Journal article

Shortening self-report mental health symptom measures through optimal test assembly methods: Development and validation of the Patient Health Questionnaire-Depression-4

M Ishihara, D Harel, B Levis, AW Levis, KE Riehm, N Saadat, M Azar, DB Rice, TA Sanchez, MJ Chiovitti, P Cuijpers, S Gilbody, JPA Ioannidis, LA Kloda, D McMillan, SB Patten, I Shrier, B Arroll, CH Bombardier, P Butterworth Show all

Depression and Anxiety | Wiley | Published : 2019

Abstract

Background: The objective of this study was to develop and validate a short form of the Patient Health Questionnaire-9 (PHQ-9), a self-report questionnaire for assessing depressive symptomatology, using objective criteria. Methods: Responses on the PHQ-9 were obtained from 7,850 English-speaking participants enrolled in 20 primary diagnostic test accuracy studies. PHQ unidimensionality was verified using confirmatory factor analysis, and an item response theory model was fit. Optimal test assembly (OTA) methods identified a maximally precise short form for each possible length between one and eight items, including and excluding the ninth item. The final short form was selected based on pres..

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Grants

Awarded by National Institute of Mental Health


Awarded by NATIONAL CENTER FOR INJURY PREVENTION AND CONTROL


Awarded by NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES


Funding Acknowledgements

Safe Work Australia; Lady Davis Institute of Medical Research of the Jewish General Hospital; Inova Diagnostics Inc; Canadian Arthritis Network; Euroimmun; Alberta Health Services, the University of Calgary Faculty of Medicine, and the Hotchkiss Brain Institute; United States Department of Health and Human Services, Health Resources and Services Administration; Health Research Council of New Zealand; National Center for Research Resources; Australian National Health and Medical Research Council fellowship; United Kingdom National Health Service Lothian Neuro-Oncology Endowment Fund; National Institute of Mental Health, Grant/Award Numbers: K02MH65919, P30DK50456, R24 MH071604, R24MH56858, R24MH071604, R34MH072925, R34MH084673