key features of (1) alerting to take medication, (2) tracking medication taking, (3) reminding to refill or indicating amount of medication left, and (4) storing medication information. We then selected representative apps from each operating system for detailed quality assessment and user testing. We also downloaded Web-based reviews for these selected apps and conducted a qualitative content analysis using an inductive approach involving steps of initial open coding, construction of categories, and abstraction into themes.
resultsWe identified 704 apps (443 from Apple and 261 from Android). The majority of apps across both operating systems had 1 or 2 features-specifically, 37.2% (165/443) and 38.1% (169/443) of Apple apps, respectively, and 41.4% (108/261) and 31.4% (108/261) of Android apps, respectively. Quality assessment and user testing of 20 selected apps revealed apps varied in quality and commonly focused on behavioral strategies to enhance medication adherence through alerts, reminders, and logs. A total of 1323 eligible Web-based reviews from these 20 selected apps were analyzed, and the following themes emerged: (1) features and functions appreciated by users, which included the ability to set up customized medication regimen details and reminders, monitor other health information (eg, vitals, supplements, and manage multiple people or pets), support health care visits (eg, having a list of medications and necessary health information in 1 app); (2) negative user experiences that captured technical difficulties (glitches, confusing app navigation, and poor interoperability), dosage schedule, and reminder setup inflexibility; and (3) desired functions and features related to optimization of information input, improvement of reminders, and upgrading app performance (better synchronization or backup of data and interoperability).
conclusionsA large number of mobile phone medication adherence apps are currently available. The majority of apps have features representing a behavioral approach to intervention. Findings of the content analysis offer mostly positive feedback as well as insights into current limitations and improvements that could be addressed in current and future medication adherence apps.
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.