Your browser doesn't support javascript.
loading
Digital smartphone intervention to recognise and manage early warning signs in schizophrenia to prevent relapse: the EMPOWER feasibility cluster RCT.
Gumley, Andrew I; Bradstreet, Simon; Ainsworth, John; Allan, Stephanie; Alvarez-Jimenez, Mario; Birchwood, Maximillian; Briggs, Andrew; Bucci, Sandra; Cotton, Sue; Engel, Lidia; French, Paul; Lederman, Reeva; Lewis, Shôn; Machin, Matthew; MacLennan, Graeme; McLeod, Hamish; McMeekin, Nicola; Mihalopoulos, Cathy; Morton, Emma; Norrie, John; Reilly, Frank; Schwannauer, Matthias; Singh, Swaran P; Sundram, Suresh; Thompson, Andrew; Williams, Chris; Yung, Alison; Aucott, Lorna; Farhall, John; Gleeson, John.
Affiliation
  • Gumley AI; Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
  • Bradstreet S; Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
  • Ainsworth J; Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
  • Allan S; Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
  • Alvarez-Jimenez M; Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia.
  • Birchwood M; Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia.
  • Briggs A; Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK.
  • Bucci S; Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK.
  • Cotton S; Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
  • Engel L; Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK.
  • French P; Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia.
  • Lederman R; School of Health and Social Development, Deakin University, Melbourne, VIC, Australia.
  • Lewis S; Department of Nursing, Manchester Metropolitan University, Manchester, UK.
  • Machin M; School of Computing and Information Systems, Melbourne School of Engineering, University of Melbourne, Melbourne, VIC, Australia.
  • MacLennan G; Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
  • McLeod H; Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK.
  • McMeekin N; Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
  • Mihalopoulos C; Health Services Research Unit, University of Aberdeen, Aberdeen, UK.
  • Morton E; Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
  • Norrie J; Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
  • Reilly F; School of Health and Social Development, Deakin University, Melbourne, VIC, Australia.
  • Schwannauer M; Department of Psychiatry, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
  • Singh SP; Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Sundram S; Scottish Recovery Network, Glasgow, UK.
  • Thompson A; School of Health in Social Science, University of Edinburgh, Edinburgh, UK.
  • Williams C; Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK.
  • Yung A; Department of Psychiatry, Monash University, Melbourne, VIC, Australia.
  • Aucott L; Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia.
  • Farhall J; Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK.
  • Gleeson J; Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Health Technol Assess ; 26(27): 1-174, 2022 05.
Article in En | MEDLINE | ID: mdl-35639493
ABSTRACT
WHAT WAS THE PROBLEM?: Relapse is a considerable problem for people with a diagnosis of schizophrenia. Relapse can be predicted by early warning signs that are unique to the person. They include withdrawal, fear and paranoia. WHAT WAS THE QUESTION?: Is it possible to investigate the effectiveness of an intervention to recognise and promptly manage early warning signs of relapse in schizophrenia with the aim of preventing relapse? WHAT DID WE DO?: We spoke with 88 mental health staff, 40 carers and 21 service users before we designed a system that used a mobile phone to help people monitor early warning signs. We included peer support to help people using the system reflect on their experiences. We hoped the overall system, called EMPOWER, would help people to be more in charge of their mental health. After consenting 86 people to the study, we were able to randomly assign 73 people either to use the EMPOWER system (42 people) or to receive their normal treatment alone (31 people). We used research measures over 1 year to help us better understand people's experiences. We also involved carers (for example family or friends) and mental health service providers in the research. WHAT DID WE FIND?: We found that it was possible to recruit people to the study and to gather research data. We also found that people used the EMPOWER system and found it acceptable. We found that those who used EMPOWER had a lower rate of relapse over 12 months than people who did not. They were also less likely to be fearful of relapse. We found that EMPOWER was likely to be cost-effective. WHAT DOES THIS MEAN?: This means that a study to investigate the effectiveness of a system to recognise and respond to early warning signs of relapse in schizophrenia is possible.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Psychotic Disorders / Schizophrenia Type of study: Clinical_trials / Diagnostic_studies / Etiology_studies / Health_technology_assessment / Prognostic_studies Aspects: Patient_preference Limits: Humans Language: En Journal: Health Technol Assess Journal subject: PESQUISA EM SERVICOS DE SAUDE / TECNOLOGIA MEDICA Year: 2022 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Psychotic Disorders / Schizophrenia Type of study: Clinical_trials / Diagnostic_studies / Etiology_studies / Health_technology_assessment / Prognostic_studies Aspects: Patient_preference Limits: Humans Language: En Journal: Health Technol Assess Journal subject: PESQUISA EM SERVICOS DE SAUDE / TECNOLOGIA MEDICA Year: 2022 Document type: Article Affiliation country: Country of publication: