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.
| Original language | English |
|---|---|
| Pages (from-to) | 119-123 |
| Number of pages | 5 |
| Journal | Acute Medicine |
| Volume | 15 |
| Issue number | 3 |
| Publication status | Published - 2016 |
| Externally published | Yes |
Keywords
- Audit
- Hospital discharge
- Predictive tool
- Readmission
Fingerprint
Dive into the research topics of 'Can we predict Acute Medical readmissions using the BOOST tool? A retrospective case note revi'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver