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Assessing the impact of stratification of admission need and intensive support on inpatient admissions for people with intellectual disabilities
Woodrow, Ceri ; Eick, Holly ; Vaughan, Sarah ; Odiyoor, Mahesh
Woodrow, Ceri
Eick, Holly
Vaughan, Sarah
Odiyoor, Mahesh
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2025-12-01
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Abstract
Purpose: This study aims to understand the impact on number of admissions to inpatient services for people with intellectual disability, following the implementation of the Dynamic Support Database-Clinical Support Tool (DSD-CST) and formation of intensive support functions (ISFs). Type of mental health admission was reviewed, and number of admissions avoided ascertained.
Design/methodology/approach: A cohort retrospective study was conducted, using secondary data from three community learning disability teams in Northwest England. Routine secondary data from 2013 to 2023 was used.
Findings: The DSD-CST and ISF model was successful in reducing admissions. Following implementation of the model in 2018, there was a decrease in the number of admissions for all ward types and the length of admission decreased. The DSD-CST data showed the number of people identified as being at risk of admission increased between 2019 and 2023; however, the number of admissions decreased.
Originality/value: As far as authors are aware, this is the only paper offering an evaluation of the combination of ISFs and risk of admission stratification, and the impact this has on admissions to inpatient services for people with an intellectual disability. It evidences a successful model to support the NHS agenda of supporting people in the community where possible.
Citation
Woodrow, C., Eick, H., Vaughan, S., & Odiyoor, M. (2025). Assessing the impact of stratification of admission need and intensive support on inpatient admissions for people with intellectual disabilities. Advances in Mental Health and Intellectual Disabilities, vol(issue), pages. https://doi.org/10.1108/AMHID-08-2025-0034
Publisher
Emerald
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Advances in Mental Health and Intellectual Disabilities
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Article
Language
en
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This author accepted manuscript is deposited under a Creative Commons Attribution Non-commercial 4.0 International (CC BY-NC) licence. This means that anyone may distribute, adapt, and build upon the work for non-commercial purposes, subject to full attribution. If you wish to use this manuscript for commercial purposes, please contact permissions@emerald.com.
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ISSN
2044-1282
EISSN
2044-1290
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