Volume 45 Issue 11
Nov.  2024
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Rui WANG, Cilin HAN, Yuanqing CAO, Xiaoyan YANG. Multi-level Model Analysis of Factors Influencing Physicians' Job Burnout[J]. Journal of Kunming Medical University, 2024, 45(11): 67-72. doi: 10.12259/j.issn.2095-610X.S20241110
Citation: Rui WANG, Cilin HAN, Yuanqing CAO, Xiaoyan YANG. Multi-level Model Analysis of Factors Influencing Physicians' Job Burnout[J]. Journal of Kunming Medical University, 2024, 45(11): 67-72. doi: 10.12259/j.issn.2095-610X.S20241110

Multi-level Model Analysis of Factors Influencing Physicians' Job Burnout

doi: 10.12259/j.issn.2095-610X.S20241110
  • Received Date: 2024-04-16
    Available Online: 2024-11-07
  • Publish Date: 2024-11-25
  •   Objective  To analyze the factors influencing physician job burnout.   Methods  A multistage stratified random sampling method was adopted to select a total of 1190 physicians from 10 public general hospitals above the second level in 5 regions of Yunnan Province. Self-filled questionnaire and MBI-GS were used for the investigation, and a multi-level regression model was used to fit the relationship between the physician burnout score and the related influencing factors.   Results   The incidence of physician burnout in the investigated area was 45.3%.The scores of the emotional exhaustion, work attitude and sense of achievement were lower than the norm. The two-level model analysis found that the physician job burnout scores were clustered at the department level, and the intra-group correlation coefficient (ICC = 0.1181). The influencing factors included working hours per week, working pressure, occupational satisfaction, sleep, health status and leisure time.   Conclusion   Physician job burnout is affected by many factors and should be intervened. Because of the aggregation of physician burnout at the department level, it is also of practical significance to eliminate adverse factors from within the department.
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