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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

Overview of attention for article published in BMC Health Services Research, September 2015
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Title
Determinants of hospital length of stay for people with serious mental illness in England and implications for payment systems: a regression analysis
Published in
BMC Health Services Research, September 2015
DOI 10.1186/s12913-015-1107-6
Pubmed ID
Authors

Rowena Jacobs, Nils Gutacker, Anne Mason, Maria Goddard, Hugh Gravelle, Tony Kendrick, Simon Gilbody

Abstract

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. 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. 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. 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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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 161 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 12%
Student > Master 19 12%
Student > Bachelor 17 10%
Researcher 16 10%
Student > Postgraduate 10 6%
Other 27 17%
Unknown 53 33%
Readers by discipline Count As %
Medicine and Dentistry 36 22%
Psychology 18 11%
Nursing and Health Professions 8 5%
Economics, Econometrics and Finance 8 5%
Social Sciences 6 4%
Other 26 16%
Unknown 60 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 October 2015.
All research outputs
#16,719,517
of 25,389,532 outputs
Outputs from BMC Health Services Research
#6,137
of 8,639 outputs
Outputs of similar age
#161,882
of 286,114 outputs
Outputs of similar age from BMC Health Services Research
#101
of 137 outputs
Altmetric has tracked 25,389,532 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,639 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 286,114 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.