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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]

Introduction: Although India has made significant progress in institutional delivery after the implementation of the National Rural Health Mission under which the Janani Suraksha Yojana (JSY) is a sub-programme which played a vital role in the increase of institutional delivery in public facilities. Therefore, this paper aims to provide an understanding of the JSY coverage at the district level in India. Further, it tries to carve out the factors responsible for the regional disparity of JSY coverage at district levels. Methods: The study used the National Family Health Survey data, which is a cross-sectional survey conducted in 2015–16, India. The sample size of this study was 148,145 women aged 15–49 years who gave last birth in the institution during 5 years preceding the survey. Bivariate and multivariate regression analysis was used to fulfill the study objectives. Additionally, Moran's I statistics and bivariate Local Indicator for Spatial Association (LISA) maps were used to understand spatial dependence and clustering of JSY coverage. Ordinary least square, spatial lag and spatial error models were used to examine the correlates of JSY utilization. Results: The value of spatial-autocorrelation for JSY was 0.71 which depicts the high dependence of the JSY coverage over districts of India. The overall coverage of JSY in India is 36.4% and it highly varied across different regions, districts, and even socioeconomic groups. The spatial error model depicts that if in a district the women with no schooling status increase by 10% then the benefits of JSY get increased by 2.3%. Similarly, if in a district the women from poor wealth quintile, it increases by 10% the benefits of JSY also increased by 4.6%. However, the coverage of JSY made greater imperative to understand it due to its clustering among districts of specific states only. Conclusion: It is well reflected in the EAGs states in terms of spatial-inequality in service coverage. There is a need to universalize the JSY programme at a very individual level. And, it is required to revisit the policy strategy and the implementation plans at regional or district levels. [ABSTRACT FROM AUTHOR]

Internally displaced women are underserved by health schemes and policies, even as they may face greater risk of violence and unplanned pregnancies, among other burdens. There are an estimated 450,000 internally displaced persons in India, but they are not formally recognised as a group. Displacement has been a common feature in India's northeast region. This paper examines reproductive and maternal health (RMH) care-seeking among Bru displaced women in India. The study employed qualitative methodology: four focus group discussions (FGDs) were held with 49 displaced Bru women aged 18–45 between June and July 2018; three follow-up interviews with FGD participants and five in-depth interviews with community health workers (Accredited Social Health Activists – ASHAs) in camps for Bru displaced people in the Indian state of Tripura. All interviewees gave written or verbal informed consent; discussions were conducted in the local dialect, recorded, and transcribed. Data were indexed deductively from a dataset coded using grounded approaches. Most women were unaware of many of the RMH services provided by health facilities; very few accessed such care. ASHAs had helped increase institutional deliveries over the years. Women were aware of temporary contraceptive methods as well as medical abortion, but lacked awareness of the full range of contraceptive options. Challenges in accessing RMH services included distance of facilities from camps, and multiple costs (for transport, medicines, and informal payments to facility staff). The study highlighted a need for comprehensive intervention to improve RMH knowledge, attitudes, and practices among displaced women and to reduce access barriers. [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]