American Journal of Theoretical and Applied Statistics 2015; 4(5): 322-328 Published online July 30, 2015 (http://www.sciencepublishinggroup.com/j/ajtas) doi: 10.11648/j.ajtas.20150405.12 ISSN: 2326-8999 (Print); ISSN: 2326-9006 (Online) Analysis of Determinants of Antenatal Care Services Utilization in Nairobi County Using Logistic Regression Model Kennedy Sakaya Barasa * , Anthony Kibira Wanjoya, Anthony Gichuhi Waititu Department of Statistics and Actuarial Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya Email address: sakayak33@gmail.com (K. S. Barasa), awanjoya@gmail.com (A. K. Wanjoya), agwaititu@gmail.com (A. G. Waititu) To cite this article: Kennedy Sakaya Barasa, Anthony Kibira Wanjoya, Anthony Gichuhi Waititu. Analysis of Determinants of Antenatal Care Services Utilization in Nairobi County Using Logistic Regression Model. American Journal of Theoretical and Applied Statistics. Vol. 4, No. 5, 2015, pp. 322-328. doi: 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. Keywords: Antenatal Care, Nairobi, Logistic Regression, Variables, Covariates 1. Introduction Antenatal care is the care a woman receives throughout her pregnancy in order to ensure that woman and newborns survive pregnancy and child birth. (WHO,2003).This care is a key entry point for pregnant woman to receive a broad range of health promotion and preventive health services, including nutritional support and prevention and treatment of anemia; prevention, detection and treatment of malaria, tuberculosis and sexually transmitted infections (particularly prevention of HIV transmission from mother to child); and tetanus toxoid immunization. It’s always an opportunity to promote the benefits of skilled attendance at birth and to encourage women to seek postpartum care for themselves and their newborns Antenatal care, a component of safe motherhood, focuses on birth preparedness and readiness to handle complications. The primary aim of ANC is ensuring prevention, early detection and prompt management of pregnancy related complications. The antenatal period presents opportunities for reaching pregnant women with a number of interventions that may be vital to their health and well-being and that of their infants. (Koblinsky and Heichelheim, 1999) Focused Antenatal Care requires four comprehensive ANC visits, (MOH, 2006), delivery in a well-equipped health facility with skilled health care providers or assistance from a skilled professional when giving birth at home, access to emergency obstetric care and a timely postpartum visit (Singh, et al., 2009) 1.1. Statement of the Problem Most of world’s maternal deaths occur in developing world though majority of deaths and are avoidable. Over the years, efforts to reduce maternal mortality and morbidity have included promoting antenatal care, providing family planning services, and improving essential obstetric care. Despite such interventions, maternal mortality rates remain high in Kenya. There is need to assess whether the interventions made are efficient enough to reduce the maternal mortality rates through utilization of the antenatal and delivery care services in Nairobi county.