ReviewJMIR mHealth and uHealth2020
Mobile Health Apps on COVID-19 Launched in the Early Days of the Pandemic: Content Analysis and Review.
Review in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 9 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
78 citing papers in PubMed, 9 syntheses or guidelines pooled it.
- Mobile Apps for Common Noncommunicable Disease Management: Systematic Search in App Stores and Evaluation Using the Mobile App Rating Scale.JMIR mHealth and uHealth · 2024Pooled it
- The effectiveness of mobile application for monitoring diabetes mellitus and hypertension in the adult and elderly population: systematic review and meta-analysis.BMC health services research · 2023Pooled it
- User Compliance With the Health Emergency and Disaster Management System: Systematic Literature Review.Journal of medical Internet research · 2023Pooled it
- The Landscape of Participatory Surveillance Systems Across the One Health Spectrum: Systematic Review.JMIR public health and surveillance · 2022Pooled it
- Data Management and Privacy Policy of COVID-19 Contact-Tracing Apps: Systematic Review and Content Analysis.JMIR mHealth and uHealth · 2022Pooled it
- Monitoring Symptoms of COVID-19: Review of Mobile Apps.JMIR mHealth and uHealth · 2022Pooled it
- COVID-19 Mobile Health Apps: An Overview of Mobile Applications in Indonesia.Frontiers in public health · 2022Pooled it
- State of the Art in Adoption of Contact Tracing Apps and Recommendations Regarding Privacy Protection and Public Health: Systematic Review.JMIR mHealth and uHealth · 2021Pooled it
- Telemedicine technologies and applications in the era of COVID-19 pandemic: A systematic review.Health informatics journalPooled it
- A Mobile Phone App to Support Adherence to Daily HIV Pre-exposure Prophylaxis Engagement Among Young Men Who Have Sex With Men and Transgender Women Aged 15 to 19 Years in Thailand: Pilot Randomized Controlled Trial.JMIR mHealth and uHealth · 2022Trial
- Article
- A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users.NPJ digital medicine · 2025Article
- Exploring Heart Disease-Related mHealth Apps in India: Systematic Search in App Stores and Metadata Analysis.Journal of medical Internet research · 2025Article
- A comprehensive survey on exploring and analyzing COVID-19 mobile apps: Meta and exploratory analysis.Heliyon · 2024Article
- Effectiveness of a Mobile Health Application for Educating Outpatients about Bowel Preparation.Healthcare (Basel, Switzerland) · 2024Article
- Mobile Apps for COVID-19: A Systematic Review of Reviews.Healthcare (Basel, Switzerland) · 2024Review
- Patient satisfaction and digital health in primary health care: a scoping review protocol.Frontiers in public health · 2024Article
- Effectiveness and intention to use a COVID-19 self-management app for epidemiological investigation: a web-based survey study.Frontiers in public health · 2024Article
- A Web-Based COVID-19 Tool for Testing Residents in Retirement Homes: Development Study.JMIR formative research · 2023Article
- Review
18 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
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile health (mHealth) app use is a major concern because of the possible dissemination of misinformation that could harm the users. Particularly, it can be difficult for health care professionals to recommend a suitable app for coronavirus disease (COVID-19) education and self-monitoring purposes.
objectiveThis study aims to analyze and evaluate the contents as well as features of COVID-19 mobile apps. The findings are instrumental in helping health care professionals to identify suitable mobile apps for COVID-19 self-monitoring and education. The results of the mobile apps' assessment could potentially help mobile app developers improve or modify their existing mobile app designs to achieve optimal outcomes.
methodsThe search for the mHealth apps available in the android-based Play Store and the iOS-based App Store was conducted between April 18 and May 5, 2020. The region of the App Store where we performed the search was the United States, and a virtual private network app was used to locate and access COVID-19 mobile apps from all countries on the Google Play Store. The inclusion criteria were apps that are related to COVID-19 with no restriction in language type. The basic features assessment criteria used for comparison were the requirement for free subscription, internet connection, education or advisory content, size of the app, ability to export data, and automated data entry. The functionality of the apps was assessed according to knowledge (information on COVID-19), tracing or mapping of COVID-19 cases, home monitoring surveillance, online consultation with a health authority, and official apps run by health authorities.
resultsOf the 223 COVID-19-related mobile apps, only 30 (19.9%) found in the App Store and 28 (44.4%) in the Play Store matched the inclusion criteria. In the basic features assessment, most App Store (10/30, 33.3%) and Play Store (10/28, 35.7%) apps scored 4 out of 7 points. Meanwhile, the outcome of the functionality assessment for most App Store apps (13/30, 43.3%) was a score of 3 compared to android-based apps (10/28, 35.7%), which scored 2 (out of the maximum 5 points). Evaluation of the basic functions showed that 75.0% (n=36) of the 48 included mobile apps do not require a subscription, 56.3% (n=27) provide symptom advice, and 41.7% (n=20) have educational content. In terms of the specific functions, more than half of the included mobile apps are official mobile apps maintained by a health authority for COVID-19 information provision. Around 37.5% (n=18) and 31.3% (n=15) of the mobile apps have tracing or mapping and home monitoring surveillance functions, respectively, with only 17% (n=8) of the mobile apps equipped with an online consultation function.
conclusionsMost iOS-based apps incorporate infographic mapping of COVID-19 cases, while most android-based apps incorporate home monitoring surveillance features instead of providing focused educational content on COVID-19. It is important to evaluate the contents and features of COVID-19 mobile apps to guide users in choosing a suitable mobile app based on their requirements.
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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.