title: Prediction of hospital utilization among elderly patients during the 6 months after an emergency department visit.
abstract: OBJECTIVE
  A simple screening tool, Identification of Seniors at Risk (ISAR), developed for administration in the emergency department for patients 65 years and older, predicts adverse health outcomes during the 6 months after the ED visit. In this study, we investigated whether the ISAR tool can also predict acute care hospital utilization in the same population.
  
  
  METHODS
  Patients 65 years and older who visited the EDs of 4 acute care Montreal hospitals during the weekday shift over a 3-month period were enrolled. At the initial (index) ED visit, 27 self-report screening questions (including the 6 ISAR items) were administered. The number of acute care hospital days during the 6 months after the index visit were abstracted from the provincial hospital discharge database. High utilization was defined as the top decile of the distribution of acute care hospital days.
  
  
  RESULTS
  Among 1,620 patients with linked data, a score of 2+ on the ISAR tool predicted high hospital utilization with a sensitivity of 73% and a specificity of 51%; the area under the receiver operating characteristic curve was 0.68. The ISAR tool also performed well in subgroups defined by disposition (admitted versus discharged) and by age (65 to 74 years versus 75 years and older).
  
  
  CONCLUSIONS
  The ISAR tool, a 6-item self-report questionnaire, can be used in the ED to identify elderly patients who will experience high acute care hospital utilization as well as adverse health outcomes.
authors.affiliation: Department of Clinical Epidemiology and Community Studies, St. Mary's Hospital, Montreal,Quebec, Canada. jane.mccusker@smhc.qc.ca
authors.forename: J
authors.initials: J
authors.lastname: McCusker
authors.forename: F
authors.initials: F
authors.lastname: Bellavance
authors.forename: S
authors.initials: S
authors.lastname: Cardin
authors.forename: E
authors.initials: E
authors.lastname: Belzile
authors.forename: J
authors.initials: J
authors.lastname: Verdon
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data*; D005260:Female; D005544:Forecasting; D015577:Geriatric Assessment; D006760:Hospitalization / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D011792:Quebec; D011795:Surveys and Questionnaires; D013997:Time Factors