The use of syndromic surveillance for decision-making during the H1N1 pandemic: a qualitative study.
Identifieur interne : 000395 ( Main/Exploration ); précédent : 000394; suivant : 000396The use of syndromic surveillance for decision-making during the H1N1 pandemic: a qualitative study.
Auteurs : Anna Chu [Canada] ; Rachel Savage ; Don Willison ; Natasha S. Crowcroft ; Laura C. Rosella ; Doug Sider ; Jason Garay ; Ian Gemmill ; Anne-Luise Winter ; Richard F. Davies ; Ian JohnsonSource :
- BMC public health [ 1471-2458 ] ; 2012.
Descripteurs français
- KwdFr :
- Collecte de données, Entretiens comme sujet, Grippe humaine (épidémiologie), Humains, Ontario (épidémiologie), Pandémies, Personnel administratif (psychologie), Prise de décision, Recherche qualitative, Santé publique (normes), Sous-type H1N1 du virus de la grippe A (isolement et purification), Surveillance sentinelle, Systèmes informatiques, Évaluation des risques.
- MESH :
- isolement et purification : Sous-type H1N1 du virus de la grippe A.
- normes : Santé publique.
- psychologie : Personnel administratif.
- épidémiologie : Grippe humaine, Ontario.
- Collecte de données, Entretiens comme sujet, Humains, Pandémies, Prise de décision, Recherche qualitative, Surveillance sentinelle, Systèmes informatiques, Évaluation des risques.
English descriptors
- KwdEn :
- Administrative Personnel (psychology), Computer Systems, Data Collection, Decision Making, Humans, Influenza A Virus, H1N1 Subtype (isolation & purification), Influenza, Human (epidemiology), Interviews as Topic, Ontario (epidemiology), Pandemics, Public Health (standards), Qualitative Research, Risk Assessment, Sentinel Surveillance.
- MESH :
- geographic , epidemiology : Ontario.
- epidemiology : Influenza, Human.
- isolation & purification : Influenza A Virus, H1N1 Subtype.
- psychology : Administrative Personnel.
- standards : Public Health.
- Computer Systems, Data Collection, Decision Making, Humans, Interviews as Topic, Pandemics, Qualitative Research, Risk Assessment, Sentinel Surveillance.
Abstract
BACKGROUND
Although an increasing number of studies are documenting uses of syndromic surveillance by front line public health, few detail the value added from linking syndromic data to public health decision-making. This study seeks to understand how syndromic data informed specific public health actions during the 2009 H1N1 pandemic.
METHODS
Semi-structured telephone interviews were conducted with participants from Ontario's public health departments, the provincial ministry of health and federal public health agency to gather information about syndromic surveillance systems used and the role of syndromic data in informing specific public health actions taken during the pandemic. Responses were compared with how the same decisions were made by non-syndromic surveillance users.
RESULTS
Findings from 56 interviews (82% response) show that syndromic data were most used for monitoring virus activity, measuring impact on the health care system and informing the opening of influenza assessment centres in several jurisdictions, and supporting communications and messaging, rather than its intended purpose of early outbreak detection. Syndromic data had limited impact on decisions that involved the operation of immunization clinics, school closures, sending information letters home with school children or providing recommendations to health care providers. Both syndromic surveillance users and non-users reported that guidance from the provincial ministry of health, communications with stakeholders and vaccine availability were driving factors in these public health decisions.
CONCLUSIONS
Syndromic surveillance had limited use in decision-making during the 2009 H1N1 pandemic in Ontario. This study provides insights into the reasons why this occurred. Despite this, syndromic data were valued for providing situational awareness and confidence to support public communications and recommendations. Developing an understanding of how syndromic data are utilized during public health events provides valuable evidence to support future investments in public health surveillance.
DOI: 10.1186/1471-2458-12-929
PubMed: 23110473
Affiliations:
Links toward previous steps (curation, corpus...)
