Assessing the impact of stratification of admission need and intensive support on inpatient admissions for people with intellectual disabilities

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.

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Publication Details

Journal
Advances in Mental Health and Intellectual Disabilities
Published
2025-11-28
DOI
https://doi.org/10.1108/amhid-08-2025-0034
Primary Topic
Down syndrome and intellectual disability research
Type
article
Field-Weighted Citation Impact
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article

Assessing the impact of stratification of admission need and intensive support on inpatient admissions for people with intellectual disabilities

Ceri Woodrow, Sarah Vaughan, Mahesh Odiyoor, Holly Eick
Advances in Mental Health and Intellectual Disabilities
Down syndrome and intellectual disability research
article

Assessing the impact of stratification of admission need and intensive support on inpatient admissions for people with intellectual disabilities

Ceri Woodrow, Sarah Vaughan, Mahesh Odiyoor, Holly Eick
article en

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.

Advances in Mental Health and Intellectual Disabilities
University of Chester (GB), Cheshire West and Chester (GB)
Openalex Percentile: Top 52%
Down syndrome and intellectual disability research
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Assessing the impact of stratification of admission need and intensive support on inpatient admissions for people with intellectual disabilities — Ceri Woodrow, Sarah Vaughan, et al. · Advances in Mental Health and Intellectual Disabilities (2025) | TGRS Research Map | TGRS