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The Usage of Antenatal Care Visit and Its Determinant Factors Using 2016 EDHS Data: Application of Count Regression Models

Received: 6 December 2021    Accepted: 5 January 2022    Published: 20 January 2022
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Abstract

Antenatal care gives women and their families the information and advice they need to have a healthy pregnancy, have safe childbirth, and recover postpartum. ANC is an important intervention for lowering maternal and newborn mortality. There have been some studies done on determinants that affect the number of the minimum recommended antenatal care visits attendance, and it would be interesting to see the number of antenatal care visits and its determinant factor among pregnant women in Ethiopia from the 2016 Ethiopia Demographic Health Survey. The data was exported to STATASE 14 (64-bit) software was used for analysis and a weighted sample of 7575 women who gave birth in the last five years before the survey was included in the final analysis. A multivariable Negative Binomial regression analysis approach was carried out to identify the number of ANC visits and the determinants that affect the number of ANC visits, because the response variable was over dispersed. The aim of this study to assess the use of antenatal care visits and the factors affecting it using the 2016 EDHS Data through the application of count regression models. Finally, the IRR was used to report the relationship between the frequency of ANC and explanatory variables, along with its 95 percent confidence interval. According to the analysis (62.79%) of mothers had at least one antenatal care visit, (37.21%) had no antenatal care visit and only 31.88% attended four or more ANC visits during their pregnancy in Ethiopia. Maternal age, residence, maternal education, wealth quintile, place of ANC, ANC providers, and first ANC visit were significantly associated with level of antenatal care visits. Generally, frequency of antenatal care visits is low in Ethiopia. Its recommended to all concerned bodies should focus on their program on the number of ANC visits in all Ethiopia to improve both maternal and child health.

Published in Journal of Gynecology and Obstetrics (Volume 10, Issue 1)
DOI 10.11648/j.jgo.20221001.13
Page(s) 14-25
Creative Commons

This is an Open Access article, 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 or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Number of Antenatal Care Visits, Count Regression Model, EDHS

References
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    Tigist Tefera Worku, Cheru Atsmegiorgis. (2022). The Usage of Antenatal Care Visit and Its Determinant Factors Using 2016 EDHS Data: Application of Count Regression Models. Journal of Gynecology and Obstetrics, 10(1), 14-25. https://doi.org/10.11648/j.jgo.20221001.13

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    Tigist Tefera Worku; Cheru Atsmegiorgis. The Usage of Antenatal Care Visit and Its Determinant Factors Using 2016 EDHS Data: Application of Count Regression Models. J. Gynecol. Obstet. 2022, 10(1), 14-25. doi: 10.11648/j.jgo.20221001.13

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    AMA Style

    Tigist Tefera Worku, Cheru Atsmegiorgis. The Usage of Antenatal Care Visit and Its Determinant Factors Using 2016 EDHS Data: Application of Count Regression Models. J Gynecol Obstet. 2022;10(1):14-25. doi: 10.11648/j.jgo.20221001.13

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  • @article{10.11648/j.jgo.20221001.13,
      author = {Tigist Tefera Worku and Cheru Atsmegiorgis},
      title = {The Usage of Antenatal Care Visit and Its Determinant Factors Using 2016 EDHS Data: Application of Count Regression Models},
      journal = {Journal of Gynecology and Obstetrics},
      volume = {10},
      number = {1},
      pages = {14-25},
      doi = {10.11648/j.jgo.20221001.13},
      url = {https://doi.org/10.11648/j.jgo.20221001.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jgo.20221001.13},
      abstract = {Antenatal care gives women and their families the information and advice they need to have a healthy pregnancy, have safe childbirth, and recover postpartum. ANC is an important intervention for lowering maternal and newborn mortality. There have been some studies done on determinants that affect the number of the minimum recommended antenatal care visits attendance, and it would be interesting to see the number of antenatal care visits and its determinant factor among pregnant women in Ethiopia from the 2016 Ethiopia Demographic Health Survey. The data was exported to STATASE 14 (64-bit) software was used for analysis and a weighted sample of 7575 women who gave birth in the last five years before the survey was included in the final analysis. A multivariable Negative Binomial regression analysis approach was carried out to identify the number of ANC visits and the determinants that affect the number of ANC visits, because the response variable was over dispersed. The aim of this study to assess the use of antenatal care visits and the factors affecting it using the 2016 EDHS Data through the application of count regression models. Finally, the IRR was used to report the relationship between the frequency of ANC and explanatory variables, along with its 95 percent confidence interval. According to the analysis (62.79%) of mothers had at least one antenatal care visit, (37.21%) had no antenatal care visit and only 31.88% attended four or more ANC visits during their pregnancy in Ethiopia. Maternal age, residence, maternal education, wealth quintile, place of ANC, ANC providers, and first ANC visit were significantly associated with level of antenatal care visits. Generally, frequency of antenatal care visits is low in Ethiopia. Its recommended to all concerned bodies should focus on their program on the number of ANC visits in all Ethiopia to improve both maternal and child health.},
     year = {2022}
    }
    

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    T1  - The Usage of Antenatal Care Visit and Its Determinant Factors Using 2016 EDHS Data: Application of Count Regression Models
    AU  - Tigist Tefera Worku
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    AB  - Antenatal care gives women and their families the information and advice they need to have a healthy pregnancy, have safe childbirth, and recover postpartum. ANC is an important intervention for lowering maternal and newborn mortality. There have been some studies done on determinants that affect the number of the minimum recommended antenatal care visits attendance, and it would be interesting to see the number of antenatal care visits and its determinant factor among pregnant women in Ethiopia from the 2016 Ethiopia Demographic Health Survey. The data was exported to STATASE 14 (64-bit) software was used for analysis and a weighted sample of 7575 women who gave birth in the last five years before the survey was included in the final analysis. A multivariable Negative Binomial regression analysis approach was carried out to identify the number of ANC visits and the determinants that affect the number of ANC visits, because the response variable was over dispersed. The aim of this study to assess the use of antenatal care visits and the factors affecting it using the 2016 EDHS Data through the application of count regression models. Finally, the IRR was used to report the relationship between the frequency of ANC and explanatory variables, along with its 95 percent confidence interval. According to the analysis (62.79%) of mothers had at least one antenatal care visit, (37.21%) had no antenatal care visit and only 31.88% attended four or more ANC visits during their pregnancy in Ethiopia. Maternal age, residence, maternal education, wealth quintile, place of ANC, ANC providers, and first ANC visit were significantly associated with level of antenatal care visits. Generally, frequency of antenatal care visits is low in Ethiopia. Its recommended to all concerned bodies should focus on their program on the number of ANC visits in all Ethiopia to improve both maternal and child health.
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Author Information
  • Food, Medicine and Health Care Administration and Control Authority, Lemi Kura Sub City Administration Office, Addis Ababa, Ethiopia

  • Department of Statistics, College of Natural and Computational Sciences, Hawassa University, Hawassa, Ethiopia

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