GrippeCanadaV4, Main, Exploration, bibRecordById, pubmed:26574910

Cost-effectiveness analysis of antiviral treatment in the management of seasonal influenza A: point-of-care rapid test versus clinical judgment.

Identifieur interne : 000175 ( Main/Exploration ); précédent : 000174; suivant : 000176

Cost-effectiveness analysis of antiviral treatment in the management of seasonal influenza A: point-of-care rapid test versus clinical judgment.

Auteurs : Léon Nshimyumukiza [Canada] ; Xavier Douville [Canada] ; Diane Fournier [Canada] ; Julie Duplantie [Canada] ; Rana K. Daher [Canada] ; Isabelle Charlebois [Canada] ; Jean Longtin [Canada] ; Jesse Papenburg [Canada] ; Maryse Guay [Canada] ; Maurice Boissinot [Canada] ; Michel G. Bergeron [Canada] ; Denis Boudreau [Canada] ; Christian Gagné [Canada] ; François Rousseau [Canada] ; Daniel Reinharz [Canada]

Source :

Influenza and other respiratory viruses [ 1750-2659 ] ; 2016.

RBID : pubmed:26574910

Descripteurs français

KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Analyse coût-bénéfice (MeSH), Antiviraux (usage thérapeutique), Antiviraux (économie), Canada (épidémiologie), Enfant (MeSH), Grippe humaine (traitement médicamenteux), Grippe humaine (virologie), Grippe humaine (économie), Grippe humaine (épidémiologie), Humains (MeSH), Jeune adulte (MeSH), Jugement (MeSH), Modèles statistiques (MeSH), Prise en charge de la maladie (MeSH), Saisons (MeSH), Sensibilité et spécificité (MeSH), Sujet âgé (MeSH), Systèmes automatisés lit malade (MeSH).
MESH :
- traitement médicamenteux : Grippe humaine.
- usage thérapeutique : Antiviraux.
- virologie : Grippe humaine.
- économie : Antiviraux, Grippe humaine.
- épidémiologie : Canada, Grippe humaine.
- Adolescent, Adulte, Adulte d'âge moyen, Analyse coût-bénéfice, Enfant, Humains, Jeune adulte, Jugement, Modèles statistiques, Prise en charge de la maladie, Saisons, Sensibilité et spécificité, Sujet âgé, Systèmes automatisés lit malade.

English descriptors

KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Antiviral Agents (economics), Antiviral Agents (therapeutic use), Canada (epidemiology), Child (MeSH), Cost-Benefit Analysis (MeSH), Disease Management (MeSH), Humans (MeSH), Influenza, Human (drug therapy), Influenza, Human (economics), Influenza, Human (epidemiology), Influenza, Human (virology), Judgment (MeSH), Middle Aged (MeSH), Models, Statistical (MeSH), Point-of-Care Systems (MeSH), Seasons (MeSH), Sensitivity and Specificity (MeSH), Young Adult (MeSH).
MESH :
- chemical , economics : Antiviral Agents.
- chemical , therapeutic use : Antiviral Agents.
- drug therapy : Influenza, Human.
- economics : Influenza, Human.
- epidemiology : Canada, Influenza, Human.
- virology : Influenza, Human.
- Adolescent, Adult, Aged, Child, Cost-Benefit Analysis, Disease Management, Humans, Judgment, Middle Aged, Models, Statistical, Point-of-Care Systems, Seasons, Sensitivity and Specificity, Young Adult.

Abstract

BACKGROUND

A point-of-care rapid test (POCRT) may help early and targeted use of antiviral drugs for the management of influenza A infection.

OBJECTIVE

(i) To determine whether antiviral treatment based on a POCRT for influenza A is cost-effective and, (ii) to determine the thresholds of key test parameters (sensitivity, specificity and cost) at which a POCRT based-strategy appears to be cost effective.

