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精神分裂症患者社会功能和就业的数字表型化:来自国际样本的试点数据
Erlend Lane1, Lucy Gray1, David Kimhy2,3
1Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Psychiatry and clinical neurosciences
|January 22, 2025
概括
使用智能手机数据的数字表型测试在测量精神分裂症患者的社会功能方面表现有前途. 这项技术有可能作为社会功能等级分数的代理,特别是就业和社会参与.
科学领域:
- 精神病学和行为科学
- 数字健康数字健康
- 计算社会科学 计算社会科学
背景情况:
- 精神分裂症显著损害了社会功能,这是一个需要精确测量的关键结果.
- 现有的社会功能尺度可能无法充分捕捉这些障碍的动态性质.
- 数字表型化提供了一种新的方法,使用智能手机数据进行生态有效的评估.
研究的目的:
- 调查数字表型 (GPS,加速度计,屏幕激活) 作为社会功能代理的可行性.
- 将数字数据的预测性能与传统的社会功能表 (SFS) 评分进行比较.
主要方法:
- 在一年内在62名精神分裂症患者中使用普通最小平方线性回归.
- 比较数字信号 (主动/被动) 和之前的SFS得分,以预测当前的SFS和子域值.
- 使用智能手机和临床评估数据.
主要成果:
- 数字数据有效地预测了社会功能子域的得分,特别是就业 (R2=0.746) 和社会参与 (R2=0.710).
- 模型的性能在各个子域中各不相同,就业和社会参与显示出最强的预测能力.
- 根平均平方误差 (RMSE) 评分表明不同子尺度的预测准确度不同.
结论:
- 数字表型学表明,数字表型学具有潜力,可以作为精神分裂症患者特定社会功能措施的代理.
- 需要进一步的研究来确定数字表型的可靠性和有效性,以评估社会功能.
- 确定哪些社会功能子域最好用数字方法捕获,是未来研究的关键领域.
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