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Crowcroft</name></author><author><name sortKey="Rosella, Laura C" sort="Rosella, Laura C" uniqKey="Rosella L" first="Laura C" last="Rosella">Laura C. Rosella</name></author><author><name sortKey="Sider, Doug" sort="Sider, Doug" uniqKey="Sider D" first="Doug" last="Sider">Doug Sider</name></author><author><name sortKey="Garay, Jason" sort="Garay, Jason" uniqKey="Garay J" first="Jason" last="Garay">Jason Garay</name></author><author><name sortKey="Gemmill, Ian" sort="Gemmill, Ian" uniqKey="Gemmill I" first="Ian" last="Gemmill">Ian Gemmill</name></author><author><name sortKey="Winter, Anne Luise" sort="Winter, Anne Luise" uniqKey="Winter A" first="Anne-Luise" last="Winter">Anne-Luise Winter</name></author><author><name sortKey="Davies, Richard F" sort="Davies, Richard F" uniqKey="Davies R" first="Richard F" last="Davies">Richard F. 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Crowcroft</name></author><author><name sortKey="Rosella, Laura C" sort="Rosella, Laura C" uniqKey="Rosella L" first="Laura C" last="Rosella">Laura C. Rosella</name></author><author><name sortKey="Sider, Doug" sort="Sider, Doug" uniqKey="Sider D" first="Doug" last="Sider">Doug Sider</name></author><author><name sortKey="Garay, Jason" sort="Garay, Jason" uniqKey="Garay J" first="Jason" last="Garay">Jason Garay</name></author><author><name sortKey="Gemmill, Ian" sort="Gemmill, Ian" uniqKey="Gemmill I" first="Ian" last="Gemmill">Ian Gemmill</name></author><author><name sortKey="Winter, Anne Luise" sort="Winter, Anne Luise" uniqKey="Winter A" first="Anne-Luise" last="Winter">Anne-Luise Winter</name></author><author><name sortKey="Davies, Richard F" sort="Davies, Richard F" uniqKey="Davies R" first="Richard F" last="Davies">Richard F. Davies</name></author><author><name sortKey="Johnson, Ian" sort="Johnson, Ian" uniqKey="Johnson I" first="Ian" last="Johnson">Ian Johnson</name></author></analytic><series><title level="j">BMC public health</title><idno type="eISSN">1471-2458</idno><imprint><date when="2012" type="published">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Administrative Personnel (psychology)</term><term>Computer Systems</term><term>Data Collection</term><term>Decision Making</term><term>Humans</term><term>Influenza A Virus, H1N1 Subtype (isolation & purification)</term><term>Influenza, Human (epidemiology)</term><term>Interviews as Topic</term><term>Ontario (epidemiology)</term><term>Pandemics</term><term>Public Health (standards)</term><term>Qualitative Research</term><term>Risk Assessment</term><term>Sentinel Surveillance</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Collecte de données</term><term>Entretiens comme sujet</term><term>Grippe humaine (épidémiologie)</term><term>Humains</term><term>Ontario (épidémiologie)</term><term>Pandémies</term><term>Personnel administratif (psychologie)</term><term>Prise de décision</term><term>Recherche qualitative</term><term>Santé publique (normes)</term><term>Sous-type H1N1 du virus de la grippe A (isolement et purification)</term><term>Surveillance sentinelle</term><term>Systèmes informatiques</term><term>Évaluation des risques</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Ontario</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Influenza A Virus, H1N1 Subtype</term></keywords><keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Sous-type H1N1 du virus de la grippe A</term></keywords><keywords scheme="MESH" qualifier="normes" xml:lang="fr"><term>Santé publique</term></keywords><keywords scheme="MESH" qualifier="psychologie" xml:lang="fr"><term>Personnel administratif</term></keywords><keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>Administrative Personnel</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Public Health</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Grippe humaine</term><term>Ontario</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Computer Systems</term><term>Data Collection</term><term>Decision Making</term><term>Humans</term><term>Interviews as Topic</term><term>Pandemics</term><term>Qualitative Research</term><term>Risk Assessment</term><term>Sentinel Surveillance</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Collecte de données</term><term>Entretiens comme sujet</term><term>Humains</term><term>Pandémies</term><term>Prise de décision</term><term>Recherche qualitative</term><term>Surveillance sentinelle</term><term>Systèmes informatiques</term><term>Évaluation des risques</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Although an increasing number of studies are documenting uses of syndromic surveillance by front line public health, few detail the value added from linking syndromic data to public health decision-making. This study seeks to understand how syndromic data informed specific public health actions during the 2009 H1N1 pandemic.