Evidence map›Paper›PMID 32682421›Full record

ArticleBMC health services research2020

Determinants of subnational disparities in antenatal care utilisation: a spatial analysis of demographic and health survey data in Kenya.

Kefa G Wairoto, Noel K Joseph, Peter M Macharia, Emelda A Okiro

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Kefa G WairotoPopulation Health Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.ORCID https://orcid.org/0000-0001-8362-3630
Noel K JosephPopulation Health Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-0509-1373
Peter M MachariaPopulation Health Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya. pmacharia@kemri-wellcome.org.ORCID https://orcid.org/0000-0003-3410-1881
Emelda A OkiroPopulation Health Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.ORCID https://orcid.org/0000-0001-9543-8360

Funding

EPA EP-C-15-003Wellcome Trust 103602Wellcome Trust 201866Wellcome Trust 201866/Z/16/ZWellcome Trust 203077Wellcome Trust 212176
6 · The paper itself

Abstract

backgroundThe spatial variation in antenatal care (ANC) utilisation is likely associated with disparities observed in maternal and neonatal deaths. Most maternal deaths are preventable through services offered during ANC; however, estimates of ANC coverage at lower decision-making units (sub-county) is mostly lacking. In this study, we aimed to estimate the coverage of at least four ANC (ANC4) visits at the sub-county level using the 2014 Kenya Demographic and Health Survey (KDHS 2014) and identify factors associated with ANC utilisation in Kenya.

methodsData from the KDHS 2014 was used to compute sub-county estimates of ANC4 using small area estimation (SAE) techniques which relied on spatial relatedness to yield precise and reliable estimates at each of the 295 sub-counties. Hierarchical mixed-effect logistic regression was used to identify factors influencing ANC4 utilisation. Sub-county estimates of factors significantly associated with ANC utilisation were produced using SAE techniques and mapped to visualise disparities.

resultsThe coverage of ANC4 across sub-counties was heterogeneous, ranging from a low of 17% in Mandera West sub-county to over 77% in Nakuru Town West and Ruiru sub-counties. Thirty-one per cent of the 295 sub-counties had coverage of less than 50%. Maternal education, household wealth, place of delivery, marital status, age at first marriage, and birth order were all associated with ANC utilisation. The areas with low ANC4 utilisation rates corresponded to areas of low socioeconomic status, fewer educated women and a small number of health facility deliveries.

conclusionSuboptimal coverage of ANC4 and its heterogeneity at sub-county level calls for urgent, focused and localised approaches to improve access to antenatal care services. Policy formulation and resources allocation should rely on data-driven strategies to guide national and county governments achieve equity in access and utilisation of health interventions.

Indexed as

AdolescentAdultFemaleHealthcare DisparitiesHealth Care SurveysHealth FacilitiesHealth Services AccessibilityHumansKenyaLogistic ModelsMaternal Health ServicesPregnancyPrenatal CareSmall-Area AnalysisSocioeconomic FactorsSpatial AnalysisAntenatal careDeterminantsKenyaMappingSpatial variationSub-national

Identifiers

PMID32682421
PMCPMC7368739

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LicenceCC BY
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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.