PandemieGrippaleV1, Main, Curation, bibRecord, 003680

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

Identifieur interne : 003680 ( Main/Curation ); précédent : 003679; suivant : 003681

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

Auteurs : Arthur L. Kellermann [États-Unis] ; Alexander P. Isakov [États-Unis] ; Ruth Parker [États-Unis] ; Michael T. Handrigan [États-Unis] ; Seth Foldy [États-Unis]

Source :

Annals of emergency medicine [ 0196-0644 ] ; 2010.

RBID : Pascal:10-0416708

Descripteurs français

KwdFr :
- Adulte, Algorithmes, Autosoins (), Enfant, Flambées de maladies, Grippe humaine (), Grippe humaine (diagnostic), Grippe humaine (épidémiologie), Humains, Internet, Prise de décision assistée par ordinateur, Sous-type H1N1 du virus de la grippe A, Triage (), Éducation du patient comme sujet (), États-Unis d'Amérique.
MESH :
- diagnostic : Grippe humaine.
- épidémiologie : Grippe humaine.
Pascal (Inist)
- Adulte, Algorithmes, Autosoins, Enfant, Flambées de maladies, Grippe humaine, Humains, Internet, Prise de décision assistée par ordinateur, Réanimation, Soin intensif, Sous-type H1N1 du virus de la grippe A, Syndrome pseudogrippal, Grippe H1N1, Triage, Éducation du patient comme sujet, États-Unis d'Amérique.
Wicri :
- geographic : États-Unis.

English descriptors

KwdEn :
- Adult, Algorithms, Child, Decision Making, Computer-Assisted, Disease Outbreaks, Flulike syndrome, H1N1 influenza, Humans, Influenza A Virus, H1N1 Subtype, Influenza, Human (diagnosis), Influenza, Human (epidemiology), Influenza, Human (therapy), Intensive care, Internet, Patient Education as Topic (methods), Resuscitation, 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.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7115325

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Le document en format XML

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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term>
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<term>Disease Outbreaks</term>
<term>Flulike syndrome</term>
<term>H1N1 influenza</term>
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<term>Influenza A Virus, H1N1 Subtype</term>
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<term>Influenza, Human (epidemiology)</term>
<term>Influenza, Human (therapy)</term>
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<keywords scheme="KwdFr" xml:lang="fr"><term>Adulte</term>
<term>Algorithmes</term>
<term>Autosoins ()</term>
<term>Enfant</term>
<term>Flambées de maladies</term>
<term>Grippe humaine ()</term>
<term>Grippe humaine (diagnostic)</term>
<term>Grippe humaine (épidémiologie)</term>
<term>Humains</term>
<term>Internet</term>
<term>Prise de décision assistée par ordinateur</term>
<term>Sous-type H1N1 du virus de la grippe A</term>
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<term>Éducation du patient comme sujet ()</term>
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<term>Triage</term>
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<term>Child</term>
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<term>Flambées de maladies</term>
<term>Grippe humaine</term>
<term>Humains</term>
<term>Internet</term>
<term>Prise de décision assistée par ordinateur</term>
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<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>
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<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>
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<front><div type="abstract" xml:lang="en"><p>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, <ext-link ext-link-type="uri" xlink:href="http://www.Flu.gov">http://www.Flu.gov</ext-link>
 and <ext-link ext-link-type="uri" xlink:href="http://www.H1N1ResponseCenter.com">http://www.H1N1ResponseCenter.com</ext-link>
, 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.</p>
</div>
</front>
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<author><name sortKey="Grabenstein, J D" uniqKey="Grabenstein J">J.D. Grabenstein</name>
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<author><name sortKey="Jain, A" uniqKey="Jain A">A. Jain</name>
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{{Explor lien
   |wiki=    Sante
   |area=    PandemieGrippaleV1
   |flux=    Main
   |étape=   Curation
   |type=    RBID
   |clé=     Pascal:10-0416708
   |texte=   Web-Based Self-Triage of Influenza-Like Illness During the 2009 H1N1 Influenza Pandemic
}}

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	Serveur d'exploration sur les pandémies grippales
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Serveur d'exploration sur les pandémies grippales

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

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

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