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>Semi-structured telephone interviews were conducted with participants from Ontario's public health departments, the provincial ministry of health and federal public health agency to gather information about syndromic surveillance systems used and the role of syndromic data in informing specific public health actions taken during the pandemic. Responses were compared with how the same decisions were made by non-syndromic surveillance users.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Findings from 56 interviews (82% response) show that syndromic data were most used for monitoring virus activity, measuring impact on the health care system and informing the opening of influenza assessment centres in several jurisdictions, and supporting communications and messaging, rather than its intended purpose of early outbreak detection. Syndromic data had limited impact on decisions that involved the operation of immunization clinics, school closures, sending information letters home with school children or providing recommendations to health care providers. Both syndromic surveillance users and non-users reported that guidance from the provincial ministry of health, communications with stakeholders and vaccine availability were driving factors in these public health decisions.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>Syndromic surveillance had limited use in decision-making during the 2009 H1N1 pandemic in Ontario. This study provides insights into the reasons why this occurred. Despite this, syndromic data were valued for providing situational awareness and confidence to support public communications and recommendations. Developing an understanding of how syndromic data are utilized during public health events provides valuable evidence to support future investments in public health surveillance.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23110473</PMID><DateCompleted><Year>2014</Year><Month>07</Month><Day>02</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2458</ISSN><JournalIssue CitedMedium="Internet"><Volume>12</Volume><PubDate><Year>2012</Year><Month>Oct</Month><Day>30</Day></PubDate></JournalIssue><Title>BMC public health</Title><ISOAbbreviation>BMC Public Health</ISOAbbreviation></Journal><ArticleTitle>The use of syndromic surveillance for decision-making during the H1N1 pandemic: a qualitative study.</ArticleTitle><Pagination><MedlinePgn>929</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/1471-2458-12-929</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Although an increasing number of studies are documenting uses of syndromic surveillance by front line public health, few detail the value added from linking syndromic data to public health decision-making. This study seeks to understand how syndromic data informed specific public health actions during the 2009 H1N1 pandemic.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Semi-structured telephone interviews were conducted with participants from Ontario's public health departments, the provincial ministry of health and federal public health agency to gather information about syndromic surveillance systems used and the role of syndromic data in informing specific public health actions taken during the pandemic. Responses were compared with how the same decisions were made by non-syndromic surveillance users.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Findings from 56 interviews (82% response) show that syndromic data were most used for monitoring virus activity, measuring impact on the health care system and informing the opening of influenza assessment centres in several jurisdictions, and supporting communications and messaging, rather than its intended purpose of early outbreak detection. Syndromic data had limited impact on decisions that involved the operation of immunization clinics, school closures, sending information letters home with school children or providing recommendations to health care providers. Both syndromic surveillance users and non-users reported that guidance from the provincial ministry of health, communications with stakeholders and vaccine availability were driving factors in these public health decisions.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Syndromic surveillance had limited use in decision-making during the 2009 H1N1 pandemic in Ontario. This study provides insights into the reasons why this occurred. Despite this, syndromic data were valued for providing situational awareness and confidence to support public communications and recommendations. Developing an understanding of how syndromic data are utilized during public health events provides valuable evidence to support future investments in public health surveillance.