Document Detail


Web-based self-triage of influenza-like illness during the 2009 H1N1 influenza pandemic.
MedLine Citation:
PMID:  20605260     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Arthur L Kellermann; Alexander P Isakov; Ruth Parker; Michael T Handrigan; Seth Foldy
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-06-03
Journal Detail:
Title:  Annals of emergency medicine     Volume:  56     ISSN:  1097-6760     ISO Abbreviation:  Ann Emerg Med     Publication Date:  2010 Sep 
Date Detail:
Created Date:  2010-08-23     Completed Date:  2010-09-29     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8002646     Medline TA:  Ann Emerg Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  288-294.e6     Citation Subset:  AIM; IM    
Copyright Information:
Copyright (c) 2010 American College of Emergency Physicians. Published by Mosby, Inc. All rights reserved.
Affiliation:
Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA, USA. ALK@rand.org
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MeSH Terms
Descriptor/Qualifier:
Adult
Algorithms
Child
Decision Making, Computer-Assisted
Disease Outbreaks
Humans
Influenza A Virus, H1N1 Subtype*
Influenza, Human / diagnosis*,  epidemiology,  therapy
Internet*
Patient Education as Topic / methods*
Self Care / methods
Triage / methods*
United States
Comments/Corrections
Comment In:
Ann Emerg Med. 2010 Sep;56(3):303-4   [PMID:  20728772 ]

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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