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.
目的： 探索医务人员职业倦怠的影响因素，为干预措施的制定提供参考依据。 方法： 2018年11~12月，采用现况调查的研究设计，对某综合性医院医务人员进行问卷调查，共发放调查问卷1193份，回收问卷939份，问卷回收率78.7%，其中有效问卷891份，有效回收率为94.9%。用《社会支持评定量表》（SSRS）评估社会支持程度，用《Maslach职业倦怠量表》（MBI-GS）评估职业倦怠情况，单因素分析用χ(2)检验和Fisher确切概率法，用无序多分类logistic探究职业倦怠的影响因素。 结果： 平均年龄为（27.47±4.22）岁，女性占71.5%（637/891）。职业倦怠总体检出率为46.6%，情绪耗竭、玩世不恭、成就感降低的得分分别为（10.10±3.75）、（6.14±3.43）、（17.91±4.13）分。多分类logistic回归分析显示，以未检出职业倦怠为对照，年龄小、工作1~3年、平均睡眠≤6 h、社会支持程度差者更易出现轻度职业倦怠（OR=0.91、0.40、2.25、2.38，P<0.05）；女性、过去一年值夜班频率高、平均睡眠≤6 h、社会支持程度差者更易出现中重度职业倦怠（OR=1.59、2.94、4.01、2.40、3.66，P<0.05）。 结论： 应针对不同因素制定相应的措施来降低职业倦怠状态，提高工作效率。.
Keywords: Affecting factor; Burnout; Medical staff; Social support.