1.Study on the influencing factors of turnover intention of pre-hospital emergency nurses in Beijing
Xingmiao FENG ; Pengyu JIA ; Yadong WANG ; Zhongjun GUAN ; Kai MENG
Chinese Journal of Hospital Administration 2022;38(4):256-261
Objective:To explore the influencing factors of turnover intention of pre-hospital emergency nurses in Beijing, and provide references for reducing the turnover rate of pre-hospital emergency nurses and stabilizing the pre-hospital emergency nursing team.Methods:Pre-hospital emergency nurses from 2 emergency centers in Beijing were selected as the survey objects, and a self-designed questionnaire was used to conduct an online survey in September 2019. The questionnaire covered such aspects as the main demographic characteristics, workload, doctor-patient relationship, professional identity, job burnout and turnover intention. Descriptive analysis was conducted for the data, while rank-sum test and Kappa consistency test were used for univariate analysis, and ordered logistic regression analysis was used for multivariate analysis.Results:A total of 340 valid questionnaires were received, among which 41.5% (141) of the nurses said that they occasionally considered quitting, 11.7% (40) said they often considered quitting, while the scoring of professional identity was (33.29±6.00), and that of job burnout was (63.70±14.90). Univariate analysis showed that age, work units, self-rated health status, professional identity, job burnout, seniority, workload, doctor-patient relationship, and pressure of title promotion were significant ( P<0.05). The results of multivariate analysis showed that job burnout, average number of car trips per shift, and self-rated health status were positively correlated with turnover intention, while professional identity was negatively correlated with turnover intention ( P<0.05). Conclusions:The turnover intention of pre-hospital emergency nurses in Beijing was found at a high level. The authorities are recommended to rationalize the scheduling system and increase the staffing of pre-hospital emergency nurses; establish the diversion policy, title promotion system and post risk special allowance for such nurses; and train medical aid workers to undertake the transfer and lifting of patients, so as to reduce the turnover intention of these nurses.
2.Study on the Competition Status and Spatial Correlation of Medical Market in Beijing
Xinyue SUN ; Yu WANG ; Xingmiao FENG ; Bo LV ; Kai MENG
Chinese Hospital Management 2024;44(1):19-22
Objective To analyze the competition status and spatial autocorrelation of Beijing medical market from 2015 to 2019.Methods The Herfindahl-Hirschman Index(HHI)was used to calculate the degree of market competi-tion in 16 districts of Beijing,and the Moran index was used to calculate the spatial autocorrelation of market compe-tition.Results Except for the number of discharged patients,the average HHI of the number of health technicians,the number of beds and the total number of medical visits in 16 medical markets in Beijing from 2015 to 2019 showed a downward trend between 0.2 and 0.4,and the spatial global Moran index of the HHI index was all less than 0,showing a spatial negative correlation with the degree of competition in the medical market.Conclusion The medical market competition in Beijing is strengthened,the competition gap between urban and rural areas is large,and the competition in adjacent markets is mutually exclusive.It is suggested to strengthen the differentiated develop-ment of hospitals,strengthen the balanced layout between regions,and promote the low-competitive market with cross-regional medical association,forming a positive spillover effect.
3.Current situation and influencing factors of physicians′ innovative behavior in Beijing municipal hospitals
Xingmiao FENG ; Shulan WEN ; Mingqiang PENG ; Bing LIU ; Kai MENG
Chinese Journal of Hospital Administration 2023;39(9):667-672
Objective:To understand the current situation of physicians′ innovative behavior and its influencing factors in Beijing municipal hospitals, for reference in improving their innovation ability and encouraging high-quality development of public hospitals.Methods:A stratified sampling was conducted with 22 practicing (assistant) physicians in Beijing municipal hospitals as subjects. From October to November 2022, a questionnaire survey was conducted to understand the innovative behavior, innovative self-efficacy and innovative atmosphere of such practicing (assistant) physicians. SPSS 25.0 was used for descriptive analysis of the data, while t-test, variance analysis and linear regression were used for univariate analysis. Furthermore, multiple linear regression was adopted to explore the influencing factors of innovative behavior of such practicing(assistant) physicians. Results:A total of 2 178 questionnaires were distributed in this study, and 1 906 valid ones were recovered, with effective recovery of 87.51%. Scores of innovative behavior, innovative self-efficacy and innovative atmosphere of 1 906 practicing (assistant) physicians scored (4.00±0.70) points, (3.85±0.74) points and (3.98±0.66) points respectively. The results of univariate analysis showed scores of statistical significance regarding the innovative behavior of practicing (assistant) physicians with different marital status, educational background, professional title, position, department type, innovative self-efficacy level and innovative atmosphere level. Multiple linear regression results showed that position, innovation self-efficacy score, innovation atmosphere score and subordinates′ incentive mechanism, as well as teamwork and resource security had statistical significance on innovation behavior score.Conclusions:The practicing (assistant) physicians in Beijing municipal hospitals are highly enthusiastic for innovation, but their innovative behavior is expected to be upgraded. In this regard, public hospitals should improve their innovation incentive mechanism, strengthen resource assurance, encourage cooperation and exchange, and create a desirable atmosphere for innovation. Furthermore, greater supply of continuing education resources is expected, supporting these physicians in their further study, advanced education, and promotion of professional titles.
4.Analysis of the incentive level and its influencing factors of family doctors in Beijing
Ziyan ZHAI ; Bo LYU ; Yu WANG ; Xinyue SUN ; Xingmiao FENG ; Shuyu LIANG ; Kai MENG
Chinese Journal of Hospital Administration 2023;39(11):851-856
Objective:To analysis the incentive level of family doctors in primary medical and health institutions in Beijing, and to explore its influencing factors, so as to provide references for promoting family doctors′ contract service.Methods:From October to December 2021, 40 family doctors were randomly selected from 135 urban community health service centers in 8 districts of Beijing, and a survey was conducted on basic demographic information, institutional organizational capacity evaluation, and family doctor incentive level evaluation (including four dimensions of work value, organizational environment, personal development, and reward compensation), and the influencing factors of family doctor incentive level was analyzed. Chi-square test and Pearson correlation analysis were used for univariate analysis, and multiple linear regression analysis was used for multivariate analysis.Results:A total of 4 568 family doctors were included, and the score of family doctors′ incentive level was 3.75±0.81, among which the work value score was the highest(3.89±0.77), followed by the organizational environment score(3.69±0.92) and personal development score(3.75±0.90), and the lowest score was reward(3.75±0.90). Age, education, professional title, working years and average total working hours per week negatively affected the incentive level( P<0.05), while the average monthly income, the frequency of attending training and further study, and the organizational ability of the organization positively affected the incentive level( P<0.05). Conclusions:The overall incentive level of family doctors in primary medical and health institutions in Beijing needed improvement, and there were many factors that affect the incentive level of family doctors. It was recommended to appropriately increase the salary and benefits of family doctors, reasonably arrange the workload of family doctors, strengthen the training mechanism of family doctors, and strengthen the organizational capacity building of primary medical and health institutions.