Background. In China, the prevalence of diabetes has increased significantly over recent decades, owing to the county’s rapidly aging population. Although many studies have examined the prevalence of diabetes worldwide, there has been little analysis of the inequalities in its prevalence and treatment among middle-aged and elderly people. Objectives. This study evaluates influence factors and inequality in respect to the prevalence of diabetes and medication treatment among middle-aged and elderly Chinese adults. Methods. Data were obtained from the China Health and Retirement Longitudinal Study, a nationally representative household survey of middle-aged and elderly people (i.e., 45 years of age or older). Logistic regression models and the concentration index were used to estimate socioeconomic factors and inequalities in diabetes prevalence and treatment. Results. The prevalence of self-reported diabetes among middle-aged and elderly Chinese adults was 8.4%; this figure was significantly higher in urban areas than in rural areas. Concentrations of prevalence were observed among the poor in urban areas and among the rich in rural areas. Overall, the incidence of receiving antidiabetic medication among diabetes patients was 64.3%; this was significantly higher for individuals in urban areas than those in rural areas, suggesting that awareness of diabetes treatment in urban areas is better than that in rural areas. A disproportionate concentration of incidence of receiving antidiabetic medication was observed among the rich in both urban and rural areas. Socioeconomic factors significantly affected the prevalence of diabetes and the likelihood of receiving medication and are major contributors to inequality. Conclusion. In China, policies and strategies regarding diabetes prevention and control should further focus on associated socioeconomic factors and major contributors to reduce diabetes prevalence, improve diabetes treatment and management, and alleviate current inequality in the prevalence and treatment of diabetes among middle-aged and elderly adults.

China has recently made efforts to integrate urban and rural basic medical insurance systems in order to ensure both urban and rural enrollees obtain unified benefits. However, whether the distribution of government healthcare subsides has become more equitable remains unknown. The purpose of this study was to analyze determinants of and inequality in net inpatient care benefits under the integration of urban-rural medical insurance systems in China. Data were obtained from a nationally representative household survey, the Fifth National Health Services Survey (2013), conducted in Anhui province. A multiple regression model and concentration index (CI) was used to estimate related factors and inequality of inpatient care net benefits. Findings indicated that individuals received more inpatient care benefits when urban and rural social healthcare systems were integrated. Factors associated with net benefits included gender, age, marital status, retirement, educational level, history of chronic diseases, health status, willingness to seek inpatient care and per capita income. The rich were found to disproportionately benefit from inpatient care, and the CI of net benefits for integrated insurance enrollees was the lowest among all three available health insurance schemes. These findings indicate that the recent unification of urban-rural social health insurances reduces inequality in net benefits from government subsidies. Some socioeconomic factors, such as per capita income, 60 years of age and over, history of chronic disease and high educational level positively influence inequality. In China, accelerating the integration of urban and rural medical insurance systems is an effective way to increase equity of benefit in urban and rural areas. Strategies aimed at reducing inpatient benefit inequality must address socioeconomic factors influencing healthcare outcomes.

Background: China has nearly achieved universal health insurance coverage, but considerable unmet healthcare needs still exist. Although this topic has attracted great attention, there have been few studies examining the relationship between universal health insurance coverage and unmet healthcare needs. This study aimed to clarify the impact of universal health insurance coverage and other associated factors on Chinese residents’ unmet healthcare needs. Methods: Data was derived from the fourth, fifth, and sixth National Health Service Survey of Jiangsu Province, which were conducted in 2008, 2013, and 2018, respectively. Descriptive statistics were used to analyze the prevalence of unmet healthcare needs. Binary multivariate logistic regression was used to estimate the association between unmet healthcare needs and universal health insurance coverage, along with other socioeconomic factors. Results: 8.99%, 1.37%, 53.37%, and 13.16% of the respondents in Jiangsu Province reported non-use of outpatient services, inpatient services, physical examinations, and early discharge from hospital, respectively. The trend in the prevalence of unmet healthcare needs showed a decline from 2008 to 2018. Health insurance had a significant reducing effect on non-use of outpatient services, inpatient services, or early discharge from hospital. People having health insurance in 2013 and 2018 were significantly less likely to report unmet healthcare needs compared to those in 2008. The effect of health insurance and its universal coverage on reducing unmet healthcare needs was greater in rural than in urban areas. Other socioeconomic factors, such as age, marital status, educational level, income level, or health status, also significantly affected unmet healthcare needs. Conclusions: Universal health insurance coverage has significantly reduced Chinese residents’ unmet healthcare needs. Policy efforts should pay more attention to the benefits of health insurances in rural areas and optimize urban-rural health resources to promote effective utilization of healthcare.

