SynthesisJournal of medical Internet research2019
Barriers to the Use of Mobile Health in Improving Health Outcomes in Developing Countries: Systematic Review.
Synthesis in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05487807 (Quit4Life+), which is not on this map. Cited by 171 papers, 14 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.
Quit4Life+: Adapting and Evaluating a Phone-Based Tobacco Use Cessation Program for People Living With HIV in Uganda and Zambia (Quit4Life+ )
Who cites it
171 citing papers in PubMed, 14 syntheses or guidelines pooled it, 314 citations in OpenAlex.
- Effectiveness of mobile health applications with behaviour change techniques in improving maternal health outcomes: a systematic review.BMC public health · 2026Pooled it
- Mapping global inequities in telemedicine implementation: An umbrella review of barriers and facilitators.PloS one · 2026Pooled it
- The use of wearable technology in studies in older adults with cancer: a systematic review.The oncologist · 2025Pooled it
- Continuous glucose monitoring in type 2 diabetes: a systematic review of barriers and opportunities for care improvement.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025Pooled it
- The Effect of Smartphone Application-Based Self-Management Interventions Compared to Face-to-Face Diabetic Interventions for Pregnant Women With Gestational Diabetes Mellitus: A Meta-Analysis.Journal of diabetes research · 2025Pooled it
- Evaluating the Adoption of mHealth Technologies by Community Health Workers to Improve the Use of Maternal Health Services in Sub-Saharan Africa: Systematic Review.JMIR mHealth and uHealth · 2024Pooled it
- Cost-Effectiveness Analyses of Digital Health Technology for Improving the Uptake of Vaccination Programs: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Pooled it
- Estimation of moral distress among nurses: A systematic review and meta-analysis.Nursing ethics · 2023Pooled it
- Perspectives of health care professionals' on delivering mHealth sexual and reproductive health services in rural settings in low-and-middle-income countries: a qualitative systematic review.BMC health services research · 2022Pooled it
- Effects of mHealth on the psychosocial health of pregnant women and mothers: a systematic review.BMJ open · 2022Pooled it
- The Influence of Design and Implementation Characteristics on the Use of Maternal Mobile Health Interventions in Kenya: Systematic Literature Review.JMIR mHealth and uHealth · 2022Pooled it
- Feasibility of mHealth interventions for depressive symptoms in Latin America: a systematic review.International review of psychiatry (Abingdon, England) · 2021Pooled it
- Effectiveness of Mobile Apps to Promote Health and Manage Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials.JMIR mHealth and uHealth · 2021Pooled it
- Using a digital health tool to strengthen community engagement in arboviral disease prevention: an implementation study in Colombia.BMC public health · 2026Trial
- User acceptability and perceived impact of a mobile interactive education and support group intervention to improve postnatal health care in northern India: a qualitative study.BMC medical informatics and decision making · 2025Trial
- Trial
- Pilot implementation study of a web-based men's health screening app in primary care during COVID-19: a mixed-methods approach.BMC health services research · 2024Trial
- Effectiveness and Implementation of a Text Messaging mHealth Intervention to Prevent Childhood Obesity in Mexico in the COVID-19 Context: Mixed Methods Study.JMIR mHealth and uHealth · 2024Trial
- Implementation of an mHealth intervention to increase adherence to triage among HPV positive women with HPV-self-collection (ATICA study): post-implementation evaluation from the women's perspective.BMC women's health · 2023Trial
111 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
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe use of mobile health (mHealth) technologies to improve population-level health outcomes around the world has surged in the last decade. Research supports the use of mHealth apps to improve health outcomes such as maternal and infant mortality, treatment adherence, immunization rates, and prevention of communicable diseases. However, developing countries face significant barriers to successfully implement, sustain, and expand mHealth initiatives to improve the health of vulnerable populations.
objectiveWe aimed to identify and synthesize barriers to the use of mHealth technologies such as text messaging (short message service [SMS]), calls, and apps to change and, where possible, improve the health behaviors and health outcomes of populations in developing countries.
methodsWe followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist. Deriving search criteria from the review's primary objective, we searched PubMed and CINAHL using an exhaustive terms search (eg, mHealth, text messaging, and developing countries, with their respective Medical Subject Headings) limited by publication date, English language, and full text. At least two authors thoroughly reviewed each article's abstract to verify the articles were germane to our objective. We then applied filters and conducted consensus meetings to confirm that the articles met the study criteria.
resultsReview of 2224 studies resulted in a final group of 30 articles for analysis. mHealth initiatives were used extensively worldwide for applications such as maternal health, prenatal care, infant care, HIV/AIDS prevention, treatment adherence, cardiovascular disease, diabetes, and health education. Studies were conducted in several developing countries in Africa, Asia, and Latin America. From each article, we recorded the specific health outcome that was improved, mHealth technology used, and barriers to the successful implementation of the intervention in a developing country. The most prominent health outcomes improved with mHealth were infectious diseases and maternal health, accounting for a combined 20/30 (67%) of the total studies in the analysis. The most frequent mHealth technology used was SMS, accounting for 18/30 (60%) of the studies. We identified 73 individual barriers and grouped them into 14 main categories. The top 3 barrier categories were infrastructure, lack of equipment, and technology gap, which together accounted for 28 individual barriers.
conclusionsThis systematic review shed light on the most prominent health outcomes that can be improved using mHealth technology interventions in developing countries. The barriers identified will provide leaders of future intervention projects a solid foundation for their design, thus increasing the chances for long-term success. We suggest that, to overcome the top three barriers, project leaders who wish to implement mHealth interventions must establish partnerships with local governments and nongovernmental organizations to secure funding, leadership, and the required infrastructure.
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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.