Abstract
Aim : To undertake a prospective study of the efficacy of two
models (LACE and BOOST) in predicting unplanned hospital readmission.
Methods: Data were collected from a single centre prospectively
over a continuous 30-day period on all patients over 75 years old
admitted to the acute medical unit. The primary outcome was the area
under the curve for both models.
Results: Area under the curve were calculated for both tools
with BOOST score 0.667 (95% CI: 0.559-0.775, p=0.005) and C-statistic
for LACE index 0.685 (95% CI: 0.579-0.792, p=0.002).
Conclusion : In this prospective study, both the BOOST and LACE
scores were found to be significant predictive models of hospital
readmission. Recent hospitalisation was found to be the most significant
contributing factor.
Key Words: Elderly, prediction, readmission