A systematic review and meta-analysis of the diagnostic accuracy of self-report screening instruments for common mental disorders in Arabic-speaking adults
Introduction Self-report questionnaires to screen for symptoms of common mental disorders (CMDs) are commonly used as inexpensive, easy-to-administer tools in research and clinical practice. However, their validity to detect the presence of any CMD across cultures and languages is unclear. Psychome...
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Language: | English |
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Cambridge University Press
2022-06-01
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Series: | European Psychiatry |
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Online Access: | https://www.cambridge.org/core/product/identifier/S0924933822002760/type/journal_article |
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author | A. De Graaff P. Cuijpers M. Leeflang I. Sferra J. Uppendahl M. Sijbrandij R. De Vries |
author_facet | A. De Graaff P. Cuijpers M. Leeflang I. Sferra J. Uppendahl M. Sijbrandij R. De Vries |
author_sort | A. De Graaff |
collection | DOAJ |
description |
Introduction
Self-report questionnaires to screen for symptoms of common mental disorders (CMDs) are commonly used as inexpensive, easy-to-administer tools in research and clinical practice. However, their validity to detect the presence of any CMD across cultures and languages is unclear. Psychometrically sound and brief case-finding instruments are vital for the identification of individuals with mental health needs. With the increasing number of Arabic-speaking refugees in Europe, we aim to evaluate the diagnostic accuracy of Arabic-language screening instruments.
Objectives
The aim of this systematic review/meta-analysis is to synthesize the diagnostic accuracy of self-report questionnaires to detect depression, anxiety and posttraumatic stress disorder (PTSD) in Arabic-speaking populations.
Methods
Five databases were searched (inception-January 2021) (PROSPERO: CRD42018070645) for studies on the diagnostic accuracy of brief questionnaires in Arabic-speaking populations, with a clinical interview as reference standard. Data on sensitivity/specificity were extracted/calculated. Multi-threshold meta-analyses were performed (R diagmeta package). Study quality was assessed using QUADAS-2.
Results
We included 32 studies (N=4042 participants) reporting on questionnaires targeting depression/anxiety (14 questionnaires), distress (2 questionnaires), and PTSD (1 questionnaire). Optimal thresholds were identified for the Edinburgh Postnatal Depression Scale (EPDS; cut-off 11, sensitivity 76.9%, specificity 85.1%), Hospital Anxiety and Depression Scale (HADS) anxiety subscale (cut-off 7, sensitivity 81.9%, specificity 87.6%), depression subscale (cut-off 6, sensitivity 73.0%, specificity 88.6%), and Self-Reporting Questionnaire (SRQ-20; cut-off 8, sensitivity 86.0%, specificity 83.9%).
Conclusions
We present optimal thresholds that can be used by clinicians and researchers for the EPDS, HADS and SRQ-20. More research on Arabic-language questionnaires, especially those targeting PTSD, is needed.
Disclosure
No significant relationships.
