• Ethan G Brown, S Andrew Josephson, Noriko Anderson, Mary Reid, Melissa Lee, and Vanja C Douglas.
• Department of Neurology, University of California, San Francisco, USA. Electronic address: ethan.brown@ucsf.edu.
• Geriatr Nurs. 2017 Nov 1; 38 (6): 567-572.

AbstractInpatient delirium improves with multicomponent interventions by hospital staff, though the resources needed are often limited. Risk-stratification to predict delirium is a useful first step to help triage resources, but the performance of risk-stratification as part of a functioning multicomponent pathway has not been assessed. We retrospectively studied the performance of a validated delirium prediction rule, the AWOL score, as a part of a multicomponent delirium care pathway in practice on a university hospital ward. We reviewed the hospitalizations of patients 50 years or older for evidence of delirium and extracted the AWOL score from nursing documentation (n = 347). The area under the receiver operating characteristic curve (AUC) was 0.83 (95% CI 0.77-0.89) for all cases and 0.73 (95% CI 0.60-0.85) when cases of prevalent delirium were removed. Involving minimal additional assessment, this nursing-based risk stratification score performed well as part of a multicomponent delirium care pathway.Copyright © 2017 Elsevier Inc. All rights reserved.

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