Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol

Author:

Agarwal Sri MahavirORCID,Dissanayake Joel,Agid Ofer,Bowie Christopher,Brierley Noah,Chintoh Araba,De Luca Vincenzo,Diaconescu Andreea,Gerretsen Philip,Graff-Guerrero Ariel,Hawco Colin,Herman Yarissa,Hill SeanORCID,Hum Kathryn,Husain Muhammad Omair,Kennedy James L.,Kiang Michael,Kidd SeanORCID,Kozloff NicoleORCID,Maslej Marta,Mueller Daniel J.,Naeem Farooq,Neufeld Nicholas,Remington Gary,Rotenberg Martin,Selby PeterORCID,Siddiqui Ishraq,Szacun-Shimizu KateORCID,Tiwari Arun K.,Thirunavukkarasu Shanthos,Wang Wei,Yu Joanna,Zai Clement C.,Zipursky Robert,Hahn Margaret,Foussias GeorgeORCID

Abstract

Schizophrenia spectrum disorders (SSDs) are associated with significant functional impairments, disability, and low rates of personal recovery, along with tremendous economic costs linked primarily to lost productivity and premature mortality. Efforts to delineate the contributors to disability in SSDs have highlighted prominent roles for a diverse range of symptoms, physical health conditions, substance use disorders, neurobiological changes, and social factors. These findings have provided valuable advances in knowledge and helped define broad patterns of illness and outcomes across SSDs. Unsurprisingly, there have also been conflicting findings for many of these determinants that reflect the heterogeneous population of individuals with SSDs and the challenges of conceptualizing and treating SSDs as a unitary categorical construct. Presently it is not possible to identify the functional course on an individual level that would enable a personalized approach to treatment to alter the individual’s functional trajectory and mitigate the ensuing disability they would otherwise experience. To address this ongoing challenge, this study aims to conduct a longitudinal multimodal investigation of a large cohort of individuals with SSDs in order to establish discrete trajectories of personal recovery, disability, and community functioning, as well as the antecedents and predictors of these trajectories. This investigation will also provide the foundation for the co-design and testing of personalized interventions that alter these functional trajectories and improve outcomes for people with SSDs.

Funder

Centre for Addiction and Mental Health

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference202 articles.

1. Schizophrenia;J. van Os;Lancet,2009

2. Lifetime prevalence of psychotic and bipolar I disorders in a general population;J. Perala;Arch Gen Psychiatry,2007

3. Predictors of recovery in first episode psychosis: The OPUS cohort at 10 year follow-up;S. F. Austin;Schizophrenia Research,2013

4. Relapse prevention and recovery in the treatment of schizophrenia;N. R. Schooler;The Journal of Clinical Psychiatry,2006

5. A Systematic Review and Meta-Analysis of Recovery in Schizophrenia.;E. Jaaskelainen;Schizophrenia Bulletin,2013

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