Getting a grippe on severity: a retrospective comparison of influenza-related hospitalizations and deaths captured in reportable disease and administrative data sources in Ontario, Canada.
Identifieur interne : 000027 ( Main/Exploration ); précédent : 000026; suivant : 000028Getting a grippe on severity: a retrospective comparison of influenza-related hospitalizations and deaths captured in reportable disease and administrative data sources in Ontario, Canada.
Auteurs : J Leigh Hobbs [Canada] ; Michael Whelan [Canada] ; Anne-Luise Winter [Canada] ; Michelle Murti [Canada] ; Karin Hohenadel [Canada]Source :
- BMC public health [ 1471-2458 ] ; 2019.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Bases de données factuelles (MeSH), Classification internationale des maladies (MeSH), Déclaration obligatoire (MeSH), Femelle (MeSH), Grippe humaine (mortalité), Hospitalisation (statistiques et données numériques), Humains (MeSH), Hôpitaux (statistiques et données numériques), Mémorisation et recherche des informations (statistiques et données numériques), Ontario (épidémiologie), Reproductibilité des résultats (MeSH), Saisons (MeSH), Sortie du patient (statistiques et données numériques), Sujet âgé (MeSH), Études rétrospectives (MeSH).
- MESH :
- mortalité : Grippe humaine.
- statistiques et données numériques : Hospitalisation, Hôpitaux, Mémorisation et recherche des informations, Sortie du patient.
- épidémiologie : Ontario.
- Adulte, Adulte d'âge moyen, Bases de données factuelles, Classification internationale des maladies, Déclaration obligatoire, Femelle, Humains, Reproductibilité des résultats, Saisons, Sujet âgé, Études rétrospectives.
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Databases, Factual (MeSH), Female (MeSH), Hospitalization (statistics & numerical data), Hospitals (statistics & numerical data), Humans (MeSH), Influenza, Human (mortality), Information Storage and Retrieval (statistics & numerical data), International Classification of Diseases (MeSH), Mandatory Reporting (MeSH), Middle Aged (MeSH), Ontario (epidemiology), Patient Discharge (statistics & numerical data), Reproducibility of Results (MeSH), Retrospective Studies (MeSH), Seasons (MeSH).
- MESH :
- geographic , epidemiology : Ontario.
- mortality : Influenza, Human.
- statistics & numerical data : Hospitalization, Hospitals, Information Storage and Retrieval, Patient Discharge.
- Adult, Aged, Databases, Factual, Female, Humans, International Classification of Diseases, Mandatory Reporting, Middle Aged, Reproducibility of Results, Retrospective Studies, Seasons.
Abstract
BACKGROUND
Since 2009, in Ontario, reportable disease surveillance data has been used for timely in-season estimates of influenza severity (i.e., hospitalizations and deaths). Due to changes in reporting requirements influenza reporting no longer captures these indicators of severity, necessitating exploration of other potential sources of data. The purpose of this study was to complete a retrospective analysis to assess the comparability of influenza-related hospitalizations and deaths captured in the Ontario reportable disease information system to those captured in Ontario's hospital-based discharge database.
METHODS
Hospitalizations and deaths of laboratory-confirmed influenza cases reported during the 2010-11 to 2013-14 influenza seasons were analyzed. Information on hospitalizations and deaths for laboratory-confirmed influenza cases were obtained from two databases; the integrated Public Health Information System, which is the provincial reportable disease database, and the Discharge Abstract Database, which contains information on all in-patient hospital visits using the International Classification of Diseases, 10th Revision, Canada (ICD-10-CA) coding standards. Analyses were completed using the ICD-10 J09 and J10 diagnosis codes as an indicator for laboratory-confirmed influenza, and a secondary analysis included the physician-diagnosed influenza J11 diagnosis code.
RESULTS
For each season, reported hospitalizations for laboratory-confirmed influenza cases in the reportable disease data were higher compared to hospitalizations with J09 and J10 diagnoses codes, but lower when J11 codes were included. The number of deaths was higher in the reportable disease data, whether or not J11 codes were included. For all four seasons, the weekly trends in the number of hospitalizations and deaths were similar for the reportable disease and hospital data (with and without J11), with seasonal peaks occurring during the same week or within 1 week of each other.
CONCLUSION
In our retrospective analyses we found that hospital data provided a reliable estimate of the trends of influenza-related hospitalizations and deaths compared to the reportable disease data for the 2010-11 to 2013-14 influenza seasons in Ontario, but may under-estimate the total seasonal number of deaths. Hospital data could be used for retrospective end-of-season assessments of severity, but due to delays in data availability are unlikely to be timely estimates of severity during in-season surveillance.
