房琳琳, 崔楠, 安佰悦, 丁磊, 陈祥华. 中国二、三级公立医院医务人员职业倦怠现状:基于中文文献的分析[J]. 职业卫生与应急救援, 2024, 42(3): 379-384. DOI: 10.16369/j.oher.issn.1007-1326.2024.03.017
引用本文: 房琳琳, 崔楠, 安佰悦, 丁磊, 陈祥华. 中国二、三级公立医院医务人员职业倦怠现状:基于中文文献的分析[J]. 职业卫生与应急救援, 2024, 42(3): 379-384. DOI: 10.16369/j.oher.issn.1007-1326.2024.03.017
FANG Linlin, CUI Nan, AN Baiyue, DING Lei, CHEN Xianghua. Job burnout of medical staff in second and third class public hospitals in China: an analysis based on Chinese literature[J]. Occupational Health and Emergency Rescue, 2024, 42(3): 379-384. DOI: 10.16369/j.oher.issn.1007-1326.2024.03.017
Citation: FANG Linlin, CUI Nan, AN Baiyue, DING Lei, CHEN Xianghua. Job burnout of medical staff in second and third class public hospitals in China: an analysis based on Chinese literature[J]. Occupational Health and Emergency Rescue, 2024, 42(3): 379-384. DOI: 10.16369/j.oher.issn.1007-1326.2024.03.017

中国二、三级公立医院医务人员职业倦怠现状:基于中文文献的分析

Job burnout of medical staff in second and third class public hospitals in China: an analysis based on Chinese literature

  • 摘要:
    目的 了解中国医务人员职业倦怠情况及影响因素的研究现状,总结当前研究的成绩与不足,为未来医务人员职业倦怠的管理和干预提供思路。
    方法 在知网与万方数据库中根据关键词检索2002—2022年的相关文献,使用Excel软件建立文献评阅库,提取期刊信息、作者信息、职业倦怠的测评量表、影响因素等内容,梳理归纳目前医务人员职业倦怠的影响因素,并绘制饱和曲线;提取采用职业倦怠量表(Maslach Burnout Inventory,MBI)的文献,分析医务人员情绪衰竭、去人格化、成就感降低3个维度的得分情况。
    结果 检索到205篇相关文献,筛选后纳入76篇文献,均来自《中文核心期刊要目总览》、CSSCI(Chinese Social Sciences Citation Index)或CSCD(Chinese Science Citation Database)期刊。2005之后文献发表数量总体呈现增加的态势。有18篇采用了职业倦怠量表的服务业版本(Maslach Burnout Inventor-Human Service Survy,MBI-HSS),总样本量为8 327,情绪衰竭维度得分为(23.33 ± 10.41)分,去人格化维度得分为(7.98 ± 6.50)分,成就感低落维度得分为(27.29 ± 11.01)分。东部地区医务人员情绪衰竭、去人格化程度最高,但成就感低落程度最低,而西部地区虽情绪衰竭、去人格化程度最低,但成就感低落程度最高(P<0.05)。2010后医务人员情绪衰竭、去人格化程度增高,但成就感低落程度降低(P<0.01)。职业倦怠的影响因素广泛分布在个体因素、组织因素、社会因素三大类。
    结论 中国医务人员情绪衰竭与去人格化处于中度倦怠水平,成就感低落处于高度倦怠水平。目前对医务人员职业倦怠影响因素的探索日渐丰富,但以横断面研究为主,未来可对不同类别医务人员进行更具体的研究。

     

    Abstract:
    Objective To understand the current state of research on occupational burnout among medical staff in China and to summarize the achievements and shortcomings of current studies, providing insights for future management and intervention of medical staff burnout.
    Methods A literature review was conducted using the CNKI and Wanfang databases for articles published between 2002 and 2022, based on relevant keywords. An Excel database was established to extract information from the literature, including journal information, author information, burnout assessment scales, and influencing factors. The influencing factors of medical staff burnout were organized and summarized, and a saturation curve was drawn. Articles utilizing the Maslach Burnout Inventory (MBI) were extracted to analyze scores across three dimensions of burnout: emotional exhaustion, depersonalization, and reduced personal accomplishment.
    Results A total of 205 articles were retrieved, with 76 included in the final analysis, all from core journals listed by Peking University, the Chinese Social Sciences Citation Index (CSSCI), or the Chinese Science Citation Database (CSCD). The number of publications has generally increased since 2005. Totally 18 articles used the service industry version of the burnout scale (Maslach Burnout Inventory-Human Service Survey, MBI-HSS), with a total sample size of 8 327. The scores for emotional exhaustion were (23.33 ±10.41) points, for depersonalization (7.98 ± 6.50) points, and for reduced personal accomplishment (27.29 ± 11.01) points. Medical staff in the eastern region showed the highest levels of emotional exhaustion and depersonalization but the lowest levels of reduced personal accomplishment. While those in the western region had the lowest levels of emotional exhaustion and depersonalization but the highest levels of reduced personal accomplishment (P < 0.05). Since 2010, the degree of emotional exhaustion and depersonalization among medical staff has increased, but there has been a decrease in reduced personal accomplishment (P < 0.01). The influencing factors for burnout were widely distributed across individual, organizational, and social categories.
    Conclusions Medical staff in China experienced moderate levels of emotional exhaustion and depersonalization and high levels of reduced personal accomplishment. There are more and more studies on influencing factors of burnout among medical staff, but they are mainly cross-sectional studies. Future research could focus on more specific studies of different categories of medical personnel.

     

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