Examining the utility and accuracy of the interRAI Emergency Department Screener in identifying high‐risk older emergency department patients: A Canadian multiprovince prospective cohort study Journal Articles uri icon

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abstract

  • AbstractObjectivesWe set out to determine the accuracy of the interRAI Emergency Department (ED) Screener in predicting the need for detailed geriatric assessment in the ED. Our secondary objective was to determine the discriminative ability of the interRAI ED Screener for predicting the odds of discharge home and extended ED length of stay (>24 hours).MethodsWe conducted a multiprovince prospective cohort study in Canada. The need for detailed geriatric assessment was determined using the interRAI ED Screener and the interRAI ED Contact Assessment as the reference standard. A score of ≥5 was used to classify high‐risk patients. Assessments were conducted by emergency and research nurses. We calculated the sensitivity, positive predictive value, and false discovery rate of the interRAI ED Screener. We employed logistic regression to predict ED outcomes while adjusting for age, sex, academic status, and the province of care.ResultsA total of 5629 older ED patients across 11 ED sites were evaluated using the interRAI ED Screener and 1061 were evaluated with the interRAI ED Contact Assessment. Approximately one‐third of patients were discharged home or experienced an extended ED length of stay. The interRAI ED Screener had a sensitivity of 93%, a positive predictive value of 82%, and a false discovery rate of 18%. The interRAI ED Screener predicted discharge home and extended ED length of stay with fair accuracy.ConclusionThe interRAI ED Screener is able to accurately and rapidly identify individuals with medical complexity. The interRAI ED Screener predicts patient‐important health outcomes in older ED patients, highlighting its value for vulnerability screening.

authors

  • Mowbray, Fabrice I
  • Heckman, George
  • Hirdes, John P
  • Costa, Andrew
  • Beauchet, Olivier
  • Eagles, Debra
  • Perry, Jeffrey J
  • Sinha, Samir
  • Archambault, Patrick
  • Wang, Hanting
  • Jantzi, Michaela
  • Hebert, Paul

publication date

  • February 2023