Institutional deliveries in India: a study of associates and inequality

Author:

Kumar RishiORCID,Mandava ShravanthORCID

Abstract

PurposeIndia has shown good progress in maternal health outcome indicators. However, an area for improvement is to ensure all deliveries take place in institutions under the supervision of skilled birth attendants. This paper attempts to identify the factors that affect institutional deliveries using nationally representative National Family Health Survey (NFHS) data. Further, the authors investigate the factors contributing to the wealth-based inequality in institutional deliveries.Design/methodology/approachTo address the first aspect of identifying the factors associated with undergoing an institutional delivery, the authors have used logistic and multinominal logistic models. The explanatory variables are broadly socio-economic indicators of the mother and a few other household characteristics. Further, the concentration index and regression-based decomposition were used to carry out an inequality analysis in the institutional deliveries across different wealth groups.FindingsThe authors found that women belonging to poor households, backward social groups and rural areas have significantly fewer odds of undergoing an institutional delivery. Age and education level of the mother, number of antenatal visits during pregnancy and place of residence (urban/rural) have contributed to the inequality in institutional deliveries in 2005–2006. However, the inequality due to these factors went down drastically in 2015–2016.Originality/valueTo the best of the authors' knowledge, this study is a distinct attempt to use pooled data of the NFHS-3 [2005–2006] and NFHS-4 [2015–2016] in identifying factors contributing to a woman undergoing an institutional-based delivery. The study also decomposes the wealth-based inequality in the factors contributing to having an institutional delivery and analyses the contributions to inequality across the two time periods.

Publisher

Emerald

Subject

General Social Sciences,Economics and Econometrics

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