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Background: There is limited understanding of how universal health coverage (UHC) schemes such as publicly-funded health insurance (PFHI) benefit women as compared to men. Many of these schemes are gender-neutral in design but given the existing gender inequalities in many societies, their benefits may not be similar for women and men. We contribute to the evidence by conducting a gender analysis of the enrolment of individuals and households in India's national PFHI scheme, Rashtriya Swasthya Bima Yojana (RSBY). Methods: We used data from a cross-sectional household survey on RSBY eligible families across eight Indian states and studied different outcome variables at both the individual and household levels to compare enrolment among women and men. We applied multivariate logistic regressions and controlled for several demographic and socio-economic characteristics. Results: At the individual level, the analysis revealed no substantial differences in enrolment between men and women. Only in one state were women more likely to be enrolled in RSBY than men (AOR: 2.66, 95% CI: 1.32-5.38), and this pattern was linked to their status in the household. At the household level, analyses revealed that female-headed households had a higher likelihood to be enrolled (AOR: 1.36, 95% CI: 1.14-1.62), but not necessarily to have all household members enrolled. Conclusion: Findings are surprising in light of India's well-documented gender bias, permeating different aspects of society, and are most likely an indication of success in designing a policy that did not favour participation by men above women, by mandating spouse enrolment and securing enrolment of up to five family members. Higher enrolment rates among female-headed households are also an indication of women's preferences for investments in health, in the context of a conducive policy environment. Further analyses are needed to examine if once enrolled, women also make use of the scheme benefits to the same extent as men do. India is called upon to capitalise on the achievements of RSBY and apply them to newer schemes such as PM-JAY. [ABSTRACT FROM AUTHOR]

The literature suggests that a first barrier towards accessing benefits of health insurance in low- and middle-income countries is lack of awareness of one's benefits. Yet, across settings and emerging schemes, limited scientific evidence is available on levels of awareness and their determinants. To fill this gap, we assessed socio-demographic and economic determinants of beneficiaries' awareness of the Pradhan Mantri Jan Arogya Yojana (PM-JAY), the national health insurance scheme launched in India in 2018, and their awareness of own eligibility. We relied on cross-sectional household (HH) survey data collected in six Indian states between 2019 and 2020. Representative data of HHs eligible for PM-JAY from 11 618 respondents (an adult representative from each surveyed HH) were used. We used descriptive statistics and multivariable logistic regression models to explore the association between awareness of PM-JAY and of one's own eligibility and socio-economic and demographic characteristics. About 62% of respondents were aware of PM-JAY, and among the aware, 78% knew that they were eligible for the scheme. Regression analysis confirmed that older respondents with a higher educational level and salaried jobs were more likely to know about PM-JAY. Awareness was lower among respondents from Meghalaya and Tamil Nadu. Respondents from Other Backward Classes, of wealthier socio-economic status or from Meghalaya or Gujarat were more likely to be aware of their eligibility status. Respondents from Chhattisgarh were less likely to know about their eligibility. Our study confirms that while more than half of the eligible population was aware of PM-JAY, considerable efforts are needed to achieve universal awareness. Socio-economic gradients confirm that the more marginalized are still less aware. We recommend implementing tailored, state-specific information dissemination approaches focusing on knowledge of specific scheme features to empower beneficiaries to demand their entitled services. [ABSTRACT FROM AUTHOR]

Background: Childhood vaccinations are a vital preventive measure to reduce disease incidence and deaths among children. As a result, immunisation coverage against measles was a key indicator for monitoring the fourth Millennium Development Goal (MDG), aimed at reducing child mortality. India was among the list of countries that missed the target of this MDG. Immunisation targets continue to be included in the post-2015 Sustainable Development Goals (SDG), and are a monitoring tool for the Indian health care system. The SDGs also strongly emphasise reducing inequalities; even where immunisation coverage improves, there is a further imperative to safeguard against inequalities in immunisation outcomes. This study aims to document whether socioeconomic inequalities in immunisation coverage exist among children aged 12-59 months in India.Methods: Data for this observational study came from the fourth round of the National Family Health Survey (2015-16). We used the concentration index to assess inequalities in whether children were fully, partially or never immunised. Where children were partially immunised, we also examined immunisation intensity. Decomposition analysis was applied to examine the underlying factors associated with inequality across these categories of childhood immunisation.Results: We found that in India, only 37% of children are fully immunised, 56% are partially immunised, and 7% have never been immunised. There is a disproportionate concentration of immunised children in higher wealth quintiles, demonstrating a socioeconomic gradient in immunisation. The data also confirm this pattern of socioeconomic inequality across regions. Factors such as mother's literacy, institutional delivery, place of residence, geographical location, and socioeconomic status explain the disparities in immunisation coverage.Conclusions: In India, there are considerable inequalities in immunisation coverage among children. It is essential to ensure an improvement in immunisation coverage and to understand underlying factors that affect poor uptake and disparities in immunisation coverage in India in order to improve child health and survival and meet the SDGs. [ABSTRACT FROM AUTHOR]

