Outpatient physician billing data for age and setting specific syndromic surveillance of influenza-like illnesses.
Identifieur interne : 000500 ( Main/Exploration ); précédent : 000499; suivant : 000501Outpatient physician billing data for age and setting specific syndromic surveillance of influenza-like illnesses.
Auteurs : Emily H. Chan [Canada] ; Robyn Tamblyn ; Katia M L. Charland ; David L. BuckeridgeSource :
- Journal of biomedical informatics [ 1532-0480 ] ; 2011.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : Quebec.
- epidemiology : Influenza, Human.
- methods : Population Surveillance.
- prevention & control : Disease Outbreaks, Influenza, Human.
- Databases, Factual, Fee-for-Service Plans, Humans, Outpatients, Physicians.
Abstract
Syndromic surveillance is a novel automated approach to monitoring influenza activity, but there is no consensus regarding the most informative data sources for use within such a system. By comparing physician billing data from Quebec, Canada and hospital admission records, we assessed the timeliness of medical visits for influenza-like illnesses (ILI) to two types of outpatient healthcare settings. Overall, ILI visits by children aged 5-17 years at community-based settings were the most strongly correlated with hospital admissions and gave the greatest lead over hospital admissions. However, a degree of year-to-year variation suggests that syndromic surveillance of influenza should not focus on just a single subgroup. These findings reveal the richness of these real-time data for epidemic monitoring and demonstrate the flexibility of syndromic surveillance. By using real-time data, an evolving epidemic can be rapidly characterized by its epidemiological patterns, which is not possible with traditional surveillance systems.
DOI: 10.1016/j.jbi.2010.10.001
PubMed: 20951829
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Chan</name><affiliation wicri:level="4"><nlm:affiliation>McGill University, 1140 Pine Avenue West, Montreal, Quebec, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>McGill University, 1140 Pine Avenue West, Montreal, Quebec</wicri:regionArea><orgName type="university">Université McGill</orgName><placeName><settlement type="city">Montréal</settlement><region type="state">Québec</region></placeName></affiliation></author><author><name sortKey="Tamblyn, Robyn" sort="Tamblyn, Robyn" uniqKey="Tamblyn R" first="Robyn" last="Tamblyn">Robyn Tamblyn</name></author><author><name sortKey="Charland, Katia M L" sort="Charland, Katia M L" uniqKey="Charland K" first="Katia M L" last="Charland">Katia M L. Charland</name></author><author><name sortKey="Buckeridge, David L" sort="Buckeridge, David L" uniqKey="Buckeridge D" first="David L" last="Buckeridge">David L. 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By comparing physician billing data from Quebec, Canada and hospital admission records, we assessed the timeliness of medical visits for influenza-like illnesses (ILI) to two types of outpatient healthcare settings. Overall, ILI visits by children aged 5-17 years at community-based settings were the most strongly correlated with hospital admissions and gave the greatest lead over hospital admissions. However, a degree of year-to-year variation suggests that syndromic surveillance of influenza should not focus on just a single subgroup. These findings reveal the richness of these real-time data for epidemic monitoring and demonstrate the flexibility of syndromic surveillance. By using real-time data, an evolving epidemic can be rapidly characterized by its epidemiological patterns, which is not possible with traditional surveillance systems.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">20951829</PMID><DateCompleted><Year>2011</Year><Month>07</Month><Day>22</Day></DateCompleted><DateRevised><Year>2011</Year><Month>03</Month><Day>23</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1532-0480</ISSN><JournalIssue CitedMedium="Internet"><Volume>44</Volume><Issue>2</Issue><PubDate><Year>2011</Year><Month>Apr</Month></PubDate></JournalIssue><Title>Journal of biomedical informatics</Title><ISOAbbreviation>J Biomed Inform</ISOAbbreviation></Journal><ArticleTitle>Outpatient physician billing data for age and setting specific syndromic surveillance of influenza-like illnesses.</ArticleTitle><Pagination><MedlinePgn>221-8</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.jbi.2010.10.001</ELocationID><Abstract><AbstractText>Syndromic surveillance is a novel automated approach to monitoring influenza activity, but there is no consensus regarding the most informative data sources for use within such a system. By comparing physician billing data from Quebec, Canada and hospital admission records, we assessed the timeliness of medical visits for influenza-like illnesses (ILI) to two types of outpatient healthcare settings. Overall, ILI visits by children aged 5-17 years at community-based settings were the most strongly correlated with hospital admissions and gave the greatest lead over hospital admissions. However, a degree of year-to-year variation suggests that syndromic surveillance of influenza should not focus on just a single subgroup. These findings reveal the richness of these real-time data for epidemic monitoring and demonstrate the flexibility of syndromic surveillance. By using real-time data, an evolving epidemic can be rapidly characterized by its epidemiological patterns, which is not possible with traditional surveillance systems.</AbstractText><CopyrightInformation>Copyright © 2010 Elsevier Inc. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Chan</LastName><ForeName>Emily H</ForeName><Initials>EH</Initials><AffiliationInfo><Affiliation>McGill University, 1140 Pine Avenue West, Montreal, Quebec, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tamblyn</LastName><ForeName>Robyn</ForeName><Initials>R</Initials></Author><Author ValidYN="Y"><LastName>Charland</LastName><ForeName>Katia M L</ForeName><Initials>KM</Initials></Author><Author ValidYN="Y"><LastName>Buckeridge</LastName><ForeName>David L</ForeName><Initials>DL</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>PAN-83152</GrantID><Agency>Canadian Institutes of Health Research</Agency><Country>Canada</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2010</Year><Month>10</Month><Day>15</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Biomed Inform</MedlineTA><NlmUniqueID>100970413</NlmUniqueID><ISSNLinking>1532-0464</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D016208" MajorTopicYN="N">Databases, Factual</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004196" MajorTopicYN="N">Disease Outbreaks</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018588" MajorTopicYN="N">Fee-for-Service Plans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</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="D010045" MajorTopicYN="Y">Outpatients</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010820" MajorTopicYN="N">Physicians</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011159" MajorTopicYN="N">Population Surveillance</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011792" MajorTopicYN="N" Type="Geographic">Quebec</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2010</Year><Month>01</Month><Day>13</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2010</Year><Month>09</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2010</Year><Month>10</Month><Day>11</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2010</Year><Month>10</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2010</Year><Month>10</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2011</Year><Month>7</Month><Day>23</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">20951829</ArticleId><ArticleId IdType="pii">S1532-0464(10)00153-X</ArticleId><ArticleId IdType="doi">10.1016/j.jbi.2010.10.001</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Canada</li></country><region><li>Québec</li></region><settlement><li>Montréal</li></settlement><orgName><li>Université McGill</li></orgName></list><tree><noCountry><name sortKey="Buckeridge, David L" sort="Buckeridge, David L" uniqKey="Buckeridge D" first="David L" last="Buckeridge">David L. Buckeridge</name><name sortKey="Charland, Katia M L" sort="Charland, Katia M L" uniqKey="Charland K" first="Katia M L" last="Charland">Katia M L. Charland</name><name sortKey="Tamblyn, Robyn" sort="Tamblyn, Robyn" uniqKey="Tamblyn R" first="Robyn" last="Tamblyn">Robyn Tamblyn</name></noCountry><country name="Canada"><region name="Québec"><name sortKey="Chan, Emily H" sort="Chan, Emily H" uniqKey="Chan E" first="Emily H" last="Chan">Emily H. Chan</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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