Cargando…

Spatial distribution and associated factors of dropout from health facility delivery after antenatal booking in Ethiopia: a multi-level analysis

BACKGROUND: Nowadays, retaining women in the continuum of care throughout the lifecycle: adolescence, pregnancy, childbirth, postpartum, and childhood in reproductive health is one of the recent global concerns. Most of the previous studies focused on individual-level factors and used classical logi...

Descripción completa

Detalles Bibliográficos
Autores principales: Yalew, Melaku, Molla, Asiressie, Bogale, Getahun Gebre, Birhane, Tesfaye, Arefaynie, Mastewal, Damtie, Yitayish, Kefale, Bereket, Adane, Bezawit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948476/
https://www.ncbi.nlm.nih.gov/pubmed/36823622
http://dx.doi.org/10.1186/s12905-023-02229-y
_version_ 1784892789182431232
author Yalew, Melaku
Molla, Asiressie
Bogale, Getahun Gebre
Birhane, Tesfaye
Arefaynie, Mastewal
Damtie, Yitayish
Kefale, Bereket
Adane, Bezawit
author_facet Yalew, Melaku
Molla, Asiressie
Bogale, Getahun Gebre
Birhane, Tesfaye
Arefaynie, Mastewal
Damtie, Yitayish
Kefale, Bereket
Adane, Bezawit
author_sort Yalew, Melaku
collection PubMed
description BACKGROUND: Nowadays, retaining women in the continuum of care throughout the lifecycle: adolescence, pregnancy, childbirth, postpartum, and childhood in reproductive health is one of the recent global concerns. Most of the previous studies focused on individual-level factors and used classical logistic regression. Furthermore, it doesn’t take into account its distribution. Therefore, this study aimed to assess spatial distribution, and associated factors of dropout from health facility delivery after antenatal booking among postpartum women in Ethiopia. METHOD: Cross-sectional study by secondary analysis of the Ethiopian Mini Demographic and Health Survey (EMDHS) 2019 dataset was conducted among postpartum women. A total of 2882 women who gave birth 5 years prior to the survey were included. Sampling weight was applied and the analysis was done using STATA version 16. Aeronautical Reconnaissance Coverage Geographic Information System (ArcGIS) 10.8 software was used to map the cluster and attribute of dropout from health facility delivery and Global and local Moran's Index methods were used to assess the extent of clustering. Multi-level (two-level) logistic regression analysis was used and variables with a P value less than 0.5 were considered statistical significance. Adjusted odds ratio AOR) with a 95% confidence interval was used to show the strength and direction of the association respectively. RESULTS: Dropout from health facility delivery after ANC (Antenatal Care) booking in Ethiopia was 35.42%, 95% CI (33.70, 37.19), and it spatially clustered (Moran’s index = 0.51, P value < 0.001). From individual-level variables: women who were primary educated [AOR = 0.70, 95% CI (0.49, 0.98)], secondary educated [AOR = 0.38, 95% CI (0.19, 0.73)], lived in the middle [AOR = 0.54, 95% CI (0.29, 0.98)], richer wealth [AOR = 0.37, 95% CI (0.18, 0.78)], richest wealth [AOR = 0.21, 95% CI (0.06, 0.74)], being counseled about pregnancy and childbirth complications [AOR = 0.52, 95% CI (0.34, 0.80)] and women who had four and above ANC visit [AOR = 0.52, 95% CI (0.38, 0.71)] were negatively associated with dropout. Whereas, second birth order [AOR = 2.62, 95% CI (1.40, 4.89)], 3–4th birth order [AOR = 4.92, 95% CI (2.82, 8.60)], above 4th birth order [AOR = 4.77, 95% CI (2.16, 10.53))] were positively associated with dropout. From community-level variables: mothers who lived in Afar [AOR = 2.61, 95% CI (1.08, 6.32)] and Oromia [AOR = 2.63, 95% CI (1.15, 6.02)] were positively associated with dropout from health facility delivery after ANC booking. CONCLUSIONS: Dropout from health facility delivery after ANC booking was high as the government’s effort and its spatial distribution in Ethiopia was clustered. Increased educational status of the mother, having four or more ANC visits, counseled about pregnancy and childbirth complications, and higher household wealth were negatively associated and higher birth order, and living in Oromia and Afar region were positively associated with dropout in Ethiopia. Strengthening women’s education, encouraging women to complete ANC visits, being counseled them on pregnancy and childbirth complications, and improving family wealth status will be the recalled intervention areas of the government.
format Online
Article
Text
id pubmed-9948476
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-99484762023-02-24 Spatial distribution and associated factors of dropout from health facility delivery after antenatal booking in Ethiopia: a multi-level analysis Yalew, Melaku Molla, Asiressie Bogale, Getahun Gebre Birhane, Tesfaye Arefaynie, Mastewal Damtie, Yitayish Kefale, Bereket Adane, Bezawit BMC Womens Health Research BACKGROUND: Nowadays, retaining women in the continuum of care throughout the lifecycle: adolescence, pregnancy, childbirth, postpartum, and childhood in reproductive health is one of the recent global concerns. Most of the previous studies focused on individual-level factors and used classical logistic regression. Furthermore, it doesn’t take into account its distribution. Therefore, this study aimed to assess spatial distribution, and associated factors of dropout from health facility delivery after antenatal booking among postpartum women in Ethiopia. METHOD: