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Development of the RMT20, a composite screener to identify common mental disorders

BACKGROUND: There are few very brief measures that accurately identify multiple common mental disorders. AIMS: The aim of this study was to develop and assess the psychometric properties of a new composite measure to screen for five common mental disorders. METHOD: Two cross-sectional psychometric s...

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Detalles Bibliográficos
Autores principales: Batterham, Philip J., Sunderland, Matthew, Carragher, Natacha, Calear, Alison L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331084/
https://www.ncbi.nlm.nih.gov/pubmed/32419687
http://dx.doi.org/10.1192/bjo.2020.37
Descripción
Sumario:BACKGROUND: There are few very brief measures that accurately identify multiple common mental disorders. AIMS: The aim of this study was to develop and assess the psychometric properties of a new composite measure to screen for five common mental disorders. METHOD: Two cross-sectional psychometric surveys were used to develop (n = 3175) and validate (n = 3620) the new measure, the Rapid Measurement Toolkit-20 (RMT20) against diagnostic criteria. The RMT20 was tested against a DSM-5 clinical checklist for major depression, generalised anxiety disorder, panic disorder, social anxiety disorder and post-traumatic stress disorder, with comparison with two measures of general psychological distress: the Kessler-10 and Distress Questionnaire-5. RESULTS: The area under the curve for the RMT20 was significantly greater than for the distress measures, ranging from 0.86 to 0.92 across the five disorders. Sensitivity and specificity at prescribed cut-points were excellent, with sensitivity ranging from 0.85 to 0.93 and specificity ranging from 0.73 to 0.83 across the five disorders. CONCLUSIONS: The RMT20 outperformed two established scales assessing general psychological distress, is free to use and has low respondent burden. The measure is well-suited to clinical screening, internet-based screening and large-scale epidemiological surveys.