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

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexFemale
AgeNot listed
SponsorLiverpool School of Tropical Medicine

About this trial

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).

Eligibility criteria

Qualifiers

Pregnant women of all ages willing to participate

Written informed consent

A resident of the study area (catchment area) for the duration of the pregnancy

Delivered and still within the 6-week post-partum period.

Disqualifiers

Currently enrolled in another interventional study targeting pregnant women

Outside the 6-week post-partum period.

Trial design

Treatments tested in this trial

  • The combined "C-it DU-it" intervention: community data use for ANC

Treatment groups

1,440 Participants
are divided into 2 treatment groups

Sponsors and collaborators

Liverpool School of Tropical Medicine

Lead sponsor

Kenya Medical Research Institute

Collaborator

LVCT Health

Collaborator