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A synthetic literature review on the management of emerging treatment resistance in first episode psychosis : can we move towards precision intervention and individualised care?
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Griffiths, Siân Lowri and Birchwood, Max (2020) A synthetic literature review on the management of emerging treatment resistance in first episode psychosis : can we move towards precision intervention and individualised care? Medicina, 56 (12). 638. doi:10.3390/medicina56120638 ISSN 1010-660X.
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WRAP-synthetic-literature-review-management-emerging-treatment-resistance-first-episode-psychosis-Birchwood-2020.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (347Kb) | Preview |
Official URL: http://dx.doi.org/10.3390/medicina56120638
Abstract
Treatment resistance is prevalent in early intervention in psychosis services, and causes a significant burden for the individual. A wide range of variables are shown to contribute to treatment resistance in first episode psychosis (FEP). Heterogeneity in illness course and the complex, multidimensional nature of the concept of recovery calls for an evidence base to better inform practice at an individual level. Current gold standard treatments, adopting a ‘one-size fits all’ approach, may not be addressing the needs of many individuals. This following review will provide an update and critical appraisal of current clinical practices and methodological approaches for understanding, identifying, and managing early treatment resistance in early psychosis. Potential new treatments along with new avenues for research will be discussed. Finally, we will discuss and critique the application and translation of machine learning approaches to aid progression in this area. The move towards ‘big data’ and machine learning holds some prospect for stratifying intervention-based subgroups of individuals. Moving forward, better recognition of early treatment resistance is needed, along with greater sophistication and precision in predicting outcomes, so that effective evidence-based treatments can be appropriately tailored to the individual. Understanding the antecedents and the early trajectory of one’s illness may also be key to understanding the factors that drive illness course.
| Item Type: | Journal Article | ||||||
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| Subjects: | R Medicine > RC Internal medicine R Medicine > RM Therapeutics. Pharmacology |
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| Divisions: | Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Health Sciences Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Health Sciences > Mental Health and Wellbeing Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School |
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| Library of Congress Subject Headings (LCSH): | Psychoses , Psychoses -- Treatment, Clozapine, Cognitive therapy | ||||||
| Journal or Publication Title: | Medicina | ||||||
| Publisher: | MDPI | ||||||
| ISSN: | 1010-660X | ||||||
| Official Date: | 24 November 2020 | ||||||
| Dates: |
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| Volume: | 56 | ||||||
| Number: | 12 | ||||||
| Article Number: | 638 | ||||||
| DOI: | 10.3390/medicina56120638 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||
| Date of first compliant deposit: | 18 January 2021 | ||||||
| Date of first compliant Open Access: | 19 January 2021 | ||||||
| RIOXX Funder/Project Grant: |
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