Caesarean risk factors and their measuring contribution by place of delivery in northern region of Bangladesh: A statistical analysis

Abstract

Objectives: To estimate the scale of risk factors, amount of contribution and find out a suitable graphical representation (for image) of caesarean cases on the scale of component score from caesarean cases.
Methods: Beta distribution of first kind in the range (0,1), Principal component analysis (PCA) and Independent component analysis (ICA) are the statistical tools of the present study.
Results: Based on the Beta distribution of first kind in the range (0,1), the composite index is classified into three groups. By the estimated value of range (R) on the three categories, high category is found to be higher in public hospitals as compared to private hospitals. Principal component analysis (PCA) showed that selected risk factors accounted for about 60 percent in private hospitals and 68.45 percent in public hospitals of the total variability in the empirical data. Furthermore, By the independent component analysis (ICA), the study also reveals that the number of private patients on component score are more interlink to some remain hidden factors (doctor motivation, greed for money to doctor, socio-economic status), where this pattern not shown in public patients.
Conclusion: Finding suggest that due to the greediness of money is the main factor to doctor for caesarean delivery in private hospitals rather than public hospital in Northern region of Bangladesh.

Key words: caesarean risk factors, composite index, PCA, ICA, Bangladesh