OBJECTIVE To investigate and analyze the prevalence rate as well as antibiotics usage in tumor hospital. METHODS The nosocomical prevalence rate of 350 cases in our hospital on 22 Apr,2008 were investigated through and case records. RESULTS Of total 350 cases,15 cases had nosocomial infection with an infection rate 4.3%,and 16 infected sites 4.6% existed.Of all the nosocomial infection cases,the respiratory infection was 40.0% and the urinary tract infection was 26.7%.The antibiotic use rate was 23.7%,from them 65.1% with a single antibiotic and 30.1% with two antibiotics combined. CONCLUSIONS By strengthening the surveillance of clinical departments and the management of antibiotic use the nosocomial infection control could be improved.

Objective To study the protein expression profiles in stegnotic and normal segment of Hirschspning disease (HD) and find the differentially expressed proteins. Methods Immobilized pH gradient two-dimensional polyacrylamide gel electrophoresis (2-DE) was used to isolate the proteins from stegnotic and normal segment of HD. After the samples were treated with silver staining,ImageMaster 2D Platinum analysis software was used to analyze the differentially expressed proteins. Results Repeatable 2-DE profiles were obtained. The mean matching rates of the stegnotic and normal mucosa were 78.1% and 86.7%,respectively. Totally, 103 spots of differentially expressed proteins were screened out between the stegnotic and the normal segment of HD. Conclusion Good reproduuibility and resolution could be obtained in the tissues of HD by applying immobilized pH gradient two-dimensional polyacrylamide gel electrophoresis.Screened differentially expressed proteins may provide the candidates of the markers for early detection of HD.

Objective: To investigate the reproductive health status of female workers in petrochemical industry, and to provide a reference for improving reproductive health status and developing preventive and control measures for female workers in petrochemical industry. Methods: A face-to-face questionnaire survey was performed from January to October, 2016. The Questionnaire on Women's Reproductive Health was used to investigate the reproductive health of female workers in petrochemical industry. The multivariate logistic regression model was used to identify the influencing factors for reproductive health of female workers in petrochemical industry. Results: Among the 7485 female workers, 1 268 (40.9%) had abnormal menstrual period, 1 437 (46.4%) had abnormal menstrual volume, 177 (28.5%) had hyperplasia of mammary glands, and 1 807 (24.6%) had gynecological inflammation. The reproductive system diseases in female workers in petrochemical industry were associated with the factors including age, marital status, education level, unhealthy living habits, abortion, overtime work, work shift, workload, video operation, occupational exposure, positive events, and negative events, and among these factors, negative events (odds ratio[OR]= 1.856) , unhealthy living habits (OR=1.542) , and positive events (OR=1.516) had greater impact on reproductive system diseases. Conclusion Many chemical substances in the occupational environment of petrochemical industry can cause damage to the reproductive system, which not only affects the health of the female workers, but also poses potential threats to the health of their offspring. Occupational exposure, unhealthy living habits, overtime work, and work shift have great influence on reproductive system diseases in female workers.

Objective: To investigate the reproductive health status of female workers engaged in administrative management, and to provide a reference for protecting the reproductive health of female workers. Methods: From April to November, 2016, a cross-sectional survey was performed for 2717 female workers aged 18-60 years and engaged in administrative management from 13 cities and provinces in China, and a questionnaire was used to investigate their general information, occupational hazards in workplace, and reproductive health status, and the reproductive health status of female workers was analyzed. Results: Of all 2 717 female workers, 1 170 had gynecological diseases or symptoms, resulting in an incidence rate of 43.06%, and among these workers, 11.15% had abnormal menstruation, 34.64% had infertility, and 38.76% had a history of abortion. There were significant differences in the rates of abnormal results of gynecological examination, abnormal menstruation, abortion, and infertility between the female workers in different age groups (P<0.01) . Unhealthy living habits and major events were risk factors for gynecological diseases, abnormal menstruation, and abortion (P<0.05) ; bad working status was a risk factor for gynecological diseases and abortion (P<0.05) ; exposure to harmful factors was a risk factor for gynecological diseases and abnormal menstruation (P<0.05) . Conclusion Living habits, major events, working status, and occupational harmful factors have certain influence on reproductive health of female workers engaged in administrative management. Occupational health protection should be strengthened, working patterns should be improved, self-protection awareness should be raised, and health protection should be enhanced for women of childbearing age to protect and promote the reproductive health of female workers.

