Background: China’s fragmentation of social health insurance schemes has become a key obstacle that hampers equal access to health care and financial protection. This study aims to explores if the policy intervention Urban and Rural Residents Basic Medical Insurance (URRBMI) scheme, which integrates Urban Resident Basic Medical Insurance (URBMI) and New Rural Cooperative Medical Scheme (NCMS), can curb the persistent inequity of catastrophic health expenditure (CHE) and further analyses the determinants causing inequity. Methods: Data were derived from the Fifth National Health Service Survey (NHSS). A total of 11,104 households covered by URRBMI and 20,590 households covered by URBMI or NCMS were selected to analyze CHE and the impoverishment rate from medical expenses. Moreover, the decomposition method based on a probit model was employed to analyse factors contributing CHE inequity. Results: The overall incidence of CHE under integrated insurance scheme was 15.53%, about 1.10% higher than the non-integrated scheme; however, the intensity of CHE and impoverishment among the poorest was improved. Although CHE was still concentrated among the poor under URRBMI (CI = -0.53), it showed 28.38% lower in the degree of inequity. For URRBMI households, due to the promotion of integration reform to the utilization of rural residents’ better health services, the factor of residence (24.41%) turns out to be a major factor in increasing inequity, the factor of households with hospitalized members (− 84.53%) played a positive role in reducing inequity and factors related to social economic status also contributed significantly in increasing inequity. Conclusion: The progress made in the integrated URRBMI on CHE equity deserves recognition, even though it did not reduce the overall CHE or the impoverishment rate effectively. Therefore, for enhanced equity, more targeted solutions should be considered, such as promoting more precise insurance intervention for the most vulnerable population and including costly diseases suitable for outpatient treatment into benefit packages. Additionally, comprehensive strategies such as favourable targeted benefit packages or job creation are required for the disadvantaged.

Objective: Elderly patients with type 2 diabetes mellitus are highly vulnerable due to severe complications. However, there is a contradiction in the relationship between social support and quality of life, which warrants further exploration of the internal mechanism. This study assessed the quality of life and its interfering factors in this patient population. Methods: In total, 571 patients with type 2 diabetes mellitus over 60 years old were recruited from two community clinics in Heilongjiang Province, China. We collected data on health status, quality of life, self-management behavior, fasting plasma glucose (FPG) level, and social support. Structural equation modeling and the bootstrap method were used to analyze the data. Results: The average quality of life score was − 29.25 ± 24.41. Poorly scored domains of quality of life were “Psychological feeling” (− 8.67), “Activity” (− 6.36), and “Emotion” (− 6.12). Of the 571 patients, 65.32% had normal FPG, 9.8% had high-risk FPG, 15.94% had good self-management behavior, and 22.07% had poor social support. Significant correlations among social support, self-management behavior, FPG level, and quality of life were noted. A multiple mediator model revealed that social support influenced quality of life in three ways: (1) directly (c′ = 0.6831); (2) indirectly through self-management behavior (a1*b1 = 0.1773); and (3) indirectly through FPG control (a2*b2 = 0.1929). Self-management behavior influenced the quality of life directly and indirectly through FPG control. Conclusion: Improving self-management behavior and monitoring hypoglycemia should become priority targets for future intervention. Scheduled social support to self-management projects should be put into the standardized management procedure. Physicians should provide substantial and individualized support to the elderly patients with type 2 diabetes mellitus regarding medication, blood glucose monitoring, and physical exercise.

Hostility can result in negative outcomes in people living with HIV/AIDS (PLWHA); however, previous research on this topic is far from adequate. To contribute to existing knowledge on this aspect of PLWHA, the current study examined the prevalence of hostility and its potential influencing factors among PLWHA. A cross-sectional questionnaire survey was undertaken on 218 HIV patients in Heilongjiang Province of China between March and August in 2013. A multiple logistic regression analysis was performed to identify factors associated with hostility. The prevalence of hostility was 17.0% among the participants. The three most alarming types of hostility included desiring to kill the person who infected them, blaming the infection on the society, and abandoning themselves to despair. A multiple logistic regression model identified that depression (OR = 3.845, 95% CI = 1.309–9.229), perceived stigma (OR = 3.281, 95% CI = 1.109–7.711), and fear of dying (OR = 2.710, 95% CI = 1.068–6.881) were the risk factors for hostility, while higher levels of trust-in-doctor (OR = 0.176, 95% CI = 0.060–0.517) and per capita household income (OR = 0.344, 95% CI = 0.119–0.991) were protective factors. Our findings highlight the prominent influence of psychological, healthcare, and social factors on hostility among PLWHA. Interventions specifically targeted to reduce hostility should be provided, including incorporating psychological service into HIV management guidelines, enhancing PLWHA’s trust-in-doctor, establishing comprehensive services for PLWHA, reducing the social stigma against PLWHA, and paying more attention to PLWHA with financial problems. These interventions may improve the management and control of HIV/AIDS.