Cost-effectiveness analysis of hospital infection control response to an epidemic respiratory virus threat.
Identifieur interne : 001913 ( PubMed/Checkpoint ); précédent : 001912; suivant : 001914Cost-effectiveness analysis of hospital infection control response to an epidemic respiratory virus threat.
Auteurs : Yock Young Dan [Singapour] ; Paul A. Tambyah ; Joe Sim ; Jeremy Lim ; Li Yang Hsu ; Wai Leng Chow ; Dale A. Fisher ; Yue Sie Wong ; Khek Yu HoSource :
- Emerging infectious diseases [ 1080-6059 ] ; 2009.
Descripteurs français
- KwdFr :
- MESH :
- Wicri :
- geographic : Singapour.
English descriptors
- KwdEn :
- Cost-Benefit Analysis, Cross Infection (prevention & control), Disease Outbreaks, Humans, Influenza A Virus, H1N1 Subtype, Influenza, Human (epidemiology), Influenza, Human (prevention & control), Markov Chains, Severe Acute Respiratory Syndrome (epidemiology), Severe Acute Respiratory Syndrome (prevention & control), Singapore.
- MESH :
- geographic : Singapore.
- epidemiology : Influenza, Human, Severe Acute Respiratory Syndrome.
- prevention & control : Cross Infection, Influenza, Human, Severe Acute Respiratory Syndrome.
- Cost-Benefit Analysis, Disease Outbreaks, Humans, Influenza A Virus, H1N1 Subtype, Markov Chains.
Abstract
The outbreak of influenza A pandemic (H1N1) 2009 prompted many countries in Asia, previously strongly affected by severe acute respiratory syndrome (SARS), to respond with stringent measures, particularly in preventing outbreaks in hospitals. We studied actual direct costs and cost-effectiveness of different response measures from a hospital perspective in tertiary hospitals in Singapore by simulating outbreaks of SARS, pandemic (H1N1) 2009, and 1918 Spanish influenza. Protection measures targeting only infected patients yielded lowest incremental cost/death averted of 23,000 (US dollars) for pandemic (H1N1) 2009. Enforced protection in high-risk areas (Yellow Alert) and full protection throughout the hospital (Orange Alert) averted deaths but came at an incremental cost of up to $2.5 million/death averted. SARS and Spanish influenza favored more stringent measures. High case-fatality rates, virulence, and high proportion of atypical manifestations impacted cost-effectiveness the most. A calibrated approach in accordance with viral characteristics and community risks may help refine responses to future epidemics.
DOI: 10.3201/eid1512.090902
PubMed: 19961669
Affiliations:
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Fisher</name></author><author><name sortKey="Wong, Yue Sie" sort="Wong, Yue Sie" uniqKey="Wong Y" first="Yue Sie" last="Wong">Yue Sie Wong</name></author><author><name sortKey="Ho, Khek Yu" sort="Ho, Khek Yu" uniqKey="Ho K" first="Khek Yu" last="Ho">Khek Yu Ho</name></author></analytic><series><title level="j">Emerging infectious diseases</title><idno type="eISSN">1080-6059</idno><imprint><date when="2009" type="published">2009</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Cost-Benefit Analysis</term><term>Cross Infection (prevention & control)</term><term>Disease Outbreaks</term><term>Humans</term><term>Influenza A Virus, H1N1 Subtype</term><term>Influenza, Human (epidemiology)</term><term>Influenza, Human (prevention & control)</term><term>Markov Chains</term><term>Severe Acute Respiratory Syndrome (epidemiology)</term><term>Severe Acute Respiratory Syndrome (prevention & control)</term><term>Singapore</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Analyse coût-bénéfice</term><term>Chaines de Markov</term><term>Flambées de maladies</term><term>Grippe humaine ()</term><term>Grippe humaine (épidémiologie)</term><term>Humains</term><term>Infection croisée ()</term><term>Singapour</term><term>Sous-type H1N1 du virus de la grippe A</term><term>Syndrome respiratoire aigu sévère ()</term><term>Syndrome respiratoire aigu sévère (épidémiologie)</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Singapore</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term><term>Severe Acute Respiratory Syndrome</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Cross Infection</term><term>Influenza, Human</term><term>Severe Acute Respiratory Syndrome</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Grippe humaine</term><term>Syndrome respiratoire aigu sévère</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Cost-Benefit Analysis</term><term>Disease Outbreaks</term><term>Humans</term><term>Influenza A Virus, H1N1 Subtype</term><term>Markov Chains</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Analyse coût-bénéfice</term><term>Chaines de Markov</term><term>Flambées de maladies</term><term>Grippe humaine</term><term>Humains</term><term>Infection croisée</term><term>Singapour</term><term>Sous-type H1N1 du virus de la grippe A</term><term>Syndrome respiratoire aigu sévère</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Singapour</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The outbreak of influenza A pandemic (H1N1) 2009 prompted many countries in Asia, previously strongly affected by severe acute respiratory syndrome (SARS), to respond with stringent measures, particularly in preventing outbreaks in hospitals. We studied actual direct costs and cost-effectiveness of different response measures from a hospital perspective in tertiary hospitals in Singapore by simulating outbreaks of SARS, pandemic (H1N1) 2009, and 1918 Spanish influenza. Protection measures targeting only infected patients yielded lowest incremental cost/death averted of 23,000 (US dollars) for pandemic (H1N1) 2009. Enforced protection in high-risk areas (Yellow Alert) and full protection throughout the hospital (Orange Alert) averted deaths but came at an incremental cost of up to $2.5 million/death averted. SARS and Spanish influenza favored more stringent measures. High case-fatality rates, virulence, and high proportion of atypical manifestations impacted cost-effectiveness the most. A calibrated approach in accordance with viral characteristics and community risks may help refine responses to future epidemics.