11/06/2026
What does it take for community and facility teams to use data not just to report, but to act? That's the question driving our work in Homa Bay County this month.
The C-it DU-it (See it, do it) team is in Rachuonyo North Sub-County this week, the first stop in a four-week Quality Improvement training that will reach Work Improvement Teams (WITs) from 48 facilities across the county.
Phase 2 builds directly on what WITs started in phase 1. Teams are coming back to share what worked, what didn't, and what they've learned from implementing QI action plans on the ground. From there, we move into analysing data, identifying quality problems, tracing root causes, and building change plans that can actually hold.
By linking community and facility antenatal data systems in Homa Bay County, Lvcthealth's C-it DU-it (See it, do it) is creating the infrastructure for WITs to track women through pregnancy, schedule appointments, and close the gaps that fall between community and health facility.
Lvcthealth has worked alongside Kenya's community health systems since 2009, supporting government implementation, contributing to national and county policy, and holding a seat at both National and Global Community Health Worker Technical Working Groups. This study draws on that foundation, while generating evidence that can travel to other contexts where the same gaps exist.
County Government Of Homa Bay, National Institute for Health and Care Research
