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Predictors of quality of care in mental health supported accommodation services in England: a multiple regression modelling study

BACKGROUND: Specialist mental health supported accommodation services are a key component to a graduated level of care from hospital to independently living in the community for people with complex, longer term mental health problems. However, they come at a high cost and there has been a lack of re...

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Autores principales: Dalton-Locke, Christian, Attard, Rosie, Killaspy, Helen, White, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6195958/
https://www.ncbi.nlm.nih.gov/pubmed/30342501
http://dx.doi.org/10.1186/s12888-018-1912-7
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author Dalton-Locke, Christian
Attard, Rosie
Killaspy, Helen
White, Sarah
author_facet Dalton-Locke, Christian
Attard, Rosie
Killaspy, Helen
White, Sarah
author_sort Dalton-Locke, Christian
collection PubMed
description BACKGROUND: Specialist mental health supported accommodation services are a key component to a graduated level of care from hospital to independently living in the community for people with complex, longer term mental health problems. However, they come at a high cost and there has been a lack of research on the quality of these services. The QuEST (Quality and Effectiveness of Supported tenancies) study, a five-year programme of research funded by the National Institute for Health Research, aimed to address this. It included the development of the first standardised quality assessment tool for supported accommodation services, the QuIRC-SA (Quality Indicator for Rehabilitative Care – Supported Accommodation). Using data collected from the QuIRC-SA, we aimed to identify potential service characteristics that were associated with quality of care. METHODS: Data collected from QuIRC-SAs with 150 individual services in England (28 residential care, 87 supported housing and 35 floating outreach) from four different sources were analysed using multiple regression modelling to investigate associations between service characteristics (local authority area index score, total beds/spaces, staffing intensity, percentage of male service users and service user ability) and areas of quality of care (Living Environment, Therapeutic Environment, Treatments and Interventions, Self-Management and Autonomy, Social Interface, Human Rights and Recovery Based Practice). RESULTS: The local authority area in which the service is located, the service size (number of beds/places) and the usual expected length of stay were each negatively associated with up to six of the seven QuIRC-SA domains. Staffing intensity was positively associated with two domains (Therapeutic Environment and Treatments and Interventions) and negatively associated with one (Human Rights). The percentage of male service users was positively associated with one domain (Treatments and Interventions) and service user ability was not associated with any of the domains. CONCLUSIONS: This study identified service characteristics associated with quality of care in specialist mental health supported accommodation services that can be used in the design and specification of services.
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spelling pubmed-61959582018-10-30 Predictors of quality of care in mental health supported accommodation services in England: a multiple regression modelling study Dalton-Locke, Christian Attard, Rosie Killaspy, Helen White, Sarah BMC Psychiatry Research Article BACKGROUND: Specialist mental health supported accommodation services are a key component to a graduated level of care from hospital to independently living in the community for people with complex, longer term mental health problems. However, they come at a high cost and there has been a lack of research on the quality of these services. The QuEST (Quality and Effectiveness of Supported tenancies) study, a five-year programme of research funded by the National Institute for Health Research, aimed to address this. It included the development of the first standardised quality assessment tool for supported accommodation services, the QuIRC-SA (Quality Indicator for Rehabilitative Care – Supported Accommodation). Using data collected from the QuIRC-SA, we aimed to identify potential service characteristics that were associated with quality of care. METHODS: Data collected from QuIRC-SAs with 150 individual services in England (28 residential care, 87 supported housing and 35 floating outreach) from four different sources were analysed using multiple regression modelling to investigate associations between service characteristics (local authority area index score, total beds/spaces, staffing intensity, percentage of male service users and service user ability) and areas of quality of care (Living Environment, Therapeutic Environment, Treatments and Interventions, Self-Management and Autonomy, Social Interface, Human Rights and Recovery Based Practice). RESULTS: The local authority area in which the service is located, the service size (number of beds/places) and the usual expected length of stay were each negatively associated with up to six of the seven QuIRC-SA domains. Staffing intensity was positively associated with two domains (Therapeutic Environment and Treatments and Interventions) and negatively associated with one (Human Rights). The percentage of male service users was positively associated with one domain (Treatments and Interventions) and service user ability was not associated with any of the domains. CONCLUSIONS: This study identified service characteristics associated with quality of care in specialist mental health supported accommodation services that can be used in the design and specification of services. BioMed Central 2018-10-20 /pmc/articles/PMC6195958/ /pubmed/30342501 http://dx.doi.org/10.1186/s12888-018-1912-7 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Dalton-Locke, Christian
Attard, Rosie
Killaspy, Helen
White, Sarah
Predictors of quality of care in mental health supported accommodation services in England: a multiple regression modelling study
title Predictors of quality of care in mental health supported accommodation services in England: a multiple regression modelling study
title_full Predictors of quality of care in mental health supported accommodation services in England: a multiple regression modelling study
title_fullStr Predictors of quality of care in mental health supported accommodation services in England: a multiple regression modelling study
title_full_unstemmed Predictors of quality of care in mental health supported accommodation services in England: a multiple regression modelling study
title_short Predictors of quality of care in mental health supported accommodation services in England: a multiple regression modelling study
title_sort predictors of quality of care in mental health supported accommodation services in england: a multiple regression modelling study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6195958/
https://www.ncbi.nlm.nih.gov/pubmed/30342501
http://dx.doi.org/10.1186/s12888-018-1912-7
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