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  3. Simplification of the HOSPITAL score for predicting 30-day readmissions.

Simplification of the HOSPITAL score for predicting 30-day readmissions.

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DOI
10.7892/boris.110660
Publisher DOI
10.1136/bmjqs-2016-006239
PubMed ID
28416652
Abstract
OBJECTIVE

The HOSPITAL score has been widely validated and accurately identifies high-risk patients who may mostly benefit from transition care interventions. Although this score is easy to use, it has the potential to be simplified without impacting its performance. We aimed to validate a simplified version of the HOSPITAL score for predicting patients likely to be readmitted.

DESIGN AND SETTING

Retrospective study in 9 large hospitals across 4 countries, from January through December 2011.

PARTICIPANTS

We included all consecutively discharged medical patients. We excluded patients who died before discharge or were transferred to another acute care facility.

MEASUREMENTS

The primary outcome was any 30-day potentially avoidable readmission. We simplified the score as follows: (1) 'discharge from an oncology division' was replaced by 'cancer diagnosis or discharge from an oncology division'; (2) 'any procedure' was left out; (3) patients were categorised into two risk groups (unlikely and likely to be readmitted). The performance of the simplified HOSPITAL score was evaluated according to its overall accuracy, its discriminatory power and its calibration.

RESULTS

Thirty-day potentially avoidable readmission rate was 9.7% (n=11 307/117 065 patients discharged). Median of the simplified HOSPITAL score was 3 points (IQR 2-5). Overall accuracy was very good with a Brier score of 0.08 and discriminatory power remained good with a C-statistic of 0.69 (95% CI 0.68 to 0.69). The calibration was excellent when comparing the expected with the observed risk in the two risk categories.

CONCLUSIONS

The simplified HOSPITAL score has good performance for predicting 30-day readmission. Prognostic accuracy was similar to the original version, while its use is even easier. This simplified score may provide a good alternative to the original score depending on the setting.
Date Issued
2017-10
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Subjects
Adverse events
•
epidemiology and detection Hospital medicine Risk management Transitions in care
Language(s)
en
Author(s)
Aubert, Carole Elodie  
Universitätsklinik für Allgemeine Innere Medizin  
Schnipper, Jeffrey L
Williams, Mark V
Robinson, Edmondo J
Zimlichman, Eyal
Vasilevskis, Eduard E
Kripalani, Sunil
Metlay, Joshua P
Wallington, Tamara
Fletcher, Grant S
Auerbach, Andrew D
Aujesky, Drahomir  
Clinic of General Internal Medicine  
Donzé, Jacques  
Universitätsklinik für Allgemeine Innere Medizin  
Additional Credits
Clinic of General Internal Medicine  
Journal
BMJ Quality and Safety
Publisher
BMJ Publ. Group
ISSN
2044-5415
Access(Rights)
open.access
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