Prospective validation and adaptation of the HOSPITAL score to predict high risk of unplanned readmission of medical patients.

Aubert, Carole Elodie; Folly, Antoine; Mancinetti, Marco; Hayoz, Daniel; Donzé, Jacques (2016). Prospective validation and adaptation of the HOSPITAL score to predict high risk of unplanned readmission of medical patients. Swiss medical weekly, 146, w14335. EMH Schweizerischer Ärzteverlag 10.4414/smw.2016.14335

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PRINCIPLES The HOSPITAL score is a simple prediction model that accurately identifies patients at high risk of readmission and showed good performance in an international multicentre retrospective study. We aimed to demonstrate prospectively its accuracy to predict 30-day unplanned readmission and death. METHODS We prospectively screened all consecutive patients aged ≥50 years admitted to the department of general internal medicine of a large community hospital in Switzerland. We excluded patients who refused to give consent, who died during hospitalisation, or who were transferred to another acute care, rehabilitation or palliative care facility. The primary outcome was the first unplanned readmission or death within 30 days after discharge. Some of the predictors of the original score (discharge from an oncology service and length of stay) were adapted according to the setting for practical reasons, before the start of patient inclusion. We also assessed a simplified version of the score, without the variable "any procedure performed during hospitalisation". The performance of the score was evaluated according to its overall accuracy (Brier score), its discriminatory power (C-statistic), and its calibration (Hosmer-Lemeshow goodness-of-fit test). RESULTS Among the 346 included patients, 40 (11.6%) had a 30-day unplanned readmission or death. The HOSPITAL score showed very good accuracy (Brier score 0.10), good discriminatory power (C-statistic 0.70, 95% confidence interval [CI] 0.62-0.79), and an excellent calibration (p = 0.77). Patients were classified into three risk categories for the primary outcome: low (59%), intermediate (20.8%) and high risk (20.2%). The estimated risks of unplanned readmission/death for each category were 8.2%, 11.3% and 21.6%, respectively. The simplified score showed the same performance, with a Brier score of 0.10, a C-statistic of 0.70 (95% CI 0.61-0.79), and a goodness-of-fit statistic of 0.40. CONCLUSIONS The HOSPITAL score prospectively identified patients at high risk of 30-day unplanned readmission or death with good performance in medical patients in Switzerland. Its simplicity and good performance make it an easy-to-use tool to target patients who might most benefit from intensive transitional care interventions.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of General Internal Medicine (DAIM) > Clinic of General Internal Medicine

UniBE Contributor:

Aubert, Carole Elodie and Donzé, Jacques

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1424-7860

Publisher:

EMH Schweizerischer Ärzteverlag

Language:

English

Submitter:

Jacques Donzé

Date Deposited:

10 May 2017 12:36

Last Modified:

14 May 2017 02:16

Publisher DOI:

10.4414/smw.2016.14335

PubMed ID:

27497141

BORIS DOI:

10.7892/boris.94659

URI:

https://boris.unibe.ch/id/eprint/94659

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