Can we predict Acute Medical readmissions using the BOOST tool?

D Freedman, E Lyness, Geraldine Lee, I Nixon , P Beddoes , V Srivastava

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
67 Downloads (Pure)

Abstract

Background: Readmissions within 30-days of hospital discharge are a problem. The aim was to determine if the Better Outcomes for Older Adults through Safe Transitions (BOOST) risk assessment tool was applicable within the UK.
Methods: Patients over 65 readmitted were identified retrospectively. BOOST assessment was applied with 1 point for each risk factor.
Results: 324 patients were readmitted (mean age 77 years) with a median of 7 days between discharge and readmission. The median BOOST score was 3 (IQR 2-4) with polypharmacy evident in 88% and prior hospitalisation in 70%. The tool correctly predicted 90% of readmissions using two or more risk factors and 99.1% if one risk factor included.
Conclusion: The BOOST assessment tool appears appropriate in predicting readmissions.
Original languageEnglish
Pages (from-to)119-123
JournalC P D Journal. Acute Medicine
Volume15
Issue number3
Publication statusPublished - 1 Nov 2016

Keywords

  • Readmission, audit, hospital discharge, predictive tool

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