Evidence map›Paper›PMID 32632981›Full record

Observational studyTropical medicine & international health : TM & IH2020

Spatial inequalities in skilled attendance at birth in Ghana: a multilevel analysis integrating health facility databases with household survey data.

Winfred Dotse-Gborgbortsi, Andrew J Tatem, Victor Alegana, C Edson Utazi, Corrine Warren Ruktanonchai, Jim Wright

Abstract readObservational Study
In one paragraph

Observational study in Tropical medicine & international health : TM & IH, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Winfred Dotse-GborgbortsiSchool of Geography and Environmental Science, University of Southampton, Southampton, UK.
Andrew J TatemSchool of Geography and Environmental Science, University of Southampton, Southampton, UK.
Victor AleganaSchool of Geography and Environmental Science, University of Southampton, Southampton, UK.
C Edson UtaziWorldPop Research Group, School of Geography and Environmental Science, University of Southampton, Southampton, UK.
Corrine Warren RuktanonchaiSchool of Geography and Environmental Science, University of Southampton, Southampton, UK.
Jim WrightSchool of Geography and Environmental Science, University of Southampton, Southampton, UK.

Funding

South Coast Doctoral Training Partnership ES/P000673/1Wellcome Trust 203077Wellcome Trust 211208Wellcome Trust 211208/Z/18/Z
6 · The paper itself

Abstract

objectiveThis study aimed at using survey data to predict skilled attendance at birth (SBA) across Ghana from healthcare quality and health facility accessibility.

methodsThrough a cross-sectional, observational study, we used a random intercept mixed effects multilevel logistic modelling approach to estimate the odds of having SBA and then applied model estimates to spatial layers to assess the probability of SBA at high-spatial resolution across Ghana. We combined data from the Demographic and Health Survey (DHS), routine birth registers, a service provision assessment of emergency obstetric care services, gridded population estimates and modelled travel time to health facilities.

resultsWithin an hour's travel, 97.1% of women sampled in the DHS could access any health facility, 96.6% could reach a facility providing birthing services, and 86.2% could reach a secondary hospital. After controlling for characteristics of individual women, living in an urban area and close proximity to a health facility with high-quality services were significant positive determinants of SBA uptake. The estimated variance suggests significant effects of cluster and region on SBA as 7.1% of the residual variation in the propensity to use SBA is attributed to unobserved regional characteristics and 16.5% between clusters within regions.

conclusionGiven the expansion of primary care facilities in Ghana, this study suggests that higher quality healthcare services, as opposed to closer proximity of facilities to women, is needed to widen SBA uptake and improve maternal health.

Indexed as

Delivery, ObstetricHealthcare DisparitiesAdolescentAdultCross-Sectional StudiesDatabases, FactualFamily CharacteristicsFemaleGhanaHealth FacilitiesHealth Services AccessibilityHumansMaternal Health ServicesMultilevel AnalysisPregnancySocioeconomic Factorsaccouchement qualifiéEmONCfinancement EmONCGISmaternal healthquality caresanté maternelleskilled birth attendancesoins de qualitétemps de trajettravel time

Identifiers

PMID32632981
PMCPMC7613541

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.