DOI: 10.1186/s12889-019-6924-9
PubMed: 31088426
PubMed Central: PMC6518682
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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type="published">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Databases, Factual (MeSH)</term><term>Female (MeSH)</term><term>Hospitalization (statistics & numerical data)</term><term>Hospitals (statistics & numerical data)</term><term>Humans (MeSH)</term><term>Influenza, Human (mortality)</term><term>Information Storage and Retrieval (statistics & numerical data)</term><term>International Classification of Diseases (MeSH)</term><term>Mandatory Reporting (MeSH)</term><term>Middle Aged (MeSH)</term><term>Ontario (epidemiology)</term><term>Patient Discharge (statistics & numerical data)</term><term>Reproducibility of Results (MeSH)</term><term>Retrospective Studies (MeSH)</term><term>Seasons (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Bases de données factuelles (MeSH)</term><term>Classification internationale des maladies (MeSH)</term><term>Déclaration obligatoire (MeSH)</term><term>Femelle (MeSH)</term><term>Grippe humaine (mortalité)</term><term>Hospitalisation (statistiques et données numériques)</term><term>Humains (MeSH)</term><term>Hôpitaux (statistiques et données numériques)</term><term>Mémorisation et recherche des informations (statistiques et données numériques)</term><term>Ontario (épidémiologie)</term><term>Reproductibilité des résultats (MeSH)</term><term>Saisons (MeSH)</term><term>Sortie du patient (statistiques et données numériques)</term><term>Sujet âgé (MeSH)</term><term>Études rétrospectives (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Ontario</term></keywords><keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="mortalité" xml:lang="fr"><term>Grippe humaine</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Hospitalization</term><term>Hospitals</term><term>Information Storage and Retrieval</term><term>Patient Discharge</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Hospitalisation</term><term>Hôpitaux</term><term>Mémorisation et recherche des informations</term><term>Sortie du patient</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Ontario</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Databases, Factual</term><term>Female</term><term>Humans</term><term>International Classification of Diseases</term><term>Mandatory Reporting</term><term>Middle Aged</term><term>Reproducibility of Results</term><term>Retrospective Studies</term><term>Seasons</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Bases de données factuelles</term><term>Classification internationale des maladies</term><term>Déclaration obligatoire</term><term>Femelle</term><term>Humains</term><term>Reproductibilité des résultats</term><term>Saisons</term><term>Sujet âgé</term><term>Études rétrospectives</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Since 2009, in Ontario, reportable disease surveillance data has been used for timely in-season estimates of influenza severity (i.e., hospitalizations and deaths). Due to changes in reporting requirements influenza reporting no longer captures these indicators of severity, necessitating exploration of other potential sources of data. The purpose of this study was to complete a retrospective analysis to assess the comparability of influenza-related hospitalizations and deaths captured in the Ontario reportable disease information system to those captured in Ontario's hospital-based discharge database.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>Hospitalizations and deaths of laboratory-confirmed influenza cases reported during the 2010-11 to 2013-14 influenza seasons were analyzed. Information on hospitalizations and deaths for laboratory-confirmed influenza cases were obtained from two databases; the integrated Public Health Information System, which is the provincial reportable disease database, and the Discharge Abstract Database, which contains information on all in-patient hospital visits using the International Classification of Diseases, 10th Revision, Canada (ICD-10-CA) coding standards. Analyses were completed using the ICD-10 J09 and J10 diagnosis codes as an indicator for laboratory-confirmed influenza, and a secondary analysis included the physician-diagnosed influenza J11 diagnosis code.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>For each season, reported hospitalizations for laboratory-confirmed influenza cases in the reportable disease data were higher compared to hospitalizations with J09 and J10 diagnoses codes, but lower when J11 codes were included. The number of deaths was higher in the reportable disease data, whether or not J11 codes were included. For all four seasons, the weekly trends in the number of hospitalizations and deaths were similar for the reportable disease and hospital data (with and without J11), with seasonal peaks occurring during the same week or within 1 week of each other.