The emergency department occupancy rate: A simple measure of emergency department crowding?

被引:148
|
作者
McCarthy, Melissa L. [1 ]
Aronsky, Dominik [3 ]
Jones, Ian D. [2 ]
Miner, James R. [4 ]
Band, Roger A. [5 ]
Baren, Jill M. [5 ]
Desmond, Jeffrey S. [6 ]
Baumlin, Kevin M. [7 ]
Ding, Ru [1 ]
Shesser, Robert [8 ]
机构
[1] Johns Hopkins Univ, Sch Med, Dept Emergency Med, Baltimore, MD USA
[2] Vanderbilt Univ, Ctr Med, Dept Emergency Med, Nashville, TN 37232 USA
[3] Vanderbilt Univ, Ctr Med, Dept Biomed Informat, Nashville, TN 37232 USA
[4] Univ Minnesota, Dept Emergency Med, Minneapolis, MN USA
[5] Univ Penn, Sch Med, Dept Emergency Med, Philadelphia, PA 19104 USA
[6] Univ Michigan, Dept Emergency Med, Ann Arbor, MI 48109 USA
[7] Mt Sinai Sch Med, Dept Emergency Med, New York, NY USA
[8] George Washington Univ, Sch Med, Dept Emergency Med, Washington, DC USA
关键词
D O I
10.1016/j.annemergmed.2007.09.003
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Study objective: We examine the validity of the emergency department (ED) occupancy rate as a measure of crowding by comparing it to the Emergency Department Work Index Score (EDWIN), a previously validated scale. Methods: A multicenter validation study was conducted according to ED visit data from 6 academic EDs for a 3-month period in 2005. Hourly ED occupancy rate (ie, total number of patients in ED divided by total number of licensed beds) and EDWIN scores were calculated. The correlation between the scales was determined and their validity evaluated by their ability to discriminate between hours when 1 or more patients left without being seen and hours when the ED was on ambulance diversion, using area under the curve (AUC) statistics estimated from the bootstrap method. Results: We calculated the ED occupancy rate and EDWIN for 2,208 consecutive hours at each of the 6 ElDs. The overall correlation between the 2 scales was 0.58 (95% confidence interval [CI] 0.56 to 0.60). The ED occupancy rate (AUC=0.73; 95% CI 0.65 to 0.80) and the EDWIN (AUC=0.65; 95% CI 0.58 to 0.72) did not differ significantly in correctly identifying hours when patients left without being seen. The ED occupancy rate (AUC=0.78; 95% CI 0.75 to 0.80) and the EDWIN (AUC=0.70; 95% CI 0.59 to 0.81) performed similarly for ED diversion hours. Conclusion: The ED occupancy rate and the EDWIN classified leaving without being seen and ambulance diversion hours with moderate accuracy. Although the ED occupancy rate is not ideal, its simplicity makes real-time assessment of crowding feasible for more EDs nationwide.
引用
收藏
页码:15 / 24
页数:10
相关论文
共 50 条
  • [1] Emergency department occupancy is useful as a simple real-time measure of crowding
    Robin Clouston
    Paul Atkinson
    Donaldo D. Canales
    Jacqueline Fraser
    Dylan Sohi
    Scott Lee
    Michael Howlett
    Canadian Journal of Emergency Medicine, 2022, 24 : 23 - 26
  • [2] Emergency department occupancy is useful as a simple real-time measure of crowding
    Clouston, Robin
    Atkinson, Paul
    Canales, Donaldo D.
    Fraser, Jacqueline
    Sohi, Dylan
    Lee, Scott
    Howlett, Michael
    CANADIAN JOURNAL OF EMERGENCY MEDICINE, 2022, 24 (01) : 23 - 26
  • [3] Hourly emergency department census: A simple measure of crowding
    Waxman, DA
    Husk, G
    Akhtar, S
    Krishnamurthy, C
    ANNALS OF EMERGENCY MEDICINE, 2004, 44 (04) : S19 - S19
  • [4] Initial validation of the International Crowding Measure in Emergency Departments (ICMED) to measure emergency department crowding
    Boyle, Adrian
    Coleman, James
    Sultan, Yasmin
    Dhakshinamoorthy, Vijayasankar
    O'Keeffe, Jacqueline
    Raut, Pramin
    Beniuk, Kathleen
    EMERGENCY MEDICINE JOURNAL, 2015, 32 (02) : 105 - 108
  • [5] Comparison of the International Crowding Measure in Emergency Departments (ICMED) and the National Emergency Department Overcrowding Score (NEDOCS) to measure emergency department crowding: pilot study
    Boyle, Adrian
    Abel, Gary
    Raut, Pramin
    Austin, Richard
    Dhakshinamoorthy, Vijayasankar
    Ayyamuthu, Ravi
    Murdoch, Iona
    Burton, Joel
    EMERGENCY MEDICINE JOURNAL, 2016, 33 (05) : 307 - 312
  • [6] CROWDING IN THE EMERGENCY DEPARTMENT
    Carlson, Kathleen
    JOURNAL OF EMERGENCY NURSING, 2016, 42 (02) : 97 - 98
  • [7] Emergency department crowding
    Barad, Miryam
    Hadas, Talma
    Yarom, Rony Ackerman
    Weisman, Hadar
    2014 IEEE EMERGING TECHNOLOGY AND FACTORY AUTOMATION (ETFA), 2014,
  • [8] Emergency department crowding
    Higginson, Ian
    EMERGENCY MEDICINE JOURNAL, 2012, 29 (06) : 437 - 443
  • [9] A complexity-based measure for emergency department crowding
    Taiwo, Enayon Sunday
    Zaerpour, Farzad
    Menezes, Mozart B. C.
    Sun, Zhankun
    INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT, 2024, 44 (04) : 768 - 789
  • [10] Emergency Department Crowding and Outcomes After Emergency Department Discharge
    Gabayan, Gelareh Z.
    Derose, Stephen F.
    Chiu, Vicki Y.
    Yiu, Sau C.
    Sarkisian, Catherine A.
    Jones, Jason P.
    Sun, Benjamin C.
    ANNALS OF EMERGENCY MEDICINE, 2015, 66 (05) : 483 - 492