ArticleInternational journal of environmental research and public health2023
Healthcare Workers' Perspectives of mHealth Adoption Factors in the Developing World: Scoping Review.
Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
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The trial behind it
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.
- Understanding Adherence to Digital Health Technologies: Systematic Review of Predictive Factors.Journal of medical Internet research · 2025Pooled it
- The impact of eHealth use on general practice workload in the pre-COVID-19 era: a systematic review.BMC health services research · 2024Pooled it
- Youth health volunteers shaping the future of community-based digital health.PLOS digital health · 2026Article
- The acceptability, adoption and feasibility of mobile health interventions for diabetes and hypertension care among Ghanaian healthcare workers.PEC innovation · 2026Article
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- Developing the i-MoMCARE application in Cambodia: an iterative co-design approach using rapid prototyping.BMJ digital health & AI · 2026Article
- Telemedicine in Afghanistan: Implementation, Outcomes, and Future Directions in a Resource-Constrained Setting.Cureus · 2025Review
- User experiences with a mobile health app for self-management of diabetes and hypertension in Ghana: a qualitative study.Annals of medicine · 2025Article
- Clinicians' perspectives on integrating smartphone application data into routine alcohol dependency treatment: factors influencing implementation.Addiction science & clinical practice · 2025Article
- Factors influencing work performance and prospective mobile health applications among village health support groups: a formative study for i-MoMCARE development to enhance maternal, newborn, and child healthcare in Cambodia.Human resources for health · 2025Article
- The Influence of Medical Culture and Key Factors on Mobile App Usage Frequency and Perceived Effectiveness in Physical Therapy: Cross-Sectional Study.Journal of medical Internet research · 2025Article
- Factors Affecting the Adoption of Electronic Prescription by Physicians and Pharmacists.Health science reports · 2025Article
- Economic evaluation of mHealth solutions in PD: where do we stand?Neurodegenerative disease management · 2025Article
- mHealth knowledge and usage in maternal healthcare delivery: perspectives and experiences of healthcare practitioners in Ghana.BMJ open · 2025Article
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- Community Health Worker Videoconferencing Interventions for Disease Management and Health Promotion: Protocol for a Scoping Review.JMIR research protocols · 2024Article
- Health Data Sciences and Cardiovascular Diseases in South Asia: Innovations and Challenges in Digital Health.Current atherosclerosis reports · 2024Review
- Human Factors and Organizational Issues in Health Informatics: Review of Recent Developments and Advances.Yearbook of medical informatics · 2024Review
- Barriers and benefits of mHealth for community health workers in integrated community case management of childhood diseases in Banda Parish, Kampala, Uganda: a cross-sectional study.BMC primary care · 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
3 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundmHealth applications provide health practitioners with platforms that enable disease management, facilitate drug adherence, facilitate drug adherence, speed up diagnosis, monitor outbreaks, take and transfer medical images, and provide advice. Many developing economies are investing more in mobile telecommunication infrastructure than in road transport and electric power generation. Despite this, mHealth has not seen widespread adoption by healthcare workers in the developing world. This study reports a scoping review of factors that impact the adoption of mHealth by healthcare workers in the developing world, and based on these findings, a framework is developed for enhancing mHealth adoption by healthcare workers in the developing world.
methodsA structured literature search was performed using PubMed and Scopus, supplemented by hand searching. The searches were restricted to articles in English during the period January 2009 to December 2019 and relevant to the developing world that addressed: mobile phone use by healthcare workers and identified factors impacting the adoption of mHealth implementations. All authors reviewed selected papers, with final inclusion by consensus. Data abstraction was performed by all authors. The results were used to develop the conceptual framework using inductive iterative content analysis. RESULTS AND DISCUSSION: Of 919 articles, 181 met the inclusion criteria and, following a review of full papers, 85 reported factors that impact (promote or impede) healthcare worker adoption of mHealth applications. These factors were categorised into 18 themes and, after continued iterative review and discussion were reduced to 7 primary categories (engagement/funding, infrastructure, training/technical support, healthcare workers' mobile-cost/ownership, system utility, motivation/staffing, patients' mobile-cost/ownership), with 17 sub-categories. These were used to design the proposed framework.
conclusionsSuccessful adoption of mHealth by healthcare workers in the developing world will depend on addressing the factors identified in the proposed framework. They must be assessed in each specific setting prior to mHealth implementation. Application of the proposed framework will help shape future policy and practice of mHealth implementation in the developing world and increase adoption by health workers.
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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.