METHODS

An hybrid « susceptible, infected, recovered (SIR) » compartmental transmission and Markov decision analytic model was used to simulate the cost-effectiveness of antiviral treatment based on a POCRT for influenza A in the social perspective. Data input parameters used were retrieved from peer-review published studies and government databases. The outcome considered was the incremental cost per life-year saved for one seasonal influenza season.

RESULTS

In the base-case analysis, the antiviral treatment based on POCRT saves 2 lives/100,000 person-years and costs $7600 less than the empirical antiviral treatment based on clinical judgment alone, which demonstrates that the POCRT-based strategy is dominant. In one and two way-sensitivity analyses, results were sensitive to the POCRT accuracy and cost, to the vaccination coverage as well as to the prevalence of influenza A. In probabilistic sensitivity analyses, the POCRT strategy is cost-effective in 66% of cases, for a commonly accepted threshold of $50,000 per life-year saved.

CONCLUSION

The influenza antiviral treatment based on POCRT could be cost-effective in specific conditions of performance, price and disease prevalence.

DOI: 10.1111/irv.12359
PubMed: 26574910
PubMed Central: PMC4746566

Affiliations:

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<author><name sortKey="Longtin, Jean" sort="Longtin, Jean" uniqKey="Longtin J" first="Jean" last="Longtin">Jean Longtin</name>
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<author><name sortKey="Boissinot, Maurice" sort="Boissinot, Maurice" uniqKey="Boissinot M" first="Maurice" last="Boissinot">Maurice Boissinot</name>
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<country xml:lang="fr">Canada</country>
<wicri:regionArea>Faculté de sciences et de génie, Département de physique, génie physique et d'optique, Université Laval, Québec, QC</wicri:regionArea>
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</author>
<author><name sortKey="Bergeron, Michel G" sort="Bergeron, Michel G" uniqKey="Bergeron M" first="Michel G" last="Bergeron">Michel G. Bergeron</name>
<affiliation wicri:level="1"><nlm:affiliation>Centre de recherche en infectiologie (CRI), CHU de Québec (CHUQ), Québec, QC, Canada.</nlm:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Centre de recherche en infectiologie (CRI), CHU de Québec (CHUQ), Québec, QC</wicri:regionArea>
<wicri:noRegion>QC</wicri:noRegion>
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<affiliation wicri:level="4"><nlm:affiliation>Faculté de médecine, Département de microbiologie-infectiologie et d'immunologie, Université Laval, Québec, QC, Canada.</nlm:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Faculté de médecine, Département de microbiologie-infectiologie et d'immunologie, Université Laval, Québec, QC</wicri:regionArea>
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<region type="state">Québec</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Boudreau, Denis" sort="Boudreau, Denis" uniqKey="Boudreau D" first="Denis" last="Boudreau">Denis Boudreau</name>
<affiliation wicri:level="4"><nlm:affiliation>Faculté de sciences et de génie, Département de chimie, Université Laval, Québec, QC, Canada.</nlm:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Faculté de sciences et de génie, Département de chimie, Université Laval, Québec, QC</wicri:regionArea>
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</placeName>
</affiliation>
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<author><name sortKey="Gagne, Christian" sort="Gagne, Christian" uniqKey="Gagne C" first="Christian" last="Gagné">Christian Gagné</name>
<affiliation wicri:level="4"><nlm:affiliation>Faculté des sciences et génie, Département de génie électrique, Université Laval, Québec, QC, Canada.</nlm:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Faculté des sciences et génie, Département de génie électrique, Université Laval, Québec, QC</wicri:regionArea>
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<placeName><settlement type="city">Québec (ville)</settlement>
<region type="state">Québec</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Rousseau, Francois" sort="Rousseau, Francois" uniqKey="Rousseau F" first="François" last="Rousseau">François Rousseau</name>
<affiliation wicri:level="4"><nlm:affiliation>Faculté de médecine, Département de biologie moléculaire, biochimie médicale et pathologie, Université Laval, Québec, QC, Canada.</nlm:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Faculté de médecine, Département de biologie moléculaire, biochimie médicale et pathologie, Université Laval, Québec, QC</wicri:regionArea>
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<placeName><settlement type="city">Québec (ville)</settlement>
