Annals of Emergency Medicine
Volume 56, Issue 3 , Pages 288-294.e6, September 2010

Web-Based Self-Triage of Influenza-Like Illness During the 2009 H1N1 Influenza Pandemic

  • Arthur L. Kellermann, MD, MPH

      Affiliations

    • Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA
    • RAND Corporation, Arlington, VA
    • Corresponding Author InformationAddress for reprints: Arthur L. Kellermann, MD, MPH, RAND Corporation, 1200 South Hayes St, Arlington, VA 22202; 703-413-1100, ext. 5504, fax 703-413-8111
  • ,
  • Alexander P. Isakov, MD, MPH

      Affiliations

    • Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA
    • Emory Office of Critical Event Preparedness and Response, Atlanta, GA
  • ,
  • Ruth Parker, MD

      Affiliations

    • Department of Medicine, Emory University School of Medicine, Atlanta, GA
  • ,
  • Michael T. Handrigan, MD

      Affiliations

    • Emergency Care Coordinating Center, Office of Assistant Secretary for Preparedness and Response, US Department of Health and Human Services, Washington, DC
  • ,
  • Seth Foldy, MD, MPH

      Affiliations

    • Wisconsin Department of Health Services, Madison, WI

Received 23 December 2009; received in revised form 24 March 2010; accepted 29 March 2010. published online 04 June 2010.

The sudden emergence of 2009 H1N1 influenza in the spring of that year sparked a surge in visits to emergency departments in New York City and other communities. A larger, second wave of cases was anticipated the following autumn. To reduce a potential surge of health system utilization without denying needed care, we enlisted the input of experts from medicine, public health, nursing, information technology, and other disciplines to design, test, and deploy clinical algorithms to help minimally trained health care workers and laypeople make informed decisions about care-seeking for influenza-like illness. The product of this collaboration, named Strategy for Off-Site Rapid Triage (SORT) was disseminated in 2 forms. Static algorithms, posted on the Centers for Disease Control and Prevention's Web site, offered guidance to clinicians and telephone call centers on how to manage adults and children with influenza-like illness. In addition, 2 interactive Web sites, http://www.Flu.gov and http://www.H1N1ResponseCenter.com, were created to help adults self-assess their condition and make an informed decision about their need for treatment. Although SORT was anchored in a previously validated clinical decision rule, incorporated the input of expert clinicians, and was subject to small-scale formative evaluations during rapid standup, prospective evaluation is lacking. If its utility and safety are confirmed, SORT may prove to be a useful tool to blunt health system surge and rapidly collect epidemiologic data on future disease outbreaks.

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 Supervising editor: Amy H. Kaji, MD, PhD

 Funding and support: By Annals policy, all authors are required to disclose any and all commercial, financial, and other relationships in any way related to the subject of this article that might create any potential conflict of interest. See the Manuscript Submission Agreement in this issue for examples of specific conflicts covered by this statement. This work was supported in part by a contract from the Georgia Division of Public Health and grants from the Robert W. Woodruff Foundation and the de Beaumont Foundation.

 Publication date: Available online June 3, 2010.

PII: S0196-0644(10)00354-9

doi:10.1016/j.annemergmed.2010.04.005

Annals of Emergency Medicine
Volume 56, Issue 3 , Pages 288-294.e6, September 2010