Real World Implementation of a Transdiagnostic Risk Calculator for the Automatic Detection of Individuals at Risk of Psychosis in Clinical Routine: Study Protocol

Background: Primary indicated prevention in individuals at-risk for psychosis has the potential to improve the outcomes of this disorder. The ability to detect the majority of at-risk individuals is the main barrier toward extending benefits for the lives of many adolescents and young adults. Curren...

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Main Authors: Paolo Fusar-Poli, Dominic Oliver, Giulia Spada, Rashmi Patel, Robert Stewart, Richard Dobson, Philip McGuire
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-03-01
Series:Frontiers in Psychiatry
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fpsyt.2019.00109/full
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author Paolo Fusar-Poli
Paolo Fusar-Poli
Paolo Fusar-Poli
Paolo Fusar-Poli
Dominic Oliver
Giulia Spada
Rashmi Patel
Robert Stewart
Robert Stewart
Richard Dobson
Richard Dobson
Richard Dobson
Richard Dobson
Philip McGuire
Philip McGuire
author_facet Paolo Fusar-Poli
Paolo Fusar-Poli
Paolo Fusar-Poli
Paolo Fusar-Poli
Dominic Oliver
Giulia Spada
Rashmi Patel
Robert Stewart
Robert Stewart
Richard Dobson
Richard Dobson
Richard Dobson
Richard Dobson
Philip McGuire
Philip McGuire
author_sort Paolo Fusar-Poli
collection DOAJ
description Background: Primary indicated prevention in individuals at-risk for psychosis has the potential to improve the outcomes of this disorder. The ability to detect the majority of at-risk individuals is the main barrier toward extending benefits for the lives of many adolescents and young adults. Current detection strategies are highly inefficient. Only 5% (standalone specialized early detection services) to 12% (youth mental health services) of individuals who will develop a first psychotic disorder can be detected at the time of their at-risk stage. To overcome these challenges a pragmatic, clinically-based, individualized, transdiagnostic risk calculator has been developed to detect individuals at-risk of psychosis in secondary mental health care at scale. This calculator has been externally validated and has demonstrated good prognostic performance. However, it is not known whether it can be used in the real world clinical routine. For example, clinicians may not be willing to adhere to the recommendations made by the transdiagnostic risk calculator. Implementation studies are needed to address pragmatic challenges relating to the real world use of the transdiagnostic risk calculator. The aim of the current study is to provide in-vitro and in-vivo feasibility data to support the implementation of the transdiagnostic risk calculator in clinical routine.Method: This is a study which comprises of two subsequent phases: an in-vitro phase of 1 month and an in-vivo phase of 11 months. The in-vitro phase aims at developing and integrating the transdiagnostic risk calculator in the local electronic health register (primary outcome). The in-vivo phase aims at addressing the clinicians' adherence to the recommendations made by the transdiagnostic risk calculator (primary outcome) and other secondary feasibility parameters that are necessary to estimate the resources needed for its implementation.Discussion: This is the first implementation study for risk prediction models in individuals at-risk for psychosis. Ultimately, successful implementation is the true measure of a prediction model's utility. Therefore, the overall translational deliverable of the current study would be to extend the benefits of primary indicated prevention and improve outcomes of first episode psychosis. This may produce significant social benefits for many adolescents and young adults and their families.
