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Factor structure and longitudinal measurement invariance of PHQ-9 for specialist mental health care patients with persistent major depressive disorder: Exploratory Structural Equation Modelling

Guo, Boliang; Kaylor-Hughes, Catherine; Garland, Anne; Nixon, Neil; Sweeney, Tim; Simpson, Sandra; Dalgleish, Tim; Ramana, Rajini; Yang, Min; Morriss, Richard

Factor structure and longitudinal measurement invariance of PHQ-9 for specialist mental health care patients with persistent major depressive disorder: Exploratory Structural Equation Modelling Thumbnail


Authors

BOLIANG GUO BOLIANG.GUO@NOTTINGHAM.AC.UK
Associate Professor

Catherine Kaylor-Hughes

Anne Garland

Neil Nixon

Tim Sweeney

Sandra Simpson

Tim Dalgleish

Rajini Ramana

Min Yang

RICHARD MORRISS richard.morriss@nottingham.ac.uk
Professor of Psychiatry and Community Mental Health



Abstract

Background: The Patient Health Questionnaire-9 (PHQ-9) is a widely used instrument for measuring levels of depression in patients in clinical practice and academic research; its factor structure has been investigated in various samples, with limited evidence of measurement equivalence/invariance (ME/I) but not in patients with more severe depression of long duration. This study aims to explore the factor structure of the PHQ-9 and the ME/I between treatment groups over time for these patients.
Methods: 187 secondary care patients with persistent major depressive disorder (PMDD) were recruited to a randomised controlled trial (RCT) with allocation to either a specialist depression team arm or a general mental health arm; their PHQ-9 score was measured at baseline, 3, 6, 9 and 12 months. Exploratory Structural Equational Modelling (ESEM) was performed to examine the factor structure for this specific patient group. ME/I between treatment arm at and across follow-up time were further explored by means of multiple-group ESEM approach using the best-fitted factor structure.
Results: A two-factor structure was evidenced (somatic and affective factor). This two-factor structure had strong factorial invariance between the treatment groups at and across follow up times.
Limitations: Participants were largely white British in a RCT with 40% attrition potentially limiting the study’s generalisability. Not all two-factor modelling criteria were met at every time-point.
Conclusion: PHQ-9 has a two-factor structure for PMDD patients, with strong measurement invariance between treatment groups at and across follow-up time, demonstrating its validity for RCTs and prospective longitudinal studies in chronic moderate to severe depression.

Citation

Guo, B., Kaylor-Hughes, C., Garland, A., Nixon, N., Sweeney, T., Simpson, S., …Morriss, R. (2017). Factor structure and longitudinal measurement invariance of PHQ-9 for specialist mental health care patients with persistent major depressive disorder: Exploratory Structural Equation Modelling. Journal of Affective Disorders, 219, 1-8. https://doi.org/10.1016/j.jad.2017.05.020

Journal Article Type Article
Acceptance Date May 6, 2017
Online Publication Date May 8, 2017
Publication Date 2017-09
Deposit Date May 10, 2017
Publicly Available Date May 10, 2017
Journal Journal of Affective Disorders
Print ISSN 0165-0327
Electronic ISSN 1573-2517
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 219
Pages 1-8
DOI https://doi.org/10.1016/j.jad.2017.05.020
Keywords PHQ-9, factor structure, measurement equivalence/invariance, Exploratory Structural Equational Modelling, major depressive disorder, chronic depression
Public URL https://nottingham-repository.worktribe.com/output/885602
Publisher URL http://www.sciencedirect.com/science/article/pii/S0165032716317852
Additional Information This article is maintained by: Elsevier; Article Title: Factor structure and longitudinal measurement invariance of PHQ-9 for specialist mental health care patients with persistent major depressive disorder: Exploratory Structural Equation Modelling; Journal Title: Journal of Affective Disorders; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.jad.2017.05.020; Content Type: article; Copyright: © 2017 Elsevier B.V. All rights reserved.

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