Yongjian Xu

Protecting households from financial risk is widely accepted as a desirable objective of health system, and the same goes for Long-Term Care Insurance (LTC

Against the backdrop of normalized COVID-19 prevention and control, this study focuses on community health service centers. Here, “Cultural values” refer to the shared beliefs, norms, and attitudes within a community or organization that shape behavior and decision-making, such as a sense of collective responsibility, mutual support, and adherence to public health guidelines. This study explores the impact of Cultural values and social capital on their COVID-19 response capabilities and proposes targeted improvement strategies. A self-designed questionnaire was used to survey 983 medical staff from 15 community health service centers in each of six cities in Zhejiang Province. Differences in COVID-19 response capabilities across centers with varying demographic characteristics were compared using t-tests and variance analysis. Hierarchical linear regression was employed to analyze influencing factors, while structural equation modeling path analysis explored the impact pathways and mechanisms of Cultural values and social capital on COVID-19 response capabilities. Cultural values have a significant impact on the COVID-19 response capability. The overall effect value, direct effect value, and indirect effect value of cultural appeal on the COVID-19 response capability of community health service centers are 0.784, 0.070, and 0.070 respectively. Social capital exhibits a partial mediating effect. Among them, the overall effect value of structural social capital is 0.094, that of relational social capital is 0.260, and that of cognitive social capital is 0.241. The influence of cultural appeal on pandemic response capability is mainly transmitted indirectly through relational and cognitive social capital, while the mediating effect of structural social capital is not significant. Cultural values and social capital positively influence COVID-19 response capabilities in community health service centers, with Cultural values indirectly affecting these capabilities through relational and cognitive social capital. Thus, centers can enhance their COVID-19 response capabilities by strengthening Cultural values, fostering social capital, integrating health resources, and establishing collaborative mechanisms, ensuring community residents’ health and safety during crises like sudden outbreaks and natural disasters. The online version contains supplementary material available at 10.1186/s12913-026-14298-4.

Purpose: The Chinese government has carried out two major cycles of reform to improve the health system and reduce the disease burden on residents. This study aims to comprehensively track the trends in the occurrence of catastrophic health expenditure (CHE) and its inequality in the past 25 years, which may help better understand the influence of health system reforms on CHE and its inequality. Methods: The study employed the subset of data from China Health and Nutrition Survey conducted from 1991 to 2015. Health payments and net household income were used to calculate CHE. Concentration index and decomposition analysis were used to measure the magnitude of income-related inequality in CHE and decompose it into determinants, respectively. Results: The incidence of CHE in China increased from 3.10% in 1993 to 8.90% in 2004 and still maintained at a high level in the following years. The incidence gap of CHE between the richest and poorest became increasingly wider over year. Moreover, the values of adjusted concentration indexes were all negative in each year, decreasing from − 0.202 in 1991 to − 0.613 in 2015. Income was consistently the largest contributor to the inequality in CHE. The basic medical insurance did not decrease the incidence of CHE and showed the second largest contribution on its inequality before 2004. However, this contribution began to decline after 2006. Conclusion: After the New Health Care Reform, despite many measures taken by the Chinese government, there was still a high incidence of CHE and an increasing inequality from 1991 to 2015. The basic medical insurance in China was not enough to protect households from CHE. The use of big data tools and techniques to effectively screen the poor households, and strengthening the social medical aid system would be helpful to decrease the inequality in CHE.

