Kenya Go back to countries map Data for Impact (D4I) worked with a multi-partner group, led by the Kenya Ministry of Health (MOH), to provide technical assistance for the Kenya Harmonized Health Facility Assessment (HHFA). The HHFA provided baseline information to inform strategic and operational planning for universal health coverage (UHC) in Kenya by 2022. D4I supported this effort with training for research associates in the baseline data collection and feedback on data collection tools and training materials, quality control, logistics support, analysis, and report writing. D4I subsequently strengthened skills among MOH staff to analyze qualitative data collected on the functioning of community health services across 47 counties. These data have shed light on gaps in health service availability, quality of care, health facility management, equity in resource allocation, and availability and affordability of medicines. Findings are useful to identify areas for strengthening as UHC is implemented across the country. Related Content Neonatal Mortality Estimates and Associated Risk Factors in Nine Counties in Kenya (2023, English)Improving Maternal and Child Health Outcomes in Kenya: Impact of the Free Maternity Service Policy on Healthcare Use and Lives Saved (2020, English)Impact of a Systems Engineering Intervention on PMTCT Service Delivery in Côte d’Ivoire, Kenya, Mozambique: A Cluster Randomized Trial (2020, English)Referral Network Analysis for Improved HIV Care in Homa Bay County, Kenya: Final Report (2016, English)Kenya: Snapshot of the Strength of the Health Information System as a Source of HIV Data (2019, English)Strengthening Kenyas Health Referral Systems (2018, English)Strengthening Civil Registration and Vital Statistics in Kenya (2018, English)Strengthening the Performance of Kenyas Health Information System: Improvements in Data Quality and Use at the County Level (2019, English)Monitoring and Evaluation Toolkit for the Scale-Up of Emergency Obstetric and Newborn Care (EmONC) in Kenya (2017, English)Factors Affecting Sex- and Age-Disaggregated Data in Health Information Systems Lessons from the Field (2017, English)1 2 Next »
