China adopted family doctor (FD) to help achieve “Healthy China 2030” through providing continuous, comprehensive, and life-cycle contract services. However, there is a disparity between actual and targeted FD use, as residents continue to visit specialists in large hospitals. The government implemented initiatives to improve residents’ willingness to sign up with and visit their FDs. Factors that influence contract behavior are therefore significant for frontier policy research. Two survey waves were conducted in Shanghai (2013 and 2016). The first wave included 2754 people and the second 1995 people. Exploratory factor analysis was used to synthesize “satisfaction” as a predictor of contract behavior. Pearson’s chi-square, pooled and logistic regression models were used to estimate associations between influencing factors and contract behavior, and clarify variations in factors across the two waves. Four factors were extracted from 15 satisfaction items: “Treatment Environment,” “Medical Technology,” “Service Specification” and “Service Attitude”. Consistent with descriptive analysis, longitudinal analysis showed sociodemographic characteristics (age, education, marital status, and hukou) were significant predictors of contract behavior. The odds ratio of non-communicable diseases (NCD) patients for contract behavior was 2.218 times that of residents without NCD. Contract behavior was positively correlated with awareness of FD services (OR = 21.674, 95%CI = 15.043–31.229), satisfaction with Service Attitude (OR = 1.210, 95%CI = 1.009–1.451), and visit compliance (OR = 1.959, 95%CI = 1.564–2.452). Over time, the odds ratios of the married, Shanghai hukou, NCD, and awareness of FD services declined from 0.456, 1.795, 2.492, 28.690 to 0.443, 1.678, 1.910 and 14.031 respectively, while those of age, and visit compliance increased from 1.027, 1.521 to 1.041 and 2.305 respectively. In 2016, an education-contract gradient had formed (the higher the education level, the higher probability of signing with a FD), whereas high school education had the highest odds ratio (OR = 1.163,95%CI = 0.740–1.827) in 2013. Service Attitude was the only significant satisfaction-related predictor (OR = 1.358, 95%CI = 1.001–1.842) in 2016, compared with “Treatment Environment” (OR = 1.224, 95%CI = 1.001–1.496) and “Service Specification” in 2013(OR = 1.270, 95%CI = 1.040–1.552). Except for the socio-demographic variables, NCD, awareness of FD services, satisfaction and visit compliance were significant predictors of contract behavior with FDs. The effect of visit compliance had increased over time while NCD and awareness of FD services were losing impact over time. Significant satisfaction factors had also changed from “Treatment Environment” and “Service Specification” to “Service Attitude”.

Changning District of Shanghai pioneered in implementing Family Doctor and Medical Insurance Payment Coordination Reform. The survey aimed to assess the effect of the reform to provide a decision-making basis for ensuring the “gatekeeper” role of the family doctor. A cross-sectional survey was conducted using a self-designed questionnaire in Changning District of Shanghai during January and February in 2014. Multi-stage random cluster was applied and 3040 residents were selected. Comparisons were made with statistically test between the contracted and non-contracted residents in four policy targeted dimensions, doctor-visiting behavior, health management and status, medical cost control and satisfaction. Compared with the non-contracted residents, the contracted residents (72.9%) presented a higher prevalence rate of chronic diseases (32.6%), a higher proportion (51.9%) in first-contact in the community health service center and a higher proportion to refer to specialists as well (P < 0.001).The result showed that the average annual medical expense were significantly higher than non-contracted residents (P < 0.001), however, the difference disappeared after age, medical insurance and other socio-demographic variables were controlled. In terms of self-management of non-communicable diseases and complication prevention, the blood pressure control rate and blood glucose control rate for the contracted group were also higher than the counterparts, reaching up to 85.6 and 72.7% respectively. The preliminary analysis indicated that the contracted residents performed better in orderly doctor visiting behavior, health management behavior, health status and satisfaction. Follow up survey is necessary to further analyze the policy effect.

