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Rasch analysis of the Hospital Anxiety and Depression Scale (HADS) in patients with major depression

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收录情况: ◇ SCIE ◇ SSCI

机构: [1]Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, People’s Republic of China [2]Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, People’s Republic of China [3]Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, and The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, People’s Republic of China
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关键词: Mental health Major depression HADS Psychometrics Rasch analysis

摘要:
The Hospital Anxiety and Depression Scale (HADS) is a widely used screening tool for depression and anxiety in patients with medical illnesses. This study aimed to explore the psychometric properties of the HADS in screening for patients with major depression using item response theory method. A total of 460 patients with major depression completed the HADS. Rasch analyses were used to examine unidimensionality, item fit, local dependency, reliability, ordering of categories, differential item functioning (DIF) and targeting. The HADS showed a two-dimensional construct. All items fit the Rasch model. Three pairs of items showed minor but inconsiderate local dependency. Both subscales had acceptable reliability. None of the items displayed disordered categories or DIF. All items were well targeted, and participants with high and low levels of distress were less targeted than those with moderate levels of distress. Finally, a conversion table to transform the raw scores into interval measures was generated. The HADS demonstrated adequate psychometric properties in assessing depression and anxiety in patients with major depression. It was more appropriate for assessing moderate than high or low levels of distress. The conversion table can be used for more precise measurement. These results may pave the way for efficient and sensitive methods of analyzing depression symptom response in research and in clinical practice.

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出版当年[2022]版:
大类 | 4 区 心理学
小类 | 4 区 心理学:综合 4 区 心理学
最新[2025]版:
大类 | 4 区 心理学
小类 | 4 区 心理学 4 区 心理学:综合
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出版当年[2021]版:
Q3 PSYCHOLOGY Q3 PSYCHOLOGY, MULTIDISCIPLINARY
最新[2023]版:
Q3 PSYCHOLOGY Q3 PSYCHOLOGY, MULTIDISCIPLINARY

影响因子: 最新[2023版] 最新五年平均 出版当年[2021版] 出版当年五年平均 出版前一年[2020版] 出版后一年[2022版]

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第一作者机构: [1]Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, People’s Republic of China
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通讯机构: [1]Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, People’s Republic of China [*1]Guangdong Mental Health Center, Guangdong Provincial People’s Hospital Huifu Branch, No. 123 Huifu Road West, Guangzhou, 510120, Guangdong, People’s Republic of China
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