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Cancellation of Scheduled Procedures as a Mechanism to Generate Hospital Bed Surge Capacity—A Pilot Study

Published online by Cambridge University Press:  06 July 2011

Olan A. Soremekun ,
Richard D. Zane ,
Andrew Walls ,
Matthew B. Allen ,
Kimberly J. Seefeld  and
Daniel J. Pallin
Olan A. Soremekun
Affiliation:
Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts USA
Richard D. Zane*
Affiliation:
Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts USA
Andrew Walls
Affiliation:
Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts USA
Matthew B. Allen
Affiliation:
Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts USA
Kimberly J. Seefeld
Affiliation:
Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts USA
Daniel J. Pallin
Affiliation:
Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts USA
*
Correspondence: Richard D. Zane, MD Department of Emergency MedicineBrigham and Women's Hospital75 Francis StreetBoston, Massachusetts 02115 USA E-mail: [email protected]
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Abstract

Background: The ability to generate hospital beds in response to a mass-casualty incident is an essential component of public health preparedness. Although many acute care hospitals' emergency response plans include some provision for delaying or canceling elective procedures in the event of an inpatient surge, no standardized method for implementing and quantifying the impact of this strategy exists in the literature. The aim of this study was to develop a methodology to prospectively emergency plan for implementing a strategy of delaying procedures and quantifying the potential impact of this strategy on creating hospital bed capacity.

Methods: This is a pilot study. A categorization methodology was devised and applied retrospectively to all scheduled procedures during four one-week periods chosen by convenience. The categorization scheme grouped procedures into four categories: (A) procedures with no impact on inpatient capacity; (B) procedures that could be delayed indefinitely; (C) procedures that could be delayed by one week; and (D) procedures that could not be delayed. The categorization scheme was applied by two research assistants and an emergency medicine resident. All three raters categorized the first 100 cases to allow for calculation of inter-rater reliability. Maximal hospital bed capacity was defined as the 95th percentile weekday occupancy, as this is more representative of functional bed capacity than is the number of licensed beds. The main outcome was the number of hospital beds that could be created by postponing procedures in categories B and C.

Results: Maximal hospital bed capacity was 816 beds. Mean occupancy during weekdays was 759 versus 694 on weekends. By postponing Group B and C procedures, a mean of 60 beds (51 general medical/surgical and nine intensive care unit (ICU)) could be created on weekdays, and four beds (three general medical/surgical and one ICU) on weekends. This represents 7.3% and 0.49% of maximal hospital bed capacity and ICU capacity, respectively. In the event that sustained surge is needed, delaying all category B and C procedures for one week would lead to the generation of 1,235 hospital-bed days. Inter-rater reliability was high (kappa = 0.74) indicating good agreement between all three raters.

Conclusions: For the institution studied, the strategy of delaying scheduled procedures could generate inpatient capacity with maximal impact during weekdays and little impact on weekends. Future research is needed to validate the categorization scheme and increase the ability to predict inpatient surge capacity across various hospital types and sizes.

Keywords

disasterelective proceduresinpatienthealth emergencyhealth serviceshospital servicesmass casualtysurge capacity
Type
Brief Report
Information
Prehospital and Disaster Medicine , Volume 26 , Issue 3 , June 2011 , pp. 224 - 229
Copyright
Copyright Soremekun © World Association for Disaster and Emergency Medicine 2011

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