Technological Determinants of Mobile Health Effectiveness in Improving Treatment Compliance in Patients with Non-Communicable Diseases in Low-Medium-Income Countries: A Systematic Review
Peter Munyao Kithuka,
Beatrice Amy Nesidai Kithuka,
Eric KiokoMekala,
Mercy Ayago Onzere,
Jackline ChebetLagat,
Wamai Caroline Kirigo and
Albert Okello Ondiek
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Peter Munyao Kithuka: Department of Health Management and Informatics-Kenyatta University
Beatrice Amy Nesidai Kithuka: Department of Environmental and Occupational Health-Kenyatta University
Eric KiokoMekala: Department of Environmental and Occupational Health-Kenyatta University
Mercy Ayago Onzere: Department of Science and Technology-The Open University of Kenya
Jackline ChebetLagat: Department of Science and Technology-The Open University of Kenya
Wamai Caroline Kirigo: Department of Science and Technology-The Open University of Kenya
Albert Okello Ondiek: Department of Science and Technology-The Open University of Kenya
International Journal of Research and Scientific Innovation, 2025, vol. 12, issue 15, 1229-1251
Abstract:
Non-communicable diseases (NCDs) are responsible for 71% of global deaths, with 77% occurring in low- and middle-income countries (LMICs), where treatment compliance is hindered by limited healthcare access, low health literacy, and socioeconomic challenges. Mobile health (mHealth) interventions, including SMS reminders, apps, and teleconsultations, present a viable solution by delivering accessible health education and remote support. However, their effectiveness is heavily influenced by technological barriers such as network coverage, data and device costs, and privacy concerns, underscoring the need for a systematic evaluation tailored to LMIC settings. This review assesses how technological factors—network coverage, affordability, mobile penetration, security, trust, user experience, and usability—affect the efficacy of mHealth interventions in improving NCD treatment compliance in LMICs. It aims to identify key barriers and facilitators to guide the development of equitable and scalable solutions. Following PRISMA guidelines, the study analyzed relevant peer-reviewed articles from databases including Google Scholar, PubMed, Scopus and Web of Science. The focus was on Low-middle-income countries (LMICs) and mHealth interventions for non-communicable diseases (NCDs). While 41 references were included in the broader scope of this review, detailed synthesis and analysis were conducted on a subset of 23 studies. Data extraction and quality assessment were conducted using standardized tools, with findings synthesized narratively due to heterogeneous study designs.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:bjc:journl:v:12:y:2025:i:15:p:1229-1251
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