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spelling doaj.art-14d790eea0a340b18def63a9905c908f2022-12-21T18:39:29ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402019-03-011010.3389/fpsyt.2019.00109442490Real World Implementation of a Transdiagnostic Risk Calculator for the Automatic Detection of Individuals at Risk of Psychosis in Clinical Routine: Study ProtocolPaolo Fusar-Poli0Paolo Fusar-Poli1Paolo Fusar-Poli2Paolo Fusar-Poli3Dominic Oliver4Giulia Spada5Rashmi Patel6Robert Stewart7Robert Stewart8Richard Dobson9Richard Dobson10Richard Dobson11Richard Dobson12Philip McGuire13Philip McGuire14Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United KingdomOASIS Service, South London and Maudsley National Health Service (NHS) Foundation Trust, London, United KingdomDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, ItalyNational Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Foundation Trust, London, United KingdomEarly Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United KingdomEarly Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United KingdomDepartment of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United KingdomNational Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Foundation Trust, London, United KingdomInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United KingdomNational Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Foundation Trust, London, United KingdomInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United KingdomInstitute of Health Informatics Research, University College London, London, United KingdomHealth Data Research UK London, University College London, London, United KingdomNational Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley National Health Service (NHS) Foundation Trust, London, United KingdomDepartment of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United KingdomBackground: Primary indicated prevention in individuals at-risk for psychosis has the potential to improve the outcomes of this disorder. The ability to detect the majority of at-risk individuals is the main barrier toward extending benefits for the lives of many adolescents and young adults. Current detection strategies are highly inefficient. Only 5% (standalone specialized early detection services) to 12% (youth mental health services) of individuals who will develop a first psychotic disorder can be detected at the time of their at-risk stage. To overcome these challenges a pragmatic, clinically-based, individualized, transdiagnostic risk calculator has been developed to detect individuals at-risk of psychosis in secondary mental health care at scale. This calculator has been externally validated and has demonstrated good prognostic performance. However, it is not known whether it can be used in the real world clinical routine. For example, clinicians may not be willing to adhere to the recommendations made by the transdiagnostic risk calculator. Implementation studies are needed to address pragmatic challenges relating to the real world use of the transdiagnostic risk calculator. The aim of the current study is to provide in-vitro and in-vivo feasibility data to support the implementation of the transdiagnostic risk calculator in clinical routine.Method: This is a study which comprises of two subsequent phases: an in-vitro phase of 1 month and an in-vivo phase of 11 months. The in-vitro phase aims at developing and integrating the transdiagnostic risk calculator in the local electronic health register (primary outcome). The in-vivo phase aims at addressing the clinicians' adherence to the recommendations made by the transdiagnostic risk calculator (primary outcome) and other secondary feasibility parameters that are necessary to estimate the resources needed for its implementation.Discussion: This is the first implementation study for risk prediction models in individuals at-risk for psychosis. Ultimately, successful implementation is the true measure of a prediction model's utility. Therefore, the overall translational deliverable of the current study would be to extend the benefits of primary indicated prevention and improve outcomes of first episode psychosis. This may produce significant social benefits for many adolescents and young adults and their families.https://www.frontiersin.org/article/10.3389/fpsyt.2019.00109/fullpsychosisschizophreniarisktransdiagnosticprevention
spellingShingle Paolo Fusar-Poli
Paolo Fusar-Poli
Paolo Fusar-Poli
Paolo Fusar-Poli
Dominic Oliver
Giulia Spada
Rashmi Patel
Robert Stewart
Robert Stewart
Richard Dobson
Richard Dobson
Richard Dobson
Richard Dobson
Philip McGuire
Philip McGuire
Real World Implementation of a Transdiagnostic Risk Calculator for the Automatic Detection of Individuals at Risk of Psychosis in Clinical Routine: Study Protocol
Frontiers in Psychiatry
psychosis
schizophrenia
risk
transdiagnostic
prevention
title Real World Implementation of a Transdiagnostic Risk Calculator for the Automatic Detection of Individuals at Risk of Psychosis in Clinical Routine: Study Protocol
title_full Real World Implementation of a Transdiagnostic Risk Calculator for the Automatic Detection of Individuals at Risk of Psychosis in Clinical Routine: Study Protocol
title_fullStr Real World Implementation of a Transdiagnostic Risk Calculator for the Automatic Detection of Individuals at Risk of Psychosis in Clinical Routine: Study Protocol
title_full_unstemmed Real World Implementation of a Transdiagnostic Risk Calculator for the Automatic Detection of Individuals at Risk of Psychosis in Clinical Routine: Study Protocol
title_short Real World Implementation of a Transdiagnostic Risk Calculator for the Automatic Detection of Individuals at Risk of Psychosis in Clinical Routine: Study Protocol
title_sort real world implementation of a transdiagnostic risk calculator for the automatic detection of individuals at risk of psychosis in clinical routine study protocol
topic psychosis
schizophrenia
risk
transdiagnostic
prevention
url https://www.frontiersin.org/article/10.3389/fpsyt.2019.00109/full
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