Original Article

CME Article: Emergency Department Orthopedics Observation Unit as an Alternative to Admission

Authors: Amy A. Ernst, MD, Jaime Jones, MD, Steven J. Weiss, MD, Otono Silva, MD

Abstract

Objectives: Inclusion of select orthopedic problems in the orthopedics observation unit (OOU) may reduce hospital admissions. Our system allows OOU status for 24 hours, but the effect on admissions is unknown. Our primary hypothesis was that we could predict which OOU patients required admission based on the presence of uncontrolled pain.

Methods: Data were prospectively collected for all OOU patients in this prospective observational study, including data on extremity cellulitis, fractures, and spine injuries awaiting brace placement.The primary outcome variable was admission to the hospital versus discharge home. The a priori hypotheses were that patients with more persistent or worsening pain would require admission more often and that the OOU would result in fewer patients needing a costlier inpatient admission to the hospital. An a priori power analysis showed adequate power of 80% to detect a difference between admitted and discharged patients.

Results: Data were prospectively collected from August 2011 to August 2012 for 199 consecutive OOU patients, 62% of whom were men. Diagnoses included infection (cellulitis or abscess of extremity) in 76%, fracture in 15% and other in 9% of the patients. Sixty-two patients (31%) were admitted and 7 patients (4%) made return visits for the same problem within a 30-day period. No significant relations existed between any of the independent variables and admission on bivariate analysis. Multivariable logistic regression found no significant predictors of hospital admission. Logistic regression was not performed on 30-day returns because of the low event rate (4%).

Conclusions: An OOU prevented 138 of 199 (69%) patients from being admitted to a hospital. There were no significant predictors of which patients would require admission. Pain was not a predictor of need for admission. The lack of significant predictors is important in suggesting that without the ability to predict which patients require admission, a system using an OOU can reduce admissions by more than two-thirds.

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References

1. Leykum LK, Huerta V, Mortensen E. Implementation of a hospitalist-run observation unit and impact on length of stay (LOS): a brief report. J Hosp Med 2010;5:E2-E5.
 
2. Krantz MJ, Zwang O, Rowan SB. A cooperative care model: cardiologists and hospitalists reduce length of stay in a chest pain observation unit. Crit Pathw Cardiol 2005;4:55-58.
 
3. Nahab F, Leach G, Kingston C, et al. Impact of an emergency department observation unit transient ischemic attack protocol on length of stay and cost. J Stroke Cerebrovasc Dis 2012;21:673-678.
 
4. Menditto VG, Gabrielli B, Marcosignori M, et al. The management of blunt thoracic trauma in an emergency department observation unit: pre-post observational study. J Trauma 2012;72:222-228.
 
5. Madsen TE, Bledsoe JR, Bossart PJ. Observation unit admission as an alternative to inpatient admission for trauma activation patients. Emerg Med J 2009;26:421-423.
 
6. Holly J, Bledsoe J, Black K, et al. Prospective evaluation of an ED observation unit protocol for trauma activation patients. Am J Emerg Med 2012;30:1402-1406.
 
7. Roberts R. Management of patients with infectious diseases in an emergency department observation unit. Emerg Med Clin North Am 2001;19:187-207.
 
8. Schrock JW, Laskey S, Cydulka R. Predicting observation unit treatment failures in patients with skin and soft tissue infections. Int J Emerg Med 2008;1:85-90.
 
9. Volz KA, Canham L, Kaplan E, et al. Identifying patients with cellulitis who are likely to require inpatient admission after a stay in an ED observation unit. Am J Emerg Med 2013;31:360-364.
 
10. Miescier MJ, Nelson DS, Firth SD, et al. Children with asthma admitted to a pediatric observation unit. Pediatr Emerg Care 2005;21:645-649.
 
11. Schrock JW, Reznikova S, Weller S. The effect of an observation unit on the rate of ED admission and discharge for pyelonephritis. Am J Emerg Med 2010;28:682-688.
 
12. Sabbaj A, Jensen B, Browning MA, et al. Soft tissue infections and emergency department disposition: predicting the need for inpatient admission. Acad Emerg Med 2009;16:1290-1297.
 
13. Alpern EA, Calello DP, Windreich R, et al. Utilization and unexpected hospitalization rates of a pediatric emergency department 23-hour observation unit. Pediatr Emerg Care 2008;24:589-594.
 
14. Roberts R, Graff LG. Economic issues in observation unit medicine. Emerg Med Clin North Am 2001;19:19-33.
 
15. Crenshaw LA, Lindsell CJ, Storrow AB, et al. An evaluation of emergency physician selection of observation unit patients. Am J Emerg Med 2006;24:271-279.
 
16. Wilkinson K, Severance H. Identification of chest pain patients appropriate for an emergency department observation unit. Emerg Med Clin North Am 2001;19:35-66.
 
17. Sun BC, McCreath H, Liang LJ, et al. Randomized clinical trial of an emergency department observation syncope protocol versus routine inpatient admission. Ann Emerg Med 2014;64:167-175.
 
18. Sandweiss DR, Mundorff MB, Hill T, et al. Decreased hospital length of stay for bronchiolitis by using an observation unit and home oxygen therapy. JAMA Pediatr 2013;167:422-428.
 
19. Baugh CW, Venkatesh AK, Hilton JA, et al. Making greater use of dedicated hospital observation units for many short-stay patients could save 3.1 billion a year. Health Aff 2012;31:2314-2323.