Abstract: The purpose of this research project is to model determinants of choices of contraceptive methods in Rwanda. Reviews show that Rwanda has dramatically increased the contraceptive prevalence rate from 4% in 2000 to 29% in 2010. Injectables dominates the national contraceptive prevalence in Rwanda (50.9) but no clear patterns about this selection. To inform policy makers, a secondary analysis of RDH2010 was done. Descriptive statistics was used to summarize categorical data, and chi-square test was used to show dependence between covariates and outcome. The test of collinearity between explanatory variables was done prior fitting a bi- and multi-variable multinomial logistic models so to produce a multivariate efficient model. Results have shown that relative to injectables, older women (35+ years), women with secondary or higher education and women with higher parity were more likely to choose sterilization (RRR=12.0, p=0.028; RRR=2.5, p=0.049; RRR=3.5, p=0.040), IUD (RRR=5.9, p=0.04; RRR=7.2, p=0.012; RRR=1.5, p=0.006) than their counterparts. Rural residents and unemployed women or women involved in informal agricultural activities were less likely to use sterilization (RRR=0.5, p=0.041; RRR=0.4, p=0.026) relative to the use of injectables than their fellow rural and employed women. Partner’s approval has a significant effect on the choice of sterilization (RRR=14.3, p=0.002) and barrier methods (RRR=6.0, p<0.001) over injectables. To increase contraception uptake, we recommend spousal involvement and giving priority and more focus on rural, non-educated and unemployed women by raising their awareness about a variety, free choice of contraceptive methods and their reproductive health.
Keywords: Family planning, contraceptive methods, contraceptive prevalence, multinomial logistic, relative risk ratio.
Title: MODELLING DETERMINANTS OF CHOICE OF CONTRACEPTIVE METHODS IN RWANDA
Author: Dieudonne SEBUHORO, Dr. Joseph K. Mung’atu, Dr. Marcel NDENGO
International Journal of Mathematics and Physical Sciences Research
ISSN 2348-5736 (Online)
Research Publish Journals
