Objective:This study utilizes data from the 2021 Chinese Longitudinal Healthy Longevity and Happy Family Survey(CLHLS-HF)to examine the current status of Long-Term Care Insurance(LTCI)implementation and to identify the factors influencing whether disabled elderly individuals receive formal care services.The study aims to provide policy recommendations to enhance the effectiveness and equity of the system.Methods:In this cross-sectional study, a sample of 1 447 older participants with dependency, residing in LTCI pilot areas and meeting the inclusion criteria from the 2021 CLHLS-HF, was selected.Chi-square tests and binary logistic regression analyses were employed to explore the factors influencing the receipt of formal care by dependent older individuals.Results:Among the 1 447 participants, there were 496 males with an average age of 92 years(SD 9)and 951 females with an average age of 95 years(SD 9). Of these, 701 received formal care.The logistic regression analysis revealed that factors influencing the receipt of formal care included urban residence( OR=2.237, 95% CI: 1.675-2.987, P<0.001), residing in the eastern region( OR=2.907, 95% CI: 1.747-4.837, P<0.001), living in the western region( OR=3.132, 95% CI: 1.816-5.501, P<0.001), having no children( OR=2.478, 95% CI: 1.108-5.540, P=0.027), and the degree of disability, with severe disability being more likely to receive care compared to mild( OR=0.497, 95% CI: 0.388-0.637, P<0.001)and moderate disabilities( OR=0.589, 95% CI: 0.433-0.801, P=0.001). Conclusions:Dependent older individuals in the eastern and western regions, particularly those without children or with severe disabilities, are more likely to receive formal care through the LTCI system.However, there are substantial inequities in LTCI coverage among individuals with varying degrees of disability.To enhance the effectiveness of the LTCI system, greater efforts should be directed towards economically disadvantaged regions and older individuals with mild to moderate disabilities, thereby ensuring better protection for the disabled population.

Objective:To analyze the trend of the health literacy level of Chinese residents from 2012 to 2023 and predict the health literacy level from 2024 to 2027.Methods:The study collected data on the health literacy surveillance of Chinese residents from 2012 to 2023. The Joinpoint regression model was used to calculate the average annual percent change (AAPC) and analyze the trend. The interrupted time series analysis with Prais-Winsten transformed generalized least squares estimation was employed to investigate the impact of the"Healthy China 2030" policy on residents′ health literacy levels. Joinpoint regression, autoregressive integrated moving average model and grey forecasting models were established to select the optimal model for forecasting health literacy levels from 2024 to 2027.Results:The results showed that the health literacy level of Chinese residents increased from 8.80% in 2012 to 29.70% in 2023 (AAPC=11.65%, P<0.05). The health literacy level of urban and rural residents increased from 11.79% and 7.13% in 2012 to 33.25% and 26.23% in 2023, respectively (AAPC=9.57% and 12.60%, both P<0.05). Rural (1.59% per year) saw a lower average annual increase than urban (1.79% per year), widening the urban-rural health literacy gap. All aspects of health literacy, including basic knowledge and concepts, healthy lifestyles and behaviors, and health skills, showed an upward trend. The literacy level of six health issues—safety and first aid, scientific health views, health information, infectious disease prevention, chronic disease prevention, and basic medical care—also exhibited rising trends. Interrupted time series analysis indicated a significant further increase in the health literacy level of Chinese residents after the implementation of the "Healthy China 2030" policy, with the growth rate increasing from 0.615% per year before implementation to 2.655% per year afterwards. The Joinpoint regression model showed superior predictive performance compared to autoregressive integrated moving average model and grey forecasting models. The prediction results suggested a continued upward trend in the health literacy level from 2024 to 2027, reaching 32.68%, 35.62%, 38.84%, and 42.34%, respectively. Conclusion:From 2012 to 2023, the overall and various aspects of health literacy among Chinese residents show a continuous upward trend. This study predicts that the level of residents′ health literacy will continue to rise by 2027.

