PACTR202304517187726

Digital data linkage and scheduling to track pregnancy (‘C-it’) with or without community data use (‘C-it DU-it’) to increase antenatal clinic uptake in western Kenya:a cluster randomised trial

A pragmatic open-label, community-based, cluster randomised controlled superioritytrial 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
Liverpool School of Tropical Medicine·Not Applicable·Pan Africa Clinical Trials Registry·otherNot yet recruiting
Study focus
Disease/Condition
Obstetrics and Gynecology
Intervention type
other
Sponsor & location
Primary sponsor
Liverpool School of Tropical Medicine
Funder
National Institute for Health Care Research Global Health Policy and Systems Research United Kingdom.
Location
Kenya
Timeline & enrollment
Phase
Not Applicable
Start date
Jan 01, 1900
End date
Jan 01, 1900
Summary

Facility and community health data is being rapidly digitised using multiple parallel systems across the 47 devolved counties in Kenya, but data do not link. Setting up community-based antenatal care (ANC) to complement facility-based ANC and data systems that link these platforms is essential to support Kenya in adopting WHO’s ambitious target of 8 ANC contacts. As of February 2023, national scale up of the national electronic community health information systems (eCHIS) for standard of care is ongoing, and there are increased efforts to scale-up use of the nationally approved Kenya ElectroniMedical Records (KenyaEMR) Maternal and Child Health Module (MNH) to capture ANC, delivery and postnatal (PNC) data at health facilities. Data between eCHIS and Kenya EMR do not link. There are plans within the Community Health Division at national level to link eCHIS to facility EMRs, but this has yet to be developed.We 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. The research question we will seek to answer is “what is the effect of ‘C-it DU it’ on community health systems strengthening and what is required for effective transfer and scale-up?” We will use mixed methods implementation research to evaluate this in 4counties in Western Kenya (Homa Bay, Migori, Kisumu, Kakamega) over a period of four years.

ICD-10 classifications
Obstetric and gynaecological devices associated with adverse incidentsObstructed labour due to other maternal pelvic abnormalitiesObstetric and gynaecological devices associated with adverse incidents : miscellaneous devices, not elsewhere classifiedObstetric and gynaecological devices associated with adverse incidents : diagnostic and monitoring devicesOther complications of obstetric surgery and procedures
Data source
Registry
Pan Africa Clinical Trials Registry
Trial ID
PACTR202304517187726
Type
Non-Device Trial
About this record

Access comprehensive clinical trial information for PACTR202304517187726 through Pure Global AI's free database. This Not Applicable trial is sponsored by Liverpool School of Tropical Medicine and is currently Not yet recruiting. The study focuses on Obstetrics and Gynecology.

This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to Pan Africa Clinical Trials Registry data, helping medical device and pharmaceutical companies navigate clinical research efficiently.