American Journal of Theoretical and Applied Statistics

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Statistical Analysis of Determinants of Maternal Institutional Delivery Service Utilization in Ethiopia

Received: 05 February 2015    Accepted: 09 March 2015    Published: 24 March 2015
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Abstract

Utilization of maternal healthcare service is a proximate determinant of maternal morbidities and mortalities. On the way to improve maternal health care service, it is important to understand factors influencing maternal health care service utilization. The main purpose of this study is to determine statistically the correlates of maternal place of delivery in Ethiopia, using 2011 EDHS data. The overall frequency of maternal delivery at heath facility in Ethiopia was 12.8%. Logistic regression model was used to model the effects of selected socioeconomic and demographic covariates. It was found that the covariates place of residence, birth order of child, mother’s age at child birth, mother’s educational level, household economic status and mothers employment status were the most important determinants of mothers place of delivery in the Ethiopia. It is suggested that to improve maternal healthcare service utilization, maternal education should be supported as a policy and this could be achieved through female literacy programs in the country.

DOI 10.11648/j.ajtas.20150403.11
Published in American Journal of Theoretical and Applied Statistics (Volume 4, Issue 3, May 2015)
Page(s) 71-77
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

Place of Delivery, Determinants, Logistic Regression, Ethiopia

References
[1] Afifi, A.A. & Clark, V. (1990). Computer Aided Multivariate Analysis, 2nd Edition. New York: Van Nostrand Reinhold.
[2] Asfawosen A.et al (2014). Factors Associated with Maternal Health Care Services in Enderta District, Tigray, Northern Ethiopia: A Cross Sectional Study. American Journal of Nursing Science. Vol. 3, No. 6, pp. 117-125. doi: 10.11648/j.ajns.20140306.15
[3] Babalola S, Fatusi A(2009). Determinants of use of maternal health services in Nigeria, looking beyond individual and household factors. BMC Pregnancy Childbirth.
[4] Central Statistical Agency [Ethiopia] and ICF International. 2011. Ethiopia Demographic and Health Survey 2011. Addis Ababa, Ethiopia and Calverton, Maryland, USA: Central Statistical Agency and ICF International.
[5] Collet, D. (2003). Modeling Binary Data. Chapman & Hall, London.
[6] Ethiopian Society of Population Studies (2008). Maternal healthcare seeking behavior in Ethiopia: Findings from EDHS 2005. Addis Ababa, Ethiopia.
[7] Gellman, A. and Hill, J. (2007). Data Analysis Using Regression and Multilevel or Hierarchical Models. Cambridge University Press, Columbia University.
[8] Greene, W. (2003). Econometric Analysis, 5th edition. Upper Saddle River, New Jersey
[9] Hosmer, D. and Lemeshow, S. (2000). Applied Logistic Regression. John Wiley and Sons, Inc., Newyork.
[10] Kamal, S.M.M. (2009). Factors Affecting Utilization of Skilled Maternity Care Services Among Married Adolescents in Bangladesh, Asian Population Studies, PP.153-170.
[11] McCullough, P. and Nelder, J. A. (1983). Generalized Linear Models. Chapman & Hall, New York.
[12] Ntambue et al (2012).: Determinants of maternal health services utilization in urban settings of the Democratic Republic of Congo: A Case study of Lubumbashi City. BMC Pregnancy and Childbirt.
[13] Shiferaw et al (2013).Why do women prefer home births in Ethiopia? BMC Pregnancy and Childbirth
[14] Tabachnick, B. and Fidell, L. (1996). Using Multivariate Statistics, 3rd edition. Harper Collins.
[15] Teferra AS, Alemu FM, Woldeyohannes SM (2012): Institutional delivery service utilization and associated factors among mothers who gave birth in the last 12 months in Sekela District, North West of Ethiopia: a community-based cross sectional study. BMC Pregnancy Childbirth
[16] United Nations (2008). The Millennium Development Goals Report, New York.
[17] WHO (2012). Trends in maternal mortality: 1990 to 2010 Estimates developed by WHO, UNICEF, UNFPA and The World Bank.
[18] UNFPA (2004): State of the World’s Population. New York: Maternal Health.
[19] WHO (2008), Maternal Health, viewed 2 November 2008, Available from: URL:http://www.who.int/topics/maternal_health/en/
[20] World Health Organization (2007). Maternal mortality in 2005: estimates developed by WHO, UNICEF, UNFPA, and the World Bank. Geneva: WHO.
Author Information
  • Department of Statistics, Haramaya University, Dire Dawa, Ethiopia

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  • APA Style

    Kasahun Takele Geneti. (2015). Statistical Analysis of Determinants of Maternal Institutional Delivery Service Utilization in Ethiopia. American Journal of Theoretical and Applied Statistics, 4(3), 71-77. https://doi.org/10.11648/j.ajtas.20150403.11

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    Kasahun Takele Geneti. Statistical Analysis of Determinants of Maternal Institutional Delivery Service Utilization in Ethiopia. Am. J. Theor. Appl. Stat. 2015, 4(3), 71-77. doi: 10.11648/j.ajtas.20150403.11

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    AMA Style

    Kasahun Takele Geneti. Statistical Analysis of Determinants of Maternal Institutional Delivery Service Utilization in Ethiopia. Am J Theor Appl Stat. 2015;4(3):71-77. doi: 10.11648/j.ajtas.20150403.11

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  • @article{10.11648/j.ajtas.20150403.11,
      author = {Kasahun Takele Geneti},
      title = {Statistical Analysis of Determinants of Maternal Institutional Delivery Service Utilization in Ethiopia},
      journal = {American Journal of Theoretical and Applied Statistics},
      volume = {4},
      number = {3},
      pages = {71-77},
      doi = {10.11648/j.ajtas.20150403.11},
      url = {https://doi.org/10.11648/j.ajtas.20150403.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajtas.20150403.11},
      abstract = {Utilization of maternal healthcare service is a proximate determinant of maternal morbidities and mortalities. On the way to improve maternal health care service, it is important to understand factors influencing maternal health care service utilization. The main purpose of this study is to determine statistically the correlates of maternal place of delivery in Ethiopia, using 2011 EDHS data. The overall frequency of maternal delivery at heath facility in Ethiopia was 12.8%. Logistic regression model was used to model the effects of selected socioeconomic and demographic covariates. It was found that the covariates place of residence, birth order of child, mother’s age at child birth, mother’s educational level, household economic status and mothers employment status were the most important determinants of  mothers place of delivery in the Ethiopia. It is suggested that to improve maternal healthcare service utilization, maternal education should be supported as a policy and this could be achieved through female literacy programs in the country.},
     year = {2015}
    }
    

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    AB  - Utilization of maternal healthcare service is a proximate determinant of maternal morbidities and mortalities. On the way to improve maternal health care service, it is important to understand factors influencing maternal health care service utilization. The main purpose of this study is to determine statistically the correlates of maternal place of delivery in Ethiopia, using 2011 EDHS data. The overall frequency of maternal delivery at heath facility in Ethiopia was 12.8%. Logistic regression model was used to model the effects of selected socioeconomic and demographic covariates. It was found that the covariates place of residence, birth order of child, mother’s age at child birth, mother’s educational level, household economic status and mothers employment status were the most important determinants of  mothers place of delivery in the Ethiopia. It is suggested that to improve maternal healthcare service utilization, maternal education should be supported as a policy and this could be achieved through female literacy programs in the country.
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