<region type="state">Québec</region>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Unité de recherche en génétique humaine et moléculaire, Axe Santé des populations et pratiques optimales en santé, Centre de recherche du CHU de Québec (CHUQ), Québec, QC, Canada.</nlm:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Unité de recherche en génétique humaine et moléculaire, Axe Santé des populations et pratiques optimales en santé, Centre de recherche du CHU de Québec (CHUQ), Québec, QC</wicri:regionArea>
<wicri:noRegion>QC</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Reinharz, Daniel" sort="Reinharz, Daniel" uniqKey="Reinharz D" first="Daniel" last="Reinharz">Daniel Reinharz</name>
<affiliation wicri:level="4"><nlm:affiliation>Faculté de Médecine, Département de médecine sociale et préventive, Université Laval, Québec, QC, Canada.</nlm:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Faculté de Médecine, Département de médecine sociale et préventive, Université Laval, Québec, QC</wicri:regionArea>
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<placeName><settlement type="city">Québec (ville)</settlement>
<region type="state">Québec</region>
</placeName>
</affiliation>
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<series><title level="j">Influenza and other respiratory viruses</title>
<idno type="eISSN">1750-2659</idno>
<imprint><date when="2016" type="published">2016</date>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term>
<term>Adult (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Antiviral Agents (economics)</term>
<term>Antiviral Agents (therapeutic use)</term>
<term>Canada (epidemiology)</term>
<term>Child (MeSH)</term>
<term>Cost-Benefit Analysis (MeSH)</term>
<term>Disease Management (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Influenza, Human (drug therapy)</term>
<term>Influenza, Human (economics)</term>
<term>Influenza, Human (epidemiology)</term>
<term>Influenza, Human (virology)</term>
<term>Judgment (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Models, Statistical (MeSH)</term>
<term>Point-of-Care Systems (MeSH)</term>
<term>Seasons (MeSH)</term>
<term>Sensitivity and Specificity (MeSH)</term>
<term>Young Adult (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term>
<term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Analyse coût-bénéfice (MeSH)</term>
<term>Antiviraux (usage thérapeutique)</term>
<term>Antiviraux (économie)</term>
<term>Canada (épidémiologie)</term>
<term>Enfant (MeSH)</term>
<term>Grippe humaine (traitement médicamenteux)</term>
<term>Grippe humaine (virologie)</term>
<term>Grippe humaine (économie)</term>
<term>Grippe humaine (épidémiologie)</term>
<term>Humains (MeSH)</term>
<term>Jeune adulte (MeSH)</term>
<term>Jugement (MeSH)</term>
<term>Modèles statistiques (MeSH)</term>
<term>Prise en charge de la maladie (MeSH)</term>
<term>Saisons (MeSH)</term>
<term>Sensibilité et spécificité (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Systèmes automatisés lit malade (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="economics" xml:lang="en"><term>Antiviral Agents</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="therapeutic use" xml:lang="en"><term>Antiviral Agents</term>
</keywords>
<keywords scheme="MESH" qualifier="drug therapy" xml:lang="en"><term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="economics" xml:lang="en"><term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Canada</term>
<term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="traitement médicamenteux" xml:lang="fr"><term>Grippe humaine</term>
</keywords>
<keywords scheme="MESH" qualifier="usage thérapeutique" xml:lang="fr"><term>Antiviraux</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Grippe humaine</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="économie" xml:lang="fr"><term>Antiviraux</term>
<term>Grippe humaine</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Canada</term>
<term>Grippe humaine</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Child</term>
<term>Cost-Benefit Analysis</term>
<term>Disease Management</term>
<term>Humans</term>
<term>Judgment</term>
<term>Middle Aged</term>
<term>Models, Statistical</term>
<term>Point-of-Care Systems</term>
<term>Seasons</term>
<term>Sensitivity and Specificity</term>
<term>Young Adult</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Analyse coût-bénéfice</term>
<term>Enfant</term>
<term>Humains</term>
<term>Jeune adulte</term>
<term>Jugement</term>
<term>Modèles statistiques</term>
<term>Prise en charge de la maladie</term>
<term>Saisons</term>
<term>Sensibilité et spécificité</term>
<term>Sujet âgé</term>
