Journal article
Key patterns and predictors of response to treatment for military veterans with post-traumatic stress disorder: A growth mixture modelling approach
AJ Phelps, Z Steel, O Metcalf, N Alkemade, K Kerr, M O'Donnell, J Nursey, J Cooper, A Howard, R Armstrong, D Forbes
Psychological Medicine | CAMBRIDGE UNIV PRESS | Published : 2018
Abstract
Background To determine the patterns and predictors of treatment response trajectories for veterans with post-traumatic stress disorder (PTSD). Methods Conditional latent growth mixture modelling was used to identify classes and predictors of class membership. In total, 2686 veterans treated for PTSD between 2002 and 2015 across 14 hospitals in Australia completed the PTSD Checklist at intake, discharge, and 3 and 9 months follow-up. Predictor variables included co-morbid mental health problems, relationship functioning, employment and compensation status. Results Five distinct classes were found: those with the most severe PTSD at intake separated into a relatively large class (32.5%) with ..
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Funding Acknowledgements
This study was supported by the Australian Department of Veterans' Affairs. The funding organisation was not involved in the design or conduct of the study; collection, management, analysis or interpretation of the data; preparation, review, and approval of the manuscript; or decision to submit the manuscript for publication. All authors report no financial relationships with commercial interests. AJP had full access to all the data and had final responsibility for the decision to submit for publication. No authors are declaring a conflict of interest. The authors would like to thank the staff and participating veterans from Australia's PTSD treatment programmes.