METHODS: We used data from 2019 Ethiopian Mini Demographic and Health Survey. This data was multi-level, taking into account factors at the individual and community levels. In order to capture the multi-level structure of this data and make more reliable and broadly applicable conclusions about the variables influencing the use of modern contraceptives at the individual and community levels, we employed a two-level mixed-effects logistic regression model. In addition, we used cross-tabulation analysis to know the percentage of modern contraception users (reproductive-aged women) across their socio-economic, demographic, and health characteristics. A total of 8196 reproductive aged (15-49) women were included in this study.
RESULTS: From a total of 8196 reproductive-aged women, 2495(30.4%) were using modern contraceptive method and the rest 5701(69.6%) did not use any modern contraceptive methods. Among 2495 contraceptive users, 1657 (67.3%) used injections and 533 (21.7%) used implants/Norplant. At a 5% level of significance, the result from the two-level binary logistic regression model revealed that the predictors; Age of women, education level, religion, wealth index, knowledge of modern contraception method, number of died children, number of living children, family size, total children ever born and contextual region have significant effect on the use of modern contraception method.
CONCLUSIONS: Reproductive-aged women in Ethiopia with more living children, residing in urban/agrarian region, younger, wealthier, married, and more educated, were more likely to be modern contraceptive users. The concerned bodies in Ethiopia should bring forward the intervention strategy and should expand the existed programs to improve the use of modern contraception methods among reproductive-aged women in Ethiopia. Especially, they should give special attention to reproductive-aged women of less income, resident in pastoralist region, less educated, unmarried, and haven\'t living child.
方法:我们使用了2019年埃塞俄比亚迷你人口与健康调查的数据。这个数据是多层次的,考虑到个人和社区层面的因素。为了捕捉这些数据的多层次结构,并就影响个人和社区使用现代避孕药具的变量做出更可靠和广泛适用的结论,我们采用两级混合效应逻辑回归模型.此外,我们使用交叉列表分析来了解现代避孕使用者(育龄妇女)在其社会经济,人口统计学,和健康特征。本研究共纳入8196名育龄(15-49岁)妇女。
结果:在总共8196名育龄妇女中,2495(30.4%)使用现代避孕方法,其余5701(69.6%)没有使用任何现代避孕方法。在2495名避孕药具使用者中,1657(67.3%)使用注射剂,533(21.7%)使用植入物/Norplant。在5%的显著性水平上,两水平二元逻辑回归模型的结果表明,预测因素;女性年龄,教育水平,宗教,财富指数,现代避孕方法的知识,死亡儿童人数,活着的孩子的数量,家庭大小,出生的总儿童和上下文区域对现代避孕方法的使用有显著影响。
结论:埃塞俄比亚育龄妇女有更多的活儿,居住在城市/农业地区,年轻,更富有,已婚,受过更多的教育,更有可能是现代避孕使用者。埃塞俄比亚的有关机构应提出干预战略,并应扩大现有计划,以改善埃塞俄比亚育龄妇女对现代避孕方法的使用。尤其是,他们应该特别关注收入较低的育龄妇女,居住在牧区,受教育程度较低,未婚,还没有活着的孩子。