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Updated: Jul 2, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Experience-based Investigation and Co-design of Psychosis Centred Integrated Care Services for Ethnically Diverse
Kamaldeep Bhui1,2, Doreen Joseph3, Nimra Khan3
1Psychiatry, University of Oxford, Oxford, UK kam.bhui@psych.ox.ac.uk.
Introduction:
Ethnic minorities (also called racialised groups) are more likely to experience severe mental illness (SMI). People with SMI are more likely to experience multimorbidity (MM), making psychosis among racialised groups more likely to lead to MM, poor outcomes, disability and premature mortality.
Methods And Analysis:
This National Institute for Health and Care Research-funded study (151887) seeks to use innovative participatory methods including photovoice and biographical narrative interviews in urban and rural areas of England to assemble experience data. These data will be subjected to polytextual thematic analysis, and alongside pictures and captions, will inform an experienced-based co-design of interventions, the implementation of which will be evaluated. There will be an economic analysis and a process evaluation of the implementation.
Ethics And Dissemination:
This programme of work has received ethical (IRAS 322421; Newcastle North Tyneside Research Ethics Committee 23/NE/0143) and sponsor approval. The findings will be disseminated in galleries showing the creative work, as lay and academic summaries and infographics; as practice briefings for practitioners, commissioners and policy makers; peer-reviewed publications.
Trial Registration Number:
https://www.researchregistry.com/browse-the-registry%23home/registrationdetails/649c08111c037d0027b17d17/.
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