了解和减轻压力反应的数字干预:一个队列研究的过程和内容评估协议
Josh Martin1, Alice Rueda1, Gyu Hee Lee1
1Interventional Psychiatry Program, St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
这项研究使用虚拟现实 (VR) 和可穿戴技术来减少医护人员的压力和道德困扰. 这些发现可能有助于预测风险,并评估道德伤害的治疗方法.
科学领域:
- 医疗保健工作者的福祉
- 数字化表型化是指数字化表型化.
- 虚拟现实干预措施 虚拟现实干预
背景情况:
- 由于人力资源短缺,医疗保健工作者面临越来越多的压力和道德困境,影响护理质量.
- 目前,对于道德困扰和道德伤害,存在有限的干预措施.
研究的目的:
- 使用虚拟现实 (VR) 和教学干预来表征和减少压力和道德困扰.
- 通过可穿戴,生理和自我报告的数据确定影响心理健康结果的因素.
- 开发个人数字现象特征资料,用于个人压力和道德困境的表征.
主要方法:
- 单一队列,前后测试研究,对100名护理专业人员进行.
- 利用VR模拟进行道德复杂的决策,随后进行教育干预.
- 在VR期间收集的生理 (心电图,EDA,囊造影,呼吸) 和自我报告的数据,以及12周的可穿戴数据.
主要成果:
- 该研究正在进行中,在2022年获得资金,在2023年4月获得伦理审批.
- 分析将比较干预前后的数据,以评估VR的有效性.
- 机器学习将从多式联运数据中生成数字现象型.
结论:
- 预计VR场景会引起压力和道德困扰,教学干预旨在减轻压力.
- 与可穿戴设备集成的数字现象可以实现实时风险预测和治疗反应评估.
- 这种方法可以扩展到其他高压力职业,如军事和公共安全人员.
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