Knowledge and factors influencing long acting reversible contraceptive use among women of reproductive age in Nigeria

Abstract

Background: Approximately 48% of unintended pregnancies occur as a result of contraceptive failure around the world, which is largely due to incorrect use, poor adherence and/or technology failure. Long-acting reversible contraceptive (LARC) methods have been developed to close this gap because it's not dependent on compliance with a pill-taking regimen; remembering to change patch or ring; or fixing an appointment with physicians. The main aim of this study is to identify the factors influencing the women associated with use of LARC and to examine the relationship between knowledge of LARC and its current use. Methods: This study assessed the PMA2020 methodology and secondary dataset using female datasets from PMA 2016 (Round 3) exercise. PMA 2016 was a survey carried out in seven states of Nigeria. The target population for this study was women of reproductive age (15-49 years) currently using contraception prior to the survey. The sample size of women meeting inclusion criteria in this study was 1927. The data were analyzed using frequency distribution, chi-square and logistic regression at 5% level of significant. Results: The results showed that 21.0% of women were using traditional methods. Concerning LARC methods, the table showed that 14.8% of the sampled women were using LARC methods. Findings further showed that at both levels of analyses there is a significant relationship (P<0.05 and P=0.00 for binary and multivariable logistic regression, respectively) between knowledge of LARCs and uses in this study. This means that knowledge of LARC & other socio-demographic variables among women of reproductive age in Nigeria can influence the use of it. Conclusions: From the result of the study we concluded that 14.8% of women using contraception were using LARC. Additionally, level of education, age of women, household wealth and number of living children were significantly associated with using LARC.