Determination of the relative economic impact of different molecular-based laboratory algorithms for respiratory viral pathogen detection, including Pandemic (H1N1), using a secure web based platform.
Identifieur interne : 000535 ( Main/Exploration ); précédent : 000534; suivant : 000536Determination of the relative economic impact of different molecular-based laboratory algorithms for respiratory viral pathogen detection, including Pandemic (H1N1), using a secure web based platform.
Auteurs : Bonita E. Lee [Canada] ; Shamir N. Mukhi ; Jennifer May-Hadford ; Sabrina Plitt ; Marie Louie ; Steven J. DrewsSource :
- Virology journal [ 1743-422X ] ; 2011.
Descripteurs français
- KwdFr :
- Alberta (épidémiologie), Algorithmes, Coûts des soins de santé (), Humains, Infections de l'appareil respiratoire (diagnostic), Infections de l'appareil respiratoire (épidémiologie), Internet, Maladies virales (diagnostic), Maladies virales (épidémiologie), Modèles statistiques, Systèmes d'information, Techniques de laboratoire clinique (), Techniques de laboratoire clinique (économie).
- MESH :
- diagnostic : Infections de l'appareil respiratoire, Maladies virales.
- économie : Techniques de laboratoire clinique.
- épidémiologie : Alberta, Infections de l'appareil respiratoire, Maladies virales.
- Algorithmes, Coûts des soins de santé, Humains, Internet, Modèles statistiques, Systèmes d'information, Techniques de laboratoire clinique.
English descriptors
- KwdEn :
- Alberta (epidemiology), Algorithms, Clinical Laboratory Techniques (economics), Clinical Laboratory Techniques (methods), Electronic Data Processing, Health Care Costs (statistics & numerical data), Humans, Information Systems, Internet, Models, Statistical, Respiratory Tract Infections (diagnosis), Respiratory Tract Infections (epidemiology), Virus Diseases (diagnosis), Virus Diseases (epidemiology).
- MESH :
- diagnosis : Respiratory Tract Infections, Virus Diseases.
- economics : Clinical Laboratory Techniques.
- epidemiology : Alberta, Respiratory Tract Infections, Virus Diseases.
- methods : Clinical Laboratory Techniques.
- statistics & numerical data : Health Care Costs.
- Algorithms, Electronic Data Processing, Humans, Information Systems, Internet, Models, Statistical.
Abstract
BACKGROUND
During period of crisis, laboratory planners may be faced with a need to make operational and clinical decisions in the face of limited information. To avoid this dilemma, our laboratory utilizes a secure web based platform, Data Integration for Alberta Laboratories (DIAL) to make near real-time decisions.This manuscript utilizes the data collected by DIAL as well as laboratory test cost modeling to identify the relative economic impact of four proposed scenarios of testing for Pandemic H1N1 (2009) and other respiratory viral pathogens.
METHODS
Historical data was collected from the two waves of the pandemic using DIAL. Four proposed molecular testing scenarios were generated: A) Luminex respiratory virus panel (RVP) first with/without US centers for Disease Control Influenza A Matrix gene assay (CDC-M), B) CDC-M first with/without RVP, C) RVP only, and D) CDC-M only. Relative cost estimates of different testing algorithm were generated from a review of historical costs in the lab and were based on 2009 Canadian dollars.
RESULTS
Scenarios A and B had similar costs when the rate of influenza A was low (< 10%) with higher relative cost in Scenario A with increasing incidence. Scenario A provided more information about mixed respiratory virus infection as compared with Scenario B.
CONCLUSIONS
No one approach is applicable to all conditions. Testing costs will vary depending on the test volume, prevalence of influenza A strains, as well as other circulating viruses and a more costly algorithm involving a combination of different tests may be chosen to ensure that tests results are returned to the clinician in a quicker manner. Costing should not be the only consideration for determination of laboratory algorithms.
DOI: 10.1186/1743-422X-8-277
PubMed: 21645365
Affiliations:
Links toward previous steps (curation, corpus...)