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first_indexed | 2024-03-11T07:46:08Z |
format | Article |
id | doaj.art-489e37f6ebe44a148aadc15bb6820f4a |
institution | Directory Open Access Journal |
issn | 0924-9338 1778-3585 |
language | English |
last_indexed | 2024-03-11T07:46:08Z |
publishDate | 2022-06-01 |
publisher | Cambridge University Press |
record_format | Article |
series | European Psychiatry |
spelling | doaj.art-489e37f6ebe44a148aadc15bb6820f4a2023-11-17T05:07:29ZengCambridge University PressEuropean Psychiatry0924-93381778-35852022-06-0165S94S9510.1192/j.eurpsy.2022.276A systematic review and meta-analysis of the diagnostic accuracy of self-report screening instruments for common mental disorders in Arabic-speaking adultsA. De Graaff0P. Cuijpers1M. Leeflang2I. Sferra3J. Uppendahl4M. Sijbrandij5R. De Vries6Vrije Universiteit Amsterdam, Clinical, Neuro- And Developmental Psychology, Amsterdam, NetherlandsVrije Universiteit Amsterdam, Clinical, Neuro- And Developmental Psychology, Amsterdam, NetherlandsUniversity of Amsterdam, Department Of Epidemiology And Data Science, Amsterdam, NetherlandsSapienza University of Rome, Department Of Human Neurosciences, Rome, ItalyVrije Universiteit Amsterdam, Clinical, Neuro- And Developmental Psychology, Amsterdam, NetherlandsVrije Universiteit Amsterdam, Clinical, Neuro- And Developmental Psychology, Amsterdam, NetherlandsVrije Universiteit Amsterdam, Medical Library, Amsterdam, Netherlands Introduction Self-report questionnaires to screen for symptoms of common mental disorders (CMDs) are commonly used as inexpensive, easy-to-administer tools in research and clinical practice. However, their validity to detect the presence of any CMD across cultures and languages is unclear. Psychometrically sound and brief case-finding instruments are vital for the identification of individuals with mental health needs. With the increasing number of Arabic-speaking refugees in Europe, we aim to evaluate the diagnostic accuracy of Arabic-language screening instruments. Objectives The aim of this systematic review/meta-analysis is to synthesize the diagnostic accuracy of self-report questionnaires to detect depression, anxiety and posttraumatic stress disorder (PTSD) in Arabic-speaking populations. Methods Five databases were searched (inception-January 2021) (PROSPERO: CRD42018070645) for studies on the diagnostic accuracy of brief questionnaires in Arabic-speaking populations, with a clinical interview as reference standard. Data on sensitivity/specificity were extracted/calculated. Multi-threshold meta-analyses were performed (R diagmeta package). Study quality was assessed using QUADAS-2. Results We included 32 studies (N=4042 participants) reporting on questionnaires targeting depression/anxiety (14 questionnaires), distress (2 questionnaires), and PTSD (1 questionnaire). Optimal thresholds were identified for the Edinburgh Postnatal Depression Scale (EPDS; cut-off 11, sensitivity 76.9%, specificity 85.1%), Hospital Anxiety and Depression Scale (HADS) anxiety subscale (cut-off 7, sensitivity 81.9%, specificity 87.6%), depression subscale (cut-off 6, sensitivity 73.0%, specificity 88.6%), and Self-Reporting Questionnaire (SRQ-20; cut-off 8, sensitivity 86.0%, specificity 83.9%). Conclusions We present optimal thresholds that can be used by clinicians and researchers for the EPDS, HADS and SRQ-20. More research on Arabic-language questionnaires, especially those targeting PTSD, is needed. Disclosure No significant relationships. https://www.cambridge.org/core/product/identifier/S0924933822002760/type/journal_articlediagnostic test accuracyquestionnairesCommon mental disorderssensitivity/specificity |
spellingShingle | A. De Graaff P. Cuijpers M. Leeflang I. Sferra J. Uppendahl M. Sijbrandij R. De Vries A systematic review and meta-analysis of the diagnostic accuracy of self-report screening instruments for common mental disorders in Arabic-speaking adults European Psychiatry diagnostic test accuracy questionnaires Common mental disorders sensitivity/specificity |
title | A systematic review and meta-analysis of the diagnostic accuracy of self-report screening instruments for common mental disorders in Arabic-speaking adults |
title_full | A systematic review and meta-analysis of the diagnostic accuracy of self-report screening instruments for common mental disorders in Arabic-speaking adults |
title_fullStr | A systematic review and meta-analysis of the diagnostic accuracy of self-report screening instruments for common mental disorders in Arabic-speaking adults |
title_full_unstemmed | A systematic review and meta-analysis of the diagnostic accuracy of self-report screening instruments for common mental disorders in Arabic-speaking adults |
title_short | A systematic review and meta-analysis of the diagnostic accuracy of self-report screening instruments for common mental disorders in Arabic-speaking adults |
title_sort | systematic review and meta analysis of the diagnostic accuracy of self report screening instruments for common mental disorders in arabic speaking adults |
topic | diagnostic test accuracy questionnaires Common mental disorders sensitivity/specificity |
url | https://www.cambridge.org/core/product/identifier/S0924933822002760/type/journal_article |
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