Predicting length of stay for acute medical admissions using the ALICE score: a simple bedside tool

Acute Med. 2017;16(2):60-64.

Abstract

Background: Early identification of patients likely to have a short admission permits best use of limited resources to facilitate rapid discharge where possible. The ALICE score is a simple bedside tool developed in one hospital as a decision aid. This study sought to confirm its widespread applicability.

Method: Retrospective review of 250 consecutive admissions at five acute hospitals. Clinical records were reviewed for a total of 1003 patients. ALICE score was calculated for each patient and compared to LoS data.

Results: There was a statistically significant positive correlation between rising ALICE scores and increasing length of stay irrespective of final diagnoses.

Conclusion: The ALICE score provides a simple bedside tool to predict length of stay.

Publication types

  • Comparative Study
  • Multicenter Study

MeSH terms

  • Emergency Medical Services / statistics & numerical data*
  • Hospitalization / statistics & numerical data
  • Hospitals / statistics & numerical data
  • Humans
  • Internal Medicine / statistics & numerical data*
  • Length of Stay / statistics & numerical data*
  • Patient Admission / statistics & numerical data*
  • Patient Discharge / statistics & numerical data*
  • Predictive Value of Tests
  • Retrospective Studies
  • Risk Assessment
  • Risk Factors
  • Severity of Illness Index
  • United Kingdom / epidemiology