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">19961669</PMID><DateCompleted><Year>2010</Year><Month>02</Month><Day>22</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1080-6059</ISSN><JournalIssue CitedMedium="Internet"><Volume>15</Volume><Issue>12</Issue><PubDate><Year>2009</Year><Month>Dec</Month></PubDate></JournalIssue><Title>Emerging infectious diseases</Title><ISOAbbreviation>Emerging Infect. Dis.</ISOAbbreviation></Journal><ArticleTitle>Cost-effectiveness analysis of hospital infection control response to an epidemic respiratory virus threat.</ArticleTitle><Pagination><MedlinePgn>1909-16</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3201/eid1512.090902</ELocationID><Abstract><AbstractText>The outbreak of influenza A pandemic (H1N1) 2009 prompted many countries in Asia, previously strongly affected by severe acute respiratory syndrome (SARS), to respond with stringent measures, particularly in preventing outbreaks in hospitals. We studied actual direct costs and cost-effectiveness of different response measures from a hospital perspective in tertiary hospitals in Singapore by simulating outbreaks of SARS, pandemic (H1N1) 2009, and 1918 Spanish influenza. Protection measures targeting only infected patients yielded lowest incremental cost/death averted of 23,000 (US dollars) for pandemic (H1N1) 2009. Enforced protection in high-risk areas (Yellow Alert) and full protection throughout the hospital (Orange Alert) averted deaths but came at an incremental cost of up to $2.5 million/death averted. SARS and Spanish influenza favored more stringent measures. High case-fatality rates, virulence, and high proportion of atypical manifestations impacted cost-effectiveness the most. A calibrated approach in accordance with viral characteristics and community risks may help refine responses to future epidemics.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Dan</LastName><ForeName>Yock Young</ForeName><Initials>YY</Initials><AffiliationInfo><Affiliation>National University Health System, Singapore.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tambyah</LastName><ForeName>Paul A</ForeName><Initials>PA</Initials></Author><Author ValidYN="Y"><LastName>Sim</LastName><ForeName>Joe</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Lim</LastName><ForeName>Jeremy</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Hsu</LastName><ForeName>Li Yang</ForeName><Initials>LY</Initials></Author><Author ValidYN="Y"><LastName>Chow</LastName><ForeName>Wai Leng</ForeName><Initials>WL</Initials></Author><Author ValidYN="Y"><LastName>Fisher</LastName><ForeName>Dale A</ForeName><Initials>DA</Initials></Author><Author ValidYN="Y"><LastName>Wong</LastName><ForeName>Yue Sie</ForeName><Initials>YS</Initials></Author><Author ValidYN="Y"><LastName>Ho</LastName><ForeName>Khek Yu</ForeName><Initials>KY</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Emerg Infect Dis</MedlineTA><NlmUniqueID>9508155</NlmUniqueID><ISSNLinking>1080-6040</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D003362" MajorTopicYN="N">Cost-Benefit Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003428" MajorTopicYN="N">Cross Infection</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004196" MajorTopicYN="Y">Disease Outbreaks</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D053118" MajorTopicYN="Y">Influenza A Virus, H1N1 Subtype</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008390" MajorTopicYN="N">Markov Chains</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D045169" MajorTopicYN="N">Severe Acute Respiratory Syndrome</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012846" MajorTopicYN="N" Type="Geographic">Singapore</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2009</Year><Month>12</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2009</Year><Month>12</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2010</Year><Month>2</Month><Day>23</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">19961669</ArticleId><ArticleId IdType="pmc">PMC3044543</ArticleId><ArticleId IdType="doi">10.3201/eid1512.090902</ArticleId></ArticleIdList><ReferenceList><Reference><Citation>J Clin Invest. 1959 Jan;38(1 Part 2):199-212</Citation><ArticleIdList><ArticleId IdType="pubmed">13620783</ArticleId></ArticleIdList></Reference><Reference><Citation>J Infect Dis. 1998 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Wai Leng" sort="Chow, Wai Leng" uniqKey="Chow W" first="Wai Leng" last="Chow">Wai Leng Chow</name><name sortKey="Fisher, Dale A" sort="Fisher, Dale A" uniqKey="Fisher D" first="Dale A" last="Fisher">Dale A. Fisher</name><name sortKey="Ho, Khek Yu" sort="Ho, Khek Yu" uniqKey="Ho K" first="Khek Yu" last="Ho">Khek Yu Ho</name><name sortKey="Hsu, Li Yang" sort="Hsu, Li Yang" uniqKey="Hsu L" first="Li Yang" last="Hsu">Li Yang Hsu</name><name sortKey="Lim, Jeremy" sort="Lim, Jeremy" uniqKey="Lim J" first="Jeremy" last="Lim">Jeremy Lim</name><name sortKey="Sim, Joe" sort="Sim, Joe" uniqKey="Sim J" first="Joe" last="Sim">Joe Sim</name><name sortKey="Tambyah, Paul A" sort="Tambyah, Paul A" uniqKey="Tambyah P" first="Paul A" last="Tambyah">Paul A. Tambyah</name><name sortKey="Wong, Yue Sie" sort="Wong, Yue Sie" uniqKey="Wong Y" first="Yue Sie" last="Wong">Yue Sie Wong</name></noCountry><country name="Singapour"><noRegion><name sortKey="Dan, Yock Young" sort="Dan, Yock Young" uniqKey="Dan Y" first="Yock Young" last="Dan">Yock Young Dan</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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