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The hospital anxiety and depression rating scale: A cross-sectional study of psychometrics and case finding abilities in general practice

BACKGROUND: General practitioners' (GPs) diagnostic skills lead to underidentification of generalized anxiety disorders (GAD) and major depressive episodes (MDE). Supplement of brief questionnaires could improve the diagnostic accuracy of GPs for these common mental disorders. The aims of this...

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Autores principales: Olssøn, Ingrid, Mykletun, Arnstein, Dahl, Alv A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1343544/
https://www.ncbi.nlm.nih.gov/pubmed/16351733
http://dx.doi.org/10.1186/1471-244X-5-46
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author Olssøn, Ingrid
Mykletun, Arnstein
Dahl, Alv A
author_facet Olssøn, Ingrid
Mykletun, Arnstein
Dahl, Alv A
author_sort Olssøn, Ingrid
collection PubMed
description BACKGROUND: General practitioners' (GPs) diagnostic skills lead to underidentification of generalized anxiety disorders (GAD) and major depressive episodes (MDE). Supplement of brief questionnaires could improve the diagnostic accuracy of GPs for these common mental disorders. The aims of this study were to examine the usefulness of The Hospital Anxiety and Depression Rating Scale (HADS) for GPs by: 1) Examining its psychometrics in the GPs' setting; 2) Testing its case-finding properties compared to patient-rated GAD and MDE (DSM-IV); and 3) Comparing its case finding abilities to that of the GPs using Clinical Global Impression-Severity (CGI-S) rating. METHODS: In a cross-sectional survey study 1,781 patients in three consecutive days in September 2001 attended 141 GPs geographically spread in Norway. Sensitivity, specificity, optimal cut off score, and Area under the curve (AUC) for the HADS and the CGI-S were calculated with Generalized Anxiety Questionnaire (GAS-Q) as reference standard for GAD, and Depression Screening Questionnaire (DSQ) for MDE. RESULTS: The HADS-A had optimal cut off ≥8 (sensitivity 0.89, specificity 0.75), AUC 0.88 and 76% of patients were correctly classified in relation to GAD. The HADS-D had by optimal cut off ≥8 (sensitivity 0.80 and specificity 0.88) AUC 0.93 and 87% of the patients were correctly classified in relation to MDE. Proportions of the total correctly classified at the CGI-S optimal cut-off ≥3 were 83% of patients for GAD and 81% for MDE. CONCLUSION: The results indicate that addition of the patients' HADS scores to GPs' information could improve their diagnostic accuracy of GAD and MDE.
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spelling pubmed-13435442006-01-21 The hospital anxiety and depression rating scale: A cross-sectional study of psychometrics and case finding abilities in general practice Olssøn, Ingrid Mykletun, Arnstein Dahl, Alv A BMC Psychiatry Research Article BACKGROUND: General practitioners' (GPs) diagnostic skills lead to underidentification of generalized anxiety disorders (GAD) and major depressive episodes (MDE). Supplement of brief questionnaires could improve the diagnostic accuracy of GPs for these common mental disorders. The aims of this study were to examine the usefulness of The Hospital Anxiety and Depression Rating Scale (HADS) for GPs by: 1) Examining its psychometrics in the GPs' setting; 2) Testing its case-finding properties compared to patient-rated GAD and MDE (DSM-IV); and 3) Comparing its case finding abilities to that of the GPs using Clinical Global Impression-Severity (CGI-S) rating. METHODS: In a cross-sectional survey study 1,781 patients in three consecutive days in September 2001 attended 141 GPs geographically spread in Norway. Sensitivity, specificity, optimal cut off score, and Area under the curve (AUC) for the HADS and the CGI-S were calculated with Generalized Anxiety Questionnaire (GAS-Q) as reference standard for GAD, and Depression Screening Questionnaire (DSQ) for MDE. RESULTS: The HADS-A had optimal cut off ≥8 (sensitivity 0.89, specificity 0.75), AUC 0.88 and 76% of patients were correctly classified in relation to GAD. The HADS-D had by optimal cut off ≥8 (sensitivity 0.80 and specificity 0.88) AUC 0.93 and 87% of the patients were correctly classified in relation to MDE. Proportions of the total correctly classified at the CGI-S optimal cut-off ≥3 were 83% of patients for GAD and 81% for MDE. CONCLUSION: The results indicate that addition of the patients' HADS scores to GPs' information could improve their diagnostic accuracy of GAD and MDE. BioMed Central 2005-12-14 /pmc/articles/PMC1343544/ /pubmed/16351733 http://dx.doi.org/10.1186/1471-244X-5-46 Text en Copyright © 2005 Olssøn et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Olssøn, Ingrid
Mykletun, Arnstein
Dahl, Alv A
The hospital anxiety and depression rating scale: A cross-sectional study of psychometrics and case finding abilities in general practice
title The hospital anxiety and depression rating scale: A cross-sectional study of psychometrics and case finding abilities in general practice
title_full The hospital anxiety and depression rating scale: A cross-sectional study of psychometrics and case finding abilities in general practice
title_fullStr The hospital anxiety and depression rating scale: A cross-sectional study of psychometrics and case finding abilities in general practice
title_full_unstemmed The hospital anxiety and depression rating scale: A cross-sectional study of psychometrics and case finding abilities in general practice
title_short The hospital anxiety and depression rating scale: A cross-sectional study of psychometrics and case finding abilities in general practice
title_sort hospital anxiety and depression rating scale: a cross-sectional study of psychometrics and case finding abilities in general practice
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1343544/
https://www.ncbi.nlm.nih.gov/pubmed/16351733
http://dx.doi.org/10.1186/1471-244X-5-46
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