Evidence map›Paper›PMID 41738450›Full record

ArticleInternational journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics2026

Spatial disparities and determinants of obstetric fistula among childbearing women in sub-Saharan Africa: A geospatial regression approach.

Kassaw Chekole Adane, Habtamu Wagnew Abuhay, Belayneh Jejaw Abate, Solomon Gedlu Nigatu

Abstract read
In one paragraph

Article in International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Kassaw Chekole AdaneDepartment of Occupational Health and Safety, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.ORCID https://orcid.org/0009-0000-3846-8774
Habtamu Wagnew AbuhayDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Belayneh Jejaw AbateUniversity of Gondar Comprehensive Specialized Hospital, Gondar, Ethiopia.ORCID https://orcid.org/0009-0003-7649-2830
Solomon Gedlu NigatuDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveObstetric fistula is a leading cause of maternal mortality and morbidity and continues to pose a significant public health challenge in sub-Saharan Africa (SSA). Despite its serious and devastating effects, there are a few studies that describe the spatial distribution, pooled prevalence, and factors associated with obstetric fistula in SSA. Understanding the burden and geographic variation is important for targeted interventions, efficient resource allocation, and progress toward Sustainable Development Goal 3. The aim of the present study was to assess geospatial variations, pooled prevalence, and factors associated with obstetric fistula in SSA using Demographic and Health Survey (DHS) data from 2015 and 2024.

methodsThis study utilized a community-based cross-sectional design, which drew from DHS data collected from 14 SSA countries over a nine-year range (2015-2024). The sample consisted of 146 023 weighted women ages 15-49 with a childbirth history, sampled from a two-stage stratified cluster sampling framework. The data were processed using STATA 17. Spatial analysis included Global Moran's I for clustering, Getis-Ord Gi* for hotspot detection, and Kriging interpolation to predict prevalence in the unsampled areas using ArcGIS. Both global (ordinary least squares [OLS], spatial lag, spatial error) and local (geographically weighted regression, multiscale geographically weighted regression) spatial regression models were used to identify predictors, with model fit assessed by Akaike information criterion (AICc) and adjusted R.

resultsThe pooled prevalence of obstetric fistula in SSA was seven per 1000 women (95% CI: 0.5, 10.00), and its spatial distribution was found to be clustered (Global Moran's I = 0.07, P < 0.01). Hotspot areas were located in Sierra Leone, Chad, Uganda, Côte d'Ivoire, Ethiopia, Cameroon, and Mozambique; cold spot areas were Burkina Faso, Gambia, Zambia, and Senegal. The multiscale geographically weighted regression model explained 86% of the spatial variation of obstetric fistula in SSA. Adolescent childbearing, unskilled birth attendants, women undergoing cesarean section delivery, rural residency, and living in areas where distance to health facilities is a big problem were significant spatial predictors of obstetric fistula in SSA.

conclusionThe study showed that the prevalence of obstetric fistula varies significantly across SSA countries. Due to the spatial clustering of obstetric fistula, a geographically targeted intervention is crucial, especially in hotspot areas. To address this issue, policymakers and health planners should implement focused strategies that improve access to skilled maternity care, prevent adolescent pregnancies, strengthen rural healthcare infrastructure, and ensure timely access to emergency obstetric services.

Indexed as

Obstetric Labor ComplicationsAdolescentAdultAfrica South of the SaharaCross-Sectional StudiesFemaleHealth SurveysHumansMaternal MortalityMiddle AgedPregnancyPrevalenceRisk FactorsSpatial AnalysisSpatial RegressionVaginal Fistulaobstetric fistulaspatial analysissub‐Saharan Africa

Identifiers

PMID41738450
PMCPMC13377303

What Socratic holds

Textmetadata
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 Socratic graph.