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Objective:To explore the status of depression symptoms and related factors of depressive symptoms in middle-aged and elderly disabled people in China and provide references on the preventive cares of depression.Methods:Research data were obtained from the 2018 follow-up data of China Health and Retirement Longitudinal Study(CHARLS).Disabled people were selected as the research object. The scores of center for epidemiological studies depression scale(CES-D) were used to evaluate depressive symptoms. Fourteen variables derived from the 3 dimensions of demographic characteristics, health status, and health related behaviors were utilized in this study.SAS 9.4 were used for descriptive analysis, univariate analysis and Logistic regression analysis.Results:A total of 1 708 middle-aged and elderly disabled people were included, among whom 932(54.5%)were diagnosed with depressive symptoms, and the score of CES-D was (11.45±7.19).Self-rated poor health, self-rated poor memory, life dissatisfaction, physical pain were the risk factors of depressive symptoms ( OR=1.87, 4.22, 1.83, 5.30, 1.75). Male, educational level (middle-high school, high school or above), sleeping duration (6-9 h) were the protective factors of depressive symptoms( OR=0.74, 0.72, 0.10, 0.56). Conclusion:Middle-aged and elderly disabled people in China have a high detection rate of depressive symptoms. Female, lower education background, inadequate amount of sleep, self-rated unsatisfactory healthy, self-rated poor memory, dissatisfaction towards life and suffering from physical pain may be more likely to have depressive symptoms in middle-aged and elderly people with disabilities.
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Objective To study the dynamic changes of scientific research efficiency of 51 departments in a top three hospitals in Beijing from 2014 to 2016,and to provide reference information for improving the efficiency of scientific research in hospital departments.Methods The CCC model of DEA,BCC model were used for lateral analysis,and then Malmquist index was used for longitudinal analysis.Results There were 12 (23.53％) departments in 2014,11 (21.57％) departments in 2015,9 (17.65％) departments in 2016 data envelopment analysis was valid,from 2014 to 2016,41 (80.39％) departments of the hospital increased the total factor productivity.Conclusions The total factor productivity of the 51 departments in the hospital increased from 2014 to 2016,and technological progress was the main reason for its growth.
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Objective Based on the data of scientific research output in a top three hospital in Beijing from 2015 and 2016,stochastic frontier analysis is conducted to estimate the efficiency of scientific research performance in different departments of this hospital,so as to draw the impetus for the growth of departments.Methods According to the results of the stochastic frontier model,comprehensive analysis and evaluation are conducted for the research performance of various departments.Results The overall average technical efficiency of the hospital is 0.44,and improvement space for the technical efficiency of scientific research performance is still 0.56.There are significant differences in the technical efficiency of each department.Among the four major categories,the D section is higher than the technical efficiency of class A,B and C departments.Conclusions The overall technical efficiency of the hospital is not high,the level of scientific research output of the four types of departments is not balanced,which should be emphasized in the improvement of scientific research performance level.