1. Validation of online psychometric instruments for common mental health disorders: a systematic review.
- Author
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van Ballegooijen W, Riper H, Cuijpers P, van Oppen P, and Smit JH
- Subjects
- Anxiety Disorders diagnosis, Depression diagnosis, Depressive Disorder diagnosis, Diagnosis, Computer-Assisted methods, Humans, Mental Health, Psychiatric Status Rating Scales, Psychometrics methods, Reproducibility of Results, Diagnosis, Computer-Assisted standards, Internet statistics & numerical data, Mental Disorders diagnosis, Surveys and Questionnaires standards
- Abstract
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.
- Published
- 2016
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