A Bayesian Analysis to Determine Factors Influencing the Intention Not to Use Contraceptives Among Sexually Active Women in Ethiopia
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Date
2011-01
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Addis Ababa University
Abstract
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.