Assessment of Intention to Use Contraceptive Methods With Spatial Distributions and Associated Factors Among Women in Ethiopia: Evidence From EDHS 2016

Abstract Background : Modern contraceptive methods have immense influences on the health of mothers and their children. Using contraceptive methods is seen to control family size and unnecessary pregnancies. And it leads to peaceful and known family status. Considering different factors like resources and various cultural aspects, assessing the intention to use might bring areas with these problems into the light to act on them. Methods : We used multilevel logistic regression and spatial analysis techniques to the data from the 2016 Ethiopian demographic health survey. We downloaded the data from the EDHS website after the approval of the request for the data. We pooled the data to assess the intention to use contraceptive methods among 15-49 age women. After applying bivariate and multilevel binary logistic regression, we presented the information on Community and Individual level using tables, figures, and spatial distribution. We applied a p-value <0.05 and adjusted odds ratios (AOR) with 95% confidence intervals (CI). Result : the intention to use contraceptive methods was 44.11%. Spatially, we found intention to use contraception highly clustered in North and Western Ethiopia. The average number of children (4.5±2.9), age at first cohabitation (16.9±3.99), and the ideal number of children (4.77±2.0). Some other factors associated with intention to use contraceptive methods were age, education, the information was given by health facility, age at first cohabitation, the ideal number of children, Wealth status, and Regions that were significant. Conclusion : We observed various distributions among regions. Education status and various socio-cultural aspects need serious considerations to increase the intention to use contraceptive methods. Besides the efforts done, policy decisions might need to consider this finding and uphill the intervention against associated factors like socio-cultural and demographic variables in those areas.