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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>A point-of-care rapid test (POCRT) may help early and targeted use of antiviral drugs for the management of influenza A infection.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b>
</p>
<p>(i) To determine whether antiviral treatment based on a POCRT for influenza A is cost-effective and, (ii) to determine the thresholds of key test parameters (sensitivity, specificity and cost) at which a POCRT based-strategy appears to be cost effective.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>An hybrid « susceptible, infected, recovered (SIR) » compartmental transmission and Markov decision analytic model was used to simulate the cost-effectiveness of antiviral treatment based on a POCRT for influenza A in the social perspective. Data input parameters used were retrieved from peer-review published studies and government databases. The outcome considered was the incremental cost per life-year saved for one seasonal influenza season.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>In the base-case analysis, the antiviral treatment based on POCRT saves 2 lives/100,000 person-years and costs $7600 less than the empirical antiviral treatment based on clinical judgment alone, which demonstrates that the POCRT-based strategy is dominant. In one and two way-sensitivity analyses, results were sensitive to the POCRT accuracy and cost, to the vaccination coverage as well as to the prevalence of influenza A. In probabilistic sensitivity analyses, the POCRT strategy is cost-effective in 66% of cases, for a commonly accepted threshold of $50,000 per life-year saved.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>The influenza antiviral treatment based on POCRT could be cost-effective in specific conditions of performance, price and disease prevalence.</p>
</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26574910</PMID>
<DateCompleted><Year>2016</Year>
<Month>11</Month>
<Day>03</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>04</Month>
<Day>21</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1750-2659</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>10</Volume>
<Issue>2</Issue>
<PubDate><Year>2016</Year>
<Month>Mar</Month>
</PubDate>
</JournalIssue>
<Title>Influenza and other respiratory viruses</Title>
<ISOAbbreviation>Influenza Other Respir Viruses</ISOAbbreviation>
</Journal>
<ArticleTitle>Cost-effectiveness analysis of antiviral treatment in the management of seasonal influenza A: point-of-care rapid test versus clinical judgment.</ArticleTitle>
<Pagination><MedlinePgn>113-21</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1111/irv.12359</ELocationID>
<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">A point-of-care rapid test (POCRT) may help early and targeted use of antiviral drugs for the management of influenza A infection.</AbstractText>
<AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">(i) To determine whether antiviral treatment based on a POCRT for influenza A is cost-effective and, (ii) to determine the thresholds of key test parameters (sensitivity, specificity and cost) at which a POCRT based-strategy appears to be cost effective.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">An hybrid « susceptible, infected, recovered (SIR) » compartmental transmission and Markov decision analytic model was used to simulate the cost-effectiveness of antiviral treatment based on a POCRT for influenza A in the social perspective. Data input parameters used were retrieved from peer-review published studies and government databases. The outcome considered was the incremental cost per life-year saved for one seasonal influenza season.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">In the base-case analysis, the antiviral treatment based on POCRT saves 2 lives/100,000 person-years and costs $7600 less than the empirical antiviral treatment based on clinical judgment alone, which demonstrates that the POCRT-based strategy is dominant. In one and two way-sensitivity analyses, results were sensitive to the POCRT accuracy and cost, to the vaccination coverage as well as to the prevalence of influenza A. In probabilistic sensitivity analyses, the POCRT strategy is cost-effective in 66% of cases, for a commonly accepted threshold of $50,000 per life-year saved.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">The influenza antiviral treatment based on POCRT could be cost-effective in specific conditions of performance, price and disease prevalence.</AbstractText>
<CopyrightInformation>© 2015 The Authors. Influenza and Other Respiratory Viruses Published by John Wiley & Sons Ltd.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Nshimyumukiza</LastName>
<ForeName>Léon</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Faculté de Médecine, Département de médecine sociale et préventive, Université Laval, Québec, QC, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Douville</LastName>
