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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

Determinants of hospital length of stay for people with serious mental illness in England and implications for payment systems: a regression analysis
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 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.
schizophrenia, bipolar disorder, psychosis, serious mental illness, length of stay, hospitalisation, mental health funding, prospective payment, resource use
1472-6963
1-16
Jacobs, Rowena
49686cdf-0222-4e1a-9d81-1914187fcec9
Gutacker, Nils
d2ab100e-25fe-421a-a25e-b935e8bce4a4
Mason, Anne
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Goddard, Maria
06cc3cde-3794-4419-aa74-dad7030ab10a
Gravelle, Hugh
7bded0be-eaaa-4612-b246-5b0b3f132cce
Kendrick, Tony
c697a72c-c698-469d-8ac2-f00df40583e5
Gilbody, Simon
6d135882-a8df-444c-85aa-980dddef45a5
Jacobs, Rowena
49686cdf-0222-4e1a-9d81-1914187fcec9
Gutacker, Nils
d2ab100e-25fe-421a-a25e-b935e8bce4a4
Mason, Anne
f23014c5-0733-4a71-9c3f-2cad48797ca2
Goddard, Maria
06cc3cde-3794-4419-aa74-dad7030ab10a
Gravelle, Hugh
7bded0be-eaaa-4612-b246-5b0b3f132cce
Kendrick, Tony
c697a72c-c698-469d-8ac2-f00df40583e5
Gilbody, Simon
6d135882-a8df-444c-85aa-980dddef45a5

Jacobs, Rowena, Gutacker, Nils, Mason, Anne, Goddard, Maria, Gravelle, Hugh, Kendrick, Tony and Gilbody, Simon (2015) Determinants of hospital length of stay for people with serious mental illness in England and implications for payment systems: a regression analysis. BMC Health Services Research, 15 (1), 1-16. (doi:10.1186/s12913-015-1107-6). (PMID:26424408)

Record type: Article

Abstract

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.

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More information

Accepted/In Press date: 23 September 2015
Published date: 30 September 2015
Keywords: schizophrenia, bipolar disorder, psychosis, serious mental illness, length of stay, hospitalisation, mental health funding, prospective payment, resource use
Organisations: Primary Care & Population Sciences

Identifiers

Local EPrints ID: 383529
URI: http://eprints.soton.ac.uk/id/eprint/383529
ISSN: 1472-6963
PURE UUID: 5d6beb05-5e1c-4769-b407-897cbc48579e
ORCID for Tony Kendrick: ORCID iD orcid.org/0000-0003-1618-9381

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Date deposited: 02 Nov 2015 12:41
Last modified: 15 Mar 2024 02:59

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Contributors

Author: Rowena Jacobs
Author: Nils Gutacker
Author: Anne Mason
Author: Maria Goddard
Author: Hugh Gravelle
Author: Tony Kendrick ORCID iD
Author: Simon Gilbody

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