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, A.W. Levis, K.E. Riehm, N. Saadat, M. Azar, D.B. Rice, T.A. Sanchez, M.J. Chiovitti, P. Cuijpers, S. Gilbody, J.P.A. Ioannidis, L.A. Kloda, D. McMillan, S.B. Patten, I. Shrier, B. Arroll, C.H. Bombardier, P. ButterworthG. Carter, K. Clover, Y. Conwell, F. Goodyear-Smith, C.G. Greeno, J. Hambridge, P.A. Harrison, M. Hudson, N. Jetté, K.M. Kiely, A. McGuire, B.W. Pence, A.G. Rooney, A. Sidebottom, A. Simning, A. Turner, J. White, M.A. Whooley, K. Winkley, A. Benedetti, B.D. Thombs

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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 prespecified validity, reliability, and diagnostic accuracy criteria. Results: A four-item short form of the PHQ (PHQ-Dep-4) was selected. The PHQ-Dep-4 had a Cronbach's alpha of 0.805. Sensitivity and specificity of the PHQ-Dep-4 were 0.788 and 0.837, respectively, and were statistically equivalent to the PHQ-9 (sensitivity = 0.761, specificity = 0.866). The correlation of total scores with the full PHQ-9 was high (r = 0.919). Conclusion: The PHQ-Dep-4 is a valid short form with minimal loss of information of scores when compared to the full-length PHQ-9. Although OTA methods have been used to shorten patient-reported outcome measures based on objective, prespecified criteria, further studies are required to validate this general procedure for broader use in health research. Furthermore, due to unexamined heterogeneity, there is a need to replicate the results of this study in different patient populations.

Original languageEnglish
Pages (from-to)82-92
Number of pages11
JournalDepression and Anxiety
Volume36
Issue number1
Early online date20 Sept 2018
DOIs
Publication statusPublished - Jan 2019

Bibliographical note

FOCUS ON: MEASURING AND DETECTING DEPRESSION

Funding

FundersFunder number
Australian National Health and Medical Research Council
Bay-lor College of MedicineH133N060003
Cure Scleroderma Foundation
Department of Education
Department of Veterans
Euroimmun
Inova Diagnostics Inc
Inova Diagnostics, Inc.
Institute
National Health Service Lothian Neuro-Oncology Endowment Fund
Scleroderma Society of Canada
Scleroderma Society of Saskatchewan
Sclérodermie Québec
Vanier Canada Graduate Scholarship
National Institutes of HealthT32 GM07356
U.S. Department of Health and Human Services
National Institute of Mental HealthK02 MH65919, R24 MH56858, R34 MH072925, R34MH084673
National Institute of Diabetes and Digestive and Kidney DiseasesP30DK050456
National Center for Research ResourcesTL1 RR024135
Health Resources and Services AdministrationR40MC07840
Agency for Healthcare Research and QualityR36 HS018246, R24MH071604
Robert Wood Johnson Foundation
American Federation for Aging Research
Pfizer
National Institute on Disability and Rehabilitation Research
New York University
Ischemia Research and Education Foundation
University of MichiganH133N060032
Alberta Health Services
University of WashingtonH133N060033
Hotchkiss Brain Institute
Canadian Institutes of Health ResearchKRS-134297
Fonds de Recherche du Québec - Santé
National Institute for Health ResearchRO1-MH069666, RP-PG-0606-1142, 1088313
National Heart and Lung InstituteR01 HL079235
Australian Research CouncilFT130101444
National Health and Medical Research Council1002160
Hunter Medical Research Institute
Health Research Council of New ZealandFRN 83518
Canadian Arthritis Network
Lady Davis Institute for Medical Research
Scleroderma Society of Ontario

    Keywords

    • depression
    • Patient Health Questionnaire
    • patient outcome assessment
    • psychometrics

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