A Bayesian Analysis to Determine Factors Influencing the Intention Not to Use Contraceptives Among Sexually Active Women in Ethiopia

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Addis Ababa University


There are several possible reasons why sexually active women may not intend to use contraception. These include lack of knowledge about contraception, lack of knowledge about where contraceptives can be obtained, difficulty in obtaining contraceptives, high cost of contraceptives, separation from husband, desire for more children, opposition to family planning, health concerns or worries about side effects, presumed infecundity and religious prohibitions. This study aims to identify factors that affect the intention not to use contraceptives among sexually active women in Ethiopia. The data used for this study come from 200S Ethiopia Demographic and Health Survey (EDHS, 200S). We used Bayesian logistic regression model to model the effects of the covariates included. Inference is fully Bayesian based on Markov chain Monte Carlo techniques. These models allow us to analyze generalized linear effects of categorical covariates within a Bayesian framework for modeling and inference. The variables age of women, number of living children, place of residence, religion, educational level of women, knowledge of any method, ever use of contraceptive methods, heard contraceptive methods through radio and visited a health facility are found statistically significant. It is recommended that educational status and knowledge of a woman should be improved either through formal or through non-formal approaches; contraceptives information should be disseminated through media, and access to health facilities should be improved.