Cargando…

Usefulness of the SF-36 Health Survey in screening for depressive and anxiety disorders in rheumatoid arthritis

BACKGROUND: This study aimed to assess the accuracy of the Short-Form Health Survey (SF-36) mental health subscale (MH) and mental component summary (MCS) scores in identifying the presence of probable major depressive or anxiety disorder in patients with rheumatoid arthritis. METHODS: SF-36 data we...

Descripción completa

Detalles Bibliográficos
Autores principales: Matcham, Faith, Norton, Sam, Steer, Sophia, Hotopf, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4878044/
https://www.ncbi.nlm.nih.gov/pubmed/27215696
http://dx.doi.org/10.1186/s12891-016-1083-y
_version_ 1782433501139697664
author Matcham, Faith
Norton, Sam
Steer, Sophia
Hotopf, Matthew
author_facet Matcham, Faith
Norton, Sam
Steer, Sophia
Hotopf, Matthew
author_sort Matcham, Faith
collection PubMed
description BACKGROUND: This study aimed to assess the accuracy of the Short-Form Health Survey (SF-36) mental health subscale (MH) and mental component summary (MCS) scores in identifying the presence of probable major depressive or anxiety disorder in patients with rheumatoid arthritis. METHODS: SF-36 data were collected in 100 hospital outpatients with rheumatoid arthritis. MH and MCS scores were compared against depression and anxiety data collected using validated measures as part of routine clinical practice. Sensitivity and specificity of the SF-36 were established using receiver operating characteristic (ROC) curve analysis, and area under the curve (AUC) compared the performance of the SF-36 components with the 9-item Patient Health Questionnaire (PHQ9) for depression and the 7-item Generalised Anxiety Disorder (GAD7) questionnaire for anxiety. RESULTS: The MH with a threshold of ≤52 had sensitivity and specificity of 81.0 and 71.4 % respectively to detect anxiety, correctly classifying 73.5 % of patients with probable anxiety disorder. A threshold of ≤56 had sensitivity and specificity of 92.6 and 73.2 % respectively to detect depression, correctly classifying 78.6 % of patients, and the same threshold could also be used to detect either depression or anxiety with a sensitivity of 87.9 %, specificity of 76.9 % and accuracy of 80.6 %. The MCS with a threshold of ≤35 had sensitivity and specificity of 85.7 and 81.9 % respectively to detect anxiety, correctly classifying 82.8 % of patients with probable anxiety disorder. A threshold of ≤40 had sensitivity and specificity of 92.3 and 70.2 % respectively to detect depression, correctly classifying 76.3 % of patients. A threshold of ≤38 could be used to detect either depression or anxiety with a sensitivity of 87.5 %, specificity of 80.3 % and accuracy of 82.8 %. CONCLUSION: This analysis may increase the utility of a widely-used questionnaire. Overall, optimal use of the SF-36 for screening for mental disorder may be through using the MCS with a threshold of ≤38 to identify the presence of either depression or anxiety. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12891-016-1083-y) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4878044
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-48780442016-05-25 Usefulness of the SF-36 Health Survey in screening for depressive and anxiety disorders in rheumatoid arthritis Matcham, Faith Norton, Sam Steer, Sophia Hotopf, Matthew BMC Musculoskelet Disord Research Article BACKGROUND: This study aimed to assess the accuracy of the Short-Form Health Survey (SF-36) mental health subscale (MH) and mental component summary (MCS) scores in identifying the presence of probable major depressive or anxiety disorder in patients with rheumatoid arthritis. METHODS: SF-36 data were collected in 100 hospital outpatients with rheumatoid arthritis. MH and MCS scores were compared against depression and anxiety data collected using validated measures as part of routine clinical practice. Sensitivity and specificity of the SF-36 were established using receiver operating characteristic (ROC) curve analysis, and area under the curve (AUC) compared the performance of the SF-36 components with the 9-item Patient Health Questionnaire (PHQ9) for depression and the 7-item Generalised Anxiety Disorder (GAD7) questionnaire for anxiety. RESULTS: The MH with a threshold of ≤52 had sensitivity and specificity of 81.0 and 71.4 % respectively to detect anxiety, correctly classifying 73.5 % of patients with probable anxiety disorder. A threshold of ≤56 had sensitivity and specificity of 92.6 and 73.2 % respectively to detect depression, correctly classifying 78.6 % of patients, and the same threshold could also be used to detect either depression or anxiety with a sensitivity of 87.9 %, specificity of 76.9 % and accuracy of 80.6 %. The MCS with a threshold of ≤35 had sensitivity and specificity of 85.7 and 81.9 % respectively to detect anxiety, correctly classifying 82.8 % of patients with probable anxiety disorder. A threshold of ≤40 had sensitivity and specificity of 92.3 and 70.2 % respectively to detect depression, correctly classifying 76.3 % of patients. A threshold of ≤38 could be used to detect either depression or anxiety with a sensitivity of 87.5 %, specificity of 80.3 % and accuracy of 82.8 %. CONCLUSION: This analysis may increase the utility of a widely-used questionnaire. Overall, optimal use of the SF-36 for screening for mental disorder may be through using the MCS with a threshold of ≤38 to identify the presence of either depression or anxiety. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12891-016-1083-y) contains supplementary material, which is available to authorized users. BioMed Central 2016-05-23 /pmc/articles/PMC4878044/ /pubmed/27215696 http://dx.doi.org/10.1186/s12891-016-1083-y Text en © Matcham et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Matcham, Faith
Norton, Sam
Steer, Sophia
Hotopf, Matthew
Usefulness of the SF-36 Health Survey in screening for depressive and anxiety disorders in rheumatoid arthritis
title Usefulness of the SF-36 Health Survey in screening for depressive and anxiety disorders in rheumatoid arthritis
title_full Usefulness of the SF-36 Health Survey in screening for depressive and anxiety disorders in rheumatoid arthritis
title_fullStr Usefulness of the SF-36 Health Survey in screening for depressive and anxiety disorders in rheumatoid arthritis
title_full_unstemmed Usefulness of the SF-36 Health Survey in screening for depressive and anxiety disorders in rheumatoid arthritis
title_short Usefulness of the SF-36 Health Survey in screening for depressive and anxiety disorders in rheumatoid arthritis
title_sort usefulness of the sf-36 health survey in screening for depressive and anxiety disorders in rheumatoid arthritis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4878044/
https://www.ncbi.nlm.nih.gov/pubmed/27215696
http://dx.doi.org/10.1186/s12891-016-1083-y
work_keys_str_mv AT matchamfaith usefulnessofthesf36healthsurveyinscreeningfordepressiveandanxietydisordersinrheumatoidarthritis
AT nortonsam usefulnessofthesf36healthsurveyinscreeningfordepressiveandanxietydisordersinrheumatoidarthritis
AT steersophia usefulnessofthesf36healthsurveyinscreeningfordepressiveandanxietydisordersinrheumatoidarthritis
AT hotopfmatthew usefulnessofthesf36healthsurveyinscreeningfordepressiveandanxietydisordersinrheumatoidarthritis