Background: Patients with hypertension are sensitive to multimorbidities (i.e., the existence of ≥2 chronic diseases), and the related treatment can create enormous economic burdens. We sought to examine the distribution of multimorbidities, the prevalence and factors of catastrophic health expenditure (CHE), the impact of multimorbidities on CHE, and the variation in this relationship across age groups, work status, and combinations of socioeconomic status and health insurance types. Methods: Socioeconomic-related inequality associated with CHE was estimated by concentration curve and concentration index. We examined the determinants of CHE and the impact of age groups, work status, and combinations of socioeconomic groups and health insurance schemes against the relationship with multimorbidities and CHE using logistic regression. Results: 5693 (83.3%) participants had multimorbidities. In total, 49.8% of families had experienced CHE, and the concentration index was −0.026 (95% confidence interval [CI], −0.032 to −0.020). Multimorbidities were related to the increased odds of CHE (odds ratio [OR], 1.21; 95% CI, 1.18–1.25). The relationship between multimorbidities and CHE persisted across age groups, work status, and combinations of socioeconomic status and health insurance schemes. Conclusions: More than 80% of patients with hypertension had multimorbidities. The protection of health insurance schemes against financial risks is very limited.
Background: Elderly population is particularly vulnerable to socioeconomic disparities. This study assessed inequalities in health care utilization among the elderly in China and identified contributing factors. Methods: This study used data from the 2018 China Health and Retirement Longitudinal Study survey. A non-linear probit regression model based on the Andersen Health Care Utilization Model was used to identify determinants of health care utilization among the elderly. The concentration index (CI) and the decomposition of the CI were calculated to evaluate inequalities in health care utilization among the elderly and identify related contributors. Results: The CI for actual and standardized outpatient visits was 0.0889 and 0.0945, respectively, and the corresponding values for inpatient service utilization were 0.1134 and 0.1176, respectively. Factors that contributed to greater inequalities in the utilization of outpatient and inpatient service included income (73.68% for outpatient service; 85.20% for inpatient service), Urban Employee Basic Medical Insurance (UEBMI) (40.75% for outpatient service; 32.03% for inpatient service) and non-agricultural Hukou status (12.63% for outpatient service; 18.73% for inpatient service). New Rural Cooperative Medical Scheme (NRCMS) (−34.30% for outpatient service; −33.18% for inpatient service) and poor health status (−7.36% for outpatient service; −8.30% for inpatient service) reduced inequalities in outpatient and inpatient utilization. Conclusions: This study found that a key contributor to these inequalities was income, followed by UEBMI coverage. Meanwhile, health care coverage through NRCMS was associated with fewer disparities in health care utilization.
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