Background: Caesarean section (C-section) delivery is a serious maternal health concern in the long run. Notedly, there is a lack of studies dealing with understanding the ways and reasons of C-section deliveries becoming a public health issue in today’s time in India and the measures to reduce the unnecessary caesarean sections. We have conducted this study to study the changes in the state-wise prevalence of C-section deliveries in India and understand C-section delivery’s socioeconomic and biomedical predictors. Materials and Methods: The study uses data from the fourth and fifth rounds of the National Family Health Surveys (NFHS). The per cent differences in the C-section deliveries from NFHS-4 to NFHS-5 across the states were measured through relative changes. The association between the C-section delivery and socioeconomic and biomedical factors were assessed using multiple logistic regression. Results: This study revealed that the C-section deliveries are higher in the southern states than in the other parts of India. Literacy plays a vital role in C-section deliveries. The probabilities of C-section deliveries are more in 30–40 and 40 + years. The women belonging to the median wealth index category were more likely (OR–CI, 1.62 [1.55–1.66]) to undergo the C-section followed by the women from wealthy households (OR–CI, 1.46 [1.41–1.52]). Conclusion: The Government’s health policymakers should take the initiative to reduce the C-section section delivery by means of building maternal health literacy and awareness among women and the community so that its future implications can be minimised. It is crucial to formulate a mandate and implement it in the states where C-sections are too high through community health workers and primary care providers.

The paper determines the behavior of Indian Technical Educational through the Total quality management tools and techniques, in this we tend to find the research gaps by reviewing some already existing research papers, and giving the solution through the analytical process of data analysis, we will majorly focus on the higher educational institutions. we will review the methodology that is currently being used by universities and how can they come at par as compared to the foreign universities. The reviewed papers will be used to find the shortcomings of the research and will be taken into consideration of analyzing it. Then we will be doing the quantitative data analysis of some collected data from google form and internet sources regarding the six TQM factors that influence the enrolment and hence the quality of institutions and determining the hypothesis result, then we will discuss the results and shortcomings of the analysis and will bridge those shortcomings by providing various possible solutions in that regards. In the whole process we have used data gathering, analyzing it and hence giving the solution. We have basically used IBM SPSS AND AMOS software to construct TQM models and their covariance relations. Now the future aspect of this paper is confirmed that the same procedure can be adopted to any industry for analyzing the quality of that organization.