Evidence map›Paper›PMID 40329250›Full record

ArticleBMC public health2025

Geographic inequalities, and social-demographic determinants of reproductive, maternal and child health at sub-national levels in Kenya.

Janette Karimi, Anitah Cherono, Victor Alegana, Martin Mutua, Hellen Kiarie, Rose Muthee, Marleen Temmerman, Peter Gichangi

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Article in BMC public health, 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Janette KarimiDivision of Monitoring and Evaluation, Ministry of Health, Afya House, Cathedral Road, P.O Box 30016, 00100, Nairobi, Kenya. janettekarimi@gmail.com.
Anitah CheronoPopulation Health Unit, Kenya Medical Research Institute -Wellcome Trust Research Programme, Nairobi, Kenya.
Victor AleganaPrecision Public Health, The World Health Organization Regional Office for Africa (WHO AFRO), Harris Benito Koubemba Mona, Cité du Djoue, P.O. Box 06, Brazzaville, Congo.
Martin MutuaResearch, African Population and Health Research Center, Manga Close, P.O. Box: 10787 - 00100, Nairobi, Kenya.
Hellen KiarieDivision of Monitoring and Evaluation, Ministry of Health, Afya House, Cathedral Road, P.O Box 30016, 00100, Nairobi, Kenya.
Rose MutheeDivision of Monitoring and Evaluation, Ministry of Health, Afya House, Cathedral Road, P.O Box 30016, 00100, Nairobi, Kenya.
Marleen TemmermanDepartment of Public Health, and Primary Care, Faculty of Medicine, And Health Sciences at Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
Peter GichangiDepartment of Public Health, and Primary Care, Faculty of Medicine, And Health Sciences at Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium.

Funding

Wellcome Trust 211208World Health Organization 001
6 · The paper itself

Abstract

backgroundGlobal initiatives have emphasized tracking indicators to monitor progress, particularly in countries with the highest maternal and child mortality. Routine data can be used to monitor indicators for improved target setting at national and subnational levels. Our objective was to assess the geographic inequalities in estimates of reproductive, maternal and child health indicators from routine data at the subnational level in Kenya.

methodsMonthly data from 47 counties clustered in 8 regions, from January 2018 to December 2021 were assembled from the District Health Information Software version 2 (DHIS2) in Kenya. This included women of reproductive age receiving family planning commodities, pregnant women completing four antenatal care visits, deliveries conducted by skilled birth attendants, fully immunized children at 1 year and number of maternal deaths at health facilities, from which five indicators were constructed with denominators. A hierarchical Bayesian model was used to generate estimates of the five indicators at the at sub-national levels(counties and sub counties), adjusting for four determinants of health. A reproductive, maternal, and child health (RMCH) index was generated from the 5 indicators to compare overall performance across the continuum of care in reproductive, maternal and child health across the different counties.

resultsThe DHIS2 data quality for the selected 5 indicators was acceptable with detection of less than 3% outliers for the Facility Maternal Mortality Ratio (FMMR) and less than 1% for the other indicators. Overall, counties in the north-eastern, eastern and coastal regions had the lowest RMCH index due to low service coverage and high FMMR. Full immunization coverage at 1 year (FIC) had the highest estimate (79.3%, BCI: 77.8-80.5%), while Women of Reproductive age receiving FP commodities had the lowest estimate (38.6%, BCI: 38.2-38.9%). FMMR was estimated at 105.4, (BCI 67.3-177.1)Health facility density was an important determinant in estimating all five indicators. Maternal education was positively correlated with higher FIC coverage, while wealthier sub counties had higher FMMR.

conclusionsTracking of RMCH indicators revealed geographical inequalities at the County and subcounty level, often masked by national-level estimates. These findings underscore the value of routine monitoring indicators as a potential for evidence-based sub-national planning and precision targeting of interventions to marginalized populations.

Indexed as

Child HealthMaternal HealthReproductive HealthSocial Determinants of HealthAdolescentAdultChildFemaleHumansKenyaMaternal MortalityPregnancySocioeconomic FactorsYoung AdultChildMaternalReproductive

Identifiers

PMID40329250
PMCPMC12054322

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