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Mukhi</name></author><author><name sortKey="May Hadford, Jennifer" sort="May Hadford, Jennifer" uniqKey="May Hadford J" first="Jennifer" last="May-Hadford">Jennifer May-Hadford</name></author><author><name sortKey="Plitt, Sabrina" sort="Plitt, Sabrina" uniqKey="Plitt S" first="Sabrina" last="Plitt">Sabrina Plitt</name></author><author><name sortKey="Louie, Marie" sort="Louie, Marie" uniqKey="Louie M" first="Marie" last="Louie">Marie Louie</name></author><author><name sortKey="Drews, Steven J" sort="Drews, Steven J" uniqKey="Drews S" first="Steven J" last="Drews">Steven J. 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Lee</name><affiliation wicri:level="1"><nlm:affiliation>University of Calgary, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>University of Calgary</wicri:regionArea></affiliation></author><author><name sortKey="Mukhi, Shamir N" sort="Mukhi, Shamir N" uniqKey="Mukhi S" first="Shamir N" last="Mukhi">Shamir N. Mukhi</name></author><author><name sortKey="May Hadford, Jennifer" sort="May Hadford, Jennifer" uniqKey="May Hadford J" first="Jennifer" last="May-Hadford">Jennifer May-Hadford</name></author><author><name sortKey="Plitt, Sabrina" sort="Plitt, Sabrina" uniqKey="Plitt S" first="Sabrina" last="Plitt">Sabrina Plitt</name></author><author><name sortKey="Louie, Marie" sort="Louie, Marie" uniqKey="Louie M" first="Marie" last="Louie">Marie Louie</name></author><author><name sortKey="Drews, Steven J" sort="Drews, Steven J" uniqKey="Drews S" first="Steven J" last="Drews">Steven J. Drews</name></author></analytic><series><title level="j">Virology journal</title><idno type="eISSN">1743-422X</idno><imprint><date when="2011" type="published">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Alberta (epidemiology)</term><term>Algorithms</term><term>Clinical Laboratory Techniques (economics)</term><term>Clinical Laboratory Techniques (methods)</term><term>Electronic Data Processing</term><term>Health Care Costs (statistics & numerical data)</term><term>Humans</term><term>Information Systems</term><term>Internet</term><term>Models, Statistical</term><term>Respiratory Tract Infections (diagnosis)</term><term>Respiratory Tract Infections (epidemiology)</term><term>Virus Diseases (diagnosis)</term><term>Virus Diseases (epidemiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Alberta (épidémiologie)</term><term>Algorithmes</term><term>Coûts des soins de santé ()</term><term>Humains</term><term>Infections de l'appareil respiratoire (diagnostic)</term><term>Infections de l'appareil respiratoire (épidémiologie)</term><term>Internet</term><term>Maladies virales (diagnostic)</term><term>Maladies virales (épidémiologie)</term><term>Modèles statistiques</term><term>Systèmes d'information</term><term>Techniques de laboratoire clinique ()</term><term>Techniques de laboratoire clinique (économie)</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Respiratory Tract Infections</term><term>Virus Diseases</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Infections de l'appareil respiratoire</term><term>Maladies virales</term></keywords><keywords scheme="MESH" qualifier="economics" xml:lang="en"><term>Clinical Laboratory Techniques</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Alberta</term><term>Respiratory Tract Infections</term><term>Virus Diseases</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Clinical Laboratory Techniques</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Health Care Costs</term></keywords><keywords scheme="MESH" qualifier="économie" xml:lang="fr"><term>Techniques de laboratoire clinique</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Alberta</term><term>Infections de l'appareil respiratoire</term><term>Maladies virales</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Electronic Data Processing</term><term>Humans</term><term>Information Systems</term><term>Internet</term><term>Models, Statistical</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Algorithmes</term><term>Coûts des soins de santé</term><term>Humains</term><term>Internet</term><term>Modèles statistiques</term><term>Systèmes d'information</term><term>Techniques de laboratoire clinique</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>During period of crisis, laboratory planners may be faced with a need to make operational and clinical decisions in the face of limited information. To avoid this dilemma, our laboratory utilizes a secure web based platform, Data Integration for Alberta Laboratories (DIAL) to make near real-time decisions.This manuscript utilizes the data collected by DIAL as well as laboratory test cost modeling to identify the relative economic impact of four proposed scenarios of testing for Pandemic H1N1 (2009) and other respiratory viral pathogens.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>Historical data was collected from the two waves of the pandemic using DIAL. Four proposed molecular testing scenarios were generated: A) Luminex respiratory virus panel (RVP) first with/without US centers for Disease Control Influenza A Matrix gene assay (CDC-M), B) CDC-M first with/without RVP, C) RVP only, and D) CDC-M only. Relative cost estimates of different testing algorithm were generated from a review of historical costs in the lab and were based on 2009 Canadian dollars.