Applying Logistic Regression on Determinants of Antenatal Health Care Usage of Women’s at Hossana town, in Bobicho Kebele

Abstract

Antenatal health care (ANC) refers to pregnancy related health care provided by a doctor or a health worker in a health facility or home. ANC is the key entry point of a pregnant woman to receive broad range of health promotion and preventive services which promote the health of the mother and the baby. This study aimed to identify the factors affecting. Antenatal health care usage of women at Hossana town in Bobicho Kebele. In order to achieve our objective descriptive statistics, cross-tabulation and logistic regression statistical techniques were used for data analysis using socio-economic and demographic variables as explanatory variables and Antenatal health care usage of women as the response variable using R software. The results of descriptive statistics shows that 70(42.20%) of women were not use ANC and 96(57.80%) were use ANC and the inferential analysis show that age of women, women’s educational level, monthly average income, and material status of women, occupation of husband and utilization of accesses of health care were found to be important determinants of Antenatal health care usage of women in Hossana town at Bobicho Kebele. The result also suggested that adult, educated, married women were use ANC usage than the adolescent, uneducated and divorced and widowed women respectively. A woman’s having high monthly average income use ANC than having low monthly average income.  It is recommended that Governments should aware the women to use the Antenatal care usage of health service and all societies and concerned bodies must understand that education level of women and occupation of husband are the main determinant factors for the use of Antenatal care and usage of health services in our study area in Hossana town at Bobicho Keble.

Keywords: Antenatal health care usage, R software, Binary Logistic Regression

DOI: 10.7176/JMPB/63-01

Publication date: January 31^st 2020