ReviewBMC medicine2017
A realist review of mobile phone-based health interventions for non-communicable disease management in sub-Saharan Africa.
Review in BMC medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 3 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
53 citing papers in PubMed, 3 syntheses or guidelines pooled it, 109 citations in OpenAlex.
- Equitable utilization of non-communicable disease services in low- and middle-income countries; associated factors and intervention effects: a systematic review and meta-analysis.BMC health services research · 2026Pooled it
- Mobile health (mHealth) technologies for fall prevention among older adults in low-middle income countries: bibliometrics, network analysis and integrative review.Frontiers in digital health · 2025Pooled it
- The Comparative Effectiveness of Mobile Phone Interventions in Improving Health Outcomes: Meta-Analytic Review.JMIR mHealth and uHealth · 2019Pooled it
- Facilitators and Barriers to Chronic Disease Self-Management and Mobile Health Interventions for People Living With Diabetes and Hypertension in Cambodia: Qualitative Study.JMIR mHealth and uHealth · 2020Trial
- Mobile Heat Early Warning System for Pregnant and Postpartum Women in South Africa: Prospective Observational Evaluation Study.JMIR mHealth and uHealth · 2026Observational
- Barriers and Facilitators to the implementation and scale-up of a mHealth integrated care program for diabetes and hypertension in Ghana: a qualitative study of the Akoma Pa program.BMC health services research · 2026Article
- Examining the potential of mobile money-based health insurance for people living with HIV and hypertension or diabetes in Uganda.Frontiers in health services · 2026Article
- Article
- Digital Divide in Awareness, Want, and Adoption Across Diverse eHealth Services: Cross-Sectional Survey of Inpatients in Jinan, China.Journal of medical Internet research · 2025Article
- When evidence is not enough: A qualitative exploration of healthcare workers' perspectives on expansion of two-way texting (2wT) for post- circumcision follow-up in South Africa.PLOS digital health · 2025Article
- Is mobile renewal enough? A qualitative study exploring stakeholders' perspectives on mobile phone-based add-ons for national health insurance uptake in Ghana.BMC public health · 2025Article
- Factors Associated With the Intention to Use mHealth Among Thai Middle-Aged Adults and Older Adults: Cross-Sectional Study.JMIR human factors · 2025Article
- Developing and testing tele-support psychotherapy using mobile phones for depression among youth in Kampala district, Uganda: study protocol for a pilot randomized controlled trial.Frontiers in digital health · 2025Article
- Qualitative Evaluation of mHealth Implementation for Infectious Disease Care in Low- and Middle-Income Countries: Narrative Review.JMIR mHealth and uHealth · 2024Review
- Enhancing the implementation and integration of mHealth interventions in resource-limited settings: a scoping review.Implementation science : IS · 2024Article
- Workplace-Based Education Interventions for Managing Metabolic Syndrome in Low- and Middle-Income Countries: A Realist Review.Public health challenges · 2024Review
- Enhancing the Implementation and Integration of mHealth Interventions in Resource-Limited Settings: A Scoping Review.Research square · 2024Article
- Impact of artificial intelligence and digital technology-based diagnostic tools for communicable and non-communicable diseases in Africa.African journal of laboratory medicine · 2024Review
- Peer support interventions in maternal and child healthcare delivery in sub-Saharan Africa: protocol for a realist review.Systematic reviews · 2023Article
- Prioritizing non-communicable diseases in the post-pandemic era based on a comprehensive analysis of the GBD 2019 from 1990 to 2019.Scientific reports · 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
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe prevalence of non-communicable diseases (NCDs) is increasing in sub-Saharan Africa. At the same time, the use of mobile phones is rising, expanding the opportunities for the implementation of mobile phone-based health (mHealth) interventions. This review aims to understand how, why, for whom, and in what circumstances mHealth interventions against NCDs improve treatment and care in sub-Saharan Africa.
methodsFour main databases (PubMed, Cochrane Library, Web of Science, and Google Scholar) and references of included articles were searched for studies reporting effects of mHealth interventions on patients with NCDs in sub-Saharan Africa. All studies published up until May 2015 were included in the review. Following a realist review approach, middle-range theories were identified and integrated into a Framework for Understanding the Contribution of mHealth Interventions to Improved Access to Care for patients with NCDs in sub-Saharan Africa. The main indicators of the framework consist of predisposing characteristics, needs, enabling resources, perceived usefulness, and perceived ease of use. Studies were analyzed in depth to populate the framework.
resultsThe search identified 6137 titles for screening, of which 20 were retained for the realist synthesis. The contribution of mHealth interventions to improved treatment and care is that they facilitate (remote) access to previously unavailable (specialized) services. Three contextual factors (predisposing characteristics, needs, and enabling resources) influence if patients and providers believe that mHealth interventions are useful and easy to use. Only if they believe mHealth to be useful and easy to use, will mHealth ultimately contribute to improved access to care. The analysis of included studies showed that the most important predisposing characteristics are a positive attitude and a common language of communication. The most relevant needs are a high burden of disease and a lack of capacity of first-contact providers. Essential enabling resources are the availability of a stable communications network, accessible maintenance services, and regulatory policies.
conclusionsPolicy makers and program managers should consider predisposing characteristics and needs of patients and providers as well as the necessary enabling resources prior to the introduction of an mHealth intervention. Researchers would benefit from placing greater attention on the context in which mHealth interventions are being implemented instead of focusing (too strongly) on the technical aspects of these interventions.
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.