Aim: This study aims to examine the association between the Haemophilus influenza type B (Hib) vaccination and child anthropometric outcomes in India. Subject and methods: The study used prospective cohort data from the Young Lives Study (YLS) conducted in Andhra Pradesh, India. The participants were 1,824 children (aged 54-76 months). Stunting and underweight were used to measure the child anthropometric outcomes. The study used the multivariate logistic regression model to examine the association between Hib vaccination and childhood stunting and underweight. Results: The result shows that stunting was lower among children who were vaccinated against Hib as compared to those who were not vaccinated (30.8% versus 39.5%). Similarly, the prevalence of underweight was also lower among the vaccinated children than the non-vaccinated ones (39.1% versus 48.0%). The results of the multivariate logistic regression analysis also suggest that children vaccinated against Hib were significantly less likely to be stunted (AOR: 0.76, 95% CI: 0.61-0.95) and underweight (AOR: 0.79, 95% CI: 0.64-0.98) than children who were not vaccinated against Hib, after controlling potentially confounding variables. Conclusions: The study concludes that vaccination against Hib, in addition to being a major intervention for reducing childhood infectious diseases and mortality, may be considered as a potential tool for reducing the burden of undernutrition in India. Therefore, the inclusion of the Hib vaccine into the Universal Immunization Programme will be helpful in reducing the burden of child malnutrition in India. [ABSTRACT FROM AUTHOR]

Background: According to United Nation Children's Fund, it has been estimated that worldwide about 165 million children were stunted in 2012 and India alone accounts for 38 % of global burden of stunting. This study aims to examine the effect of pregnancy intention and maternal postnatal depressive symptoms on early childhood stunting in India. We hypothesized that effect of pregnancy intention and postnatal depressive symptoms were mediated by social support.Methods: We used data from the first wave of Young Lives Study India. Multivariate logistic regression models (using generalized estimation equation) were used to examine the effect of pregnancy intention and postnatal depressive symptoms on early childhood stunting among children aged 5-21 months. The analysis included 1833 children (out of 2011 sample children) that had complete information on pregnancy intention, maternal depression and other variables.Results: Bivariate results indicate that a higher percent of children born after unintended pregnancy (40 %) were stunted than children of intended pregnancy (26 %). Likewise, the proportion of stunted children was also higher among women with high postnatal depressive symptoms (35 %) than the low level of depression (24 %). Results of multivariate logistic regression model indicate that children born after unintended pregnancy were significantly more likely to be stunted than children born after intended pregnancy (AOR: 1.76, CI: 1.25, 2.48). Similarly, early childhood stunting was also associated with maternal postnatal depressive symptoms (AOR: 1.53, CI: 1.21, 1.92). Moreover, the effect of pregnancy intention and postnatal depressive symptoms on early childhood stunting were not mediated by social support.Conclusions: The findings of this study provide conclusive evidence regarding consequences of pregnancy intention and postnatal depressive symptoms on early childhood stunting in India. Therefore, there is a need to identify the women with unintended pregnancy and incorporate the promotion of mental health into their national reproductive and child health programme. [ABSTRACT FROM AUTHOR]

Background: Nearly 275 million adults (15 years and above) use tobacco in India, which contributes substantially to potentially preventable morbidity and mortality. There is good evidence from developed country settings that use of tobacco cessation services influences intention to quit, with a higher proportion of attempts being successful in fully quitting. There is little evidence about cessation and quitting behaviour in the Indian context. This study assesses the socio-demographic characteristics and cessation services used by adults i) who attempted to quit smoked and smokeless tobacco and ii) who were successful in quitting. Methods: The study was a cross-sectional secondary data analysis of the Global Adult Tobacco Survey, India, 2009-10. There were 25,175 ever tobacco users aged 21 years and above included in the study. Bivariate and multivariate logistic regression analysis was done to determine associations between socio-demographic variables and cessation services utilized with attempts to quit tobacco and successful quitting. Results: Of the ever tobacco users, 10,513 (42%) made an attempt to quit tobacco, and of these 4,395 (42%) were successful. Significant associations were demonstrated between male gender, increasing educational attainment and higher asset quintiles for both those who attempted to quit and those who were successful. Younger age groups had higher odds of quit attempts than all except the oldest age group, but also had the lowest odds of successful quitting. Heath care provider advice was positively associated with attempts to quit, but both advice and use of cessation aids were not associated with successful quitting. Conclusions: This study provides the first national evidence on the relationships between quitting attempts and successful quitting with socio-demographic characteristics, health care provider advice and use of cessation services. The findings of the study have important implications for scaling up tobacco cessation services in India, and indicate a need to re-examine in greater detail the effects of socio-demographic factors, type of tobacco product used and levels of dependency on quitting. Health system factors such as coverage and accessibility of cessation services, type of service, and its duration and follow up also have to be examined in detail to ascertain effects on quitting behavior. [ABSTRACT FROM AUTHOR]