Cargando…
Determinants of optimal antenatal care visit among pregnant women in Ethiopia: a multilevel analysis of Ethiopian mini demographic health survey 2019 data
BACKGROUND: Optimal antenatal care (ANC4+) needs to be used throughout pregnancy to reduce pregnancy complications and maternal mortality. The World Health Organization (WHO) recommends eight ANC contacts, while Ethiopia has the lowest coverage of at least four ANC visits. Therefore, this study aime...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898451/ https://www.ncbi.nlm.nih.gov/pubmed/35248079 http://dx.doi.org/10.1186/s12978-022-01365-2 |
_version_ | 1784663647323160576 |
---|---|
author | Yehualashet, Delelegn Emwodew Seboka, Binyam Tariku Tesfa, Getanew Aschalew Mamo, Tizalegn Tesfaye Seid, Elias |
author_facet | Yehualashet, Delelegn Emwodew Seboka, Binyam Tariku Tesfa, Getanew Aschalew Mamo, Tizalegn Tesfaye Seid, Elias |
author_sort | Yehualashet, Delelegn Emwodew |
collection | PubMed |
description | BACKGROUND: Optimal antenatal care (ANC4+) needs to be used throughout pregnancy to reduce pregnancy complications and maternal mortality. The World Health Organization (WHO) recommends eight ANC contacts, while Ethiopia has the lowest coverage of at least four ANC visits. Therefore, this study aimed to identify factors associated with optimal ANC visits among pregnant women in Ethiopia. METHODS: This study is a secondary data analysis of the 2019 Ethiopian Mini Demographic and Health Survey (EMDHS). A multilevel logistic regression model is set up to identify factors associated with optimal ANC visits. Adjusted odds ratios (AOR) with 95% confidence intervals (CI) were calculated to estimate the strength of the association between the outcome and the predictor variables. RESULTS: Overall, 43% of women had optimal ANC visits during their last pregnancy. Higher educated women are 3.99 times more likely (AOR = 3.99; 95% CI: 2.62–6.02) to have optimal ANC visits than women with no formal education. The wealthiest women are 2.09 times more likely (AOR = 2.09; 95% CI: 1.56–2.82) to have optimal ANC visits than women in the poorest quintile. The odds of optimal ANC visit is 42 percent lower in rural women (AOR = 0.58, 95% CI: 0.41–0.83) compared to women living in urban areas. CONCLUSION: Women's educational status, wealth status, mass media exposure, place of residence and region are factors that are significantly associated with optimal ANC visit. These findings help health care programmers and policymakers to introduce appropriate policies and programs to ensure optimal ANC coverage. Priority should be given to addressing economic and educational interventions. |
format | Online Article Text |
id | pubmed-8898451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88984512022-03-17 Determinants of optimal antenatal care visit among pregnant women in Ethiopia: a multilevel analysis of Ethiopian mini demographic health survey 2019 data Yehualashet, Delelegn Emwodew Seboka, Binyam Tariku Tesfa, Getanew Aschalew Mamo, Tizalegn Tesfaye Seid, Elias Reprod Health Research BACKGROUND: Optimal antenatal care (ANC4+) needs to be used throughout pregnancy to reduce pregnancy complications and maternal mortality. The World Health Organization (WHO) recommends eight ANC contacts, while Ethiopia has the lowest coverage of at least four ANC visits. Therefore, this study aimed to identify factors associated with optimal ANC visits among pregnant women in Ethiopia. METHODS: This study is a secondary data analysis of the 2019 Ethiopian Mini Demographic and Health Survey (EMDHS). A multilevel logistic regression model is set up to identify factors associated with optimal ANC visits. Adjusted odds ratios (AOR) with 95% confidence intervals (CI) were calculated to estimate the strength of the association between the outcome and the predictor variables. RESULTS: Overall, 43% of women had optimal ANC visits during their last pregnancy. Higher educated women are 3.99 times more likely (AOR = 3.99; 95% CI: 2.62–6.02) to have optimal ANC visits than women with no formal education. The wealthiest women are 2.09 times more likely (AOR = 2.09; 95% CI: 1.56–2.82) to have optimal ANC visits than women in the poorest quintile. The odds of optimal ANC visit is 42 percent lower in rural women (AOR = 0.58, 95% CI: 0.41–0.83) compared to women living in urban areas. CONCLUSION: Women's educational status, wealth status, mass media exposure, place of residence and region are factors that are significantly associated with optimal ANC visit. These findings help health care programmers and policymakers to introduce appropriate policies and programs to ensure optimal ANC coverage. Priority should be given to addressing economic and educational interventions. BioMed Central 2022-03-05 /pmc/articles/PMC8898451/ /pubmed/35248079 http://dx.doi.org/10.1186/s12978-022-01365-2 Text en © The Author(s) 2022 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 Yehualashet, Delelegn Emwodew Seboka, Binyam Tariku Tesfa, Getanew Aschalew Mamo, Tizalegn Tesfaye Seid, Elias Determinants of optimal antenatal care visit among pregnant women in Ethiopia: a multilevel analysis of Ethiopian mini demographic health survey 2019 data |
title | Determinants of optimal antenatal care visit among pregnant women in Ethiopia: a multilevel analysis of Ethiopian mini demographic health survey 2019 data |
title_full | Determinants of optimal antenatal care visit among pregnant women in Ethiopia: a multilevel analysis of Ethiopian mini demographic health survey 2019 data |
title_fullStr | Determinants of optimal antenatal care visit among pregnant women in Ethiopia: a multilevel analysis of Ethiopian mini demographic health survey 2019 data |
title_full_unstemmed | Determinants of optimal antenatal care visit among pregnant women in Ethiopia: a multilevel analysis of Ethiopian mini demographic health survey 2019 data |
title_short | Determinants of optimal antenatal care visit among pregnant women in Ethiopia: a multilevel analysis of Ethiopian mini demographic health survey 2019 data |
title_sort | determinants of optimal antenatal care visit among pregnant women in ethiopia: a multilevel analysis of ethiopian mini demographic health survey 2019 data |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898451/ https://www.ncbi.nlm.nih.gov/pubmed/35248079 http://dx.doi.org/10.1186/s12978-022-01365-2 |
work_keys_str_mv | AT yehualashetdelelegnemwodew determinantsofoptimalantenatalcarevisitamongpregnantwomeninethiopiaamultilevelanalysisofethiopianminidemographichealthsurvey2019data AT sebokabinyamtariku determinantsofoptimalantenatalcarevisitamongpregnantwomeninethiopiaamultilevelanalysisofethiopianminidemographichealthsurvey2019data AT tesfagetanewaschalew determinantsofoptimalantenatalcarevisitamongpregnantwomeninethiopiaamultilevelanalysisofethiopianminidemographichealthsurvey2019data AT mamotizalegntesfaye determinantsofoptimalantenatalcarevisitamongpregnantwomeninethiopiaamultilevelanalysisofethiopianminidemographichealthsurvey2019data AT seidelias determinantsofoptimalantenatalcarevisitamongpregnantwomeninethiopiaamultilevelanalysisofethiopianminidemographichealthsurvey2019data |