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Spatial distribution and determinants of an optimal ANC visit among pregnant women in Ethiopia: further analysis of 2016 Ethiopia demographic health survey

BACKGROUND: Antenatal care (ANC) is essential to improve maternal and newborn health and wellbeing. Antenatal care coverage is improving in Africa since over two-thirds of pregnant women have at least one ANC contact. However, to realize the complete life-saving potential that ANC guarantees for mot...

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Autores principales: Tessema, Zemenu Tadesse, Animut, Yaregal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057476/
https://www.ncbi.nlm.nih.gov/pubmed/32131759
http://dx.doi.org/10.1186/s12884-020-2795-4
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author Tessema, Zemenu Tadesse
Animut, Yaregal
author_facet Tessema, Zemenu Tadesse
Animut, Yaregal
author_sort Tessema, Zemenu Tadesse
collection PubMed
description BACKGROUND: Antenatal care (ANC) is essential to improve maternal and newborn health and wellbeing. Antenatal care coverage is improving in Africa since over two-thirds of pregnant women have at least one ANC contact. However, to realize the complete life-saving potential that ANC guarantees for mothers and babies, at least four visits providing essential evidence-based interventions are required.. Therefore, this study was conducted to identify determinants of an optimal ANC visit and its spatial distribution in Ethiopia. METHODS: This study is a secondary data analysis of the 2016 Ethiopian Demographic and Health Survey (EDHS). A total of 8025 women who had a live birth in the five years preceding the survey were included in this study. STATA 14 software and ArcGIS10.7 software were used for analysis. The generalized estimating equation (GEE) model was fitted to identify factors associated with an optimal ANC visit. Crude and Adjusted odds ratio with a 95% CI computed to assess the strength of association between explanatory and outcome variables. RESULTS: This study revealed that rural residence (AOR = 0.59, 95%CI: 0.45–0.77),male partners educational status [secondary school (AOR = 1.33, 95%CI: 1.05–1.67)], distance to the health institutions [not a big problem (AOR = 1.21, 95%CI: 1.04–1.39)], community-level literacy (AOR = 1.07, 95%CI: 1.03–1.12), and community level service utilization (AOR = 2.67,95%CI:2.21–3.24) were significantly associated with optimal ANC visits. From the spatial analysis result, an Optimal ANC visit was observed in Addis Ababa, Tigray, Harari, and Dire Dawa regions whereas areas with no optimal ANC visit were Afar, Amhara, Oromia Benishangul, SNNP, and Somalia regions. CONCLUSION: Living in peripheral regions of the country and in rural areas, lower educational status of male partners and distance to health institutions were prohibiting factors for an adequate number of visits. In this study, community-level literacy and community level service utilizations were were also affect womens’ ANC utilization which implies community-level interventions should be considered for improving antenatal care utilization and better health outcomes. The government should give special attention to the regions like Afar, Amhara, Oromia, Benishangul, SNNP, and Somalia which had low optimal ANC visits.
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spelling pubmed-70574762020-03-10 Spatial distribution and determinants of an optimal ANC visit among pregnant women in Ethiopia: further analysis of 2016 Ethiopia demographic health survey Tessema, Zemenu Tadesse Animut, Yaregal BMC Pregnancy Childbirth Research Article BACKGROUND: Antenatal care (ANC) is essential to improve maternal and newborn health and wellbeing. Antenatal care coverage is improving in Africa since over two-thirds of pregnant women have at least one ANC contact. However, to realize the complete life-saving potential that ANC guarantees for mothers and babies, at least four visits providing essential evidence-based interventions are required.. Therefore, this study was conducted to identify determinants of an optimal ANC visit and its spatial distribution in Ethiopia. METHODS: This study is a secondary data analysis of the 2016 Ethiopian Demographic and Health Survey (EDHS). A total of 8025 women who had a live birth in the five years preceding the survey were included in this study. STATA 14 software and ArcGIS10.7 software were used for analysis. The generalized estimating equation (GEE) model was fitted to identify factors associated with an optimal ANC visit. Crude and Adjusted odds ratio with a 95% CI computed to assess the strength of association between explanatory and outcome variables. RESULTS: This study revealed that rural residence (AOR = 0.59, 95%CI: 0.45–0.77),male partners educational status [secondary school (AOR = 1.33, 95%CI: 1.05–1.67)], distance to the health institutions [not a big problem (AOR = 1.21, 95%CI: 1.04–1.39)], community-level literacy (AOR = 1.07, 95%CI: 1.03–1.12), and community level service utilization (AOR = 2.67,95%CI:2.21–3.24) were significantly associated with optimal ANC visits. From the spatial analysis result, an Optimal ANC visit was observed in Addis Ababa, Tigray, Harari, and Dire Dawa regions whereas areas with no optimal ANC visit were Afar, Amhara, Oromia Benishangul, SNNP, and Somalia regions. CONCLUSION: Living in peripheral regions of the country and in rural areas, lower educational status of male partners and distance to health institutions were prohibiting factors for an adequate number of visits. In this study, community-level literacy and community level service utilizations were were also affect womens’ ANC utilization which implies community-level interventions should be considered for improving antenatal care utilization and better health outcomes. The government should give special attention to the regions like Afar, Amhara, Oromia, Benishangul, SNNP, and Somalia which had low optimal ANC visits. BioMed Central 2020-03-04 /pmc/articles/PMC7057476/ /pubmed/32131759 http://dx.doi.org/10.1186/s12884-020-2795-4 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
Tessema, Zemenu Tadesse
Animut, Yaregal
Spatial distribution and determinants of an optimal ANC visit among pregnant women in Ethiopia: further analysis of 2016 Ethiopia demographic health survey
title Spatial distribution and determinants of an optimal ANC visit among pregnant women in Ethiopia: further analysis of 2016 Ethiopia demographic health survey
title_full Spatial distribution and determinants of an optimal ANC visit among pregnant women in Ethiopia: further analysis of 2016 Ethiopia demographic health survey
title_fullStr Spatial distribution and determinants of an optimal ANC visit among pregnant women in Ethiopia: further analysis of 2016 Ethiopia demographic health survey
title_full_unstemmed Spatial distribution and determinants of an optimal ANC visit among pregnant women in Ethiopia: further analysis of 2016 Ethiopia demographic health survey
title_short Spatial distribution and determinants of an optimal ANC visit among pregnant women in Ethiopia: further analysis of 2016 Ethiopia demographic health survey
title_sort spatial distribution and determinants of an optimal anc visit among pregnant women in ethiopia: further analysis of 2016 ethiopia demographic health survey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057476/
https://www.ncbi.nlm.nih.gov/pubmed/32131759
http://dx.doi.org/10.1186/s12884-020-2795-4
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