Abstract :

When life-threatening conditions occur during pregnancy or childbirth, Caesarean section (CS) is among the most important procedures for protecting the lives of mothers and babies [1]. Non-medical causes have been proposed as primary contributors to excessive CS [2]. Over the last few decades, global CS concentrations have gradually increased [3]. Aside from the potential for negative health consequences, unnecessary CS places a significant financial burden on individuals, families, and society as a whole. The expenditure of post-pregnancy clinical consideration and cross as a result of prolonged CS is projected to be around US$ 2.32 billion globally. The expenditure of post-pregnancy clinical consideration and cross as a result of prolonged CS is projected to be around US$ 2.32 billion globally. We looked at variables like education, occupation, wealth index, respondent’s media exposure, and child alive in this project, all of which have a major causal association with our dependent variable CS delivery. Based on the BDHS 2017-18 data, we used path analysis to look at the cultural and racial factors that influence the choice of CS in Bangladesh. For this, we used the SPSS AMOS program. Aside from binary logistic analysis, multivariate analysis was performed. Furthermore, correlation was used to identify the variables that had the greatest impact on the choice of CS.

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Keywords :

Binary logistic Regression, Correlation, Path analysis, SPSS Amos.

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