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Determinants of hospital length of stay for people with serious mental illness in England and implications for payment systems: a regression analysis

BACKGROUND: Serious mental illness (SMI), which encompasses a set of chronic conditions such as schizophrenia, bipolar disorder and other psychoses, accounts for 3.4 m (7 %) total bed days in the English NHS. The introduction of prospective payment to reimburse hospitals makes an understanding of th...

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Autores principales: Jacobs, Rowena, Gutacker, Nils, Mason, Anne, Goddard, Maria, Gravelle, Hugh, Kendrick, Tony, Gilbody, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4590310/
https://www.ncbi.nlm.nih.gov/pubmed/26424408
http://dx.doi.org/10.1186/s12913-015-1107-6
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author Jacobs, Rowena
Gutacker, Nils
Mason, Anne
Goddard, Maria
Gravelle, Hugh
Kendrick, Tony
Gilbody, Simon
author_facet Jacobs, Rowena
Gutacker, Nils
Mason, Anne
Goddard, Maria
Gravelle, Hugh
Kendrick, Tony
Gilbody, Simon
author_sort Jacobs, Rowena
collection PubMed
description BACKGROUND: Serious mental illness (SMI), which encompasses a set of chronic conditions such as schizophrenia, bipolar disorder and other psychoses, accounts for 3.4 m (7 %) total bed days in the English NHS. The introduction of prospective payment to reimburse hospitals makes an understanding of the key drivers of length of stay (LOS) imperative. Existing evidence, based on mainly small scale and cross-sectional studies, is mixed. Our study is the first to use large-scale national routine data to track English hospitals’ LOS for patients with a main diagnosis of SMI over time to examine the patient and local area factors influencing LOS and quantify the provider level effects to draw out the implications for payment systems. METHODS: We analysed variation in LOS for all SMI admissions to English hospitals from 2006 to 2010 using Hospital Episodes Statistics (HES). We considered patients with a LOS of up to 180 days and estimated Poisson regression models with hospital fixed effects, separately for admissions with one of three main diagnoses: schizophrenia; psychotic and schizoaffective disorder; and bipolar affective disorder. We analysed the independent contribution of potential determinants of LOS including clinical and socioeconomic characteristics of the patient, access to and quality of primary care, and local area characteristics. We examined the degree of unexplained variation in provider LOS. RESULTS: Most risk factors did not have a differential effect on LOS for different diagnostic sub-groups, however we did find some heterogeneity in the effects. Shorter LOS in the pooled model was associated with co-morbid substance or alcohol misuse (4 days), and personality disorder (8 days). Longer LOS was associated with older age (up to 19 days), black ethnicity (4 days), and formal detention (16 days). Gender was not a significant predictor. Patients who self-discharged had shorter LOS (20 days). No association was found between higher primary care quality and LOS. We found large differences between providers in unexplained variation in LOS. CONCLUSIONS: By identifying key determinants of LOS our results contribute to a better understanding of the implications of case-mix to ensure prospective payment systems reflect accurately the resource use within sub-groups of patients with SMI. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-015-1107-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-45903102015-10-02 Determinants of hospital length of stay for people with serious mental illness in England and implications for payment systems: a regression analysis Jacobs, Rowena Gutacker, Nils Mason, Anne Goddard, Maria Gravelle, Hugh Kendrick, Tony Gilbody, Simon BMC Health Serv Res Research Article BACKGROUND: Serious mental illness (SMI), which encompasses a set of chronic conditions such as schizophrenia, bipolar disorder and other psychoses, accounts for 3.4 m (7 %) total bed days in the English NHS. The introduction of prospective payment to reimburse hospitals makes an understanding of the key drivers of length of stay (LOS) imperative. Existing evidence, based on mainly small scale and cross-sectional studies, is mixed. Our study is the first to use large-scale national routine data to track English hospitals’ LOS for patients with a main diagnosis of SMI over time to examine the patient and local area factors influencing LOS and quantify the provider level effects to draw out the implications for payment systems. METHODS: We analysed variation in LOS for all SMI admissions to English hospitals from 2006 to 2010 using Hospital Episodes Statistics (HES). We considered patients with a LOS of up to 180 days and estimated Poisson regression models with hospital fixed effects, separately for admissions with one of three main diagnoses: schizophrenia; psychotic and schizoaffective disorder; and bipolar affective disorder. We analysed the independent contribution of potential determinants of LOS including clinical and socioeconomic characteristics of the patient, access to and quality of primary care, and local area characteristics. We examined the degree of unexplained variation in provider LOS. RESULTS: Most risk factors did not have a differential effect on LOS for different diagnostic sub-groups, however we did find some heterogeneity in the effects. Shorter LOS in the pooled model was associated with co-morbid substance or alcohol misuse (4 days), and personality disorder (8 days). Longer LOS was associated with older age (up to 19 days), black ethnicity (4 days), and formal detention (16 days). Gender was not a significant predictor. Patients who self-discharged had shorter LOS (20 days). No association was found between higher primary care quality and LOS. We found large differences between providers in unexplained variation in LOS. CONCLUSIONS: By identifying key determinants of LOS our results contribute to a better understanding of the implications of case-mix to ensure prospective payment systems reflect accurately the resource use within sub-groups of patients with SMI. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-015-1107-6) contains supplementary material, which is available to authorized users. BioMed Central 2015-09-30 /pmc/articles/PMC4590310/ /pubmed/26424408 http://dx.doi.org/10.1186/s12913-015-1107-6 Text en © Jacobs et al. 2015 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
Jacobs, Rowena
Gutacker, Nils
Mason, Anne
Goddard, Maria
Gravelle, Hugh
Kendrick, Tony
Gilbody, Simon
Determinants of hospital length of stay for people with serious mental illness in England and implications for payment systems: a regression analysis
title Determinants of hospital length of stay for people with serious mental illness in England and implications for payment systems: a regression analysis
title_full Determinants of hospital length of stay for people with serious mental illness in England and implications for payment systems: a regression analysis
title_fullStr Determinants of hospital length of stay for people with serious mental illness in England and implications for payment systems: a regression analysis
title_full_unstemmed Determinants of hospital length of stay for people with serious mental illness in England and implications for payment systems: a regression analysis
title_short Determinants of hospital length of stay for people with serious mental illness in England and implications for payment systems: a regression analysis
title_sort determinants of hospital length of stay for people with serious mental illness in england and implications for payment systems: a regression analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4590310/
https://www.ncbi.nlm.nih.gov/pubmed/26424408
http://dx.doi.org/10.1186/s12913-015-1107-6
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