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Using Timely Survey-Based Information Networks to Collect Data on Best Practices for Public Health Emergency Preparedness and Response: Illustrative Case From the American College of Emergency Physicians’ Ebola Surveys

Published online by Cambridge University Press:  16 June 2016

Mahshid Abir*
Affiliation:
Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, and RAND Corporation
Melinda Moore
Affiliation:
RAND Corporation, Arlington, Virginia
Margaret Chamberlin
Affiliation:
Pardee RAND Graduate School, RAND Corporation, Santa Monica, California
Kristi L. Koenig
Affiliation:
Department of Emergency Medicine, University of California, Irvine (UCI), Center for Disaster Medical Sciences, Irvine, California
Jon Mark Hirshon
Affiliation:
Departments of Emergency Medicine and of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland
Cynthia Singh
Affiliation:
American College of Emergency Physicians, Irving, Texas
Sandra Schneider
Affiliation:
Hofstra Northwell School of Medicine, Hempstead, New YorkJohn Peter Smith Hospital, Fort Worth, TexasAmerican College of Emergency Physicians, Dallas, Texas
Stephen Cantrill
Affiliation:
Department of Emergency Medicine Denver Health Medical Center, University of Colorado School of Medicine, Denver, Colorado.
*
Correspondence and reprint requests to Mahshid Abir, MD, MSc, Assistant Professor, Department of Emergency Medicine, University of Michigan, Ann Arbor, MI (e-mail: mahshida@med.umich.edu)
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Abstract

Objective

Using the example of surveys conducted by the American College of Emergency Physicians (ACEP) regarding the management of Ebola cases in the United States, we aimed to demonstrate how survey-based information networks can provide timely data to inform best practices in responding to public health emergencies.

Methods

ACEP conducted 3 surveys among its members in October to November 2014 to assess the state of Ebola preparedness in emergency departments. We analyzed the surveys to illustrate the types of information that can be gleaned from such surveys. We analyzed qualitative data through theme extraction and collected quantitative results through cross-tabulations and logistic regression examining associations between outcomes and potential contributing factors.

Results

In the first survey, most respondents perceived their hospital as being reasonably prepared for Ebola. The second survey revealed significant associations between a hospital’s preparedness and its perceived ability to admit Ebola patients. The third survey identified 3 hospital characteristics that were significantly and independently associated with perceived ability to admit Ebola patients: large size, previous Ebola screening experience, and physician- and nurse-led hospital preparedness.

Conclusion

Professional associations can use their member networks to collect timely survey data to inform best practices during and immediately after public health emergencies. (Disaster Med Public Health Preparedness. 2016;10:681–690)

Information

Type
Original Research
Copyright
Copyright © Society for Disaster Medicine and Public Health, Inc. 2016 
Figure 0

Table 1Survey 2: Ability to Admit EVD Patient, by PPE Training and Other Preparednessa

Figure 1

Table 2Survey 2: Ability to Admit EVD Patient, by Information and Resources Available or Provideda

Figure 2

Table 3Survey 3: Frequency Distributions of Selected Variablesa

Figure 3

Table 4Survey 3: Relationships Between Hospital Size and Outcomes of Interesta

Figure 4

Table 5Survey 3: Relationships between Outcomes of Interest and Regiona

Figure 5

Table 6Survey 3: Factors Potentially Associated with Ability to Screen and Admit an EVD Patienta