Analysis of Determinants of Antenatal Care Services Utilization in Nairobi County Using Logistic Regression Model

Kennedy Sakaya Barasa; Anthony Kibira Wanjoya; Anthony Gichuhi Waititu

doi:doi:10.11648/j.ajtas.20150405.12

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Analysis of Determinants of Antenatal Care Services Utilization in Nairobi County Using Logistic Regression Model

Kennedy Sakaya Barasa, Anthony Kibira Wanjoya, Anthony Gichuhi Waititu

Published in American Journal of Theoretical and Applied Statistics (Volume 4, Issue 5)

Received: 14 July 2015 Accepted: 24 July 2015 Published: 1 August 2015

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Abstract

Objectives: The aim of this study is to assess antenatal care service utilization and determine the factors associated with antenatal care non attendance in Nairobi County. Methods: The study used data that was collected in the county by use of questionnaires in which a total of 306 mothers participated. Data Analysis: The data was analyzed using R-software version 3.0.2, and the report was represented in form of tables. Here, Logistic regression model was used to model some of effects of the demographic and socio-economic independent variables. Results: The study found out that the independent variables, age, employment status, education level, parity and husband’s education level were the determinants of antenatal care service utilization in Nairobi County. The relationship between the covariates and antenatal care service utilization were significant at α=0.05 Conclusions: The study suggested that mothers in Nairobi County should be educated or enlightened on matters that concern antenatal health care utilization so as to increase the percentage of those mothers that attend the health facilities.

Published in	American Journal of Theoretical and Applied Statistics (Volume 4, Issue 5)
DOI	10.11648/j.ajtas.20150405.12
Page(s)	322-328
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), 2015. Published by Science Publishing Group

Keywords

Antenatal Care, Nairobi, Logistic Regression, Variables, Covariates

References

[1]	Edward Nketiah‐Amponsah, Bernardin Senadza, Eric Arthur, (2013) "Determinants of utilization of antenatal care services in developing countries: Recent evidence from Ghana", African Journal of Economic and Management Studies, Vol. 4 Iss: 1, pp.58 - 73
[2]	Hosmer D.W and Lemeshow S, (2000), Applied Logistic Regression 2nd Ed. John Wiley & Sons, Inc. Canada. PP1-17
[3]	Kamal, S.M.M. (2009). Factors Affecting Utilization of Skilled Maternity care Services among Married Adolescents in Bangladesh, Asian Population Studies, PP.153-170
[4]	Koblinsky,O Campbell and J Heichelheim: Bull World Health Organ, (1999), 77:399-406
[5]	MOH, 2006. Essential Obstetric Care Manual. s.l.:s.n.Nairobi-Kenya: MOH Kenya
[6]	Ntambue et al (2012). Determinants of maternal health utilization in uurban settings of Democratic Republic of Congo: A case study of Lubumbashi City. BMC Pregnancy and Childbirth
[7]	Pell C, Meñaca A, Were F, Afrah NA, Chatio S, Manda-Taylor L, et al. (2013) Factors Affecting Antenatal Care Attendance: Results from Qualitative Studies in Ghana, Kenya and Malawi. PLoS ONE 8(1): e53747. doi:10.1371/journal.pone.0053747
[8]	Ronsmans, C. and Graham, W. J., (2006). Maternal mortality: who, when, where, and why. The Lancet, September. PP 1189-1200.
[9]	Shiferaw et al (2013). Why do women prefer home births in Ethopia? BMC Pregnancy and Childbirth
[10]	Singh, S., Darroch, J. E., Ashford, L. S. and Vlassoff, M., (2009). Adding It Up: The Costs and Benefi ts of Investing in Family Planning and Maternal and Newborn Health, New York: Guttmacher Institute and United Nations Population Fund.
[11]	Tabachnick, B and Fidell, L. (1996). Using Multivariate Statistics, 3rd edition. Harper Collins.
[12]	UNECA/AUC/AfDB, (2010). Assessing Progress in Africa towards the Millennium Development Goals, New York: ECA; AU; ADBG; UNDP.
[13]	United Nations (2008). The Millenium Development Goals Report, New York.
[14]	WHO, (2003). Antenatal care in developing countries: promises, achievements and missed opportunities: an analysis of trends, levels and differentials, 1990-2001. WHO Press
[15]	WHO (2007). Maternal mortality in 2005: estimates developed by WHO, UNICEF, UNFPA, and the World Bank. Geneva: WHO

