Back

Beyond maternal health: a gendered analysis on the role of publicly-funded health insurance in expanding health service utilisation and financial protection for Indian women.

Ziegler, S.; Srivastava, S.; Parmar, D.; Basu, S.; Jain, N.; De Allegri, M.

2025-06-16 health economics
10.1101/2025.06.13.25329614 medRxiv
Show abstract

IntroductionThere is a lack of evidence regarding the role of universal health coverage (UHC) schemes, such as public-funded health insurance (PFHI), on womens utilization of health services and financial protection, particularly for conditions beyond maternal care. To address this gap, we conducted a gender analysis of health care utilization and out-of-pocket expenditure (OOPE) among poor and vulnerable women in India, focusing on Indias first large national PFHI scheme, Rashtriya Swasthya Bima Yojana (RSBY). MethodsWe analyzed data from a cross-sectional household survey in eight Indian states to compare the utilization and OOPE of women and men among RSBY-eligible families. We used bivariate analysis, multivariate logistic and GLM regressions, controlled for demographic and socio-economic characteristics and examined maternal health and non-maternal health services separately. ResultsIndependently of enrollment in RSBY, women had a higher use of hospitalization services than men, but only when services for maternal health were included in the analysis (women: 4%, men: 3.23%, p < 0.001). Enrollment in RSBY did not influence the decision to be hospitalized for either men or women. However, it led to reduced OOPE for women who were hospitalized for services other than maternal health (coef = -0.26; p = 0.084). ConclusionThe findings highlight the potential benefits of PFHIs in providing financial protection for women beyond maternal health. To further improve access to health care for poor and vulnerable women, it is imperative that their health care needs are considered throughout their lifecycle when healthy policy interventions are designed and implemented. We recommend further research on the gendered effects of PFHIs. Findings should feed into the reform processes of PFHIs in India and other low- and middle-income countries, ensuring that these schemes are gender-responsive, universally designed and implemented and ultimately reach all poor and vulnerable individuals.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.