Actively Recruiting
Digital Data Linkage and Scheduling to Track Pregnancy With or Without Community Data Use to Increase Antenatal Clinic Uptake in Western Kenya.
Led by Liverpool School of Tropical Medicine · Updated on 2025-06-27
1440
Participants Needed
1
Research Sites
95 weeks
Total Duration
On this page
Sponsors
L
Liverpool School of Tropical Medicine
Lead Sponsor
K
Kenya Medical Research Institute
Collaborating Sponsor
AI-Summary
What this Trial Is About
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).
CONDITIONS
Official Title
Digital Data Linkage and Scheduling to Track Pregnancy With or Without Community Data Use to Increase Antenatal Clinic Uptake in Western Kenya.
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Pregnant women of all ages willing to participate
- Written informed consent
- Resident of the study area for the duration of the pregnancy
- Delivered and still within the 6-week post-partum period
You will not qualify if you...
- Currently enrolled in another interventional study targeting pregnant women
- Outside the 6-week post-partum period
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
KEMRI Centre for Global Health Research
Homa Bay, Kenya
Actively Recruiting
Research Team
H
Hellen C Barsosio, MD
CONTACT
L
Lilian Otiso, MD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
HEALTH_SERVICES_RESEARCH
Number of Arms
2
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