Cargando…

Validation of online psychometric instruments for common mental health disorders: a systematic review

BACKGROUND: Online questionnaires for measuring common mental health disorders such as depression and anxiety disorders are increasingly used. The psychometrics of several pen-and-paper questionnaires have been re-examined for online use and new online instruments have been developed and tested for...

Descripción completa

Detalles Bibliográficos
Autores principales: van Ballegooijen, Wouter, Riper, Heleen, Cuijpers, Pim, van Oppen, Patricia, Smit, Johannes H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4766750/
https://www.ncbi.nlm.nih.gov/pubmed/26915661
http://dx.doi.org/10.1186/s12888-016-0735-7
_version_ 1782417723793342464
author van Ballegooijen, Wouter
Riper, Heleen
Cuijpers, Pim
van Oppen, Patricia
Smit, Johannes H.
author_facet van Ballegooijen, Wouter
Riper, Heleen
Cuijpers, Pim
van Oppen, Patricia
Smit, Johannes H.
author_sort van Ballegooijen, Wouter
collection PubMed
description BACKGROUND: Online questionnaires for measuring common mental health disorders such as depression and anxiety disorders are increasingly used. The psychometrics of several pen-and-paper questionnaires have been re-examined for online use and new online instruments have been developed and tested for validity as well. This study aims to review and synthesise the literature on this subject and provide a framework for future research. METHODS: We searched Medline and PsycINFO for psychometric studies on online instruments for common mental health disorders and extracted the psychometric data. Studies were coded and assessed for quality by independent raters. RESULTS: We included 56 studies on 62 online instruments. For common instruments such as the CES-D, MADRS-S and HADS there is mounting evidence for adequate psychometric properties. Further results are scattered over different instruments and different psychometric characteristics. Few studies included patient populations. CONCLUSIONS: We found at least one online measure for each of the included mental health disorders and symptoms. A small number of online questionnaires have been studied thoroughly. This study provides an overview of online instruments to refer to when choosing an instrument for assessing common mental health disorders online, and can structure future psychometric research. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12888-016-0735-7) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4766750
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-47667502016-02-26 Validation of online psychometric instruments for common mental health disorders: a systematic review van Ballegooijen, Wouter Riper, Heleen Cuijpers, Pim van Oppen, Patricia Smit, Johannes H. BMC Psychiatry Research Article BACKGROUND: Online questionnaires for measuring common mental health disorders such as depression and anxiety disorders are increasingly used. The psychometrics of several pen-and-paper questionnaires have been re-examined for online use and new online instruments have been developed and tested for validity as well. This study aims to review and synthesise the literature on this subject and provide a framework for future research. METHODS: We searched Medline and PsycINFO for psychometric studies on online instruments for common mental health disorders and extracted the psychometric data. Studies were coded and assessed for quality by independent raters. RESULTS: We included 56 studies on 62 online instruments. For common instruments such as the CES-D, MADRS-S and HADS there is mounting evidence for adequate psychometric properties. Further results are scattered over different instruments and different psychometric characteristics. Few studies included patient populations. CONCLUSIONS: We found at least one online measure for each of the included mental health disorders and symptoms. A small number of online questionnaires have been studied thoroughly. This study provides an overview of online instruments to refer to when choosing an instrument for assessing common mental health disorders online, and can structure future psychometric research. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12888-016-0735-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-02-25 /pmc/articles/PMC4766750/ /pubmed/26915661 http://dx.doi.org/10.1186/s12888-016-0735-7 Text en © van Ballegooijen 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
van Ballegooijen, Wouter
Riper, Heleen
Cuijpers, Pim
van Oppen, Patricia
Smit, Johannes H.
Validation of online psychometric instruments for common mental health disorders: a systematic review
title Validation of online psychometric instruments for common mental health disorders: a systematic review
title_full Validation of online psychometric instruments for common mental health disorders: a systematic review
title_fullStr Validation of online psychometric instruments for common mental health disorders: a systematic review
title_full_unstemmed Validation of online psychometric instruments for common mental health disorders: a systematic review
title_short Validation of online psychometric instruments for common mental health disorders: a systematic review
title_sort validation of online psychometric instruments for common mental health disorders: a systematic review
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4766750/
https://www.ncbi.nlm.nih.gov/pubmed/26915661
http://dx.doi.org/10.1186/s12888-016-0735-7
work_keys_str_mv AT vanballegooijenwouter validationofonlinepsychometricinstrumentsforcommonmentalhealthdisordersasystematicreview
AT riperheleen validationofonlinepsychometricinstrumentsforcommonmentalhealthdisordersasystematicreview
AT cuijperspim validationofonlinepsychometricinstrumentsforcommonmentalhealthdisordersasystematicreview
AT vanoppenpatricia validationofonlinepsychometricinstrumentsforcommonmentalhealthdisordersasystematicreview
AT smitjohannesh validationofonlinepsychometricinstrumentsforcommonmentalhealthdisordersasystematicreview