Digital Data Linkage and Scheduling to Track Pregnancy With or Without Community Data Use to Increase Antenatal Clinic Uptake in Western Kenya.

The investigators propose to increase ANC uptake through a health systems strengthening approach that links digital data platforms and trains community Work Improvement Teams (WITs) to use these data to identify problems and come up with local solutions. Our short name C-it DU-it (pronounced "see-it; do-it") is an acronym intended to convey 'seeing' linked data (C-it) and 'doing' or acting on the data (DU-it). The trial design is a 2-arm, cluster-randomised controlled superiority trial in Homa Bay County to determine the efficacy of 'C-it DU-it' intervention (data use arm) to increase ANC contacts when compared to the 'C-it' enhanced standard of care (control arm).

NCT Number	NCT05929586
Lead Sponsor	Liverpool School of Tropical Medicine Collaborators: Kenya Medical Research Institute, LVCT Health
Conditions	Health Systems, Electronic Community Health Information Systems, Antenatal Clinic Uptake, Pregnancy
Enrollment	1,440 participants
Start Date	2024-11-29
Primary Completion	2026-09-30 (estimated)
Study Completion	2026-09-30 (estimated)
Updated on ClinicalTrials.gov	2025-06-27