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Published on in Vol 15 (2026)

This is a member publication of Bibsam Consortium

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81996, first published .
Newborn baby's foot with pink hospital ID band

Kenyan Neonatal Mortality Risk Predictor: Protocol for a User-Centered Design Evaluation

Kenyan Neonatal Mortality Risk Predictor: Protocol for a User-Centered Design Evaluation

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, 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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