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

Link to article at PubMed

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

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

Authors: Wilding D, Evans K

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.

PMID: 28787034 [PubMed - in process]

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