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Chu</LastName><ForeName>Anna</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Public Health Ontario, Toronto, ON, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Savage</LastName><ForeName>Rachel</ForeName><Initials>R</Initials></Author><Author ValidYN="Y"><LastName>Willison</LastName><ForeName>Don</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><LastName>Crowcroft</LastName><ForeName>Natasha S</ForeName><Initials>NS</Initials></Author><Author ValidYN="Y"><LastName>Rosella</LastName><ForeName>Laura C</ForeName><Initials>LC</Initials></Author><Author ValidYN="Y"><LastName>Sider</LastName><ForeName>Doug</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><LastName>Garay</LastName><ForeName>Jason</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Gemmill</LastName><ForeName>Ian</ForeName><Initials>I</Initials></Author><Author ValidYN="Y"><LastName>Winter</LastName><ForeName>Anne-Luise</ForeName><Initials>AL</Initials></Author><Author ValidYN="Y"><LastName>Davies</LastName><ForeName>Richard F</ForeName><Initials>RF</Initials></Author><Author ValidYN="Y"><LastName>Johnson</LastName><ForeName>Ian</ForeName><Initials>I</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>H1N-104055</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>2012</Year><Month>10</Month><Day>30</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>BMC Public Health</MedlineTA><NlmUniqueID>100968562</NlmUniqueID><ISSNLinking>1471-2458</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000288" MajorTopicYN="N">Administrative Personnel</DescriptorName><QualifierName UI="Q000523" MajorTopicYN="N">psychology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003199" MajorTopicYN="N">Computer Systems</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003625" MajorTopicYN="N">Data Collection</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003657" MajorTopicYN="Y">Decision Making</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D053118" MajorTopicYN="Y">Influenza A Virus, H1N1 Subtype</DescriptorName><QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007407" MajorTopicYN="N">Interviews as Topic</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009864" MajorTopicYN="N" Type="Geographic">Ontario</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011634" MajorTopicYN="N">Public Health</DescriptorName><QualifierName UI="Q000592" MajorTopicYN="Y">standards</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D036301" MajorTopicYN="N">Qualitative Research</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018570" MajorTopicYN="N">Risk Assessment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018571" MajorTopicYN="Y">Sentinel Surveillance</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2012</Year><Month>05</Month><Day>10</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2012</Year><Month>10</Month><Day>11</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2012</Year><Month>11</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2012</Year><Month>11</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>7</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId 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IdType="pubmed">18032426</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Canada</li></country></list><tree><noCountry><name sortKey="Crowcroft, Natasha S" sort="Crowcroft, Natasha S" uniqKey="Crowcroft N" first="Natasha S" last="Crowcroft">Natasha S. Crowcroft</name><name sortKey="Davies, Richard F" sort="Davies, Richard F" uniqKey="Davies R" first="Richard F" last="Davies">Richard F. Davies</name><name sortKey="Garay, Jason" sort="Garay, Jason" uniqKey="Garay J" first="Jason" last="Garay">Jason Garay</name><name sortKey="Gemmill, Ian" sort="Gemmill, Ian" uniqKey="Gemmill I" first="Ian" last="Gemmill">Ian Gemmill</name><name sortKey="Johnson, Ian" sort="Johnson, Ian" uniqKey="Johnson I" first="Ian" last="Johnson">Ian Johnson</name><name sortKey="Rosella, Laura C" sort="Rosella, Laura C" uniqKey="Rosella L" first="Laura C" last="Rosella">Laura C. Rosella</name><name sortKey="Savage, Rachel" sort="Savage, Rachel" uniqKey="Savage R" first="Rachel" last="Savage">Rachel Savage</name><name sortKey="Sider, Doug" sort="Sider, Doug" uniqKey="Sider D" first="Doug" last="Sider">Doug Sider</name><name sortKey="Willison, Don" sort="Willison, Don" uniqKey="Willison D" first="Don" last="Willison">Don Willison</name><name sortKey="Winter, Anne Luise" sort="Winter, Anne Luise" uniqKey="Winter A" first="Anne-Luise" last="Winter">Anne-Luise Winter</name></noCountry><country name="Canada"><noRegion><name sortKey="Chu, Anna" sort="Chu, Anna" uniqKey="Chu A" first="Anna" last="Chu">Anna Chu</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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