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The assessment of depression in people with multiple sclerosis: a systematic review of psychometric validation studies

BACKGROUND: The prevalence of depression in people with multiple sclerosis (PwMS) is high; however, symptoms common to both conditions makes measurement difficult. There is no high quality overview of validation studies to guide the choice of depression inventory for this population. METHODS: A syst...

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Autores principales: Hind, Daniel, Kaklamanou, Daphne, Beever, Dan, Webster, Rosie, Lee, Ellen, Barkham, Michael, Cooper, Cindy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4973535/
https://www.ncbi.nlm.nih.gov/pubmed/27491674
http://dx.doi.org/10.1186/s12888-016-0931-5
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author Hind, Daniel
Kaklamanou, Daphne
Beever, Dan
Webster, Rosie
Lee, Ellen
Barkham, Michael
Cooper, Cindy
author_facet Hind, Daniel
Kaklamanou, Daphne
Beever, Dan
Webster, Rosie
Lee, Ellen
Barkham, Michael
Cooper, Cindy
author_sort Hind, Daniel
collection PubMed
description BACKGROUND: The prevalence of depression in people with multiple sclerosis (PwMS) is high; however, symptoms common to both conditions makes measurement difficult. There is no high quality overview of validation studies to guide the choice of depression inventory for this population. METHODS: A systematic review of studies validating the use of generic depression inventories in people with MS was conducted using MEDLINE and PsycINFO. Studies validating the use of depression inventories in PwMS and published in English were included; validation studies of tests for cognitive function and general mental health were excluded. Eligible studies were then quality assessed using the COSMIN checklist and findings synthesised narratively by instrument and validity domain. RESULTS: Twenty-one studies (N = 5,991 PwMS) evaluating 12 instruments were included in the review. Risk of bias varied greatly between instrument and validity domain. CONCLUSIONS: The review of validation studies was constrained by poor quality reporting and outcome reporting bias. Well-conducted evaluations of some instruments are unavailable for some validity domains. This systematic review provides an evidence base for trade-offs in the selection of an instrument for assessing self-reported symptoms of depression in research or clinical practice involving people with MS. We make detailed and specific recommendations for where further research is needed. TRIAL REGISTRATION: PROSPERO CRD42014010597
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spelling pubmed-49735352016-08-05 The assessment of depression in people with multiple sclerosis: a systematic review of psychometric validation studies Hind, Daniel Kaklamanou, Daphne Beever, Dan Webster, Rosie Lee, Ellen Barkham, Michael Cooper, Cindy BMC Psychiatry Research Article BACKGROUND: The prevalence of depression in people with multiple sclerosis (PwMS) is high; however, symptoms common to both conditions makes measurement difficult. There is no high quality overview of validation studies to guide the choice of depression inventory for this population. METHODS: A systematic review of studies validating the use of generic depression inventories in people with MS was conducted using MEDLINE and PsycINFO. Studies validating the use of depression inventories in PwMS and published in English were included; validation studies of tests for cognitive function and general mental health were excluded. Eligible studies were then quality assessed using the COSMIN checklist and findings synthesised narratively by instrument and validity domain. RESULTS: Twenty-one studies (N = 5,991 PwMS) evaluating 12 instruments were included in the review. Risk of bias varied greatly between instrument and validity domain. CONCLUSIONS: The review of validation studies was constrained by poor quality reporting and outcome reporting bias. Well-conducted evaluations of some instruments are unavailable for some validity domains. This systematic review provides an evidence base for trade-offs in the selection of an instrument for assessing self-reported symptoms of depression in research or clinical practice involving people with MS. We make detailed and specific recommendations for where further research is needed. TRIAL REGISTRATION: PROSPERO CRD42014010597 BioMed Central 2016-08-04 /pmc/articles/PMC4973535/ /pubmed/27491674 http://dx.doi.org/10.1186/s12888-016-0931-5 Text en © The Author(s). 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
Hind, Daniel
Kaklamanou, Daphne
Beever, Dan
Webster, Rosie
Lee, Ellen
Barkham, Michael
Cooper, Cindy
The assessment of depression in people with multiple sclerosis: a systematic review of psychometric validation studies
title The assessment of depression in people with multiple sclerosis: a systematic review of psychometric validation studies
title_full The assessment of depression in people with multiple sclerosis: a systematic review of psychometric validation studies
title_fullStr The assessment of depression in people with multiple sclerosis: a systematic review of psychometric validation studies
title_full_unstemmed The assessment of depression in people with multiple sclerosis: a systematic review of psychometric validation studies
title_short The assessment of depression in people with multiple sclerosis: a systematic review of psychometric validation studies
title_sort assessment of depression in people with multiple sclerosis: a systematic review of psychometric validation studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4973535/
https://www.ncbi.nlm.nih.gov/pubmed/27491674
http://dx.doi.org/10.1186/s12888-016-0931-5
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