黄丽, 戴俊明, 张浩, 程文红, 傅华. 医务人员职业倦怠与健康生产力受损的关联[J]. 环境与职业医学, 2013, 30(5): 321-327.
引用本文: 黄丽, 戴俊明, 张浩, 程文红, 傅华. 医务人员职业倦怠与健康生产力受损的关联[J]. 环境与职业医学, 2013, 30(5): 321-327.
HUANG Li , DAI Jun-ming , ZHANG Hao , CHENG Wen-hong , FU Hua . Association between Job Burnout and Health Related Productivity Loss among Medical Staff[J]. Journal of Environmental and Occupational Medicine, 2013, 30(5): 321-327.
Citation: HUANG Li , DAI Jun-ming , ZHANG Hao , CHENG Wen-hong , FU Hua . Association between Job Burnout and Health Related Productivity Loss among Medical Staff[J]. Journal of Environmental and Occupational Medicine, 2013, 30(5): 321-327.

医务人员职业倦怠与健康生产力受损的关联

Association between Job Burnout and Health Related Productivity Loss among Medical Staff

  • 摘要: 目的 分析医务人员职业倦怠与隐性缺勤所致健康生产力受损之间的关联关系。

    方法 采用分层抽样方法, 选择上海医务工会下辖的8 家三级医院职工为调查对象进行调查。采用通用职业倦怠问卷(MBI-GS)中文版进行医务人员职业倦怠的评估, 采用斯坦福隐性缺勤问卷(SPS-6)中文版评估隐性缺勤所致健康生产力受损的状况。

    结果 在2 313 份给出职业倦怠完整量表信息的有效问卷中, 有74.2%的调查对象表现出不同程度的职业倦怠, 医生和护士的职业倦怠率分别为73.2%和84.0%;隐性缺勤所致健康生产力受损平均得分为15.24& #177;3.89。不同年龄、岗位、工龄、职称、编制、倒班、情感耗竭、人格解体、个人成就感及职业倦怠间, 隐性缺勤所致健康生产力受损程度不同, 差异均有统计学意义(P<0.05);但不同性别、学历间隐性缺勤所致健康生产力受损差异则无统计学意义(P>0.05)。在调整了社会经济水平和工作性质等变量后, logistic 回归分析显示职业倦怠与隐性缺勤所致健康生产力受损的关联关系依然存在, 说明这种关联不会因社会经济地位以及工作性质的改变而不同。

    结论 医务人员的职业倦怠与隐性缺勤所致健康生产力受损间可能存在密切关联, 即随着职业倦怠程度的增加, 隐性缺勤所致健康生产力受损的程度越大。

     

    Abstract: Objective To explore the association between job burnout and presenteeism induced health related productivity loss among medical staff.

    Methods A cross-sectional survey was conducted among medical staff who were stratified selected from 8 tertiary hospitals registered to the medical union of Shanghai Municipal Health Bureau. Maslach Burnout Inventory-General Survey(MBI-GS)and Stanford Presenteeism Scale(SPS-6)were used to assess job burnout and presenteeism induced health related productivity loss, respectively.

    Results Of the 2 313 valid MBI-GS questionnaires that provided complete information about job burnout, 74.2% respondents were assessed as suffering from job burnout, and the rate was 73.2% for the doctors and 84.0% for the nurses. The mean score of SPS-6 was 15.24& #177;3.89. Significant differences in presenteeism induced health related productivity loss were found among medical staff categorized by age, occupations, working years, professional titles, staff establishment, shift work, emotional exhaustion, depersonalization, personal accomplishment, and job burnout(P<0.05); but the differences were not observed among different gender and education groups(P>0.05). The results of logistic regression analysis showed an association between job burnout and presenteeism induced health related productivity loss after adjusted by socioeconomic status and job category, which indicated that the association did not vary by socioeconomic status and job category.

    Conclusion There may exist a strong association between job burnout and presentieem induced health related productivity loss among medical staff. With the increase of job burnout, more health related productivity loss induced by presenteeism occur.

     

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