Background： The Chinese health care system has gone through two major cycles of reform since the 1980s. This study aims to comprehensively track the trends in the occurrence of catastrophic health payment and its inequality in the past 15 years, which may help better understand the influence of health system reforms on catastrophic health payment and its inequality. Methods： The study employed the subset of data from China Health and Nutrition Survey conducted from 1991 to 2015. Concentration index and decomposition analysis were used to measure the magnitude of income-related inequality in catastrophic health payment and decompose it into determinants respectively. Results: The incidence of catastrophic health expenditure in China increased from 3.10% in 1993 to 8.90% in 2004, and still maintained at a high level in the following years. The incidence gap of catastrophic health payment between the richest and poorest became increasingly wider over year. Moreover, the adjusted concentration indexes were all negative in each year, decreasing from -0.202 in 1991 to -0.613 in 2015. The basic medical insurance didn’t decrease the incidence of catastrophic health payment and showed the second largest contribution on the inequality in catastrophic health payment before 2004. However, this contribution began to decline after 2006. Conclusions: After the New Health Care Reform, although the Chinese government has taken many measures to protect poor households from catastrophic health payment, the incidence gap between the rich and poor has widened. China has nearly achieved universal coverage in recent years, however, the basic medical insurance in China was not enough to protect households from catastrophic health payment. Our study suggests that improving the generosity of existing basic medical insurance, and reforming the medical insurance payment system would be helpful to reduce the incidence of catastrophic health payment. The use of big data tools and techniques to effectively screen the poor households, and strengthening the social medical aid system would be helpful to decrease the pro-rich inequality in catastrophic health payment.

Because of economic reform, dietary pattern in China changed rapidly during the past two decades. Meanwhile, the changes of income and nutrients intake had the same trend. This study aims to measure the income-related inequality in daily nutrients intake and its health-related income mobility over time. Data was sourced from four waves of China Health and Nutrition Survey. Concentration indexes and health-related income mobility indexes were employed to measure the income-related inequality of nutrients intake and its change over time. This study found that the daily protein intake, daily fat intake, daily energy intake, and proportion of energy from fat over 30% were more concentrated on the rich, whereas daily carbohydrates intake among the poor. The income-related inequalities were more severe than the cross-sectional perspective in the long run. The dynamic change of urbanisation indexes has resulted that over 30% of energy from fat was more concentrated among the rich and carbohydrates intake among the poor. The nutrition transition may bring about more severe disease economic burden to the poor in the future. This study recommends an approach to minimize gaps between rural and city areas by promoting rural revitalization to reduce the income-related inequality in daily nutrient intake.

China’s New Cooperative Medical Scheme (NCMS) enables insured citizens to enjoy the same benefit package by paying a flat-rate premium. However, it still remains uncertain whether economically disadvantaged enrollees receive insurance benefits that at least match those of non-disadvantaged enrollees. This article, therefore, estimates the distribution of benefits under the NCMS across economic groups and compares the magnitude of economic-related inequity changes in the NCMS benefits. Data were drawn from two-wave large-scale representative and comparable cross-sectional household health survey datasets conducted in Shaanxi Province in 2008 and 2013. In total, 9506 (2008) and 38,010 (2013) NCMS enrollees were included. The benefits from the NCMS are measured in two ways: via the probability of receiving reimbursements and via the absolute amount of the obtained reimbursements. Two-part models were used to estimate the benefit distribution and to adjust benefits for health care needs. Concentration curve, dominance test of the concentration curve, and concentration index (CI) were used to estimate the overall degree of economic-related inequality. The degree of horizontal inequity was estimated via indirectly standardized measures based on the “equal treatment for equal needs” concept. Our results indicate that economically affluent groups were more likely to receive reimbursements from the NCMS, and these reimbursements were also higher. Positive need-adjusted CIs for the probability of receiving reimbursements (CIs: 0.2027/0.1056 in 2008/2013) and the absolute amount of reimbursements (CIs: 0.3002/0.1660 in 2008/2013) further suggest the existence of clear pro-rich horizontal inequities in the benefits distribution under the NCMS. Encouragingly, a decreasing trend could be observed from 2008 to 2013, which suggests that horizontal inequities in NCMS benefits that favored the rich decreased over the investigated period, while the level of insurance benefits improved. Our study suggests that the benefits of NCMS are concentrated toward economically affluent groups. Although any trade-off between policy feasibility and equity has become a challenge for the formulation of social health insurance funding and benefit packages in developing countries, inequality can be gradually reduced through continuous adjustment of the medical insurance scheme, thus effectively targeting economically disadvantaged enrollees.

