Web-based self-triage of influenza-like illness during the 2009 H1N1 influenza pandemic.
Identifieur interne : 001292 ( PubMed/Corpus ); précédent : 001291; suivant : 001293Web-based self-triage of influenza-like illness during the 2009 H1N1 influenza pandemic.
Auteurs : Arthur L. Kellermann ; Alexander P. Isakov ; Ruth Parker ; Michael T. Handrigan ; Seth FoldySource :
- Annals of emergency medicine [ 1097-6760 ] ; 2010.
English descriptors
- KwdEn :
- Adult, Algorithms, Child, Decision Making, Computer-Assisted, Disease Outbreaks, Humans, Influenza A Virus, H1N1 Subtype, Influenza, Human (diagnosis), Influenza, Human (epidemiology), Influenza, Human (therapy), Internet, Patient Education as Topic (methods), Self Care (methods), Triage (methods), United States.
- MESH :
- geographic : United States.
- diagnosis : Influenza, Human.
- epidemiology : Influenza, Human.
- methods : Patient Education as Topic, Self Care, Triage.
- therapy : Influenza, Human.
- Adult, Algorithms, Child, Decision Making, Computer-Assisted, Disease Outbreaks, Humans, Influenza A Virus, H1N1 Subtype, Internet.
Abstract
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.
DOI: 10.1016/j.annemergmed.2010.04.005
PubMed: 20605260
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Handrigan</name></author><author><name sortKey="Foldy, Seth" sort="Foldy, Seth" uniqKey="Foldy S" first="Seth" last="Foldy">Seth Foldy</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2010">2010</date><idno type="RBID">pubmed:20605260</idno><idno type="pmid">20605260</idno><idno type="doi">10.1016/j.annemergmed.2010.04.005</idno><idno type="wicri:Area/PubMed/Corpus">001292</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">001292</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Web-based self-triage of influenza-like illness during the 2009 H1N1 influenza pandemic.</title><author><name sortKey="Kellermann, Arthur L" sort="Kellermann, Arthur L" uniqKey="Kellermann A" first="Arthur L" last="Kellermann">Arthur L. Kellermann</name><affiliation><nlm:affiliation>Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA, USA. ALK@rand.org</nlm:affiliation></affiliation></author><author><name sortKey="Isakov, Alexander P" sort="Isakov, Alexander P" uniqKey="Isakov A" first="Alexander P" last="Isakov">Alexander P. Isakov</name></author><author><name sortKey="Parker, Ruth" sort="Parker, Ruth" uniqKey="Parker R" first="Ruth" last="Parker">Ruth Parker</name></author><author><name sortKey="Handrigan, Michael T" sort="Handrigan, Michael T" uniqKey="Handrigan M" first="Michael T" last="Handrigan">Michael T. Handrigan</name></author><author><name sortKey="Foldy, Seth" sort="Foldy, Seth" uniqKey="Foldy S" first="Seth" last="Foldy">Seth Foldy</name></author></analytic><series><title level="j">Annals of emergency medicine</title><idno type="eISSN">1097-6760</idno><imprint><date when="2010" type="published">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Algorithms</term><term>Child</term><term>Decision Making, Computer-Assisted</term><term>Disease Outbreaks</term><term>Humans</term><term>Influenza A Virus, H1N1 Subtype</term><term>Influenza, Human (diagnosis)</term><term>Influenza, Human (epidemiology)</term><term>Influenza, Human (therapy)</term><term>Internet</term><term>Patient Education as Topic (methods)</term><term>Self Care (methods)</term><term>Triage (methods)</term><term>United States</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>United States</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Patient Education as Topic</term><term>Self Care</term><term>Triage</term></keywords><keywords scheme="MESH" qualifier="therapy" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Algorithms</term><term>Child</term><term>Decision Making, Computer-Assisted</term><term>Disease Outbreaks</term><term>Humans</term><term>Influenza A Virus, H1N1 Subtype</term><term>Internet</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">20605260</PMID><DateCompleted><Year>2010</Year><Month>09</Month><Day>29</Day></DateCompleted><DateRevised><Year>2020</Year><Month>04</Month><Day>07</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1097-6760</ISSN><JournalIssue CitedMedium="Internet"><Volume>56</Volume><Issue>3</Issue><PubDate><Year>2010</Year><Month>Sep</Month></PubDate></JournalIssue><Title>Annals of emergency medicine</Title><ISOAbbreviation>Ann Emerg Med</ISOAbbreviation></Journal><ArticleTitle>Web-based self-triage of influenza-like illness during the 2009 H1N1 influenza pandemic.</ArticleTitle><Pagination><MedlinePgn>288-294.e6</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.annemergmed.2010.04.005</ELocationID><Abstract><AbstractText>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.</AbstractText><CopyrightInformation>Copyright (c) 2010 American College of Emergency Physicians. Published by Mosby, Inc. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Kellermann</LastName><ForeName>Arthur L</ForeName><Initials>AL</Initials><AffiliationInfo><Affiliation>Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA, USA. 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