Psychometric characteristics of the Hospital Anxiety and Depression Scale in stroke survivors of working age before and after inpatient rehabilitation

医院焦虑抑郁量表在工作年龄卒中幸存者住院康复前后的心理测量学特征

阅读:2

Abstract

OBJECTIVE: The aim was to examine the psychometric properties of the Hospital Anxiety and Depression Scale (HADS) in cohorts of working age stroke survivors, before and after inpatient rehabilitation. METHODS: Stroke patients aged 18-66 years registered in the national quality register WebRehab Sweden were included in the study at hospital admission (n = 256), discharge (n = 223), and 1-year follow-up (n = 313). Classical and modern (Rasch) methods were used for psychometric evaluation. RESULTS: The two-factor HADS model measuring anxiety and depression showed better fit than a single factor measuring emotional distress. The instrument's psychometric stability before and after rehabilitation was satisfactory. The anxiety scale showed good psychometric properties, except for item 7, which is not anxiety-specific. Some concerns were observed for the depression items showing weaker discriminant validity, and item 8 performing poorly as a measure of depression. Cronbach's alpha and McDonald's omega coefficients showed satisfactory internal consistency reliability, whereas Rasch person reliability coefficients indicated weaker reliability, especially for the depression scale. Effect size of change between hospital admission and discharge showed a reduction in anxiety and depression symptoms. CONCLUSIONS: HADS showed a stable two-factor structure over the rehabilitation period. Patients' perception of items was not affected by the recovery, allowing relevant comparison of HADS scores between different phases of the rehabilitation process. Measures of responsiveness suggest that HADS is sensitive to capturing improvements in emotional distress following rehabilitation interventions. Overall, despite minor psychometric weaknesses, HADS is a suitable instrument for assessing anxiety and depresssion symptoms in stroke patients aged 18-66 years.

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。