用于检测医疗保健专业人员的倦怠和幸福感的可穿戴技术:范围审查
Milica Barac1, Samantha Scaletty1, Leslie C Hassett2
1Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, United States.
Journal of medical Internet research
|June 25, 2024
概括
可穿戴技术显示出预测医疗保健专业人员倦怠的潜力,但目前的研究存在局限性. 需要更多的数据标准化和遵守策略来准确预测倦怠.
科学领域:
- 数字健康数字健康
- 职业健康 职业健康 职业健康
- 生物医学工程 生物医学工程
背景情况:
- 职业倦怠影响到60%的美国医疗保健专业人员 (HCP).
- 可穿戴技术提供了一种新的方法,可以使用生理标记来预测倦怠.
- 现有的研究还没有充分探索可穿戴设备在医疗人员中预测倦怠的潜力.
研究的目的:
- 确定用于医务人员预测倦怠的生理生物标志物.
- 为了确定目前使用可穿戴技术预测倦怠的空白.
- 审查现有的关于可穿戴技术和医务人员福祉的文献.
主要方法:
- 在多个数据库 (MEDLINE,Embase,PsycInfo等) 进行了全面的文献搜索. 在2022年6月7日.
- 包括的研究集中在使用可穿戴设备的医疗保健工作者 (医学学生,住院医生,医生,护士) 的焦虑,倦怠,压力和抑郁.
- 偏见的评估是使用纽卡斯尔和太华队列研究质量评估表格进行的.
主要成果:
- 包括10项研究,主要是使用手腕穿戴生物传感器的观察性队列研究.
- 没有生理学测量可靠地预测了倦怠或焦虑.
- 步数和卧床时间与抑郁症状相关;心率和变化与急性压力相关.
结论:
- 可穿戴设备显示出数字健康评估和倦怠预测的前景.
- 局限性包括长期数据不足,样本规模小,缺乏数据整合.
- 未来的研究必须解决数据标准化,遵守和包容性,以有效预测倦怠.
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