Abstract

Application of Discrete Choice Models in the Analysis of Determinants of Modern Contraceptive Uses among Married Women in Oromiya Region, Ethiopia: Binary Logistic Regression in Focus

Background: Discrete choice models such as binary logistic models have been very successful thanks to their ability to analyze the random behavior of individuals when deciding to use contraceptive methods. That is, contraceptive use is the privileged domain of application of discrete choice models. This study intends to give awareness of using contraception since the prevalence of using modern contraceptive methods is low in the country. Objectives: This study aims at presenting a binary logistic model and explores major determinants of modern contraceptive uses among married women in the Oromiya region. Methods: Ethiopian Demographic and Health Survey (2016) data was used to fit the objectives of the study. This data is collected by Central Statistical Agency every five years at the request of the Ministry of Health. The data was managed for 1474 married women in the region and analyzed by SPSS version 20. Binary logistic regression was used for the analysis of data. Results: The result of the binary logistic model shows that age of women in 5-year groups, age at first birth, type of place of residence, ever had a terminated pregnancy, number of living children, wealth status, and religious affiliation were found to be statistically significant. Conclusion: As age at first birth increases, the odds of using modern contraception decreases. Urban women were more likely to use modern contraceptives than their rural counterparts. Women who wanted the last child were less likely to use contraception whereas the poorest women were less likely to use modern contraceptives than the richest women.

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