Screening for anxiety and depression in clinical practice: translating scores from World Health Organization-5/Anxiety Symptom Scale-2/Major Depression Inventory-2 to Hospital Anxiety and Depression Scale.

Autor:	Johnsen NF; Analysis and Research, The Danish Heart Foundation, Vognmagergade 7.3, Copenhagen 1120, Denmark., Jensen SN; Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark., Christensen KB; Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark., Pedersen SS; Department of Psychology, University of Southern Denmark, Odense, Denmark.; Department of Cardiology, Odense University Hospital, Odense, Denmark.; Department of Clinical Research, University of Southern Denmark, REHPA, Odense, Denmark., Helmark C; Department of Cardiology, Zealand University Hospital, Roskilde, Denmark., Zwisler AD; Department of Cardiology, Odense University Hospital, Odense, Denmark.; Department of Clinical Research, University of Southern Denmark, REHPA, Odense, Denmark.; The Danish Knowledge Centre for Rehabilitation and Palliative Care, Odense University Hospital, Nyborg, Denmark., Gislason GH; Analysis and Research, The Danish Heart Foundation, Vognmagergade 7.3, Copenhagen 1120, Denmark.; Department of Cardiology, Copenhagen University Hospital Herlev-Gentofte, Hellerup, Denmark.; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
Jazyk:	angličtina
Zdroj:	European journal of preventive cardiology [Eur J Prev Cardiol] 2023 Oct 26; Vol. 30 (15), pp. 1689-1701.
DOI:	10.1093/eurjpc/zwad180
Abstrakt:	Aims: The aim of this study was to evaluate if a combination of World Health Organization-5 (WHO-5), Anxiety Symptom Scale-2 (ASS-2), and Major Depression Inventory-2 (MDI-2) can replace the Hospital Anxiety and Depression Scale (HADS) as screening tool for anxiety and depression in cardiac patients across diagnoses and whether it is feasible to generate crosswalks (translation tables) for use in clinical practice. Methods and Results: We used data from the Danish 'Life with a heart disease' survey, in which 10 000 patients with a hospital contact and discharge diagnosis of ischaemic heart disease, heart failure, heart valve disease, or atrial fibrillation in 2018 were invited. Potential participants received an electronic questionnaire including 51 questions on health, well-being, and evaluation of the health care system. Crosswalks between WHO-5/ASS-2 and HADS anxiety dimension (HADS-A) and between WHO-5/MDI-2 and HADS depression dimension (HADS-D) were generated and tested using item response theory (IRT). A total of 4346 patients responded to HADS, WHO-5, ASS-2, and MDI-2. Model fit of the bi-factor IRT models illustrated appropriateness of a bi-factor structure and thus of essential uni-dimensionality [root mean square error of approximation (RMSEA) (P value) range 0.000-0.053 (0.0099-0.7529) for anxiety and 0.033-0.061 (0.0168-0.2233) for depression]. A combination of WHO-5 and ASS-2 measured the same trait as HADS-A, and a combination of WHO-5 and MDI-2 measured the same trait as HADS-D. Consequently, crosswalks (translation tables) were generated. Conclusions: Our study shows that it is feasible to use crosswalks between HADS-A and WHO-5/ASS-2 and HADS-D and WHO-5/MDI-2 for screening cardiac patients across diagnoses for anxiety and depression in clinical practice. Competing Interests: Conflict of interest: None declared. (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.)
Databáze:	MEDLINE
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