Objective:To evaluate the impact of the reform of the county medical community on the expenditure of medical insurance funds, and to provide references for maintaining the stability of the medical insurance fund and deepening the reform of the medical community.Methods:Medical insurance data of urban and rural residents in M County, Yunnan province from 2016 to 2019 were collected, and a discontinuous time series model was used to analyze the impact of county medical community reform on medical insurance fund expenditures.Results:Since the reform, the number of patients discharged from county-level hospitals has shown a downward trend, averaging a decrease of 25.996 people per month; yet increases have emerged with the average hospitalization expenditure, the average hospitalization overall fund expenditure, and the average outpatient overall fund expenditure, averaging a monthly increase of 90.931 yuan, 50.014 yuan and 1.528 yuan respectively. The average hospitalization expenditure, the average hospitalization overall fund expenditure, and the average outpatient overall fund expenditure of the township hospitals all showed an upward trend, averaging a monthly increase of 31.191 yuan, 38.678 yuan and 0.085 yuan respectively. The flow of external medical insurance funds of the medical community has shown a continuous upward trend, averaging a monthly increase of hospitalization fund expenditures of 33.005 yuan, and a monthly increase of outpatient overall fund expenditures of 4.896 yuan overall.Conclusions:The M County medical community should further strengthen the top-level design, explore the reform of medical insurance payment methods, improve the regional information platform, standardize the referral system, and strengthen supervision to deepen the construction of the medical community to ensure the sustainable operation of medical insurance funds.

Objective: To undersand the monitor of occupational hazards in the enterprises in the past 5 years, as well as the distribution of occupational disease hazards and their dynamic changes in their respective jurisdictions, for providing scientific basis for prevention and control of occupational diseases in relevant departments. Methods: Taking the method of cluster sampling, select the monitoring results of the occupational disease hazard factors commissioned by the Municipal Center for Disease Control and Prevention from 2014 to 2018 and the annual monitoring data of the network of the occupational hazard declaration system of the Safety Supervision Bureau, using chi-square test, trend Statistical analysis was performed by chi-square test or Fisher exact probability method. Results: There were 461 testing companies in the past 5 years, with a total of 15, 186 monitoring points and 43428 samples. The pass rate was 94.32% (14324/15186) . The pass rate was increasing year by year from 2014 to 2017 (P<0.05) ; The pass rate of various occupational disease hazards surveillance were greater than 90% except the rate of physical factors. In 2014, the qualified rate of physical factors was the lowest, which was 86.99% (1558/1791) ; the production rate of different production scale enterprises in 2018 was higher than that of 2014. From 2014 to 2018, the number of inspection enterprises and the number of inspection points of the joint-stock economy and state-owned economic enterprises are both high, 58 (10091 points) and 71 (1830 points) respectively; The qualified rate of state-owned economy and collective economy monitoring is high, 98.36% (1800/1830) and 100% (74/74) respectively. It had reached more than 95%; The enterprises tested mainly from the economic development zone and Guangling, respectively accounting for 34.27% (158/461) and 33.84% (156/461) of the total number of enterprises. Which followed by the Hanjiang, accounting for 23.21% of the total number of enterprises (107/461) ; The monitoring enterprises were mainly distributed in the manufacturing and power industries, which accounted for 85.25% (393/461) and 6.07% (28/461) of the total number of enterprises, respectively. Conclusion The monitoring rate of enterprises had been increasing year by year from 2014 to 2018. Noise was the main disease prevention and controlling factor in the area.In addition, micro-enterprises, individual economy and foreign-invested economy were the key targets for occupational health.