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>In our retrospective analyses we found that hospital data provided a reliable estimate of the trends of influenza-related hospitalizations and deaths compared to the reportable disease data for the 2010-11 to 2013-14 influenza seasons in Ontario, but may under-estimate the total seasonal number of deaths. Hospital data could be used for retrospective end-of-season assessments of severity, but due to delays in data availability are unlikely to be timely estimates of severity during in-season surveillance.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">31088426</PMID><DateCompleted><Year>2019</Year><Month>07</Month><Day>30</Day></DateCompleted><DateRevised><Year>2020</Year><Month>02</Month><Day>25</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2458</ISSN><JournalIssue CitedMedium="Internet"><Volume>19</Volume><Issue>1</Issue><PubDate><Year>2019</Year><Month>May</Month><Day>14</Day></PubDate></JournalIssue><Title>BMC public health</Title><ISOAbbreviation>BMC Public Health</ISOAbbreviation></Journal><ArticleTitle>Getting a grippe on severity: a retrospective comparison of influenza-related hospitalizations and deaths captured in reportable disease and administrative data sources in Ontario, Canada.</ArticleTitle><Pagination><MedlinePgn>567</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/s12889-019-6924-9</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Since 2009, in Ontario, reportable disease surveillance data has been used for timely in-season estimates of influenza severity (i.e., hospitalizations and deaths). Due to changes in reporting requirements influenza reporting no longer captures these indicators of severity, necessitating exploration of other potential sources of data. The purpose of this study was to complete a retrospective analysis to assess the comparability of influenza-related hospitalizations and deaths captured in the Ontario reportable disease information system to those captured in Ontario's hospital-based discharge database.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Hospitalizations and deaths of laboratory-confirmed influenza cases reported during the 2010-11 to 2013-14 influenza seasons were analyzed. Information on hospitalizations and deaths for laboratory-confirmed influenza cases were obtained from two databases; the integrated Public Health Information System, which is the provincial reportable disease database, and the Discharge Abstract Database, which contains information on all in-patient hospital visits using the International Classification of Diseases, 10th Revision, Canada (ICD-10-CA) coding standards. Analyses were completed using the ICD-10 J09 and J10 diagnosis codes as an indicator for laboratory-confirmed influenza, and a secondary analysis included the physician-diagnosed influenza J11 diagnosis code.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">For each season, reported hospitalizations for laboratory-confirmed influenza cases in the reportable disease data were higher compared to hospitalizations with J09 and J10 diagnoses codes, but lower when J11 codes were included. The number of deaths was higher in the reportable disease data, whether or not J11 codes were included. For all four seasons, the weekly trends in the number of hospitalizations and deaths were similar for the reportable disease and hospital data (with and without J11), with seasonal peaks occurring during the same week or within 1 week of each other.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">In our retrospective analyses we found that hospital data provided a reliable estimate of the trends of influenza-related hospitalizations and deaths compared to the reportable disease data for the 2010-11 to 2013-14 influenza seasons in Ontario, but may under-estimate the total seasonal number of deaths. Hospital data could be used for retrospective end-of-season assessments of severity, but due to delays in data availability are unlikely to be timely estimates of severity during in-season surveillance.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Hobbs</LastName><ForeName>J Leigh</ForeName><Initials>JL</Initials><Identifier Source="ORCID">http://orcid.org/0000-0001-8404-514X</Identifier><AffiliationInfo><Affiliation>Public Health Ontario, 480 University Avenue, Suite 300, Toronto, Ontario, M5G 1V2, Canada. Leigh.Hobbs@oahpp.ca.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Whelan</LastName><ForeName>Michael</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Public Health Ontario, 480 University Avenue, Suite 300, Toronto, Ontario, M5G 1V2, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Winter</LastName><ForeName>Anne-Luise</ForeName><Initials>AL</Initials><AffiliationInfo><Affiliation>Public Health Ontario, 480 University Avenue, Suite 300, Toronto, Ontario, M5G 1V2, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Murti</LastName><ForeName>Michelle</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Public Health Ontario, 480 University Avenue, Suite 300, Toronto, Ontario, M5G 1V2, Canada.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, Ontario, M5T 3M7, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hohenadel</LastName><ForeName>Karin</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Public Health Ontario, 480 University Avenue, Suite 300, Toronto, Ontario, M5G 1V2, Canada.