China is in the process of integrating the new cooperative medical scheme (NCMS) and the urban residents’ basic medical insurance system (URBMI) into the urban and rural residents’ basic medical insurance system (URRBMI). However, how to integrate the financing policies of NCMS and URBMI has not been described in detail. This paper attempts to illustrate the differences between the financing mechanisms of NCMS and URBMI, to analyze financing inequity between urban and rural residents and to identify financing mechanisms for integrating urban and rural residents’ medical insurance systems. Financing data for NCMS and URBMI (from 2008 to 2015) was collected from the China health statistics yearbook, the China health and family planning statistics yearbook, the National Handbook of NCMS Information, the China human resources and social security statistics yearbook, and the China social security yearbook. “Ability to pay” was introduced to measure inequity in health financing. Individual contributions to NCMS and URBMI as a function of per capita disposable income was used to analyze equity in health financing between rural and urban residents. URBMI had a financing mechanism that was similar to that used by NCMS in that public finance accounted for more than three quarters of the pooling funds. The scale of financing for NCMS was less than 5% of the per capita net income of rural residents and less than 2% of the per capita disposable income of urban residents for URBMI. Individual contributions to the NCMS and URBMI funds were less than 1% of their disposable and net incomes. Inequity in health financing between urban and rural residents in China was not improved as expected with the introduction of NCMS and URBMI. The role of the central government and local governments in financing NCMS and URBMI was oscillating in the past decade. The scale of financing for URRBMI is insufficient for the increasing demands for medical services from the insured. The pooling fund should be increased so that it can better adjust to China’s rapidly aging population and epidemiological transitions as well as protect the insured from poverty due to illness. Individual contributions to the URBMI and NCMS funds were small in terms of contributors’ incomes. The role of the central government and local governments in financing URRBMI was not clearly identified. Individual contributions to the URRBMI fund should be increased to ensure the sustainable development of URRBMI. Compulsory enrollment should be required so that URRBMI improves the social medical insurance system in China.

Objectives Patient satisfaction is an important indicator of hospital healthcare quality. Little up-to-date information of patient satisfaction in China is available. This study attempts to gain a holistic understanding of patient satisfaction in China and identify the key antecedents of patient satisfaction. Design A cross-sectional national survey was conducted in 2018. Setting Hospitals in 27 provinces and 4 municipalities in 4 regions of China. Participants A random sample of 15 699 patients who visited 1304 hospitals were surveyed, with around 500 from each of the 27 provinces and 4 municipalities. Primary and secondary outcome measures The Hospital Consumer Assessment of Healthcare Providers and Systems questionnaire was used to measure patients’ overall satisfaction and willingness to recommend the hospital. Results We found significant variation in overall patient satisfaction but little variation in hospital recommendation across the four broad regions. Moreover, we examined determinants of patient satisfaction and their likelihood to recommend the hospital. The overall satisfaction for inpatients and outpatients is commonly influenced by communication with doctors (inpatient: β=0.524, p<0.001; outpatient: β=0.541, p<0.001), hospital cleanness (inpatient: β=0.165, p<0.05; outpatient: β=0.144, p<0.001) and acceptable charges (inpatient: β=1.481, p<0.001; outpatient: β=1.045, p<0.001). Both inpatients and outpatients are more likely to recommend the hospital if there are communication with doctors (inpatient: OR=1.743, p<0.001; outpatient: OR=1.647, p<0.001), acceptable charges (inpatient: OR=2.660, p<0.001; outpatient: OR=2.433, p<0.001). Outpatient satisfaction and hospital recommendation are also influenced by time spent with doctors (satisfaction: β=0.301, p<0.001; recommend: OR=1.430, p<0.001) and waiting time (satisfaction: β=−0.318, p<0.001; recommend: OR=0.844, p<0.001). Conclusions There are regional differences of patient satisfaction in China. Patient satisfaction is influenced by a variety of hospital factors and province/municipality factors. The influencing factors of patient satisfaction may not motivate patients to recommend the hospital.

