ArticleBMC health services research2020
Challenges and prospects for implementation of community health volunteers' digital health solutions in Kenya: a qualitative study.
Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.
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Who cites it
27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 56 citations in OpenAlex.
- Barriers associated with the implementation, adoption, scale-up and sustainability of mHealth in Sub-Saharan Africa: a systematic review guided by the NASSS Framework.BMJ health & care informatics · 2026Pooled it
- Community-Based Health Information Systems in Africa: A Scoping Review of Data Generation, Utilization, and Community Empowerment.Wellcome open research · 2024Pooled it
- Malaria and Helminthic Co-Infection during Pregnancy in Sub-Saharan Africa: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022Pooled it
- Telemedicine Adoption for Managing Chronic and Rare Diseases in Indonesia During and Beyond the COVID-19 Era: Qualitative Study.Journal of medical Internet research · 2026Article
- Article
- Implementation process and acceptability of the electronic community health information system among community health workers in Kenya.Frontiers in health services · 2026Article
- Differential acceptance of a national digital health platform among community and frontline health workers in Cote d'Ivoire: a cross-sectional study.Frontiers in digital health · 2026Article
- Construction of a public health emergency information system framework: A case study of Zhuhai city, China.PloS one · 2026Article
- Performance of community health volunteers during the COVID-19 pandemic: assessing the enablers and challenges in Machakos County, Kenya.Primary health care research & development · 2025Article
- Evaluation of the acceptability of ESIDA app, a smartphone-based clinical decision support application to improve infectious disease outbreak detection in Tanzania: clinician perspectives.BMC public health · 2025Article
- Community Perspectives on Optimizing Community Health Volunteer Roles for HIV Prevention Services in Kenya and Uganda.AIDS patient care and STDs · 2025Article
- Innovative Training Strategies for Public Response to Out-of-Hospital Cardiac Arrest: A Scoping Review.Risk management and healthcare policy · 2025Review
- Challenges and Opportunities in Digital Screening for Hypertension and Diabetes Among Community Groups of Older Adults in Vietnam: Mixed Methods Study.Journal of medical Internet research · 2024Observational
- Implementation of a Clinical Decision Support System for Antimicrobial Prescribing in Sub-Saharan Africa: Multisectoral Qualitative Study.Journal of medical Internet research · 2024Article
- Discursive framework for a multi-disease digital health passport in Africa: a perspective.Globalization and health · 2024Review
- Training community health volunteers to use mobile platform during the COVID-19 pandemic: The Kenya experience.Global mental health (Cambridge, England) · 2024Article
- Community health worker perspectives on advocacy: design-based research to develop a digital advocacy training course.Frontiers in public health · 2024Article
- Article
- Qualitative exploration for the under-foot fall in utilization of health services at Primary Health Center of Shahdol, Madhya Pradesh.Journal of family medicine and primary care · 2024Article
- The Vinyasa Tool for mHealth Solutions: Supporting Human-Centered Design in Nascent Digital Health Ecosystems.JMIR formative research · 2023Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe value of digital health technologies in delivering vital health care interventions, especially in low resource settings is increasingly appreciated. We co-developed and tested a decision support mobile health (m-Health) application (app);with some of the forms used by Community Health Volunteers (CHVs) in Kenya to collect data and connected to health facilities. This paper explores the experiences of CHVs, health workers and members of Sub-County Health Management Teams following implementation of the project.
methodsData were collected in December 2017 through in-depth interviews and focus group discussions with CHVs and key informant interviews with health care workers and health managers in Kamukunji sub-County of Nairobi, Kenya. Data coding and analysis was performed in NVivo 12.
resultsRegarding users and health managers' perceptions towards the system; three main themes were identified: 1) variations in use, 2) barriers to use and 3) recommendations to improve use. Health workers at the private facility and some CHVs used the system more than health workers at the public facilities. Four sub-themes under barriers to use were socio-political environment, attitudes and behaviour, issues related to the system and poor infrastructure. A prolonged health workers' strike, the contentious presidential election in the year of implementation, interrupted electricity supply and lack of basic electric fixtures were major barriers to use. Suggestions to improve usage were: 1) integration of the system with others in use and making it available on users' regular phones, and 2) explore sustainable motivation models to users as well as performance based remuneration.
conclusionsThe findings reveal the importance of considering the readiness of information and communication technologies (ICT) users before rollout of ICT solutions. The political and sociocultural environment in which the innovation is to be implemented and integration of new solutions into existing ones is critical for success. As more healthcare delivery models are developed, harnessing the potential of digital technologies, strengthening health systems is critical as this provides the backbone on which such innovations draw support.
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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.