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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Jun 17, 2019
Date Accepted: Aug 27, 2019

The final, peer-reviewed published version of this preprint can be found here:

Early Signs Monitoring to Prevent Relapse in Psychosis and Promote Well-Being, Engagement, and Recovery: Protocol for a Feasibility Cluster Randomized Controlled Trial Harnessing Mobile Phone Technology Blended With Peer Support

Gumley A, Bradstreet S, Ainsworth J, Allan S, Alvarez-Jiminez M, Artis J, Beattie L, Bell I, Birchwood M, Briggs A, Bucci S, Emily C, Clark A, Cotton SM, Engel L, French P, Lederman R, Lewis S, Machin M, MacLennan G, Matrunola C, McLeod H, McMeekin N, Mihalopolous C, Morton E, Norrie J, Reilly F, Schwannauer M, Singh SP, Smith L, Sundrum S, Thomson D, Whitehill H, Wilson-Kay A, Williams C, Yung A, Farhall J, Gleeson J

Early Signs Monitoring to Prevent Relapse in Psychosis and Promote Well-Being, Engagement, and Recovery: Protocol for a Feasibility Cluster Randomized Controlled Trial Harnessing Mobile Phone Technology Blended With Peer Support

JMIR Res Protoc 2020;9(1):e15058

DOI: 10.2196/15058

PMID: 31917372

PMCID: 6996736

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Early signs Monitoring to Prevent relapse in psychosis and prOmote Wellbeing, Engagement and Recovery (EMPOWER): Protocol for a feasibility cluster randomised controlled trial harnessing smartphone technology

  • Andrew Gumley; 
  • Simon Bradstreet; 
  • John Ainsworth; 
  • Stephanie Allan; 
  • Mario Alvarez-Jiminez; 
  • Jayne Artis; 
  • Louise Beattie; 
  • Imogen Bell; 
  • Max Birchwood; 
  • Andrew Briggs; 
  • Sandra Bucci; 
  • Castagnini Emily; 
  • Andrea Clark; 
  • Susan Maree Cotton; 
  • Lidia Engel; 
  • Paul French; 
  • Reeva Lederman; 
  • Shon Lewis; 
  • Matthew Machin; 
  • Graeme MacLennan; 
  • Claire Matrunola; 
  • Hamish McLeod; 
  • Nicola McMeekin; 
  • Cathy Mihalopolous; 
  • Emma Morton; 
  • John Norrie; 
  • Frank Reilly; 
  • Matthias Schwannauer; 
  • Swaran P Singh; 
  • Lesley Smith; 
  • Suresh Sundrum; 
  • David Thomson; 
  • Helen Whitehill; 
  • Alison Wilson-Kay; 
  • Christopher Williams; 
  • Alison Yung; 
  • John Farhall; 
  • John Gleeson

ABSTRACT

Background:

Relapse in schizophrenia is a major cause of distress and disability and is predicted by changes in symptoms such as anxiety, depression and suspiciousness (early warning signs, EWS). These can be used as the basis for timely interventions to prevent relapse. However, there is considerable uncertainty regarding the implementation of EWS interventions.

Objective:

This study was designed to establish the feasibility of conducting a definitive Cluster Randomised Controlled Trial (cRCT) comparing EMPOWER against Treatment As Usual (TAU). Our primary outcomes are establishing the parameters of the feasibility, acceptability, usability, safety and outcome signals of a Digital Health Intervention as an adjunct to usual care that is deliverable in the UK National Health Service (NHS) and Australian community mental health service settings. We will also assess the feasibility of candidate primary, secondary outcomes and mechanistic outcomes for a definitive trial.

Methods:

We will randomise Community Mental Health Services (CMHS) to EMPOWER or to TAU. We aim to recruit up to 120 service user participants from eight CMHS and follow them for up to 12-months. Eligible service users will be: (i) aged 16+; (ii) in contact with local CMHS; (iii) have either been admitted to a psychiatric in-patient service or received crisis intervention at least once in the previous two years for a relapse; (iv) have an ICD10 diagnosis of a Schizophrenia-related disorder. Service users will also be invited to nominate a carer to participate. We will identify the feasibility of the main trial in terms of recruitment and retention to the study and the acceptability, usability, safety and outcome signals of the EMPOWER intervention.

Results:

Recruitment to the trial began in January 2018 and follow-up of participants will be completed in July 2019. Data collection is continuing. The database lock is anticipated in July 2019, followed by analysis and disclosing of group allocation. The database has not been locked and trial allocation concealment remains intact.

Conclusions:

The knowledge gained from the study will inform the design of a definitive trial including finalising the delivery of our Digital Health Intervention, sample size estimation, methods to ensure successful identification, consent, randomisation and follow-up of participants and the primary and secondary outcomes. The trial will also inform the final health economic model to be applied in the main trial. Clinical Trial: ISRCTN99559262


 Citation

Please cite as:

Gumley A, Bradstreet S, Ainsworth J, Allan S, Alvarez-Jiminez M, Artis J, Beattie L, Bell I, Birchwood M, Briggs A, Bucci S, Emily C, Clark A, Cotton SM, Engel L, French P, Lederman R, Lewis S, Machin M, MacLennan G, Matrunola C, McLeod H, McMeekin N, Mihalopolous C, Morton E, Norrie J, Reilly F, Schwannauer M, Singh SP, Smith L, Sundrum S, Thomson D, Whitehill H, Wilson-Kay A, Williams C, Yung A, Farhall J, Gleeson J

Early Signs Monitoring to Prevent Relapse in Psychosis and Promote Well-Being, Engagement, and Recovery: Protocol for a Feasibility Cluster Randomized Controlled Trial Harnessing Mobile Phone Technology Blended With Peer Support

JMIR Res Protoc 2020;9(1):e15058

DOI: 10.2196/15058

PMID: 31917372

PMCID: 6996736

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