Can we predict Acute Medical readmissions using the BOOST tool? A retrospective case note revi

TY - JOUR

T1 - Can we predict Acute Medical readmissions using the BOOST tool? A retrospective case note revi

AU - Lee, Geraldine A.

AU - Freedman, Daniel

AU - Beddoes, Penelope

AU - Lyness, Emily

AU - Nixon, Imogen

AU - Srivastava, Vivek

PY - 2016

Y1 - 2016

N2 - 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 via a casenote review. 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 was included. Conclusion: The BOOST assessment tool appears appropriate in predicting readmissions however further analysis is required to determine its precision.

AB - 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 via a casenote review. 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 was included. Conclusion: The BOOST assessment tool appears appropriate in predicting readmissions however further analysis is required to determine its precision.

KW - Audit

KW - Hospital discharge

KW - Predictive tool

KW - Readmission

UR - http://www.scopus.com/inward/record.url?scp=85029228529&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85029228529

SN - 1747-4884

VL - 15

SP - 119

EP - 123

JO - C P D Journal. Acute Medicine

JF - C P D Journal. Acute Medicine

IS - 3

ER -