Background: Chronic obstructive pulmonary disease (COPD), the most common chronic respiratory disease worldwide, not only leads to the decline of pulmonary function and quality of life consecutively, but also has become a major economic burden on individuals, families, and society in China. The purpose of this meta-analysis was to explore the risk factors for developing COPD in the Chinese population that resides in China and to provide a theoretical basis for the early prevention of COPD. Methods: A total of 2457 cross-sectional, case-control, and cohort studies published related to risk factors for COPD in China were searched. Based on the inclusion and exclusion criteria, 20 articles were selected. Stata 11.0 was used for meta-analysis. After merging the data, the pooled effect and 95% confidence intervals (CIs) were calculated to assess the association between risk factors and COPD. Heterogeneity between studies was assessed using I² and Cochran’s Q tests. Begg’s test was used to assess publication bias. Results: Exposure to particulate matter less than 2.5 μm in diameter (PM2.5) (pooled effect = 1.73; 95%CI: 1.16~2.58; P <0.01), smoking history (pooled effect = 2.58; 95%CI: 2.00~3.32; P <0.01), passive smoking history (pooled effect = 1.39; 95%CI: 1.03~1.87; P = 0.03), male sex(pooled effect = 1.70; 95%CI: 1.31~2.22; P <0.01), body mass index (BMI) <18.5 kg/m² (pooled effect = 1.73; 95%CI: 1.32~2.25; P <0.01), exposure to biomass burning emissions (pooled effect = 1.65; 95%CI: 1.32~2.06; P <0.01), childhood respiratory infections (pooled effect = 3.44; 95%CI: 1.33~8.90; P = 0.01), residence (pooled effect = 1.24; 95%CI: 1.09~1.42; P <0.01), and a family history of respiratory diseases (pooled effect = 2.04; 95%CI: 1.53~2.71; P <0.01) were risk factors for COPD in the Chinese population. Conclusion: Early prevention of COPD could be accomplished by quitting smoking, reducing exposure to air pollutants and biomass burning emissions, maintaining body mass index between 18.5 kg/m² and 28 kg/m², protecting children from respiratory infections, adopting active treatments to children with respiratory diseases, and conducting regular screening for those with family history of respiratory diseases.

Background: Although China began implementing medical reforms in 2009 aimed at fair allocation of the regional distribution of doctors, little is known of their impact. This study analyzed the geographic distribution of doctors from 2002 to 2017. Methods: This study calculated the Gini coefficient and Theil index among doctors in the eastern, central, and western regions (Category 1) of China, and in urban and rural areas (Category 2). The statistical significance of fairness changes was analyzed using the Mann–Whitney U test. Results: The annual growth rates of the number of doctors for the periods from 2002 to 2009 and 2010 to 2017 were 2.38% and 4.44%. The Gini coefficients among Category 1 were lower than those in Category 2, and statistically decreased after the medical reforms (P < 0.01) but continued to increase in Category 2 (P = 0.463). In 2017, the Theil decomposition result of Category 1 was 74.33% for the between-group, and in Category 2, it was 95.22% for the within-group. Conclusions: The fairness among the regional distribution of doctors in Category 1 is now at a high level and is better than that before the reforms. While the fairness in Category 2 is worse than that before the reforms, it causes moderate inequality and is continually decreasing. Overall unfairness was found to be derived from the between-group.

Objectives Since 2010, the Chinese government has gradually increased its investment in the training of general practitioners (GPs) to support their role as ‘gatekeepers’ in the healthcare system. However, this training is still organised from the perspective of specialist care. We aimed to assess the appropriateness of the principal GP admission training programme curricula in China, including Residents Training for GPs (RTGP), Residents Training for Assistant GPs (RTAGP) and Training for Specialists with General Practice interest (TSGP). Setting The study focussed on GP training programmes in Shanghai, China. Participants Data on disease competences developed in three GP clinical training programmes (RTGP, RTAGP and TSGP) were derived from official programme training manuals. Data on the proportion of outpatient visits for each disease were taken from the Shanghai community healthcare centres grassroots outpatient database. Primary and secondary outcome measures We first conducted a quantitative analysis by comparing the structure of current training curricula with actual outpatient utilisation patterns across all community healthcare institutions in Shanghai from 2014 to 2018. Qualitative analysis was then conducted to evaluate GP training programmes based on Donabedian’s model. Results Quantitative analysis showed that the distribution of diseases for which competences were taught did not match the composition of outpatient visits in community healthcare institutions. Concerns identified through qualitative analysis included teachers who were mostly specialists, lack of equipment for differential diagnosis in community healthcare institutions, insufficient teaching of referral standards and GP training in large hospitals that consistently neglected communication skills. Conclusions The establishment and implementation of admission training programmes for GPs in China lacks a focus on general practice training and may be improved by adopting an evidence-based general perspective aligned with the medical needs of the community.