Socio-economic inequalities in health and health service use among older adults in India: results from the WHO Study on Global AGEing and adult health survey.

OBJECTIVE: The objectives of this study were to measure socio-economic inequalities in self-reported health (SRH) and healthcare visits and to identify factors contributing to health inequalities among older people aged 50-plus years. STUDY DESIGN: This study is based on a population-based, cross-sectional survey. METHODS: We accessed data of 7150 older adults from the World Health Organization's Study on Global AGEing and adult health Indian survey. We used multivariate logistic regression to assess the correlates of poor SRH. We estimated the concentration index to measure socio-economic inequalities in SRH and healthcare visits. Regression-based decomposition analysis was employed to explore the correlates contributing to poor SRH inequality. RESULTS: About 19% (95% CI: 18%, 20%) reported poor health (n = 1368) and these individuals were significantly less wealthy. In total, 5134 (71.8%) participants made at least one health service visit. Increasing age, female gender, low social caste, rural residence, multimorbidity, absence of pension support, and health insurance were significant correlates of poor SRH. The standardized concentration index of poor SRH -0.122 (95% CI: -0.102; -0.141) and healthcare visits 0.364 (95% CI: 0.324, 0.403) indicated pro-poor and pro-rich inequality, respectively. Economic status (62.3%), pension support (11.5%), health insurance coverage (11.5%), social caste (10.7%) and place of residence (4.1%) were important contributors to inequalities in poor health. CONCLUSION: Socio-economic disparities in health and health care are major concerns in India. Achievement of health equity demand strategies beyond health policies, to include pro-poor, social welfare policies among older Indians.

National suicide rates and mental health system indicators: an ecological study of 191 countries.

PURPOSE: The relative contributions of psychiatric morbidity and psychosocial stress to suicide, and the efficacy of mental health systems in reducing population suicide rates, are currently unclear. This study, therefore, aimed to investigate whether national suicide rates are associated with their corresponding mental health system indicators. METHODS: Relevant data were retrieved from the following sources: the World Health Organization, the United Nations Statistics Division and the Central Intelligence Agency World Fact book. Suicide rates of 191 countries were compared with their mental health system indicators using an ecological study design and multivariate non-parametric robust regression models. RESULTS: Significant positive correlations between suicide rates and mental health system indicators (p<0.001) were documented. After adjusting for the effects of major macroeconomic indices using multivariate analyses, numbers of psychiatrists (p=0.006) and mental health beds (p<0.001) were significantly positively associated with population suicide rates. CONCLUSIONS: Countries with better psychiatric services experience higher suicide rates. Although these associations should be interpreted with caution, as the issues are complex, we suggest that population-based public health strategies may have greater impact on national suicide rates than curative mental health services for individuals.

Nature and determinants of out-of-pocket health expenditure among older people in a rural Indian community.

BACKGROUND: Increasing out-of-pocket health expenditure among older people worsens the inequitable access to essential health services in low and middle-income countries (LMIC). We investigated various socioeconomic and health factors associated with out-of-pocket and catastrophic health expenditures among rural older people in India. METHODS: We recruited 1,000 participants aged above 65 years from Kaniyambadi block, Vellore, India. We assessed their out-of-pocket health expenditure, health service utilization, socioeconomic profiles, disability, cognition, and health status by standard instruments. We employed appropriate multivariate statistics evaluating these determinants. RESULTS: Male gender, poor sanitation, diabetes, tuberculosis, malaria, respiratory ailments, gastrointestinal diseases, dementia, depression, and disability were associated with higher out-of-pocket expenditures. Illiteracy, tuberculosis, diabetes, and dementia increased the risk for catastrophic health expenditures, while pension schemes protected against it. Income inequalities were associated with inequities on education, disease prevalence, and access to safe water, sanitation, and nutrition. CONCLUSIONS: Interactions between determinants of out-of-pocket health expenditure, economic inequality, and inequities on essential health care delivery to older people are complex. We highlight the need for equitable health services and policies, focusing on both medical and social determinants.