Objective: The objective of this study is to explore the association between patient-centered care (PCC) and inpatient healthcare outcomes, including self-reported physical and mental health status, subjective necessity of hospitalization, and physician-induced demand behaviors.Methods: A cross-sectional survey was conducted to assess patient-centered care among inpatients in comprehensive hospitals through QR codes after discharge from September 2021 to December 2021 and had 5,222 respondents in Jiayuguan, Gansu. The questionnaire included a translated 6-item version of the PCC questionnaire, physician-induced behaviors, and patients' sociodemographic characteristics including gender, household registration, age, and income. Logistic regression analyses were conducted to assess whether PCC promoted self-reported health, the subjective necessity of hospitalization, and decreased physician-induced demand. The interactions between PCC and household registration were implemented to assess the effect of the difference between adequate and inadequate healthcare resources.Results: PCC promoted the patient's self-reported physical (OR = 4.154, p < 0.001) and mental health (OR = 5.642, p < 0.001) and subjective necessity of hospitalization (OR = 6.160, p < 0.001). Meanwhile, PCC reduced physician-induced demand in advising to buy medicines outside (OR = 0.415, p < 0.001), paying at the outpatient clinic (OR =0.349, p < 0.001), issuing unnecessary or repeated prescriptions and medical tests (OR = 0.320, p < 0.001), and requiring discharge and readmitting (OR = 0.389, p < 0.001).Conclusion: By improving health outcomes for inpatients and reducing the risk of physician-induced demand, PCC can benefit both patients and health insurance systems. Therefore, PCC should be implemented in healthcare settings.

Background: Patient trust in physicians, which can be considered a collective good, is necessary for an effective health care system. However, there is a widespread concern that patient trust in physicians is declining under various threats to the physician–patient relationship worldwide. This article aimed to assess patient trust in physicians through a quantitative study in Shanghai, China, and to provide appropriate suggestions for improving the trust in China. Methods: The data from a survey conducted in Zhongshan Hospital and Shanghai Tenth People's Hospital, which are two tertiary public hospitals in Shanghai, were used in this study. Patient trust in physicians was the dependent variable. Furthermore, a 10-item scale was used to precisely describe the dependent variable. The demographic characteristics were independent variables of trust in physicians. Binomial logistic regression was employed to analyze the factors associated with the dependent variable, which was divided into two categories on the basis of the responses (1: Strongly agree or agree and 0: Strongly disagree, disagree, or neutral). Results: This study found that 67% of patients trusted or strongly trusted physicians. The mean score of patient trust in physicians was 35.4 from a total score of 50. Furthermore, patient trust in physicians was significantly correlated with the age, education level, annual income, and health insurance coverage of the patients. Conclusions: Patient trust in physicians in Shanghai, China is higher than previously reported. Furthermore, the most crucial reason for patient distrust in physicians is the information asymmetry between patients and physicians, which is a natural property of the physician–patient relationship, rather than the so-called for-profit characteristic of physicians or patients' excessive expectations.

This study aimed to assess the mortality risks for human infection with high (HPAI) and low (LPAI) pathogenicity avian influenza viruses. The HPAI case fatality rate (CFR) was far higher than the LPAI CFR [66.0% (293/444) vs. 68.75% (11/16) vs. 40.4% (265/656) vs. 0.0% (0/18) in the cases with H5N1, H5N6, H7N9, and H9N2 viruses, respectively; p < 0.001]. Similarly, the CFR of the index cases was greater than the secondary cases with H5N1 [100% (43/43) vs. 43.3% (42/97), p < 0.001]. Old age [22.5 vs. 17 years for H5N1, p = 0.018; 61 vs. 49 years for H7H9, p < 0.001], concurrent diseases [18.8% (15/80) vs. 8.33% (9/108) for H5N1, p = 0.046; 58.6% (156/266) vs. 34.8% (135/388) for H7H9, p < 0.001], delayed confirmation [13 vs. 6 days for H5N1, p < 0.001; 10 vs. 8 days for H7N9, p = 0.011] in the fatalities and survivors, were risk factors for deaths. With regard to the H5N1 clusters, exposure to poultry [67.4% (29/43) vs. 45.2% (19/42), p = 0.039] was the higher risk for the primary than the secondary deaths. In conclusion, old age, comorbidities, delayed confirmation, along with poultry exposure are the major risks contributing to fatal outcomes in human HPAI and LPAI infections.