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

3Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.

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 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.

Cite

CITATION STYLE

APA

Lee, G. A., Freedman, D., Beddoes, P., Lyness, E., Nixon, I., & Srivastava, V. (2016). Can we predict Acute Medical readmissions using the BOOST tool? A retrospective case note revi. Acute Medicine, 15(3), 119–123. https://doi.org/10.52964/amja.0621

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free