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基于互联网的囤积症评估:基于互联网的囤积症评定量表、自我报告的信度和预测效度。

Internet-based hoarding assessment: The reliability and predictive validity of the internet-based Hoarding Rating Scale, Self-Report.

机构信息

Department of Epidemiology, University of Florida, Gainesville, FL, United States.

Department of Psychiatry, University of Florida, Gainesville, FL, United States.

出版信息

Psychiatry Res. 2020 Dec;294:113505. doi: 10.1016/j.psychres.2020.113505. Epub 2020 Oct 11.

Abstract

The Hoarding Rating Scale, Self Report (HRS-SR) is a 5-item assessment developed to ascertain the presence and severity of hoarding symptoms. This study aimed to evaluate the validity of an online adaptation of the HRS-SR in a remote, unsupervised internet sample of 23,214 members of the Brain Health Registry (BHR), an online research registry that evaluates and longitudinally monitors cognition, medical and psychiatric health status. Convergent validity was assessed among a sub-sample of 1,183 participants who completed additional, remote measures of self-reported hoarding behaviors. Structured clinical interviews conducted in-clinic and via video conferencing tools were conducted among 230 BHR participants; ROC curves were plotted to assess the diagnostic performance of the internet-based HRS-SR using best estimate hoarding disorder (HD) diagnoses as the gold standard. The area under the curve indicated near-perfect model accuracy, and was confirmed with 10-fold cross validation. Sensitivity and specificity for distinguishing clinically relevant hoarding were optimized using an HRS-SR total score cut-off of 5. Longitudinal analyses indicated stability of HRS-SR scores over time. Findings indicate that the internet-based HRS-SR is a useful and valid assessment of hoarding symptoms, though additional research using samples with more diverse hoarding behavior is needed to validate optimal cut-off values.

摘要

囤积症严重程度自评量表(HRS-SR)是一个由 5 个项目组成的评估工具,旨在确定囤积症状的存在和严重程度。本研究旨在评估 HRS-SR 的在线改编版本在 Brain Health Registry(BHR)的远程、非监督互联网样本中的有效性,BHR 是一个在线研究注册中心,用于评估和纵向监测认知、医疗和精神健康状况。在完成额外的远程自我报告囤积行为测量的 1183 名参与者的子样本中评估了收敛效度。对 230 名 BHR 参与者进行了门诊和视频会议工具的结构化临床访谈;绘制 ROC 曲线以评估基于互联网的 HRS-SR 的诊断性能,最佳估计的囤积障碍(HD)诊断作为金标准。曲线下面积表明模型准确性接近完美,并通过 10 倍交叉验证得到确认。使用 HRS-SR 总分截断值 5 来区分临床相关囤积的敏感性和特异性得到了优化。纵向分析表明 HRS-SR 评分随时间的稳定性。研究结果表明,基于互联网的 HRS-SR 是一种有用且有效的囤积症状评估工具,但需要使用具有更多样化囤积行为的样本进行进一步研究,以验证最佳截断值。

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