Cross-sectional study by secondary analysis of the Ethiopian Mini Demographic and Health Survey (EMDHS) 2019 dataset was conducted among postpartum women. A total of 2882 women who gave birth 5 years prior to the survey were included. Sampling weight was applied and the analysis was done using STATA version 16. Aeronautical Reconnaissance Coverage Geographic Information System (ArcGIS) 10.8 software was used to map the cluster and attribute of dropout from health facility delivery and Global and local Moran's Index methods were used to assess the extent of clustering. Multi-level (two-level) logistic regression analysis was used and variables with a P value less than 0.5 were considered statistical significance. Adjusted odds ratio AOR) with a 95% confidence interval was used to show the strength and direction of the association respectively. RESULTS: Dropout from health facility delivery after ANC (Antenatal Care) booking in Ethiopia was 35.42%, 95% CI (33.70, 37.19), and it spatially clustered (Moran’s index = 0.51, P value < 0.001). From individual-level variables: women who were primary educated [AOR = 0.70, 95% CI (0.49, 0.98)], secondary educated [AOR = 0.38, 95% CI (0.19, 0.73)], lived in the middle [AOR = 0.54, 95% CI (0.29, 0.98)], richer wealth [AOR = 0.37, 95% CI (0.18, 0.78)], richest wealth [AOR = 0.21, 95% CI (0.06, 0.74)], being counseled about pregnancy and childbirth complications [AOR = 0.52, 95% CI (0.34, 0.80)] and women who had four and above ANC visit [AOR = 0.52, 95% CI (0.38, 0.71)] were negatively associated with dropout. Whereas, second birth order [AOR = 2.62, 95% CI (1.40, 4.89)], 3–4th birth order [AOR = 4.92, 95% CI (2.82, 8.60)], above 4th birth order [AOR = 4.77, 95% CI (2.16, 10.53))] were positively associated with dropout. From community-level variables: mothers who lived in Afar [AOR = 2.61, 95% CI (1.08, 6.32)] and Oromia [AOR = 2.63, 95% CI (1.15, 6.02)] were positively associated with dropout from health facility delivery after ANC booking. CONCLUSIONS: Dropout from health facility delivery after ANC booking was high as the government’s effort and its spatial distribution in Ethiopia was clustered. Increased educational status of the mother, having four or more ANC visits, counseled about pregnancy and childbirth complications, and higher household wealth were negatively associated and higher birth order, and living in Oromia and Afar region were positively associated with dropout in Ethiopia. Strengthening women’s education, encouraging women to complete ANC visits, being counseled them on pregnancy and childbirth complications, and improving family wealth status will be the recalled intervention areas of the government. BioMed Central 2023-02-23 /pmc/articles/PMC9948476/ /pubmed/36823622 http://dx.doi.org/10.1186/s12905-023-02229-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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.
spellingShingle Research
Yalew, Melaku
Molla, Asiressie
Bogale, Getahun Gebre
Birhane, Tesfaye
Arefaynie, Mastewal
Damtie, Yitayish
Kefale, Bereket
Adane, Bezawit
Spatial distribution and associated factors of dropout from health facility delivery after antenatal booking in Ethiopia: a multi-level analysis
title Spatial distribution and associated factors of dropout from health facility delivery after antenatal booking in Ethiopia: a multi-level analysis
title_full Spatial distribution and associated factors of dropout from health facility delivery after antenatal booking in Ethiopia: a multi-level analysis
title_fullStr Spatial distribution and associated factors of dropout from health facility delivery after antenatal booking in Ethiopia: a multi-level analysis
title_full_unstemmed Spatial distribution and associated factors of dropout from health facility delivery after antenatal booking in Ethiopia: a multi-level analysis
title_short Spatial distribution and associated factors of dropout from health facility delivery after antenatal booking in Ethiopia: a multi-level analysis
title_sort spatial distribution and associated factors of dropout from health facility delivery after antenatal booking in ethiopia: a multi-level analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948476/
https://www.ncbi.nlm.nih.gov/pubmed/36823622
http://dx.doi.org/10.1186/s12905-023-02229-y
work_keys_str_mv AT yalewmelaku spatialdistributionandassociatedfactorsofdropoutfromhealthfacilitydeliveryafterantenatalbookinginethiopiaamultilevelanalysis
AT mollaasiressie spatialdistributionandassociatedfactorsofdropoutfromhealthfacilitydeliveryafterantenatalbookinginethiopiaamultilevelanalysis
AT bogalegetahungebre spatialdistributionandassociatedfactorsofdropoutfromhealthfacilitydeliveryafterantenatalbookinginethiopiaamultilevelanalysis
AT birhanetesfaye spatialdistributionandassociatedfactorsofdropoutfromhealthfacilitydeliveryafterantenatalbookinginethiopiaamultilevelanalysis
AT arefayniemastewal spatialdistributionandassociatedfactorsofdropoutfromhealthfacilitydeliveryafterantenatalbookinginethiopiaamultilevelanalysis
AT damtieyitayish spatialdistributionandassociatedfactorsofdropoutfromhealthfacilitydeliveryafterantenatalbookinginethiopiaamultilevelanalysis
AT kefalebereket spatialdistributionandassociatedfactorsofdropoutfromhealthfacilitydeliveryafterantenatalbookinginethiopiaamultilevelanalysis
AT adanebezawit spatialdistributionandassociatedfactorsofdropoutfromhealthfacilitydeliveryafterantenatalbookinginethiopiaamultilevelanalysis