Measurement properties of mental health literacy tools measuring help-seeking: a systematic review*. (2nd November 2017)

• Record Type: Journal Article
• Authors: Wei, Yifeng; McGrath, Patrick J.; Hayden, Jill; Kutcher, Stan
• Is Part Of: Journal of mental health. Volume 26:Number 6(2017:Dec.)
• Page Start: 543
• Page End: 555
• Publication Date: 2017-11-02
• Subjects: mental health literacy -- help-seeking tools -- psychometrics -- quality of measurement properties -- systematic review; Mental health -- Periodicals; Mental health services -- Periodicals; 362.2
• DOI: 10.1080/09638237.2016.1276532
• Languages: English
• ISSNs: 0963-8237

Abstract

Abstract: Background : Mental health literacy is important to improve help-seeking behaviors. However, the quality of mental health help-seeking tools remains unknown. Aims : We conducted a systematic review to appraise the quality of such tools. Methods : We searched databases for English publications addressing psychometrics of help-seeking tools. We included help-seeking tools addressing mental health in general and tools on four mental disorders: anxiety, depression, attention deficit hyperactivity disorder (ADHD) and schizophrenia. We determined the methodological quality of studies as "excellent", "good", "fair", or "indeterminate". We ranked the level of evidence of each measurement property as "strong", "moderate", "limited", "conflicting" or "unknown". Results : We found 12 help-seeking tools in 24 studies that assessed related psychometrics. The methodological quality of included studies ranged from "poor" to "excellent" with four studies on the content validity, structural validity or internal consistency demonstrating "excellent" quality. Three tools demonstrated overall strong evidence (content or structural validity); eight tools demonstrated moderate evidence (internal consistency, structural or construct validity); and eight tools demonstrated limited evidence (reliability, construct validity or internal consistency). Conclusions : We recommend the application of tools with strong or moderate evidence for their psychometric properties. Future research may focus on the generalizability of the tools across diverse settings.