Evidence map›Paper›PMID 38910246›Full record

ArticleBMC public health2024

Mapping and predicting open defecation in Ethiopia: 2021 PMA-ET study.

Natnael Kebede, Amare Mebrat Delie, Eyob Ketema Bogale, Tadele Fentabel Anagaw, Misganaw Guadie Tiruneh, Eneyew Talie Fenta, Destaw Endeshaw, Habitu Birhanu Eshetu, Ousman Adal, Abiyu Abadi Tareke

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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

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

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Natnael KebedeDepartment of Health Promotion, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia. natnaelkebedete@gmail.com.
Amare Mebrat DelieDepartment of Public Health, College of Medicine and Health Sciences, Injibara University, Injibara, Ethiopia.
Eyob Ketema BogaleDepartment of Health Promotion and Behavioral Science, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Tadele Fentabel AnagawDepartment of Health Promotion and Behavioral Science, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Misganaw Guadie TirunehDepartment of Health System and Policy, Institute of Public Health, College of Medicine and Health Science, University of Gonder, Gonder, Ethiopia.
Eneyew Talie FentaDepartment of Public Health, College of Medicine and Health Sciences, Injibara University, Injibara, Ethiopia.
Destaw EndeshawDepartment of Adult Health Nursing, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Habitu Birhanu EshetuDepartment of Health Promotion and Health Behaviour, Institute of Public Health, College of Medicine and Health Science, University of Gonder, Gonder, Ethiopia.
Ousman AdalDepartment of Emergency Nurse, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Abiyu Abadi TarekeCOVID-219 Vaccine/EPI Technical Assistant at West Gondar Zonal Health Department, Amref Health Africa, Gonder, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThere has been extensive research conducted on open defecation in Ethiopia, but a notable gap persists in comprehensively understanding the spatial variation and predictors at the household level. This study utilizes data from the 2021 Performance Monitoring for Action Ethiopia (PMA-ET) to address this gap by identifying hotspots and predictors of open defecation. Employing geographically weighted regression analysis, it goes beyond traditional models to account for spatial heterogeneity, offering a nuanced understanding of geographical variations in open defecation prevalence and its determinants. This research pinpoints hotspot areas and significant predictors, aiding policymakers and practitioners in tailoring interventions effectively. It not only fills the knowledge gap in Ethiopia but also informs global sanitation initiatives.

methodsThe study comprised a total weighted sample of 24,747 household participants. ArcGIS version 10.7 and SaT Scan version 9.6 were used to handle mapping, hotspots, ordinary least squares, Bernoulli model analysis, and Spatial regression. Bernoulli-based model was used to analyze the purely spatial cluster detection of open defecation at the household level in Ethiopia. Ordinary Least Square (OLS) analysis and geographically weighted regression analysis were employed to assess the association between an open defecation and explanatory variables.

resultsThe spatial distribution of open defecation at the household level exhibited clustering (global Moran's I index value of 4.540385, coupled with a p-value of less than 0.001), with significant hotspots identified in Amhara, Afar, Harari, and parts of Dire Dawa. Spatial analysis using Kuldorff's Scan identified six clusters, with four showing statistical significance (P-value < 0.05) in Amhara, Afar, Harari, Tigray, and southwest Ethiopia. In the geographically weighted regression model, being male [coefficient = 0.87, P-value < 0.05] and having no media exposure (not watching TV or listening to the radio) [coefficient = 0.47, P-value < 0.05] emerged as statistically significant predictors of household-level open defecation in Ethiopia.

conclusionThe study revealed that open defecation at the household level in Ethiopia varies across the regions, with significant hotspots identified in Amhara, Afar, Harari, and parts of Dire Dawa. Geographically weighted regression analysis highlights male participants lacking media exposure as substantial predictors of open defecation. Targeted interventions in Ethiopia should improve media exposure among males in hotspot regions, tailored sanitation programs, and region-specific awareness campaigns. Collaboration with local communities is crucial.

Indexed as

DefecationAdolescentAdultEthiopiaFamily CharacteristicsFemaleHumansMaleMiddle AgedSanitationSpatial AnalysisSpatial RegressionToilet FacilitiesYoung AdultEthiopiaMappingOpen defecationPredictors

Identifiers

PMID38910246
PMCPMC11194908

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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.