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2019</Year><Month>05</Month><Day>14</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>BMC Public Health</MedlineTA><NlmUniqueID>100968562</NlmUniqueID><ISSNLinking>1471-2458</ISSNLinking></MedlineJournalInfo><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016208" MajorTopicYN="N">Databases, Factual</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006760" MajorTopicYN="N">Hospitalization</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006761" MajorTopicYN="N">Hospitals</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000401" MajorTopicYN="Y">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016247" MajorTopicYN="N">Information Storage and Retrieval</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D038801" MajorTopicYN="N">International Classification of Diseases</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019221" MajorTopicYN="N">Mandatory Reporting</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009864" MajorTopicYN="N" Type="Geographic">Ontario</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010351" MajorTopicYN="N">Patient Discharge</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015203" MajorTopicYN="N">Reproducibility of Results</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012621" MajorTopicYN="N">Seasons</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Administrative data</Keyword><Keyword MajorTopicYN="N">Discharge data</Keyword><Keyword MajorTopicYN="N">Hospital data</Keyword><Keyword MajorTopicYN="N">Indicators of severity</Keyword><Keyword MajorTopicYN="N">Influenza</Keyword><Keyword MajorTopicYN="N">Reportable disease data</Keyword><Keyword MajorTopicYN="N">Retrospective</Keyword><Keyword MajorTopicYN="N">Surveillance</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2018</Year><Month>12</Month><Day>06</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2019</Year><Month>04</Month><Day>30</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2019</Year><Month>5</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2019</Year><Month>5</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2019</Year><Month>7</Month><Day>31</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">31088426</ArticleId><ArticleId IdType="doi">10.1186/s12889-019-6924-9</ArticleId><ArticleId IdType="pii">10.1186/s12889-019-6924-9</ArticleId><ArticleId IdType="pmc">PMC6518682</ArticleId></ArticleIdList><ReferenceList><Reference><Citation>Public Health Rep. 2011 Jan-Feb;126(1):100-6</Citation><ArticleIdList><ArticleId IdType="pubmed">21337935</ArticleId></ArticleIdList></Reference><Reference><Citation>Vaccine. 2011 Jul 22;29 Suppl 2:B63-9</Citation><ArticleIdList><ArticleId IdType="pubmed">21757107</ArticleId></ArticleIdList></Reference><Reference><Citation>Infect Control Hosp Epidemiol. 2012 Oct;33(10):1064-6</Citation><ArticleIdList><ArticleId IdType="pubmed">22961034</ArticleId></ArticleIdList></Reference><Reference><Citation>PLoS One. 2014 May 29;9(5):e98446</Citation><ArticleIdList><ArticleId IdType="pubmed">24875306</ArticleId></ArticleIdList></Reference><Reference><Citation>Crit Care Med. 2014 Nov;42(11):2325-32</Citation><ArticleIdList><ArticleId IdType="pubmed">25148596</ArticleId></ArticleIdList></Reference><Reference><Citation>J Pediatric Infect Dis Soc. 2013 Mar;2(1):63-6</Citation><ArticleIdList><ArticleId IdType="pubmed">26619444</ArticleId></ArticleIdList></Reference><Reference><Citation>J Pediatric Infect Dis Soc. 2014 Sep;3(3):255-60</Citation><ArticleIdList><ArticleId IdType="pubmed">26625389</ArticleId></ArticleIdList></Reference><Reference><Citation>N C Med J. 2016 Jan-Feb;77(1):15-22</Citation><ArticleIdList><ArticleId IdType="pubmed">26763239</ArticleId></ArticleIdList></Reference><Reference><Citation>PLoS One. 2016 Mar 09;11(3):e0150416</Citation><ArticleIdList><ArticleId IdType="pubmed">26958849</ArticleId></ArticleIdList></Reference><Reference><Citation>BMC Public Health. 2017 Jun 30;17(1):612</Citation><ArticleIdList><ArticleId IdType="pubmed">28666433</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Canada</li></country><region><li>Ontario</li></region><settlement><li>Toronto</li></settlement><orgName><li>Université de Toronto</li></orgName></list><tree><country name="Canada"><noRegion><name sortKey="Hobbs, J Leigh" sort="Hobbs, J Leigh" uniqKey="Hobbs J" first="J Leigh" last="Hobbs">J Leigh Hobbs</name></noRegion><name sortKey="Hohenadel, Karin" sort="Hohenadel, Karin" uniqKey="Hohenadel K" first="Karin" last="Hohenadel">Karin Hohenadel</name><name sortKey="Murti, Michelle" sort="Murti, Michelle" uniqKey="Murti M" first="Michelle" last="Murti">Michelle Murti</name><name sortKey="Murti, Michelle" sort="Murti, Michelle" uniqKey="Murti M" first="Michelle" last="Murti">Michelle Murti</name><name sortKey="Whelan, Michael" sort="Whelan, Michael" uniqKey="Whelan M" first="Michael" last="Whelan">Michael Whelan</name><name sortKey="Winter, Anne Luise" sort="Winter, Anne Luise" uniqKey="Winter A" first="Anne-Luise" last="Winter">Anne-Luise Winter</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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