Tehran University of Medical Sciences
Journal of Family and Reproductive Health
1735-8949
18
4
2024
12
22
Association Between Sociodemographic Characteristics and Assisted Childbirth by Qualified Personnel in Madagascar
261
268
Hery
Bemanana
Regional Directorate of Public Health Atsinanana, Toamasina, Madagascar AND University of Toamasina, Madagascar AND Sylababa Association Madagascar
2024
09
25
2024
11
27
Objective: This study aims to analyze the association between the likelihood of giving birth in a healthcare facility and various sociodemographic characteristics in Madagascar.
Materials and methods: This study utilized data from the 2021 Madagascar Demographic and Health Survey which included a representative sample of women of reproductive age (15-49 years). The sociodemographic variables analyzed included age, birth order, education level, region residence and economic status with the place of delivery being the primary dependent variable. Data analysis was conducted using R software. A chi-square test was applied to assess associations between variables, with a significance threshold set at 5%.
Results: The prevalence of institutional childbirth services usage in Madagascar was 37.4% (35.1-39.7). The results showed that women under 20 years had an assistance rate of 36.7% (33.9-39.4), while the rate for primiparas reached 49.9% (48.5-51.3). Prenatal visits, mother’s age, birth order, region, residence, education level, and economic quintile significantly influenced access to care, with p-values < 0.0001. Only 17.5% (15.6-19.4) of women in the lowest quintile received qualified assistance at childbirth.
Conclusion: The results highlight the impact of age, birth order, residence, education level, region and socioeconomic status on access to childbirth services, necessitating a multisectoral approach to improve equity.
https://jfrh.tums.ac.ir/index.php/jfrh/article/view/2928
https://jfrh.tums.ac.ir/index.php/jfrh/article/download/2928/705
stratified sampling with urban-rural representation. To establish the factors associated with the uptake of injectable contraceptives, a multiple logistic regression model was fitted using Stata version 13 and R version 3.5.3 statistical software. Hosmer-Lemeshow Test statistic was used to evaluate the goodness of model fit in predicting injectable contraceptive usage.
Results: Multivariable analysis showed that women with post-primary/vocational levels of education were 54% less likely to use an injectable contraceptive compared to those who had no education at all. Hosmer-Lemeshow (HL) goodness of fit test statistic indicated that the model was a good fit for prediction. Education, marital status, wealth quintile, place of residence and number of births were significant predictors of the injectable contraceptive uptake among women of reproductive age in Kenya.
Conclusion: The findings of this study will inform the design of targeted interventions aimed at addressing the increasing demand for injectable devices among women of reproductive age in Kenya.
https://jfrh.tums.ac.ir/index.php/jfrh/article/view/1644
https://jfrh.tums.ac.ir/index.php/jfrh/article/download/1644/557