scholarly journals Current status and related factors of turnover intention of primary medical staff in Anhui Province, China: a cross-sectional study

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Guimei Chen ◽  
Lingzhi Sang ◽  
Jian Rong ◽  
Huosheng Yan ◽  
Hongzhang Liu ◽  
...  
Keyword(s):  
Social Support ◽  
Human Resources ◽  
Turnover Intention ◽  
Medical Staff ◽  
Psychological Capital ◽  
Pearson Correlation ◽  
Job Burnout ◽  
Current Status ◽  
Capital Social ◽  
Related Factors

Abstract Background The shortage of primary medical staff is an important issue in the management of health human resources, and it is also a problem that all countries in the world need to face together. Since 2009, China has implemented a new series of medical system reforms and the shortage and loss of primary medical staff have been alleviated accordingly. However, China has a large population and it is difficult to distribute health human resources evenly across regions. This study aimed to explore the current status of turnover intention and its relationship with psychological capital, social support, and job burnout, as well as how these factors influence turnover intention of primary medical staff in Anhui province, China. Methods Using structured questionnaires to collect data, including demographic characteristics, turnover intention, psychological capital, social support, and Chinese Maslach Burnout Inventory scale. A total of 1152 primary medical workers of Anhui were investigated. Data were analyzed by t-test, analysis of variance (ANOVA), Pearson correlation analysis, and multiple linear regression model. Results Total scores of turnover intention, psychological capital, social support, and job burnout of subjects were 14.15 ± 4.35, 100.09 ± 15.98, 64.93 ± 13.23 and 41.07 ± 9.437, respectively. Multiple linear regression showed the related factors of turnover intention were age, job position, work unit, and scores of job burnout. Pearson correlation showed psychological capital and social support were negatively correlated with turnover intention, while the score of job burnout was positively correlated with turnover intention. Conclusion The improvement of psychological capital and social support and the reduction of job burnout may play an important role in reducing turnover intention of primary medical staff. Primary medical managers should strengthen the humanistic care for primary medical staff, optimize the incentive mechanism, and improve internal management of medical institutions for stability.

scholarly journals Current status and related factors of turnover intention of primary medical staff in Anhui Province, China: a cross-sectional study

2021 ◽  
Author(s):  
Guimei Chen ◽  
Lingzhi Sang ◽  
Jian Rong ◽  
Huosheng Yan ◽  
Hongzhang Liu ◽  
...  
Keyword(s):  
Social Support ◽  
Human Resources ◽  
Turnover Intention ◽  
Medical Staff ◽  
Psychological Capital ◽  
Pearson Correlation ◽  
Job Burnout ◽  
Current Status ◽  
Capital Social ◽  
Related Factors

Abstract Background The shortage of primary medical staff is an important issue in the management of health human resources, and it is also a problem that all countries in the world need to face together. Since 2009, China has implemented a new series of medical system reforms and the shortage and loss of primary medical staff have been alleviated accordingly. However, China has a large population and it is difficult to distribute health human resources evenly across regions. This study aimed to explore the current status of turnover intention and its relationship with psychological capital, social support, and job burnout, as well as how these factors influence turnover intention of primary medical staff in Anhui province, China.Methods Using structured questionnaires to collect data, including demographic characteristics, turnover intention, psychological capital, social support, and Chinese Maslach Burnout Inventory scale. A total of 1,152 primary medical workers of Anhui were investigated. Data were analyzed by t-test, analysis of variance (ANOVA), Pearson correlation analysis, and multiple linear regression model.Results Total scores of turnover intention, psychological capital, social support, and job burnout of subjects were 14.15 ± 4.35, 100.09 ± 15.98, 64.93 ± 13.23 and 41.07 ± 9.437, respectively. Multiple linear regression showed the related factors of turnover intention were age, job position, work unit, and scores of job burnout. Pearson correlation showed psychological capital and social support were negatively correlated with turnover intention, while the score of job burnout was positively correlated with turnover intention.Conclusion The improvement of psychological capital and social support and the reduction of job burnout may play an important role in reducing turnover intention of primary medical staff. Primary medical managers should strengthen the humanistic care for primary medical staff, optimize the incentive mechanism, and improve internal management of medical institutions for stability.