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Scenarios A and B had similar costs when the rate of influenza A was low (< 10%) with higher relative cost in Scenario A with increasing incidence. Scenario A provided more information about mixed respiratory virus infection as compared with Scenario B.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>No one approach is applicable to all conditions. Testing costs will vary depending on the test volume, prevalence of influenza A strains, as well as other circulating viruses and a more costly algorithm involving a combination of different tests may be chosen to ensure that tests results are returned to the clinician in a quicker manner. Costing should not be the only consideration for determination of laboratory algorithms.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">21645365</PMID><DateCompleted><Year>2011</Year><Month>09</Month><Day>13</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>01</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1743-422X</ISSN><JournalIssue CitedMedium="Internet"><Volume>8</Volume><PubDate><Year>2011</Year><Month>Jun</Month><Day>06</Day></PubDate></JournalIssue><Title>Virology journal</Title><ISOAbbreviation>Virol. J.</ISOAbbreviation></Journal><ArticleTitle>Determination of the relative economic impact of different molecular-based laboratory algorithms for respiratory viral pathogen detection, including Pandemic (H1N1), using a secure web based platform.</ArticleTitle><Pagination><MedlinePgn>277</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/1743-422X-8-277</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">During period of crisis, laboratory planners may be faced with a need to make operational and clinical decisions in the face of limited information. To avoid this dilemma, our laboratory utilizes a secure web based platform, Data Integration for Alberta Laboratories (DIAL) to make near real-time decisions.This manuscript utilizes the data collected by DIAL as well as laboratory test cost modeling to identify the relative economic impact of four proposed scenarios of testing for Pandemic H1N1 (2009) and other respiratory viral pathogens.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Historical data was collected from the two waves of the pandemic using DIAL. Four proposed molecular testing scenarios were generated: A) Luminex respiratory virus panel (RVP) first with/without US centers for Disease Control Influenza A Matrix gene assay (CDC-M), B) CDC-M first with/without RVP, C) RVP only, and D) CDC-M only. Relative cost estimates of different testing algorithm were generated from a review of historical costs in the lab and were based on 2009 Canadian dollars.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Scenarios A and B had similar costs when the rate of influenza A was low (< 10%) with higher relative cost in Scenario A with increasing incidence. Scenario A provided more information about mixed respiratory virus infection as compared with Scenario B.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">No one approach is applicable to all conditions. Testing costs will vary depending on the test volume, prevalence of influenza A strains, as well as other circulating viruses and a more costly algorithm involving a combination of different tests may be chosen to ensure that tests results are returned to the clinician in a quicker manner. Costing should not be the only consideration for determination of laboratory algorithms.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Lee</LastName><ForeName>Bonita E</ForeName><Initials>BE</Initials><AffiliationInfo><Affiliation>University of Calgary, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mukhi</LastName><ForeName>Shamir N</ForeName><Initials>SN</Initials></Author><Author ValidYN="Y"><LastName>May-Hadford</LastName><ForeName>Jennifer</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Plitt</LastName><ForeName>Sabrina</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Louie</LastName><ForeName>Marie</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Drews</LastName><ForeName>Steven J</ForeName><Initials>SJ</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal 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Drews</name><name sortKey="Louie, Marie" sort="Louie, Marie" uniqKey="Louie M" first="Marie" last="Louie">Marie Louie</name><name sortKey="May Hadford, Jennifer" sort="May Hadford, Jennifer" uniqKey="May Hadford J" first="Jennifer" last="May-Hadford">Jennifer May-Hadford</name><name sortKey="Mukhi, Shamir N" sort="Mukhi, Shamir N" uniqKey="Mukhi S" first="Shamir N" last="Mukhi">Shamir N. Mukhi</name><name sortKey="Plitt, Sabrina" sort="Plitt, Sabrina" uniqKey="Plitt S" first="Sabrina" last="Plitt">Sabrina Plitt</name></noCountry><country name="Canada"><noRegion><name sortKey="Lee, Bonita E" sort="Lee, Bonita E" uniqKey="Lee B" first="Bonita E" last="Lee">Bonita E. Lee</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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