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Kennedy Sakaya Barasa, Anthony Kibira Wanjoya, Anthony Gichuhi Waititu. (2015). Analysis of Determinants of Antenatal Care Services Utilization in Nairobi County Using Logistic Regression Model. American Journal of Theoretical and Applied Statistics, 4(5), 322-328. https://doi.org/10.11648/j.ajtas.20150405.12

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ACS Style

Kennedy Sakaya Barasa; Anthony Kibira Wanjoya; Anthony Gichuhi Waititu. Analysis of Determinants of Antenatal Care Services Utilization in Nairobi County Using Logistic Regression Model. Am. J. Theor. Appl. Stat. 2015, 4(5), 322-328. doi: 10.11648/j.ajtas.20150405.12

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AMA Style

Kennedy Sakaya Barasa, Anthony Kibira Wanjoya, Anthony Gichuhi Waititu. Analysis of Determinants of Antenatal Care Services Utilization in Nairobi County Using Logistic Regression Model. Am J Theor Appl Stat. 2015;4(5):322-328. doi: 10.11648/j.ajtas.20150405.12

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@article{10.11648/j.ajtas.20150405.12,
  author = {Kennedy Sakaya Barasa and Anthony Kibira Wanjoya and Anthony Gichuhi Waititu},
  title = {Analysis of Determinants of Antenatal Care Services Utilization in Nairobi County Using Logistic Regression Model},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {4},
  number = {5},
  pages = {322-328},
  doi = {10.11648/j.ajtas.20150405.12},
  url = {https://doi.org/10.11648/j.ajtas.20150405.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20150405.12},
  abstract = {Objectives: The aim of this study is to assess antenatal care service utilization and determine the factors associated with antenatal care non attendance in Nairobi County. Methods: The study used data that was collected in the county by use of questionnaires in which a total of 306 mothers participated. Data Analysis: The data was analyzed using R-software version 3.0.2, and the report was represented in form of tables. Here, Logistic regression model was used to model some of effects of the demographic and socio-economic independent variables. Results: The study found out that the independent variables, age, employment status, education level, parity and husband’s education level were the determinants of antenatal care service utilization in Nairobi County. The relationship between the covariates and antenatal care service utilization were significant at α=0.05 Conclusions: The study suggested that mothers in Nairobi County should be educated or enlightened on matters that concern antenatal health care utilization so as to increase the percentage of those mothers that attend the health facilities.},
 year = {2015}
}

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TY  - JOUR
T1  - Analysis of Determinants of Antenatal Care Services Utilization in Nairobi County Using Logistic Regression Model
AU  - Kennedy Sakaya Barasa
AU  - Anthony Kibira Wanjoya
AU  - Anthony Gichuhi Waititu
Y1  - 2015/08/01
PY  - 2015
N1  - https://doi.org/10.11648/j.ajtas.20150405.12
DO  - 10.11648/j.ajtas.20150405.12
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 322
EP  - 328
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20150405.12
AB  - Objectives: The aim of this study is to assess antenatal care service utilization and determine the factors associated with antenatal care non attendance in Nairobi County. Methods: The study used data that was collected in the county by use of questionnaires in which a total of 306 mothers participated. Data Analysis: The data was analyzed using R-software version 3.0.2, and the report was represented in form of tables. Here, Logistic regression model was used to model some of effects of the demographic and socio-economic independent variables. Results: The study found out that the independent variables, age, employment status, education level, parity and husband’s education level were the determinants of antenatal care service utilization in Nairobi County. The relationship between the covariates and antenatal care service utilization were significant at α=0.05 Conclusions: The study suggested that mothers in Nairobi County should be educated or enlightened on matters that concern antenatal health care utilization so as to increase the percentage of those mothers that attend the health facilities.
VL  - 4
IS  - 5
ER  -

