Background
Out‐of‐pocket (OOP) payments and catastrophic health expenditure (CHE) have a strong age gradient. Though studies have examined the socio‐demographic and geographic inequality in OOP payments and CHE in India, the role of old‐age dependency in financial catastrophe remains unclear. Disaggregated estimates of CHE by the level of old‐age dependency of households may help identify the most vulnerable sub‐group and provide evidence for specific policies for the financial protection and health care of the elderly. The present study aims to estimate the incidence and intensity of CHE by the old‐age dependency of households among middle‐aged adults and the elderly in India.
Methods
A total of 42,949 households from the Longitudinal Aging Study in India (LASI), 2017–18, covering households with at least one‐member aged 45+ years, were included in the analysis. Households were classified into three mutually exclusive groups: no old‐age dependency, low old‐age dependency, and high old‐age dependency. The incidence and intensity of CHE were estimated using the capacity‐to‐pay (CTP) approach. Concentration indices and concentration curves examine the extent of socioeconomic inequality in CHE. Binary logistic regression helps to understand the potential predictors of CHE across each type of old‐age‐dependent household.
Results
We estimated the overall incidence of CHE at 24.6% (95% CI: 23.3–25.8) among middle‐aged adults and the elderly in India. The incidence was 33.2% (95% CI: 31.4–35.1) among households with high old‐age dependency, 23.1% (95% CI: 20.8–25.5) among those with low old‐age dependency, and 20.4% (95% CI: 19.0–21.7) among no old‐age dependency households. CHE intensity was highest among households with low old‐age dependency compared to those no old‐age dependents. Catastrophic health expenditure was higher among the poorer households in each type of old‐age dependency. Among all households, the odds of incurring CHE were higher among households with high old‐age dependency (AOR: 1.52; 95% CI: 1.36–1.69) than those with no old‐age dependency. Lower‐income households, households with pensions as the main source of income, households belonging to scheduled castes, and households residing in rural areas had higher odds of incurring CHE. The co‐variates of CHE varied significantly across the type of old‐age dependency households. A household's enrolment into a health insurance scheme did not necessarily lower its CHE.
Conclusion
Households with high old‐age dependency had a higher probability of incurring CHE in India. Providing preventive and curative geriatric care in primary health centres (PHC) is recommended.