SynthesisJMIR mHealth and uHealth2023
Factors Influencing the Acceptance and Adoption of Mobile Health Apps by Physicians During the COVID-19 Pandemic: Systematic Review.
Synthesis in JMIR mHealth and uHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Factors Influencing the Initiation and Continued Engagement of Digital Mental Health Tools Among Adults: Theory of Planned Behavior-Informed Systematic Review.JMIR mental health · 2026Pooled it
- Challenges in healthcare facilities' response to past outbreaks: a systematic review of reviews.BMC health services research · 2026Pooled it
- Mapping global inequities in telemedicine implementation: An umbrella review of barriers and facilitators.PloS one · 2026Pooled it
- mHealth applications to enhance physical therapy outcomes among adults with chronic non-cancer pain: a scoping review.Frontiers in pain research (Lausanne, Switzerland) · 2026Pooled it
- Digital Health Support for Cataract Surgery With the Sharp Health Companion CareKit App: Randomized Controlled Trial.JMIR mHealth and uHealth · 2026Trial
- A Transferable Evaluation Framework for Mobile Health Data Collection in Shift-Work Nurses: Development and Feasibility Study.JMIR formative research · 2026Article
- Effect of Continuous Nursing Based on IKAP Theory on Periodontal Indicators and Self-Management Ability of Patients With Periodontal Disease.International dental journal · 2026Review
- Personal and professional use of mobile health applications among Iranian nurses: a cross-sectional study.BMC health services research · 2026Article
- Patient and Clinician Attitudes Toward Mobile Health Apps: Qualitative Study.JMIR mHealth and uHealth · 2026Article
- An mHealth App and System Architecture for Respiratory Disease Management: Design Principles, Tool Development, and Pilot Usability Study.JMIR formative research · 2025Article
- Bridging the knowledge gap: a mixed-methods study on general practitioners' information needs for mHealth apps in hypertension treatment in Germany.BMC health services research · 2025Article
- Home-Based mHealth Platform (Active-Feet) for Children With Idiopathic Toe Walking: Design, Development, and Acceptability Study.JMIR rehabilitation and assistive technologies · 2025Article
- Article
- Insights Into How mHealth Applications Could Be Introduced Into Standard Hypertension Care in Germany: Qualitative Study With German Cardiologists and General Practitioners.JMIR mHealth and uHealth · 2025Article
- Family Physicians' Use of, Barriers to, and Attitudes Toward Remote Diagnosis and Treatment in China: A National Web-Based Survey.Healthcare (Basel, Switzerland) · 2025Article
- Article
- Exploring the Use of Mobile Health Applications in Palestinian Community Pharmacy Practice.Current therapeutic research, clinical and experimental · 2025Article
- Functions of Smartphone Apps and Wearable Devices Promoting Physical Activity: Six-Month Longitudinal Study on Japanese-Speaking Adults.JMIR mHealth and uHealth · 2024Article
- Review
- Exploring primary care doctors' perceptions and experiences in adopting mHealth with patients: A qualitative study.Digital healthArticle
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
backgroundDuring the COVID-19 pandemic, the provision of and access to health care have been uniquely challenging, particularly during lockdowns or when dealing with COVID-19 cases. Health care professionals have had to provide patients with the necessary health care. However, delivering health care services while reducing face-to-face interaction puts an immense strain on health systems that are already overburdened. Against this backdrop, it is now more critical than ever to ensure the accessibility of health care services. Such access has been made increasingly available through mobile health (mHealth) apps. These apps have the potential to significantly improve health care outcomes and expectations and address some of the challenges confronting health care systems worldwide. Despite the advantages of mHealth, its acceptance and adoption remain low. Hence, health care organizations must consider the perceptions and opinions of physicians if the technology is to be successfully implemented.
objectiveThe objective of this systematic review was to explore and synthesize the scientific literature on the factors influencing the acceptance and adoption of mHealth among physicians during the COVID-19 pandemic.
methodsA systematic review of the studies published between March 2020 and December 2022 was conducted using the MEDLINE, Scopus, Embase, and ProQuest databases. The database search yielded an initial sample of 455 potential publications for analysis, of which 9 (2%) met the inclusion criteria. The methodology of this review was based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses).
resultsThe factors influencing mHealth acceptance and adoption by physicians were divided into perceived barriers and perceived facilitators, which were further grouped into the following 3 major thematic categories: technological, individual, and organizational barriers and facilitators, respectively. The technological barriers were accessibility, technical issues, usefulness, and data management; individual barriers were perceived patient barriers, time and workload pressure, technical literacy, knowledge of mHealth, and peer support; and organizational barriers were financial factors, management support and engagement, data security, telemonitoring policy, and collaboration. The technological facilitators of uptake were technical factors, clinical usefulness, and data management; individual facilitators were patient-related care, intrinsic motivation, collaboration, and data sharing (individual); and organizational facilitators were workflow-related determinants, organizational financial support, recommendation of mHealth services, and evidence-based guidelines.
conclusionsThis review summarized the evidence on the factors influencing mHealth acceptance and adoption by physicians during the COVID-19 pandemic. The main findings highlighted the importance of addressing organizational readiness to support physicians with adequate resources, shifting the focus from technological to patient-centered factors, and the seamless integration of mHealth into routine practice during and beyond the pandemic.
trial registrationPROSPERO CRD42022356125; https://tinyurl.com/2mmhn5yu.
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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.