医生和护士之间的心理健康差异:使用随机森林算法分析职业压力和工作环境适应性的影响
Mengjie Lu1, Xiyang Li1, Keyu Song1
1School of Public Health, Shanghai Jiao Tong University School of Medicine, 227 South Chongqing Rd., Shanghai 200025, China.
Journal of affective disorders
|January 14, 2024
概括
职业倦怠和工作环境适合性在中国显著影响医生和护士的心理健康. 机器学习发现了这些决定因素的关键差异,为医疗保健专业人员提供了有针对性的干预措施.
科学领域:
- 职业健康 职业健康 职业健康
- 心理健康研究 心理健康研究
- 医疗保健专业人员 医疗保健专业人员
背景情况:
- 由于职业压力和工作环境健康,医生和护士的心理健康差异尚未得到充分理解.
- 这项研究调查了中国医生和护士心理健康的关键决定因素.
研究的目的:
- 识别和排名医生和护士心理健康的主要决定因素.
- 为了比较医生和护士之间这些决定因素对心理健康的影响的差异.
主要方法:
- 一项针对9964名医疗保健工作者 (包括医生和护士) 的大型横截面调查.
- 使用了自我评价焦虑量表,CES-D量表,马斯拉赫燃烧 inventory-General调查,和人-环境适合.
- 采用机器学习算法 (随机森林) 进行变量选择以识别和排名决定因素.
主要成果:
- 医生的焦虑和抑郁症的患病率为31.0%和53.3%,护士的患病率为30.8%和47.9%.
- 对于患有焦虑症的医生来说,愤世嫉俗,情绪疲和工作环境不适合 (组织,工作,团队,主管) 是关键决定因素.
- 对于护士来说,情绪疲显著影响了抑郁障碍,而不是愤世嫉俗;监督者健身没有显著影响焦虑.
结论:
- 职业倦怠和工作环境的兼容性是影响医生和护士精神健康障碍的主要因素.
- 心理健康障碍的关键决定因素在医生和护士之间略有差异.
- 机器学习有效地识别了这些决定因素,帮助制定医疗保健专业人员福祉政策.
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