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Published on in Vol 10 (2026)

This is a member publication of Bibsam Consortium

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78950, first published .
Doctor holding tablet with medical icons and health data visualization

Contextual Barriers to Health Information Systems Optimization in Underserved Communities in Kenya: Qualitative Study Informed by Frugal Innovation and Information and Communication Technologies for Development

Contextual Barriers to Health Information Systems Optimization in Underserved Communities in Kenya: Qualitative Study Informed by Frugal Innovation and Information and Communication Technologies for Development

Journals

  1. Jabin M, Bi N, Mirza A, Chilaka M, Yaroson E, Samuriwo R. Effectiveness and experiences of quality improvement interventions in older care: a mixed-methods systematic review. Frontiers in Public Health 2026;14 View
  2. Jabin M. Why health information technology safety problems remain invisible. Frontiers in Digital Health 2026;8 View
  3. Jabin M, Nyatuka R. Bridging the data–power paradox: a conceptual–empirical analysis of solar-powered digital health systems in low-resource settings. Frontiers in Digital Health 2026;8 View
  4. Nyatuka R, Siva F, Jabin M. Governance pathways for scaling neonatal risk stratification tools in LMIC health systems: a multi-site qualitative study in Kenya. Frontiers in Digital Health 2026;8 View
  5. Jabin M, Nyatuka R. Assessing the feasibility of solar-powered digital health infrastructure in rural and peri-urban Kenya: a mixed-methods study. Frontiers in Digital Health 2026;8 View
  6. Nyatuka R, Sakikhales M, Cherinet P, Jabin M. Governance and implementation of solar-powered digital health systems in low- and middle-income countries: a mixed-methods study from Kenya and Ethiopia. Frontiers in Digital Health 2026;8 View
  7. Nyatuka R, Macharia P, Rahman Jabin M. Opportunities and Challenges of Implementing Solar-Powered Digital Health in Low-Resource Settings: A Mixed-Methods Study. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2026;63 View
  8. Nyatuka R, Macharia P, Kakhata E, Siva F, Muriithi B, Jabin M. Usability and Workflow Integration of a Machine Learning–Derived Neonatal Risk Predictor in Kenyan Neonatal Units: Multisite User-Centered Pilot Evaluation. JMIR Human Factors 2026;13:e94828 View