Cited by 55Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesPsychometric Methodologies and TestingStroke Rehabilitation and Recovery

Evaluation of the Hospital Anxiety and Depression Scale (HADS) in screening stroke patients for symptoms: Item Response Theory (IRT) analysis

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Ayis, Salma A., Ayerbe, Luis, Ashworth, Mark, DA Wolfe, Charles·2018·Journal of Affective Disorders

Abstract

Background Variations have been reported in the number of underlying constructs and choice of thresholds that determine caseness of anxiety and /or depression using the Hospital Anxiety and Depression scale (HADS). This study examined the properties of each item of HADS as perceived by stroke patients, and assessed the information these items convey about anxiety and depression between 3 months to 5 years after stroke.Methods The study included 1443 stroke patients from the South London Stroke Register (SLSR). The dimensionality of HADS was examined using factor analysis methods, and items' properties up to 5 years after stroke were tested using Item Response Theory (IRT) methods, including graded response models (GRMs).Results The presence of two dimensions of HADS (anxiety and depression) for stroke patients was confirmed. Items that accurately inferred about the severity of anxiety and depression, and offered good discrimination of caseness were identified as "I can laugh and see the funny side of things" (Q4) and "I get sudden feelings of panic" (Q13), discrimination 2.44 (se = 0.26), and 3.34 (se = 0.35), respectively. Items that shared properties, hence replicate inference were: "I get a sort of frightened feeling as if something awful is about to happen" (Q3), "I get a sort of frightened feeling like butterflies in my stomach" (Q6), and "Worrying thoughts go through my mind" (Q9). Item properties were maintained over time.Limitations Approximately 20% of patients were lost to follow up.Conclusion A more concise selection of items based on their properties, would provide a precise approach for screening patients and for an optimal allocation of patients into clinical trials.

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Authors
Ayis, S. A., Ayerbe, L., Ashworth, M., & DA Wolfe, C.
Affiliations
  • King's College London (GB)
  • Queen Mary University of London (GB)
Corresponding author
Ayis, Salma A.
Venue
Journal of Affective Disorders
Publisher
Elsevier BV
Published
2018-03
Volume
228
Pages
33-40
ISSN
0165-0327 (ISSN-L)
OpenAlex
W2769527085
Cited by
55
References
49
Citations by year
2026: 6 · 2025: 2 · 2024: 10 · 2023: 6 · 2022: 12 · 2021: 8 · 2020: 4 · 2019: 6 · 2018: 1
FWCI
3.89
Type
journal article
Language
en
Open access
Locations
  • Journal of Affective Disorders (publishedVersion)
  • PubMed (publishedVersion)
  • Research Portal (King's College London) (submittedVersion, cc-by-nc-nd)
Funders
National Institute for Health Research (RP-PG-0407–10184)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
Keywords
Hospital Anxiety and Depression Scale, stroke, anxiety, depression, screening, item response theory, graded response model, item discrimination, dimensionality, psychometric properties, South London Stroke Register
MeSH terms
Aged, Anxiety, Depression, Depressive Disorder, Factor Analysis, Statistical, Female, Humans, London, Male, Middle Aged, Psychiatric Status Rating Scales, Psychometrics, Registries, Stroke

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