Objective In general, published studies analyse healthcare utilisation, rather than foregone care, among different population groups. The assessment of forgone care as an aspect of healthcare system performance is important because it indicates the gap between perceived need and actual utilisation of healthcare services. This study focused on a specific vulnerable group, middle-aged and elderly people with chronic diseases, and evaluated the prevalence of foregone care and associated factors among this population in China. Methods Data were obtained from a nationally representative household survey of middle-aged and elderly individuals (≥45 years), the China Health and Retirement Longitudinal Study, which was conducted by the National School of Development of Peking University in 2013. Descriptive statistics were used to analyse sample characteristics and the prevalence of foregone care. Andersen’s healthcare utilisation and binary logistic models were used to evaluate the determinants of foregone care among middle-aged and elderly individuals with chronic diseases. Results The prevalence of foregone outpatient and inpatient care among middle-aged and elderly people was 10.21% and 6.84%, respectively, whereas the prevalence of foregone care for physical examinations was relatively high (57.88%). Predisposing factors, including age, marital status, employment, education and family size, significantly affected foregone care in this population. Regarding enabling factors, individuals in the highest income group reported less foregone inpatient care or physical examinations compared with those in the lowest income group. Social healthcare insurance could significantly reduce foregone care in outpatient and inpatient situations; however, these schemes (except for urban employee medical insurance) did not appear to have a significant impact on foregone care involving physical examinations. Conclusion In China, policy-makers may need to further adjust healthcare policies, such as health insurance schemes, and improve the hierarchical medical system, to promote reduction in foregone care and effective utilisation of health services.

Background: Smoking and excessive drinking are risk factors for many diseases. With the rapid economic development in China, it is important to identify trends in smoking and alcohol consumption and socioeconomic factors that contribute to these behaviors to ensure the health of the population. Methods: we analyzed pooled cross-sectional data from the fourth, fifth, and sixth National Health Service Surveys conducted in Jiangsu Province in 2008, 2013, and 2018, respectively. The study population was those over 15 years old in three surveys. Trends in smoking and alcohol use were analyzed with descriptive statistics, and bivariate and multinomial logistic regression was used to identify contributing factors. Results: Among total sample, smoking rate was 23.95%, in which the incidence of light, moderate and heavy smoking was 5.75, 4.63 and 13.56%, respectively; drinking rate was 23.29%, in which non-excessive drinking and excessive drinking were 19.80 and 3.49%, respectively, “smoking and drinking” rate was 13.41%. From 2008 to 2018, overall and light-to-moderate smoking rates first increased and then decreased while heavy smoking rate declined; alcohol consumption increased while excessive drinking increased before decreasing; and the incidence of “smoking and drinking” has been rising continuously. The trend of smoking and drinking rates in urban area was similar to rural area, however there was significant difference between urban and rural area. Socioeconomic factors, demographic, health-related and year variables were significant influencing factors of smoking and drinking. Conclusion: Our research can provide important evidences for tobacco and alcohol control in China and other similar developing countries. Preventive measures such as education and support services along with stricter regulations for tobacco and alcohol use are needed to improve public health in China.

Background: Patients with type 2 diabetes (T2D) in rural China frequently exhibit inadequate diabetes self-management (DSM) and a reduced quality of life (QoL). Social support and self-efficacy are known to influence DSM and QoL. However, the pathways through which social support and self-efficacy impact DSM and QoL among patients with T2D in rural China has yet to be fully elucidated. Objective: This study offers a foundation for developing policies in rural chronic disease management, thereby, contributing to the improvement of T2D prevention and control in China and other transitional countries. Methods: This study used a cross-sectional design, collecting data from a survey conducted between May and July 2021 on DSM and QoL among rural patients diagnosed with T2D in 2 townships in East China. All patients with T2D were enrolled through cluster sampling from the township health center database, and a questionnaire survey was administered by investigators. Structural equation modeling and multiple regression analyses were used to explore the pathways through which social support influences DSM and QoL, as well as the mediating role of self-efficacy. Results: It was found that the DSM score (mean 37.42, SD 7.70) was less than half of the maximum theoretical score. The QoL score (mean 48.92, SD 8.88) accounted for 36% of the maximum theoretical score. Social support directly and positively affected the DSM and QoL of Chinese rural patients with T2D (P<.01); an increase of 1 unit in social support was associated with a direct increment of 0.339 units in DSM and 0.397 units in QoL. Self-efficacy played a positive mediating role (P<.01), further increasing DSM and QoL by 0.147 and 0.159 units, respectively. The mediating effect of self-efficacy accounted for 30.2% and 28.6% of the total effect of social support on DSM and QoL. Furthermore, the family and friend dimension of social support, along with the symptom and disease management dimensions of self-efficacy, were significantly associated with DSM or QoL (P<.01). Conclusions: The study confirmed the direct and indirect influences of social support on DSM and QoL and elucidated the mediating effect of self-efficacy among rural patients with T2D in eastern China. Interventions should be developed to enhance both social support and self-efficacy, creating a positive cycle of mutual reinforcement to improve DSM and QoL among this group.