Although the awareness of mental health problems in late life is rising, the association between financial transfers to the older generations from children and mental health at older ages in China has received little attention. This study examines the association between financial transfers from children and depressive symptoms among the mid-aged and elderly residents (from 45 years of age and older) in China. We used the data from the China Health and Retirement Longitudinal Study (CHARLS, 2013) (n = 10,935) This included data on financial transfers from all non-co-resident children to their parents, and the individual scores on depressive symptoms as measured by the 10-item Center for Epidemiologic Studies–Depression Scale (CESD-10). A two-level - individual and community levels - mixed linear model was deployed to explore their association. Financial transfers from children to parents was the major component of inter-generational financial transfers in Chinese families. A higher financial support from non-co-resident children was signivicantly and positively related to fewer depressive symptoms (coef. = − 0.195,P-value< 0.001) among both the mid-aged and elderly parents. Financial transfers from non-co-resident children are associated with depressive symptoms among mid-aged and elderly residents in the China situation. Taxation and other policy measures should encourage and facilitate these type of financial transfers and prevent a decrease of support from children to parents.

The inequality of health human resource is a worldwide problem, and solving it also is one of the major goals of China’s recent health system reform. Yet there is a huge disparity among cities in mainland China. The aim of this study is to analyze the distribution inequality of the health human resource in 322 prefecture-level cities of mainland China in 2014, and to reveal the facets and causes of the inequalities. The data for this study were acquired from the provincial and municipal Health Statistics Yearbook (2014) and Statistical Yearbook (2014), the municipal National Economic Bulletin (2014), and the official websites of municipal governments, involving 322 prefecture-level cities. Meanwhile, Concentration Index was used to measure the magnitude of the unequal distribution of health human resource. A decomposition analysis was employed to quantify the contribution of each determinant to the total inequality. The overall concentration index of doctors and nurses in mainland China in 2014 was 0.1038 (95% CI = 0.0208, 0.1865) and 0.0785 (95% CI =0.0018, 0.1561). Decomposition of the concentration index revealed that economic status was the primary contributor (58.5% and 57%) to the inequality of doctors and nurses, followed by the Southwest China (19.1% and 18.6%), urbanization level (− 13.1% and − 12.8%), and revenue (8.0% and 7.8%). Party secretaries with Master degree (7.0%, 6.8%), mayors who were 60 years old or above (6.3%, 6.1%) also were proved to be a major contributor to the inequality of health human resource. There was inequality of health human resource distribution which was pro-rich in mainland China in 2014. Economic status of the cities accounted for most of the existing inequality, followed by the Southwest China, urbanization level, revenue, party secretaries with Master degree, and mayors who were 60 years old or above in respective importance. Besides, the party secretaries and mayors also had certain influence on the allocation of health human resource. The tough issue of HHR inequality should be addressed by comprehensive measures from a multidisciplinary perspective.

The Chinese government has long been committed to eliminating the inequality in the utilization of health services; however, it still lacks an analysis or measurement of the economy-related inequality in the utilization of women’s health services. The economy-related utilization of health services in women aged 15 years and above was assessed by the horizontal inequity index of a two-week outpatient rate and annual inpatient rate from the 5th National Health Service Survey of Shaanxi Province. The concentration index of each factor was decomposed into the contribution of each factor to the economic-related inequality of health service utilization based on the Probit regression model. The horizontal inequity indexes of the two-week outpatient rate was 0.0493, and the horizontal inequity indexes of the annual impatient rate was 0.0869. The contributions of economic status to the two indexes were 190.71% and 115.80%, respectively. Economic status, age, basic medical insurance, educational status, marital status, urban/rural area, and self-rated health were the main impact factors that affected the inequality in women’s health services utilization in Shaanxi. Health service utilization was different between women with different social demographic characteristics, and unequal health service utilization is evident among women in Shaanxi.