Evaluating agreement between medical record diagnoses and independent evaluator diagnoses in a community-based effectiveness study

评估社区疗效研究中医疗记录诊断与独立评估者诊断的一致性

阅读:1

Abstract

BACKGROUND: Youth anxiety disorders are prevalent but undertreated. Poor diagnostic agreement between clinicians and researchers may contribute to misdiagnosis and mistreatment. However, few studies of diagnostic agreement focus specifically on anxiety disorders. OBJECTIVE: The current study evaluates diagnostic agreement between community clinicians and independent evaluators (IE) associated with a research study. METHOD: IEs administered the Anxiety Disorders Interview Schedule for DSM-5, Child Version, Child and Parent Forms to youth participating in a randomized controlled trial. Diagnostic agreement was assessed using Cohen's kappas. Youth (N=103) were about 14.3 years old (SD=1.6), largely cis-gender female (66%, n=68), heterosexual (57.3%, n=59), Hispanic/Latinx (53.4%, n=55), and White (53.4%, n=55). RESULTS: IEs assigned significantly more diagnoses than community clinicians (t(99)=-12.738, d=1.66, p<.001). Individual diagnoses were collapsed into diagnostic clusters: anxiety, depression, trauma and stressor, obsessive-compulsive, and behavioral disorders. There was no agreement for anxiety, trauma and stressor, obsessive-compulsive clusters (ks<0.20). The depression cluster showed minimal agreement (k=0.28, p<.001), and behavioral disorders showed weak agreement (k=0.49, p<.001). There was no agreement for four individual anxiety disorder diagnoses (ks<0.20) except for panic disorder, which had minimal agreement (k=.32, p<.001). Four additional anxiety disorder diagnoses could not be analyzed due to no diagnoses in one or both settings. DISCUSSION: This study shows diagnostic agreement is poor between clinicians and researchers, especially for anxiety disorders. Findings suggest that semi-structured interviews can detect diagnoses that are being missed by clinicians. Future work should seek to identify and address barriers to implementation of evidenced-based assessments in community settings.

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。