22 Oct Determinants of contraceptive use in Burundi
L. Ntakarutimana.
The 11th International Conference on Public health among Greater Mekong Sub-Region Countries: Improving Health Equity among GMS Countries : A Public Health Challenge, Lao PDR, 18-19th October 2019, Abstract book page 34.
Background
There is a gap between knowledge of contraceptive methods which is high in Burundi (average of 9.7 methods known) and their use (contraceptive prevalence: 29%) in women of reproductive age (15 to 49 years) in 2013. This gap hampers the achievement of the sustainable development goal 3.7 and other Government’s targets for Burundi, such as: (i) Reducing fertility rate from 6.4 children per woman in 2008 to 3 children in 2025; (ii) Reducing the population growth rate from 2.4% in 2008 to 2% in 2025 and (iii) Increasing the contraceptive prevalence rate from 18% in 2010 to at least 50% in 2025. The aim of this study was to identify determinants of FP service use in Burundi.
Methods
A descriptive, cross-sectional study for analytical purpose using a sample of 1841 women randomly selected in 8 out of 17 provinces, in December 2013. The relationship between the use of FP service (dependant variable) and each of 11 suspected determinants was tested using bi-varied analysis. Multivariate analysis using logistic regression was used to highlight key determinants and their explanatory power.
Results
Eight determinants statistically significantly associated to the contraceptive method use were: woman’s education level (p=0.02), religion (p˂0.001), province of origin (p˂0.001), partner’s attitude regarding to FP (p˂0.001), age (p=0.001), number of children alive (p=0.002), dialogue with one’s partner about FP (p˂0.001) and having heard about contraceptive method side effects (p˂0.001). Most of these variables were confirmed as key determinants through multivariate analysis using logistic regression. For example, a woman in Ngozi province had 7 times chance of using contraceptive method than that of Bururi (OR= 6.868; p˂0.001); having secondary school education level had 2 times chance than illiteracy (OR=1.684; p=0.042); and women having dialogue with their partners on FP had 3 times chance than those without dialogue (OR=3.078; p˂0.001). Non-significant indicators were: woman’s profession (p=0,243), household wealth (p=0,442) and living environment (p=0.553).
Conclusion
The Reproductive Health Programme in Burundi needs to work both on sociodemographic, cultural and communicational factors in order to improve contraceptive use, which is still too low.