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.
CITATION STYLE
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
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