Objective:To assess the impact of health insurance packaged payment in medical communities on the economicburden of patients,income and satisfaction of medical staff in counties.Methods:Using sample data from 2018-2022 from the national monitoring counties of medical communities,taking 2020 as the year of implementation of packaged payment,a double difference model was constructed with county population density and county per capita GDP as the control variables to assess the impact of packaged payment on the economic burden of patients,medical staff income and satisfaction in the county.Results:The packaged payment policy reduced the economic burden of patients to a certain extent and had a statistically significant positive effect on medical staff income in 2021,but it did not significantly increase the satisfaction of both supply and demand.Conclusion:The implementation of health insurance packaged payment of the MEC will not increase the economic burden of patients.It has a good pro-poor effect,and the income of medical staff has been improved to some extent,but there is still room for optimisation and improvement of the policy.

Objective:To assess the impact of health insurance packaged payment in medical communities on the economicburden of patients,income and satisfaction of medical staff in counties.Methods:Using sample data from 2018-2022 from the national monitoring counties of medical communities,taking 2020 as the year of implementation of packaged payment,a double difference model was constructed with county population density and county per capita GDP as the control variables to assess the impact of packaged payment on the economic burden of patients,medical staff income and satisfaction in the county.Results:The packaged payment policy reduced the economic burden of patients to a certain extent and had a statistically significant positive effect on medical staff income in 2021,but it did not significantly increase the satisfaction of both supply and demand.Conclusion:The implementation of health insurance packaged payment of the MEC will not increase the economic burden of patients.It has a good pro-poor effect,and the income of medical staff has been improved to some extent,but there is still room for optimisation and improvement of the policy.

Objective:To assess the impact of health insurance packaged payment in medical communities on the economicburden of patients,income and satisfaction of medical staff in counties.Methods:Using sample data from 2018-2022 from the national monitoring counties of medical communities,taking 2020 as the year of implementation of packaged payment,a double difference model was constructed with county population density and county per capita GDP as the control variables to assess the impact of packaged payment on the economic burden of patients,medical staff income and satisfaction in the county.Results:The packaged payment policy reduced the economic burden of patients to a certain extent and had a statistically significant positive effect on medical staff income in 2021,but it did not significantly increase the satisfaction of both supply and demand.Conclusion:The implementation of health insurance packaged payment of the MEC will not increase the economic burden of patients.It has a good pro-poor effect,and the income of medical staff has been improved to some extent,but there is still room for optimisation and improvement of the policy.

Objective:To assess the impact of health insurance packaged payment in medical communities on the economicburden of patients,income and satisfaction of medical staff in counties.Methods:Using sample data from 2018-2022 from the national monitoring counties of medical communities,taking 2020 as the year of implementation of packaged payment,a double difference model was constructed with county population density and county per capita GDP as the control variables to assess the impact of packaged payment on the economic burden of patients,medical staff income and satisfaction in the county.Results:The packaged payment policy reduced the economic burden of patients to a certain extent and had a statistically significant positive effect on medical staff income in 2021,but it did not significantly increase the satisfaction of both supply and demand.Conclusion:The implementation of health insurance packaged payment of the MEC will not increase the economic burden of patients.It has a good pro-poor effect,and the income of medical staff has been improved to some extent,but there is still room for optimisation and improvement of the policy.

Objective:To assess the impact of health insurance packaged payment in medical communities on the economicburden of patients,income and satisfaction of medical staff in counties.Methods:Using sample data from 2018-2022 from the national monitoring counties of medical communities,taking 2020 as the year of implementation of packaged payment,a double difference model was constructed with county population density and county per capita GDP as the control variables to assess the impact of packaged payment on the economic burden of patients,medical staff income and satisfaction in the county.Results:The packaged payment policy reduced the economic burden of patients to a certain extent and had a statistically significant positive effect on medical staff income in 2021,but it did not significantly increase the satisfaction of both supply and demand.Conclusion:The implementation of health insurance packaged payment of the MEC will not increase the economic burden of patients.It has a good pro-poor effect,and the income of medical staff has been improved to some extent,but there is still room for optimisation and improvement of the policy.

Objective:To assess the impact of health insurance packaged payment in medical communities on the economicburden of patients,income and satisfaction of medical staff in counties.Methods:Using sample data from 2018-2022 from the national monitoring counties of medical communities,taking 2020 as the year of implementation of packaged payment,a double difference model was constructed with county population density and county per capita GDP as the control variables to assess the impact of packaged payment on the economic burden of patients,medical staff income and satisfaction in the county.Results:The packaged payment policy reduced the economic burden of patients to a certain extent and had a statistically significant positive effect on medical staff income in 2021,but it did not significantly increase the satisfaction of both supply and demand.Conclusion:The implementation of health insurance packaged payment of the MEC will not increase the economic burden of patients.It has a good pro-poor effect,and the income of medical staff has been improved to some extent,but there is still room for optimisation and improvement of the policy.