Improving the Accuracy and Reliability of Ratings on the Hamilton Depression Rating Scale via a Video-Based Training Program

通过视频培训计划提高汉密尔顿抑郁量表评分的准确性和可靠性

阅读:1

Abstract

INTRODUCTION: The clinician-rated 17-item Hamilton Depression Rating Scale (HAM-D17) allows for a systematic severity assessment of depressive symptoms. Applying the HAM-D17 in clinical practice requires that staff members' ratings on the HAM-D17 are accurate and reliable. Here, we aimed to investigate whether such accuracy and reliability can be achieved through a brief video-based training program. METHODS: One-hundred-and-ten psychiatric hospital staff members (psychologists, medical doctors, nurses, health care workers, physio-/occupational therapists, and social workers) performed baseline HAM-D17 ratings after watching a videotaped patient interview. Subsequently, a theoretical introduction video was displayed, followed by five successive videotaped patient interviews. After watching each interview, individual ratings were conducted before a video providing the gold standard rating was displayed. Accuracy was estimated by calculating the proportion of participants whose ratings did not display a deviation from the gold standard of > 1 point on all individual HAM-D17 items and > 6 points on the HAM-D17 total score. Reliability was calculated using Gwet's agreement coefficient (AC1). RESULTS: At baseline and after the sixth rating session, 43% versus 70% of the staff members, respectively, rated within the acceptable deviation of the gold standard (p < 0.001). At the HAM-D17 item level, baseline reliability indices were highest for item 6 (Late Insomnia) and lowest for item 14 (Sexual Interest) (AC1 = 0.97 vs. 0.47), but both improved following training (AC1 = 0.99 vs. 0.84 at the sixth rating session). CONCLUSIONS: Most staff members conducted accurate and reliable HAM-D17 ratings after participating in a brief video-based training program.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。