一个自动语音分析程序,用于数字评估压力负担和社会心理健康
Amanda M Y Chu1, Benson S Y Lam2, Jenny T Y Tsang3
1Department of Social Sciences and Policy Studies, The Education University of Hong Kong, Tai Po, Hong Kong, China.
Npj mental health research
|April 12, 2024
概括
经历压力的家庭照顾者可以使用自动语音分析程序 (ASAP) 识别. 这个数字健康工具提供了一个具有成本效益的初步评估,以便及时进行干预和支持.
科学领域:
- 数字健康数字健康
- 心理社会健康 心理健康
- 语音分析 语音分析
背景情况:
- 家庭护理给人带来了巨大的压力,增加了对心理社会健康问题的脆弱性.
- 早期诊断和干预对于预防疾病进展和护理人员残疾至关重要.
- 传统的心理社会健康评估可能耗时且资源密集.
研究的目的:
- 开发和评估一个自动语音分析程序 (ASAP),用于检测家庭护理人员的社会心理健康问题.
- 评估使用语音分析来识别广东语家庭护理人员的压力水平的可行性.
- 探索数字健康技术在支持心理社会健康评估方面的潜力.
主要方法:
- 开发一个针对心理社会健康检测的自动语音分析程序 (ASAP).
- 招募100名广东语家庭护理人员参加该研究.
- 使用ASAP分析语音模式,以识别低或高压力负担水平.
主要成果:
- ASAP在识别有不同压力负担水平的家庭照顾者方面显示了72%的准确率.
- 该研究表明,数字健康技术可以有效地协助心理社会健康评估.
- 与传统方法相比,ASAP提供了具有成本效益和立即的初始查.
结论:
- 自动语音分析程序对家庭护理人员的心理社会健康问题的早期检测充满希望.
- 像ASAP这样的数字健康工具可以促进及时转介给医疗保健专业人员进行必要的干预.
- ASAP提供了一个可扩展和可访问的解决方案,用于风险人群的初始心理社会健康查.
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