Does Elderly Chronic Disease Hinder the Sustainability of Borderline Poor Families’ Wellbeing: An Investigation From Catastrophic Health Expenditure in China

There is no association between anxiety and lifestyle in older adults during the COVID-19 pandemic: A cross-sectional study

Introduction and objective

The COVID-19 pandemic has caused mental health problems worldwide. Older people have been particularly affected by the lockdown as their health conditions have changed, although they have been kept in isolation to avoid exposure to contagion. We sought to determine the association between lifestyles and anxiety in older adults during the COVID-19 pandemic.

Materials and methods

This study was cross-sectional. We enrolled 150 older adults of both sexes and with a history of chronic diseases from the municipality of El Agustino (Lima, Peru). The 20-item Geriatric Anxiety Scale and the 25-item Lifestyle Questionnaire on eating, physical activity, rest, and sleep were administered in Spanish during July-August 2021.

Results

The mean age was 70.8 ± 8.1 years, 54.7% were male, and 75.3% practiced exercise. During the COVID-19 pandemic, 99.3% of the elderly had healthy lifestyles and 40% presented anxiety (mild, moderate, and severe anxiety in 26.7%, 8.7%, and 4.7%, respectively). We found no association between anxiety and lifestyle (p = 0.189), physical exercise was a predictor of lifestyle (p < 0.001) and we did not find predictors of anxiety symptoms (p > 0.05).

Conclusions

Our results suggest that there was no link between anxiety symptoms and lifestyle in older adults during the lockdown. It is important to conduct in-depth research on factors associated with anxiety symptoms among older residents in other regions, focusing on population groups with the highest rates of infection and death from COVID-19.

Establishing cost-effectiveness threshold in China: a community survey of willingness to pay for a healthylife year

INTRODUCTION

The willingness to pay per quality-adjusted life year gained (WTP/Q) is commonly used to determine whether an intervention is cost-effective in health technology assessment. This study aimed to evaluate the WTP/Q for different disease scenarios in a Chinese population.

METHODS

The study employed a quadruple-bounded dichotomous choice contingent valuation method to estimate the WTP/Q in the general public. The estimation was conducted across chronic, terminal and rare disease scenarios. Face-to-face interviews were conducted in a Chinese general population recruited from Jiangsu province using a convenience sampling method. Interval regression analysis was performed to determine the relationship between respondents' demographic and socioeconomic conditions and WTP/Q. Sensitivity analyses of removing protest responses and open question analyses were conducted.

RESULTS

A total of 896 individuals participated in the study. The WTP/Q thresholds were 128 000 Chinese renminbi (RMB) ($36 364) for chronic diseases, 149 500 RMB ($42 472) for rare diseases and 140 800 RMB ($40 000) for terminal diseases, equivalent to 1.76, 2.06 and 1.94 times the gross domestic product per capita in China, respectively. The starting bid value had a positive influence on participants' WTP/Q. Additionally, residing in an urban area (p<0.01), and higher household expenditure (p<0.01), educational attainment (p<0.02) and quality of life (p<0.02) were significantly associated with higher WTP/Q. Sensitivity analyses demonstrated the robustness of the results.

CONCLUSION

This study implies that tailored or varied rather than a single cost-effectiveness threshold could better reflect community preferences for the value of a healthy year. Our estimates hold significance in informing reimbursement decision-making in health technology assessment in China.

Catastrophic health expenditure and its inequality in rural China: based on longitudinal data from 2013 to 2018

BACKGROUND

Catastrophic health expenditure (CHE) is an important indicator of measuring health inequality. Previous studies mainly focused on specific vulnerable populations rather than a wider range of vulnerable areas through panel data. Rural China is often associated with an underdeveloped economy and insufficient health resources. This study aims to update the information on the extent of and trends in the incidence and inequality of CHE among the households of rural China through longitudinal survey data.

METHODS

Data were obtained from three waves of the China Health and Retirement Longitudinal Study (CHARLS): 2013, 2015, and 2018. In total, 2,575 households were included in the analysis. CHE was defined as household health expenditures exceeding 40% of non-food expenditures. Inequality in CHE was measured using the concentration curve and concentration index. The contribution to CHE inequality was decomposed using the concentration index decomposition method.

RESULTS

The incidence of CHE was 0.2341 (95% CI: 0.22, 0.25) in 2013, 0.2136 (95% CI: 0.20, 0.23) in 2015, and 0.2897 (95% CI: 0.27, 0.31) in 2018 in rural China. The concentration curve lay above the equality line, and the concentration index was negative: -0.1528 (95% CI: -0.1941, -0.1115) in 2013, -0.1010 (95% CI: -0.1442, -0. 0577) in 2015, and -0.0819 (95% CI: -0.1170, -0.0467) in 2018. Economic status, age, and chronic diseases were the main contributors to inequality in CHE.

CONCLUSIONS

The incidence of CHE in rural China displayed an upward trend from 2013 to 2018, although it was not continuous. Furthermore, a strong pro-low-economic inequality in CHE existed in rural China. Mainly economic status, age, and chronic diseases contributed to this pro-low-economic inequality. Health policies to allocate resources and services are needed to satisfy the needs of rural households and provide more accessible and affordable health services. More concern needs to be directed toward households with chronic diseases and older persons to reduce the incidence of CHE and promote health equality.