scholarly journals Current status and related factors of turnover intention of primary medical staff in Anhui Province, China: a cross-sectional study

2021 ◽  
Author(s):  
Guimei Chen ◽  
Lingzhi Sang ◽  
Jian Rong ◽  
Huosheng Yan ◽  
Hongzhang Liu ◽  
...  
Keyword(s):  
Social Support ◽  
Human Resources ◽  
Turnover Intention ◽  
Medical Staff ◽  
Psychological Capital ◽  
Pearson Correlation ◽  
Job Burnout ◽  
Current Status ◽  
Capital Social ◽  
Related Factors

Abstract Background The shortage of primary medical staff is an important issue in the management of health human resources, and it is also a problem that all countries in the world need to face together. Since 2009, China has implemented a new series of medical system reforms and the shortage and loss of primary medical staff have been alleviated accordingly. However, China has a large population and it is difficult to distribute health human resources evenly across regions. This study aimed to explore the current status of turnover intention and its relationship with psychological capital, social support, and job burnout, as well as how these factors influence turnover intention of primary medical staff in Anhui province, China.Methods Using structured questionnaires to collect data, including demographic characteristics, turnover intention, psychological capital, social support, and Chinese Maslach Burnout Inventory scale. A total of 1,152 primary medical workers of Anhui were investigated. Data were analyzed by t-test, analysis of variance (ANOVA), Pearson correlation analysis, and multiple linear regression model.Results Total scores of turnover intention, psychological capital, social support, and job burnout of subjects were 14.15 ± 4.35, 100.09 ± 15.98, 64.93 ± 13.23 and 41.07 ± 9.437, respectively. Multiple linear regression showed the related factors of turnover intention were age, job position, work unit, and scores of job burnout. Pearson correlation showed psychological capital and social support were negatively correlated with turnover intention, while the score of job burnout was positively correlated with turnover intention.Conclusion The improvement of psychological capital and social support and the reduction of job burnout may play an important role in reducing turnover intention of primary medical staff. Primary medical managers should strengthen the humanistic care for primary medical staff, optimize the incentive mechanism, and improve internal management of medical institutions for stability.

scholarly journals Current Status and Related Factors of Turnover Intention of Primary Medical Staff in Anhui Province, China: A Cross-Sectional Study

2020 ◽  
Author(s):  
Guimei Chen ◽  
Lingzhi Sang ◽  
Jian Rong ◽  
Huosheng Yan ◽  
Hongzhang Liu ◽  
...  
Keyword(s):  
Social Support ◽  
Linear Regression ◽  
Turnover Intention ◽  
Medical Staff ◽  
Psychological Capital ◽  
Pearson Correlation ◽  
Job Burnout ◽  
Current Status ◽  
Capital Social ◽  
Related Factors

Abstract Background This study aimed to explore the current status of turnover intention and its relationship with psychological capital, social support, and job burnout, as well as how these factors influence turnover intention of primary medical staff in Anhui province, China.Methods We used structured questionnaires to collect data, including demographic characteristics, turnover intention, psychological capital, social support, and Chinese Maslach Burnout Inventory scale. A total of 1,152 primary medical workers of Anhui were investigated. Data were analyzed by t-test, analysis of variance (ANOVA), Pearson correlation analysis, and multiple linear regression model.Results Total scores of turnover intention, psychological capital, social support, and job burnout of subjects were 14.15 ± 4.35, 100.09 ± 15.98, 64.93 ± 13.23 and 41.07 ± 9.437, respectively. Multiple linear regression showed the related factors of turnover intention were age, job position, work unit, and scores of job burnout. Pearson correlation showed psychological capital and social support were negatively correlated with turnover intention, while the score of job burnout was positively correlated with turnover intention.Conclusion The improvement of psychological capital and social support and the reduction of job burnout may play an important role in reducing turnover intention of primary medical staff. Primary medical managers should strengthen the humanistic care for primary medical staff, optimize the incentive mechanism, and improve internal management of medical institutions for stability.

