Examining the Effectiveness of Financial Protection Schemes in Reducing Health Inequality.

Health protection schemes such as health insurance and financial assistance provide immense help and support to access health care services, especially to the poor and marginalized section of society. India is witness to low health-related expenditure, and the society's socioeconomic and demographic structure further drops health care access to the new bottom. Consequently, inequality in health care access is highly observed across many socioeconomic attributes. The condition of Bihar, the poorest state of India, is more alarming. The analysis suggests that financial support in terms of universal health insurance coverage considerably reduces out-of-pocket expenditure and thus health inequality. Further, the low health insurance coverage is not solely due to a lack of institutional commitment and implementation process; the cognitive behavior and attitude of people are equally responsible for low health care access. An intensive awareness program to show the benefit of the health insurance scheme and sensitization of people against the social stigma is important to provide better health care access and reduce health inequality.

Assessing Socioeconomic Vulnerabilities Related to COVID-19 Risk in India: A State-Level Analysis.

OBJECTIVE: There is a paucity of scientific analysis that has examined spatial heterogeneities in the socioeconomic vulnerabilities related to coronavirus disease 2019 (COVID-19) risk and potential mitigation strategies at the sub-national level in India. The present study examined the demographic, socioeconomic, and health system-related vulnerabilities shaping COVID-19 risk across 36 states and union territories in India. METHODS: Using secondary data from the Ministry of Health and Family Welfare (MoHFW), Government of India; Census of India, 2011; National Family Health Survey, 2015-16; and various rounds of the National Sample Survey, we examined socioeconomic vulnerabilities associated with COVID-19 risk at the sub-national level in India from March 16, 2020, to May 3, 2020. Descriptive statistics, principal component analysis, and the negative binomial regression model were used to examine the predictors of COVID-19 risk in India. RESULTS: There persist substantial heterogeneities in the COVID-19 risk across states and union territories in India. The underlying demographic, socioeconomic, and health infrastructure characteristics drive the vulnerabilities related to COVID-19 in India. CONCLUSIONS: This study emphasizes that concerted socially inclusive policy action and sustained livelihood/economic support for the most vulnerable population groups is critical to mitigate the impact of the COVID-19 pandemic in India.

Intersection of class, caste, gender and unmet healthcare needs in India: Implications for health policy.

Despite renewed policy priorities to universalise health coverage, unmet need for healthcare is long-standing concern in India. The recent data suggests the unmet healthcare need amounts to a notable share of twelve per cent. While studies have examined inequalities in healthcare utilisation in single axes of social power, there was no consensus on the role of the intersectionality between class, caste and gender in shaping the unmet health need. Utilising data from National Sample survey 75th round (2017-18), this paper identifies the factors contributing to such unmet need and investigate the intersectionality of class with caste and gender in determining unmet need. The contribution of socioeconomic factors was assessed by the decomposition method & multivariate logistic regression was used to measure inter and intra-class differentials in unmet need. The analysis informs that class inequality is fundamental to having unmet need with limited role of gender and caste. Economic class however, interacting with caste and gender unfolds wider gaps in access to healthcare. While inter-class differences in unmet need are observed across caste as well as gender, intra-class differences intensify more by caste inequalities. The findings indicate the significance of the intersectional approach in identifying the sources of health inequity and special recognition to the income-poor and socially marginalised in policy agenda. Eliminating the barriers to health care access therefore needs a multidimensional construct of identifying combination of attributes to be focused towards realization of universal health coverage. These observations should aid in formulation and restructuring of the existing healthcare interventions to achieve equity in healthcare provision.