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Digital Data Linkage and Scheduling to Track Pregnancy With or Without Community Data Use to Increase Antenatal Clinic Uptake in Western Kenya.
Sponsor: Liverpool School of Tropical Medicine
Summary
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).
Official title: A Pragmatic Open-label, Community-based, Cluster Randomised Controlled Superiority Trial to Evaluate the Efficacy and Cost-effectiveness of Digital Data Linkage and Scheduling ('C-it') With or Without Community Data Use ('DU-it') to Increase Antenatal Clinic Uptake in Western Kenya.
Key Details
Gender
FEMALE
Age Range
Any - Any
Study Type
INTERVENTIONAL
Enrollment
1440
Start Date
2024-11-29
Completion Date
2026-09-30
Last Updated
2025-06-27
Healthy Volunteers
Yes
Conditions
Interventions
The combined "C-it DU-it" intervention: community data use for ANC
Combining data linkage ("C-it") with work improvement teams for community data use ("DU-it") to improve antenatal clinic uptake. 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)
Locations (1)
KEMRI Centre for Global Health Research
Homa Bay, Kenya