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Author Information

Kennedy Sakaya Barasa

Department of Statistics and Actuarial Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
Anthony Kibira Wanjoya

Department of Statistics and Actuarial Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
Anthony Gichuhi Waititu

Department of Statistics and Actuarial Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya

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APA Style

Kennedy Sakaya Barasa, Anthony Kibira Wanjoya, Anthony Gichuhi Waititu. (2015). Analysis of Determinants of Antenatal Care Services Utilization in Nairobi County Using Logistic Regression Model. American Journal of Theoretical and Applied Statistics, 4(5), 322-328. https://doi.org/10.11648/j.ajtas.20150405.12

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ACS Style

Kennedy Sakaya Barasa; Anthony Kibira Wanjoya; Anthony Gichuhi Waititu. Analysis of Determinants of Antenatal Care Services Utilization in Nairobi County Using Logistic Regression Model. Am. J. Theor. Appl. Stat. 2015, 4(5), 322-328. doi: 10.11648/j.ajtas.20150405.12

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AMA Style

Kennedy Sakaya Barasa, Anthony Kibira Wanjoya, Anthony Gichuhi Waititu. Analysis of Determinants of Antenatal Care Services Utilization in Nairobi County Using Logistic Regression Model. Am J Theor Appl Stat. 2015;4(5):322-328. doi: 10.11648/j.ajtas.20150405.12

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@article{10.11648/j.ajtas.20150405.12,
  author = {Kennedy Sakaya Barasa and Anthony Kibira Wanjoya and Anthony Gichuhi Waititu},
  title = {Analysis of Determinants of Antenatal Care Services Utilization in Nairobi County Using Logistic Regression Model},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {4},
  number = {5},
  pages = {322-328},
  doi = {10.11648/j.ajtas.20150405.12},
  url = {https://doi.org/10.11648/j.ajtas.20150405.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20150405.12},
  abstract = {Objectives: The aim of this study is to assess antenatal care service utilization and determine the factors associated with antenatal care non attendance in Nairobi County. Methods: The study used data that was collected in the county by use of questionnaires in which a total of 306 mothers participated. Data Analysis: The data was analyzed using R-software version 3.0.2, and the report was represented in form of tables. Here, Logistic regression model was used to model some of effects of the demographic and socio-economic independent variables. Results: The study found out that the independent variables, age, employment status, education level, parity and husband’s education level were the determinants of antenatal care service utilization in Nairobi County. The relationship between the covariates and antenatal care service utilization were significant at α=0.05 Conclusions: The study suggested that mothers in Nairobi County should be educated or enlightened on matters that concern antenatal health care utilization so as to increase the percentage of those mothers that attend the health facilities.},
 year = {2015}
}

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TY  - JOUR
T1  - Analysis of Determinants of Antenatal Care Services Utilization in Nairobi County Using Logistic Regression Model
AU  - Kennedy Sakaya Barasa
AU  - Anthony Kibira Wanjoya
AU  - Anthony Gichuhi Waititu
Y1  - 2015/08/01
PY  - 2015
N1  - https://doi.org/10.11648/j.ajtas.20150405.12
DO  - 10.11648/j.ajtas.20150405.12
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 322
EP  - 328
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20150405.12
AB  - Objectives: The aim of this study is to assess antenatal care service utilization and determine the factors associated with antenatal care non attendance in Nairobi County. Methods: The study used data that was collected in the county by use of questionnaires in which a total of 306 mothers participated. Data Analysis: The data was analyzed using R-software version 3.0.2, and the report was represented in form of tables. Here, Logistic regression model was used to model some of effects of the demographic and socio-economic independent variables. Results: The study found out that the independent variables, age, employment status, education level, parity and husband’s education level were the determinants of antenatal care service utilization in Nairobi County. The relationship between the covariates and antenatal care service utilization were significant at α=0.05 Conclusions: The study suggested that mothers in Nairobi County should be educated or enlightened on matters that concern antenatal health care utilization so as to increase the percentage of those mothers that attend the health facilities.
VL  - 4
IS  - 5
ER  -

Copy | Download