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Spatial and multilevel analysis of sanitation service access and related factors among households in Ethiopia: Using 2019 Ethiopian national dataset

BACKGROUND: Billions of people have faced the problem of accessing appropriate sanitation services. This study aimed to explore the spatial distribution of households’ access to sanitation services and identify associated factors in Ethiopia. METHODS: The 2019 Ethiopian Mini Demographic and Health S...

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Autores principales: Demsash, Addisalem Workie, Tegegne, Masresha Derese, Wubante, Sisay Maru, Walle, Agmasie Damtew, Donacho, Dereje Oljira, Senishaw, Andualem Fentahun, Emanu, Milkias Dugassa, Melaku, Mequannent Sharew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072458/
https://www.ncbi.nlm.nih.gov/pubmed/37014843
http://dx.doi.org/10.1371/journal.pgph.0001752
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author Demsash, Addisalem Workie
Tegegne, Masresha Derese
Wubante, Sisay Maru
Walle, Agmasie Damtew
Donacho, Dereje Oljira
Senishaw, Andualem Fentahun
Emanu, Milkias Dugassa
Melaku, Mequannent Sharew
author_facet Demsash, Addisalem Workie
Tegegne, Masresha Derese
Wubante, Sisay Maru
Walle, Agmasie Damtew
Donacho, Dereje Oljira
Senishaw, Andualem Fentahun
Emanu, Milkias Dugassa
Melaku, Mequannent Sharew
author_sort Demsash, Addisalem Workie
collection PubMed
description BACKGROUND: Billions of people have faced the problem of accessing appropriate sanitation services. This study aimed to explore the spatial distribution of households’ access to sanitation services and identify associated factors in Ethiopia. METHODS: The 2019 Ethiopian Mini Demographic and Health Survey data was used with a total of 6261 weighted samples. A cross-sectional study design with a two-stage cluster sampling technique was used. Global Moran’s I statistic measure, Getis-Ord Gi*, and the ordinary Kriging Gaussian interpolation were used for spatial autocorrelation, hot spot analysis, and interpolation of unsampled areas, respectively. A purely spatial Bernoulli-based model was employed to determine the geographical locations of the most likely clusters. A multilevel logistic regression model was used, and predictors with a P value of less than 0.05 with a 95% CI were considered significant factors. RESULTS: Overall, 19.7% of households had access to improved sanitation services in Ethiopia. Poor sanitation service access was significantly clustered, with hotspots of poor access identified in the South Nations Nationality and People’s Region (SNNPR), Oromia, Amhara, and Benishangul Gumuz regions. A total of 275 significant clusters were identified. Households in the circled area were more vulnerable to poor sanitation service access. Rural households, on-premises water access, media exposure, and rich wealth status were statistically significant factors for access to sanitation services. CONCLUSIONS: Access to sanitation services among households in Ethiopia is insufficient. The majority of the households had no access to sanitation services. Stakeholders are recommended to raise household members’ awareness of sanitation services, give priority to the hotspot areas, and encourage poor households to have access to toilet facilities. Household members recommended using the available sanitation service and keeping the sanitation service clean. Households are recommended to construct clean shared sanitation facilities.
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spelling pubmed-100724582023-04-05 Spatial and multilevel analysis of sanitation service access and related factors among households in Ethiopia: Using 2019 Ethiopian national dataset Demsash, Addisalem Workie Tegegne, Masresha Derese Wubante, Sisay Maru Walle, Agmasie Damtew Donacho, Dereje Oljira Senishaw, Andualem Fentahun Emanu, Milkias Dugassa Melaku, Mequannent Sharew PLOS Glob Public Health Research Article BACKGROUND: Billions of people have faced the problem of accessing appropriate sanitation services. This study aimed to explore the spatial distribution of households’ access to sanitation services and identify associated factors in Ethiopia. METHODS: The 2019 Ethiopian Mini Demographic and Health Survey data was used with a total of 6261 weighted samples. A cross-sectional study design with a two-stage cluster sampling technique was used. Global Moran’s I statistic measure, Getis-Ord Gi*, and the ordinary Kriging Gaussian interpolation were used for spatial autocorrelation, hot spot analysis, and interpolation of unsampled areas, respectively. A purely spatial Bernoulli-based model was employed to determine the geographical locations of the most likely clusters. A multilevel logistic regression model was used, and predictors with a P value of less than 0.05 with a 95% CI were considered significant factors. RESULTS: Overall, 19.7% of households had access to improved sanitation services in Ethiopia. Poor sanitation service access was significantly clustered, with hotspots of poor access identified in the South Nations Nationality and People’s Region (SNNPR), Oromia, Amhara, and Benishangul Gumuz regions. A total of 275 significant clusters were identified. Households in the circled area were more vulnerable to poor sanitation service access. Rural households, on-premises water access, media exposure, and rich wealth status were statistically significant factors for access to sanitation services. CONCLUSIONS: Access to sanitation services among households in Ethiopia is insufficient. The majority of the households had no access to sanitation services. Stakeholders are recommended to raise household members’ awareness of sanitation services, give priority to the hotspot areas, and encourage poor households to have access to toilet facilities. Household members recommended using the available sanitation service and keeping the sanitation service clean. Households are recommended to construct clean shared sanitation facilities. Public Library of Science 2023-04-04 /pmc/articles/PMC10072458/ /pubmed/37014843 http://dx.doi.org/10.1371/journal.pgph.0001752 Text en © 2023 Demsash et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Demsash, Addisalem Workie
Tegegne, Masresha Derese
Wubante, Sisay Maru
Walle, Agmasie Damtew
Donacho, Dereje Oljira
Senishaw, Andualem Fentahun
Emanu, Milkias Dugassa
Melaku, Mequannent Sharew
Spatial and multilevel analysis of sanitation service access and related factors among households in Ethiopia: Using 2019 Ethiopian national dataset
title Spatial and multilevel analysis of sanitation service access and related factors among households in Ethiopia: Using 2019 Ethiopian national dataset
title_full Spatial and multilevel analysis of sanitation service access and related factors among households in Ethiopia: Using 2019 Ethiopian national dataset
title_fullStr Spatial and multilevel analysis of sanitation service access and related factors among households in Ethiopia: Using 2019 Ethiopian national dataset
title_full_unstemmed Spatial and multilevel analysis of sanitation service access and related factors among households in Ethiopia: Using 2019 Ethiopian national dataset
title_short Spatial and multilevel analysis of sanitation service access and related factors among households in Ethiopia: Using 2019 Ethiopian national dataset
title_sort spatial and multilevel analysis of sanitation service access and related factors among households in ethiopia: using 2019 ethiopian national dataset
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072458/
https://www.ncbi.nlm.nih.gov/pubmed/37014843
http://dx.doi.org/10.1371/journal.pgph.0001752
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