Volume 10, Issue 3 pp. 224-232
Free Access

A Brief Risk-stratification Tool to Predict Repeat Emergency Department Visits and Hospitalizationsin Older Patients Discharged from the Emergency Department

Stephen W. Meldon MD

Corresponding Author

Stephen W. Meldon MD

Case Western Reserve University Department of Emergency Medicine at MetroHealth Medical Center (SWM, BLD, CLE)

Department of Emergency Medicine, BG-352, MetroHealth Medical Center, 2500 MetroHealth Drive, Cleveland, OH 44109. e-mail: [email protected].Search for more papers by this author
Lorraine C. Mion PhD, RN

Lorraine C. Mion PhD, RN

Cleveland Clinic Foundation Departments of Nursing Research (LCM, LJL)

Search for more papers by this author
Robert M. Palmer MD, MPH

Robert M. Palmer MD, MPH

Case Western Reserve University Department of Emergency Medicine at MetroHealth Medical Center (SWM, BLD, CLE)

Search for more papers by this author
Barbara L. Drew PhD, RN

Barbara L. Drew PhD, RN

Case Western Reserve University Department of Emergency Medicine at MetroHealth Medical Center (SWM, BLD, CLE)

Search for more papers by this author
Jason T. Connor MS

Jason T. Connor MS

Cleveland Clinic Foundation Departments of Nursing Research (LCM, LJL)

Search for more papers by this author
Linda J. Lewicki PhD, RN

Linda J. Lewicki PhD, RN

Cleveland Clinic Foundation Departments of Nursing Research (LCM, LJL)

Search for more papers by this author
David M. Bass PhD

David M. Bass PhD

Geriatrics (RMP), and Biostatistics (JTC)

Benjamin Rose Institute (DMB); Cleveland, OH. Dr. Drew is now with the Kent State University College of Nursing.

Search for more papers by this author
Charles L. Emerman MD

Charles L. Emerman MD

Case Western Reserve University Department of Emergency Medicine at MetroHealth Medical Center (SWM, BLD, CLE)

Search for more papers by this author
First published: 28 June 2008
Citations: 232

Abstract

Objectives: To evaluate the predictive ability of a simple six-item triage risk screening tool (TRST) to identify elder emergency department (ED) patients at risk for ED revisits, hospitalization, or nursing home (NH) placement within 30 and 120 days following ED discharge. Methods: Prospective cohort study of 650 community-dwelling elders (age 65 years or older) presenting to two urban academic EDs. Subjects were prospectively evaluated with a simple six-item ED nursing TRST. Participants were interviewed 30 and 120 days post-ED index visit and the utilization of EDs, hospitals, or NHs was recorded. Main outcome measurement was the ability of the TRST to predict the composite endpoint of subsequent ED use, hospital admission, or NH admission at 30 and 120 days. Individual outcomes of ED use, hospitalization, and NH admissions were also examined. Results: Increasing cumulative TRST scores were associated with significant trends for ED use, hospital admission, and composite outcome at both 30 and 120 days (p < 0.0001 for all, except 30-day ED use, p = 0.002). A simple, unweighted five-item TRST (“lives alone” item removed after logistic regression modeling) with a cut-off score of 2 was the most parsimonious model for predicting composite outcome (AUC = 0.64) and hospitalization at 30 days (AUC = 0.72). Patients defined as high-risk by the TRST (score ≥ 2) were significantly more likely to require subsequent ED use (RR = 1.7; 95% CI = 1.2 to 2.3), hospital admission (RR = 3.3; 95% CI = 2.2 to 5.1), or the composite outcome (RR = 1.9; 95% CI 1.7 to 2.9) at both 30 days and 120 days than the low-risk cohort. Conclusions: Older ED patients with two or more risk factors on a simple triage screening tool were found to be at significantly increased risk for subsequent ED use, hospitalization, and nursing home admission.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.