Open AccessA prospective cohort study of two predictor models for 30‐day emergency readmission in older patients
Author(s) -
Armitage Michael N.,
Srivastava Vivek,
Allison Benjamin K.,
Williams Marcus V.,
BrandtSarif Michelle,
Lee Geraldine
Publication year - 2021
Publication title -
international journal of clinical practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 98
eISSN - 1742-1241
pISSN - 1368-5031
DOI - 10.1111/ijcp.14478
Subject(s) - medicine , prospective cohort study , cohort , emergency medicine , cohort study , emergency department , medical emergency , psychiatry
Aim To undertake a prospective study of the accuracy of two models (LACE and BOOST) in predicting unplanned hospital readmission in older patients (>75 years). Methods Data were collected from a single centre prospectively on 110 patients over 75 years old admitted to the acute medical unit. Follow‐up was conducted at 30 days. The primary outcome was the c‐statistic for both models. Results The readmission rate was 32.7% and median age 82 years, and both BOOST and LACE scores were significantly higher in those readmitted compared with those who were not. C‐statistics were calculated for both tools with BOOST score 0.667 (95% CI 0.559‐0.775, P = .005) and LACE index 0.685 (95% CI 0.579‐0.792, P = .002). Conclusion In this prospective study, both the BOOST and LACE scores were found to be significant yet poor, predictive models of hospital readmission. Recent hospitalisation (within the previous 6 months) was found to be the most significant contributing factor.