Predictors of Admission in Adult Unscheduled Return Visits to the Emergency Department
- PMID: 30429921
- PMCID: PMC6225947
- DOI: 10.5811/westjem.2018.8.38225
Predictors of Admission in Adult Unscheduled Return Visits to the Emergency Department
Abstract
Introduction: The 72-hour unscheduled return visit (URV) of an emergency department (ED) patient is often used as a key performance indicator in emergency medicine. We sought to determine if URVs with admission to hospital (URVA) represent a distinct subgroup compared to unscheduled return visits with no admission (URVNA).
Methods: We performed a retrospective cohort study of all 72-hour URVs in adults across 10 EDs in the Edmonton Zone (EZ) over a one-year period (January 1, 2015 - December 31, 2015) using ED information-system data. URVA and URVNA populations were compared, and a multivariable analysis identified predictors of URVA.
Results: Analysis of 40,870 total URV records, including 3,363 URVAs, revealed predictors of URVA on the index visit including older age (>65 yrs, odds ratio [OR] 3.6), higher disease acuity (Canadian Emergency Department Triage and Acuity Scale [CTAS] 2, OR 2.6), gastrointestinal presenting complaint (OR 2.2), presenting to a referral hospital (OR 1.4), fewer annual ED visits (<4 visits, OR 2.0), and more hours spent in the ED (>12 hours, OR 2.0). A decrease in CTAS score (increase in disease acuity) upon return visit also increased the risk of admission (-1 CTAS level, OR 2.6). ED crowding at the index visit, as indicated by occupancy level, was not a predictor.
Conclusion: We demonstrate that URVA patients comprise a distinct subgroup of 72-hour URV patients. Risk factors for URVA are present at the index visit suggesting that patients at high risk for URVA may be identifiable prior to admission.
Conflict of interest statement
Conflicts of Interest: By the WestJEM article submission agreement, all authors are required to disclose all affiliations, funding sources and financial or management relationships that could be perceived as potential sources of bias. No author has professional or financial relationships with any companies that are relevant to this study. There are no conflicts of interest or sources of funding to declare.
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References
-
- Lindsay P, Schull M, Bronskill S, et al. The development of indicators to measure the quality of clinical care in emergency departments following a modified-delphi approach. Acad Emerg Med. 2001;9(11):1131–9. - PubMed
-
- The Emergency Department Return Visit Quality Program Results from the first year. [Accessed September 30, 2017]. Available at: http://www.hqontario.ca/Portals/0/documents/qi/ed/report-ed-return-visit....
-
- Centers for Medicare and Medicaid Services. Readmissions-Reduction-Program. 2016. [Accessed September 30, 2017]. Available at: https://www.cms.gov/medicare/medicare-fee-for-service-payment/acuteinpat....
-
- Liaw SJ, Bullard MJ, Hu PM, et al. Rates and causes of emergency department revisits within 72 hours. J Formos Med Assoc. 1999;98(6):422–5. - PubMed
-
- Abualenain J, Frohna WJ, Smith M, et al. The prevalence of quality issues and adverse outcomes among 72-hour return admissions in the emergency department. J Emerg Med. 2013;45(2):281–8. - PubMed