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Aim: This study aimed to understand the complex relationship between maternal complications and women's characteristics in India. Methods: The present study builds structural equation modeling (SEM) using the data from the National Family Health Survey round 4 (2015–16) and includes 190, 898 women who had given their last birth during 5 years preceding the survey. Based on eight questions related to maternal complications, the SEM constructed two latent variables – complications during pregnancy (PREGCOMP) and delivery (DELCOMP). Results: Result shows that prolonged labor was highly prevalent (42%) among women, followed by vaginal bleeding (34%) and swelling in legs, body or face (32%). Women from affluent households (β = −0.02 for each‐middle, richer and richest quantile), with higher education (β = −0.02), timing when they received first ANC (β = −0.003) and women who received full ANC (β = −0.01) had a lower risk of PREGCOMP. However, consanguineous marriage (β = 0.01) was positively related to PREGCOMP. Further, women with PREGCOMP (β = 0.20), rural residents (β = 0.02), having exposure to mass media (β = 0.01), and who had facility delivery (β = 0.04) were at high risk of DELCOMP. Women with pregnancy complications are more likely to have delivery complications. [Correction added on 27 November, after first online publication: The statement "who received full antenatal care (ANC) (β = −0.05)" has been removed.] Conclusion: Socioeconomic and demographic factors significantly affect both the latent variables. This study concludes that the use of intensive healthcare services reduces health complications. The paper recommends early visits and full ANC checkups to reduce pregnancy complications. [ABSTRACT FROM AUTHOR]

Large scale investment in the National Rural Health Mission is expected to increase the utilization and reduce the cost of maternal care in public health centres in India. The objective of this paper is to examine recent trends in the utilization and cost of hospital based delivery care in the Empowered Action Group (EAG) states of India. The unit data from the District Level Household Survey 3, 2007-2008 is used in the analyses. The coverage and the cost of hospital based delivery at constant price is analyzed for five consecutive years preceding the survey. Descriptive and multivariate analyses are used to understand the socio-economic differentials in cost and utilization of delivery care. During 2004-2008, the utilization of delivery care from public health centres has increased in all the eight EAG states. Adjusting for inflation, the household cost of delivery care has declined for the poor, less educated and in public health centres in the EAG states. The cost of delivery care in private health centres has not shown any significant changes across the states. Results of the multivariate analyses suggest that time, state, place of residence, economic status; educational attainment and delivery characteristics of mother are significant predictors of hospital based delivery care in India. The study demonstrates the utility of public spending on health care and provides a thrust to the ongoing debate on universal health coverage in India. [ABSTRACT FROM AUTHOR]

Despite the implementation of several national-level interventions, institutional delivery coverage remains unsatisfactory in India's low performing states (LPS), leading to a high burden of maternal mortality. This study investigates the levels, differentials, and determinants of institutional deliveries in LPS of India. The study also delineates a holistic understanding of barriers to delivery at health facilities and the utilization of the Janani Suraksha Yojana (JSY) specifically designed to improve maternal and child health of disadvantaged communities. A cross-sectional study was conducted using data from the National Family Health Survey (NFHS)-4, 2015–16. The study was carried out over India's nine LPS utilizing 112,518 women who had a living child in the past five years preceding the survey. Bivariate and multivariate regression analysis techniques were used to yield findings. Of the study sample, nearly three-quarters (74%) of women delivered in a health institution in the study area, with the majority delivered in public health facilities. The multivariate analysis indicates that women who lived in rural areas, belonged to disadvantaged social groups (e.g. Scheduled caste/tribes and Muslims), and those who married early (before 18 years) were less likely to utilize institutional delivery services. On the other hand, women's education, household wealth, and exposure to mass media were found to be strong facilitators of delivering in a health facility. Meeting with a community health worker (CHW) during pregnancy emerged as an important predictor of institutional delivery in our study. Further, interaction analysis shows that women who reported the distance was a 'big problem' in accessing medical care had significantly lower odds of delivering at a health facility. The study suggests emphasizing the quality of in-facility maternal care and awareness about the importance of reproductive health. Furthermore, strengthening sub-national policies specifically in underperforming states is imperative to improve institutional delivery coverage. [ABSTRACT FROM AUTHOR]