| Title: |
Identifying geographical inequalities of maternal care utilization in Ethiopia : a Spatio-temporal analysis from 2005 to 2019 |
| Authors: |
Seboka, B. T.; Mamo, T. T.; Mekonnen, Tensae (S34128) |
| Publisher Information: |
U.K., BioMed Central |
| Publication Year: |
2022 |
| Collection: |
University of Western Sydney (UWS): Research Direct |
| Subject Terms: |
XXXXXX - Unknown |
| Description: |
Introduction: Inequalities in maternal care utilization pose a significant threat to maternal health programs. This study aimed to describe and explain the spatial variation in maternal care utilization among pregnant women in Ethiopia. Accordingly, this study focuses on identifying hotspots of underutilization and mapping maternal care utilization, as well as identifying predictors of spatial clustering in maternal care utilization. Methods: We evaluated three key indicators of maternal care utilization: pregnant women who received no antenatal care (ANC) service from a skilled provider, utilization of four or more ANC visits, and births attended in a health facility, based the Ethiopian National Demographic and Health Survey (EDHS5) to 2019. Spatial autocorrelation analysis was used to measure whether maternal care utilization was dispersed, clustered, or randomly distributed in the study area. Getis-Ord Gi statistics examined how Spatio-temporal variations differed through the study location and ordinary Kriging interpolation predicted maternal care utilization in the unsampled areas. Ordinary least squares (OLS) regression was used to identify predictors of geographic variation, and geographically weighted regression (GWR) examined the spatial variability relationships between maternal care utilization and selected predictors. Result: A total of 26,702 pregnant women were included, maternal care utilization varies geographically across surveys. Overall, statistically significant low maternal care utilization hotspots were identified in the Somali region. Low hotspot areas were also identified in northern Ethiopia, stretching into the Amhara, Afar, and Beneshangul-Gumuz regions; and the southern part of Ethiopia and the Gambella region. Spatial regression analysis revealed that geographical variations in maternal care utilization indicators were commonly explained by the number of under-five children, the wealth index, and media access. In addition, the mother’s educational status significantly explained ... |
| Document Type: |
article in journal/newspaper |
| File Description: |
print |
| Language: |
English |
| Relation: |
BMC Health Services Research--1472-6963-- Vol. 22 Issue. 1 No. 1455 pp: - |
| DOI: |
10.1186/s12913-022-08850-1 |
| Availability: |
https://doi.org/10.1186/s12913-022-08850-1; https://hdl.handle.net/1959.7/uws:78394 |
| Rights: |
© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
| Accession Number: |
edsbas.C9056F9D |
| Database: |
BASE |