<ForeName>Xavier</ForeName>
<Initials>X</Initials>
<AffiliationInfo><Affiliation>Faculté des sciences et génie, Département de génie électrique, Université Laval, Québec, QC, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Fournier</LastName>
<ForeName>Diane</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Faculté des sciences et génie, Département de génie électrique, Université Laval, Québec, QC, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Duplantie</LastName>
<ForeName>Julie</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Faculté de Médecine, Département de médecine sociale et préventive, Université Laval, Québec, QC, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Daher</LastName>
<ForeName>Rana K</ForeName>
<Initials>RK</Initials>
<AffiliationInfo><Affiliation>Centre de recherche en infectiologie (CRI), CHU de Québec (CHUQ), Québec, QC, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Charlebois</LastName>
<ForeName>Isabelle</ForeName>
<Initials>I</Initials>
<AffiliationInfo><Affiliation>Centre de recherche en infectiologie (CRI), CHU de Québec (CHUQ), Québec, QC, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Longtin</LastName>
<ForeName>Jean</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Centre de recherche en infectiologie (CRI), CHU de Québec (CHUQ), Québec, QC, Canada.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Faculté de médecine, Département de microbiologie-infectiologie et d'immunologie, Université Laval, Québec, QC, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Papenburg</LastName>
<ForeName>Jesse</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Faculté de Médecine, Département de pédiatrie, Université McGill, Montréal, QC, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Guay</LastName>
<ForeName>Maryse</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Faculté de médecine, Département des sciences de la santé communautaire, Université de Sherbrooke, Longueuil, QC, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Boissinot</LastName>
<ForeName>Maurice</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Faculté de sciences et de génie, Département de physique, génie physique et d'optique, Université Laval, Québec, QC, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Bergeron</LastName>
<ForeName>Michel G</ForeName>
<Initials>MG</Initials>
<AffiliationInfo><Affiliation>Centre de recherche en infectiologie (CRI), CHU de Québec (CHUQ), Québec, QC, Canada.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Faculté de médecine, Département de microbiologie-infectiologie et d'immunologie, Université Laval, Québec, QC, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Boudreau</LastName>
<ForeName>Denis</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Faculté de sciences et de génie, Département de chimie, Université Laval, Québec, QC, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Gagné</LastName>
<ForeName>Christian</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>Faculté des sciences et génie, Département de génie électrique, Université Laval, Québec, QC, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Rousseau</LastName>
<ForeName>François</ForeName>
<Initials>F</Initials>
<AffiliationInfo><Affiliation>Faculté de médecine, Département de biologie moléculaire, biochimie médicale et pathologie, Université Laval, Québec, QC, Canada.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Unité de recherche en génétique humaine et moléculaire, Axe Santé des populations et pratiques optimales en santé, Centre de recherche du CHU de Québec (CHUQ), Québec, QC, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Reinharz</LastName>
<ForeName>Daniel</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Faculté de Médecine, Département de médecine sociale et préventive, Université Laval, Québec, QC, Canada.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
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<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2016</Year>
<Month>01</Month>
<Day>29</Day>
</ArticleDate>
</Article>
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<NlmUniqueID>101304007</NlmUniqueID>
<ISSNLinking>1750-2640</ISSNLinking>
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<Keyword MajorTopicYN="N">seasonal influenza</Keyword>
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Cost-effectiveness analysis of antiviral treatment in the management of seasonal influenza A: point-of-care rapid test versus clinical judgment.

Cost-effectiveness analysis of antiviral treatment in the management of seasonal influenza A: point-of-care rapid test versus clinical judgment.

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