Objective:To analyze the trend of the health literacy level of Chinese residents from 2012 to 2023 and predict the health literacy level from 2024 to 2027.Methods:The study collected data on the health literacy surveillance of Chinese residents from 2012 to 2023. The Joinpoint regression model was used to calculate the average annual percent change (AAPC) and analyze the trend. The interrupted time series analysis with Prais-Winsten transformed generalized least squares estimation was employed to investigate the impact of the"Healthy China 2030" policy on residents′ health literacy levels. Joinpoint regression, autoregressive integrated moving average model and grey forecasting models were established to select the optimal model for forecasting health literacy levels from 2024 to 2027.Results:The results showed that the health literacy level of Chinese residents increased from 8.80% in 2012 to 29.70% in 2023 (AAPC=11.65%, P<0.05). The health literacy level of urban and rural residents increased from 11.79% and 7.13% in 2012 to 33.25% and 26.23% in 2023, respectively (AAPC=9.57% and 12.60%, both P<0.05). Rural (1.59% per year) saw a lower average annual increase than urban (1.79% per year), widening the urban-rural health literacy gap. All aspects of health literacy, including basic knowledge and concepts, healthy lifestyles and behaviors, and health skills, showed an upward trend. The literacy level of six health issues—safety and first aid, scientific health views, health information, infectious disease prevention, chronic disease prevention, and basic medical care—also exhibited rising trends. Interrupted time series analysis indicated a significant further increase in the health literacy level of Chinese residents after the implementation of the "Healthy China 2030" policy, with the growth rate increasing from 0.615% per year before implementation to 2.655% per year afterwards. The Joinpoint regression model showed superior predictive performance compared to autoregressive integrated moving average model and grey forecasting models. The prediction results suggested a continued upward trend in the health literacy level from 2024 to 2027, reaching 32.68%, 35.62%, 38.84%, and 42.34%, respectively. Conclusion:From 2012 to 2023, the overall and various aspects of health literacy among Chinese residents show a continuous upward trend. This study predicts that the level of residents′ health literacy will continue to rise by 2027.

Objective:This study utilizes data from the 2021 Chinese Longitudinal Healthy Longevity and Happy Family Survey(CLHLS-HF)to examine the current status of Long-Term Care Insurance(LTCI)implementation and to identify the factors influencing whether disabled elderly individuals receive formal care services.The study aims to provide policy recommendations to enhance the effectiveness and equity of the system.Methods:In this cross-sectional study, a sample of 1 447 older participants with dependency, residing in LTCI pilot areas and meeting the inclusion criteria from the 2021 CLHLS-HF, was selected.Chi-square tests and binary logistic regression analyses were employed to explore the factors influencing the receipt of formal care by dependent older individuals.Results:Among the 1 447 participants, there were 496 males with an average age of 92 years(SD 9)and 951 females with an average age of 95 years(SD 9). Of these, 701 received formal care.The logistic regression analysis revealed that factors influencing the receipt of formal care included urban residence( OR=2.237, 95% CI: 1.675-2.987, P<0.001), residing in the eastern region( OR=2.907, 95% CI: 1.747-4.837, P<0.001), living in the western region( OR=3.132, 95% CI: 1.816-5.501, P<0.001), having no children( OR=2.478, 95% CI: 1.108-5.540, P=0.027), and the degree of disability, with severe disability being more likely to receive care compared to mild( OR=0.497, 95% CI: 0.388-0.637, P<0.001)and moderate disabilities( OR=0.589, 95% CI: 0.433-0.801, P=0.001). Conclusions:Dependent older individuals in the eastern and western regions, particularly those without children or with severe disabilities, are more likely to receive formal care through the LTCI system.However, there are substantial inequities in LTCI coverage among individuals with varying degrees of disability.To enhance the effectiveness of the LTCI system, greater efforts should be directed towards economically disadvantaged regions and older individuals with mild to moderate disabilities, thereby ensuring better protection for the disabled population.