scholarly journals Investigating the Relationship between Emotional Intelligence and Social Support with Burnout in Nurses in Intensive Care Units

2020 ◽  
Author(s):  
Sadegh Safa'i Kochaksaraei ◽  
Mohammad Ali Heidari Gorgji ◽  
Tahere Yaghoobi ◽  
Jamshid Yazdani Cherati ◽  
Hedayat Jafari
Keyword(s):  
Social Support ◽  
Emotional Intelligence ◽  
Intensive Care ◽  
Intensive Care Units ◽  
Emotional Exhaustion ◽  
Pearson Correlation ◽  
Individual Performance ◽  
Job Burnout ◽  
The Relationship

Background and purpose: Since job burnout affects the patientschr('39') quality of care, it is useful to identify more effective factors in improving the quality of services. The aim of this study was to investigate the relationship between emotional intelligence and social support with job burnout among nurses. Materials and Methods: This was a descriptive and cross-sectional study conducted in the winter of 2018. The research population included 214 nurses of intensive care units in the medical and educational center of Mazandaran University of Medical Sciences by census sampling method. Data were gathered using Bradbury and Graveschr('39') social intelligence, Philips et al.’s social support, and Maslach and Jackson’s burnout questionnaires. For analyzing the research hypotheses, Pearson correlation, linear regression, and Sobel test were used.   Findings: Two of the nurses exhibited low emotional intelligence (%0.93), while two of them had average (%0.93) and 210 had high emotional intelligence (%98.13). 18.22% had low burnout, 73.36% had average and 8.41% had high burnout rate. The correlation between emotional intelligence with social support was 0.125, and the probability was greater than 0.05. The correlation between emotional exhaustion and perceived social support, personality deprivation, individual performance, and job burnout were found to be 0.012, 0.07, -0.045, and 0.015, respectively; whereas probability values for all of these relationships were more than 0.05. The correlation between emotional intelligence and emotional exhaustion, personality deprivation, individual function, and burnout were -0.263, -0.125, -0.313, and -0.335, respectively. The probability values except for the personchr('39')s depersonalization variable, for other relationships, were also less than 0.05, and the relationship was documented to be significant. Conclusion: There was a significant and inverse relationship between emotional intelligence and job burnout, but there was found not a significant relationship between social support with job burnout, and emotional intelligence with social support.

scholarly journals Impact of Occupational Stress on Job Burnout with the Moderating Role of Psychological Capital and Social Support.

2021 ◽  
Author(s):  
Aleena Shah ◽  
Saba Munir ◽  
Muhammad Zaheer
Keyword(s):  
Social Support ◽  
Family Support ◽  
Occupational Stress ◽  
Psychological Capital ◽  
Health Workers ◽  
Job Burnout ◽  
Medical Field ◽  
The Relationship ◽  
Moderating Role

The medical field is quite challenging as employees have to work day and night under extreme pressure and long and irregular working hours. This work pressure and exhaustion lead to occupational stress. Occupational stress, when unaddressed, leads to burnout which severely affects the physical and mental health of females in the medical field. This study investigates the relationship between occupational stress and job burnout on a sample of female medical staff working in the public health sector with the moderating role of psychological capital and social support between the relationship of occupational stress and job burnout. The research comprises a sample of 250 female medical employees that are working in public hospitals of the twin cities of Pakistan Results show that occupational stress causes job burnout, and psychological capital moderates the relation between occupational stress and job burnout. The three dimensions of psychological capital, namely, self-efficacy, resilience, and Hope, moderate the relation while optimism does not moderate the relationship. Results also show that family support acts as a moderator between stress and burnout, but supervisory support does not moderate the relationship. This study highlights that coping strategies help medical health workers in dealing with stress and burnout. In addition, family support plays an essential role in minimizing the stress of female health workers. Therefore, the administration of hospitals should arrange training to enhance the psychological capital of their health workers to keep them stress-free and ultimately efficient in their work.

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