Prevalence and influence factors of job burnout among hospital staffs-a cross-sectional study
10.3760/cma.j.cn121094-20200107-00019
- VernacularTitle:医务人员职业倦怠及其影响因素的横断面研究
- Author:
Huifen DAI
1
;
Sangni QIAN
;
Fang WEI
;
Zhenzhen JIANG
;
Shaohua ZHANG
;
Kun CHEN
;
Mengling TANG
Author Information
1. 322000 金华，浙江大学医学院附属第四医院科教部
- Keywords:
Medical staff;
Burnout;
Social support;
Affecting factor
- From:
Chinese Journal of Industrial Hygiene and Occupational Diseases
2020;38(8):594-597
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the influencing factors of job burnout of medical staff and provide reference for the formulation of intervention measures.Methods:From November to December, 2018, a questionnaire survey was conducted among medical staff in a general hospital by using the research design of the current situation survey. A total of 1193 questionnaires were distributed and 939 questionnaires were returned, with a recovery rate of 78.7%, including 891 valid questionnaires and an effective recovery rate of 94.9%. Social support rating scale (SSRs) was used to evaluate social support, and Maslach Burnout Scale (MBI-GS) was used to evaluate job burnout. Single factor analysis was performed by chi square test and Fisher exact probability method. To explore the influencing factors of job burnout by using disordered multi classification logistic.Results:The average age was (27.47 ± 4.22) years old, female accounted for 71.5% (637/891) . The total physical examination rate of job burnout was 46.6%. The scores of emotional exhaustion, cynicism and decreased sense of achievement were (10.10±3.75) , (6.14±3.43) , (17.91±4.13) respectively. Multiple logistic regression analysis showed that, compared with the non detected job burnout, the young, working for 1-3 years, average sleep ≤6 hours, and poor social support were more likely to have mild job burnout ( OR=0.91, 0.40, 2.25, 2.38, P<0.05) ; female, high night shift frequency in the past year, average sleep ≤6 h. Those with poor social support were more likely to have moderate to severe job burnout ( OR=1.59, 2.94, 4.01, 2.40, 3.66, P<0.05) . Conclusion:Corresponding measures should be taken to reduce job burnout and improve work efficiency.
