通过聊天机器人探索护理实习生的心理健康和压力:单组试点研究
Ya-Wen Kuo1, Wen-Li Hou, Susan Fetzer
1Author Affiliations: Professor (Kuo), Undergraduate Nursing Student (Lin), Postdoctoral Research Fellow (Hsu), Assistant Professor (Liu), Department of Nursing, Chang Gung University of Science and Technology, Chiayi Campus, Puzi, Chiayi County, Taiwan; Associate Professor (Hou), Department of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan; Professor (Fetzer), Department of Nursing, College of Health and Human Services, University of New Hampshire, Durham, New Hampshire; Professor (Kuo), Attending Neurologist (Lee), Department of Neurology, Chang Gung Memorial Hospital, Chiayi Branch, Chiayi, Taiwan; Physician and Associate Professor (Lee), Department of Medicine, Chang Gung University, Taoyuan, Taiwan.
对护理实习生进行的聊天机器人干预显著改善了他们的幸福感,并减少了自杀念头. 肖灵助理聊天机器人 (X-LAC) 在临床培训中显示出早期危险检测的前景.
科学领域:
- 数字心理健康干预数字心理健康干预
- 医疗保健教育中的人工智能
- 护理学生的福祉
背景情况:
- 护理实习生经常经历严重的临床痛苦.
- 基于聊天机器人的心理健康工具提供了潜在的解决方案.
- 这些工具的可行性和教育影响的证据有限.
研究的目的:
- 评估小灵助理聊天机器人 (X-LAC) 的可行性和有效性.
- 为了监测压力,并检测早期的心理应急信号在护理实习生.
- 评估X-LAC在临床实习期间支持心理健康方面的作用.
主要方法:
- 一项为期4周的单组研究,涉及61名护理实习生.
- 使用X-LAC进行日常聊天机器人支持和关键字触发的警报.
- 使用干预前后措施评估心理健康和压力水平.
主要成果:
- 幸福度得分显著改善 (1220) 和自杀念头减少 (104).
- 聊天机器人每100条消息中识别出16个高风险表达式,其中常见的主题包括"太累"和"承受压力".
- 60.6%的参与者报告说他们在实习期间经历了痛苦.
结论:
- 聊天机器人支持显示了提高临床培训环境的潜力.
- X-LAC可以有效地减轻压力,并促进早期发现心理困扰.
- 建议将AI整合到风险预测中,在关键情况下必须有人类监督.
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