Evidence map›Paper›PMID 41675597›Full record

ArticleFrontiers in health services2025

Evaluating community digital data linkage with or without community data use to increase antenatal care uptake in Western Kenya: protocol for a pragmatic open-label, cluster-randomised controlled superiority trial.

Gerald Ong'ayo, Hellen C Barsosio, Lilian Otiso, Alice Kamau, James Dodd, Linet Okoth, Mandela Oguche, Vicki Doyle, Eleanor Ochodo, Gordon Okomo and 2 more

Abstract read
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Article in Frontiers in health services, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Gerald Ong'ayoCentre for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya.
Hellen C BarsosioCentre for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya.
Lilian OtisoLVCT Health, Nairobi, Kenya.
Alice KamauCentre for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya.
James DoddDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Linet OkothLVCT Health, Nairobi, Kenya.
Mandela OgucheLVCT Health, Nairobi, Kenya.
Vicki DoyleCapacity Development International, Liverpool, United Kingdom.
Eleanor OchodoCentre for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya.
Gordon OkomoDepartment of Health, Homabay County Government, Homabay, Kenya.
Feiko Ter KuileCentre for Global Health Research, Kenya Medical Research Institute (KEMRI), Kisumu, Kenya.
Miriam TaegtmeyerDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Less than 10% of pregnant women in Sub Saharan Africa achieve the World Health Organization recommended eight antenatal care (ANC) contacts for optimal pregnancy management. Robust strategies that involve community outreach programmes, integrated service delivery and continuity of care could help improve ANC uptake and quality. Kenya, as other countries, has promoted use of digital health records at the community and facility levels to improve quality and access to data and promote continuity of care. These records, however, are not always linked and access to data does not guarantee its use to drive quality improvement. C-it-DU-it (pronounced "See it, Do it") is a two-arm pragmatic cluster-randomised trial set in Homabay County, Kenya. The trial will implement digital linkage of community and facility electronic patient data (control arm) and assess the impact of having quality improvement teams reviewing and acting on the linked data (intervention arm). While several areas are captured in the community health records, we will focus on uptake of ANC services as a lens. Methods: Eighteen healthcare facilities (clusters) will be randomly allocated to either the control or intervention arms at a ratio of 1:1. A data linkage module will be deployed in all clusters, enabling digital referral of pregnant women between the community and health facilities. In each intervention cluster, work improvement teams will be established and trained on reviewing these electronic ANC data, identifying problems, developing and deploying context-specific solutions to these problems and evaluating the impact of their interventions. ANC data will be extracted for 1,440 recruited pregnant women. The primary outcome will be the proportion of pregnant women with at least eight ANC contacts. Secondary outcomes will be ANC uptake before 16 weeks gestation, adverse pregnancy outcomes, uptake of required investigations, medication and skilled birth attendance. Discussion: This trial intends to generate evidence on the benefit of community work improvement teams to review and act on linked digital data to develop and deploy solutions to local problems. This strategy, if successful, will promote antenatal service uptake and quality resulting in improved pregnancy outcomes and progress towards sustainable development goals if appropriately scaled up.

Indexed as

community referraldata linkagedigital healthelectronic community health information systemselectronic medical recordsquality improvement

Identifiers

PMID41675597
PMCPMC12886392

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.