Establishing an ICD-10 code based SARI-surveillance in Germany - description of the system and first results from five recent influenza seasons.
Identifieur interne : 000060 ( Main/Exploration ); précédent : 000059; suivant : 000061Establishing an ICD-10 code based SARI-surveillance in Germany - description of the system and first results from five recent influenza seasons.
Auteurs : S. Buda [Allemagne] ; K. Tolksdorf [Allemagne] ; E. Schuler [Allemagne] ; R. Kuhlen [Allemagne] ; W. Haas [Allemagne]Source :
- BMC public health [ 1471-2458 ] ; 2017.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Allemagne, Classification internationale des maladies (normes), Enfant, Enfant d'âge préscolaire, Femelle, Grippe humaine (épidémiologie), Humains, Hôpitaux, Infections de l'appareil respiratoire (épidémiologie), Jeune adulte, Mâle, Nourrisson, Répartition par âge, Saisons, Soins de santé primaires, Sujet âgé, Surveillance sentinelle, Syndrome respiratoire aigu sévère (épidémiologie), Études rétrospectives.
- MESH :
- normes : Classification internationale des maladies.
- épidémiologie : Grippe humaine, Infections de l'appareil respiratoire, Syndrome respiratoire aigu sévère.
- Adolescent, Adulte, Adulte d'âge moyen, Allemagne, Enfant, Enfant d'âge préscolaire, Femelle, Humains, Hôpitaux, Jeune adulte, Mâle, Nourrisson, Répartition par âge, Saisons, Soins de santé primaires, Sujet âgé, Surveillance sentinelle, Études rétrospectives.
English descriptors
- KwdEn :
- Adolescent, Adult, Age Distribution, Aged, Child, Child, Preschool, Female, Germany, Hospitals, Humans, Infant, Influenza, Human (epidemiology), International Classification of Diseases (standards), Male, Middle Aged, Primary Health Care, Respiratory Tract Infections (epidemiology), Retrospective Studies, Seasons, Sentinel Surveillance, Severe Acute Respiratory Syndrome (epidemiology), Young Adult.
- MESH :
- epidemiology : Influenza, Human, Respiratory Tract Infections, Severe Acute Respiratory Syndrome.
- standards : International Classification of Diseases.
- Adolescent, Adult, Age Distribution, Aged, Child, Child, Preschool, Female, Germany, Hospitals, Humans, Infant, Male, Middle Aged, Primary Health Care, Retrospective Studies, Seasons, Sentinel Surveillance, Young Adult.
Abstract
BACKGROUND
Syndromic surveillance of severe acute respiratory infections (SARI) is important to assess seriousness of disease as recommended by WHO for influenza. In 2015 the Robert Koch Institute (RKI) started to collaborate with a private hospital network to develop a SARI surveillance system using case-based data on ICD-10 codes. This first-time description of the system shows its application to the analysis of five influenza seasons.
METHODS
Since week 40/2015, weekly updated anonymized data on discharged patients overall and on patients with respiratory illness including ICD-10 codes of primary and secondary diagnoses are transferred from the network data center to RKI. Retrospective datasets were also provided. Our descriptive analysis is based on data of 47 sentinel hospitals collected between weeks 1/2012 to 20/2016. We applied three different SARI case definitions (CD) based on ICD-10 codes for discharge diagnoses of respiratory tract infections (J09 - J22): basic CD (BCD), using only primary diagnoses; sensitive CD (SCD), using primary and secondary diagnoses; timely CD (TCD), using only primary diagnoses of patients hospitalized up to one week. We compared the CD with regard to severity, age distribution and timeliness and with results from the national primary care sentinel system.
RESULTS
The 47 sentinel hospitals covered 3.6% of patients discharged from all German hospitals in 2013. The SCD comprised 2.2 times patients as the BCD, and 3.6 times as many as the TCD. Time course of SARI cases corresponded well to results from primary care surveillance and influenza virus circulation. The patients fulfilling the TCD had been completely reported after 3 weeks, which was fastest among the CD. The proportion of SARI cases among patients was highest in the youngest age group of below 5-year-olds. However, the age group 60 years and above contributed most SARI cases. This was irrespective of the CD used.
CONCLUSIONS
In general, available data and the implemented reporting system are appropriate to provide timely and reliable information on SARI in inpatients in Germany. Our ICD-10-based approach proved to be useful for fulfilling requirements for SARI surveillance. The exploratory approach gave valuable insights in data structure and emphasized the advantages of different CD.
DOI: 10.1186/s12889-017-4515-1
PubMed: 28666433
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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In 2015 the Robert Koch Institute (RKI) started to collaborate with a private hospital network to develop a SARI surveillance system using case-based data on ICD-10 codes. This first-time description of the system shows its application to the analysis of five influenza seasons.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>Since week 40/2015, weekly updated anonymized data on discharged patients overall and on patients with respiratory illness including ICD-10 codes of primary and secondary diagnoses are transferred from the network data center to RKI. Retrospective datasets were also provided. Our descriptive analysis is based on data of 47 sentinel hospitals collected between weeks 1/2012 to 20/2016. We applied three different SARI case definitions (CD) based on ICD-10 codes for discharge diagnoses of respiratory tract infections (J09 - J22): basic CD (BCD), using only primary diagnoses; sensitive CD (SCD), using primary and secondary diagnoses; timely CD (TCD), using only primary diagnoses of patients hospitalized up to one week. We compared the CD with regard to severity, age distribution and timeliness and with results from the national primary care sentinel system.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>The 47 sentinel hospitals covered 3.6% of patients discharged from all German hospitals in 2013. The SCD comprised 2.2 times patients as the BCD, and 3.6 times as many as the TCD. Time course of SARI cases corresponded well to results from primary care surveillance and influenza virus circulation. The patients fulfilling the TCD had been completely reported after 3 weeks, which was fastest among the CD. The proportion of SARI cases among patients was highest in the youngest age group of below 5-year-olds. However, the age group 60 years and above contributed most SARI cases. This was irrespective of the CD used.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>In general, available data and the implemented reporting system are appropriate to provide timely and reliable information on SARI in inpatients in Germany. Our ICD-10-based approach proved to be useful for fulfilling requirements for SARI surveillance. The exploratory approach gave valuable insights in data structure and emphasized the advantages of different CD.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">28666433</PMID><DateCompleted><Year>2017</Year><Month>12</Month><Day>12</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>02</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2458</ISSN><JournalIssue CitedMedium="Internet"><Volume>17</Volume><Issue>1</Issue><PubDate><Year>2017</Year><Month>06</Month><Day>30</Day></PubDate></JournalIssue><Title>BMC public health</Title><ISOAbbreviation>BMC Public Health</ISOAbbreviation></Journal><ArticleTitle>Establishing an ICD-10 code based SARI-surveillance in Germany - description of the system and first results from five recent influenza seasons.</ArticleTitle><Pagination><MedlinePgn>612</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/s12889-017-4515-1</ELocationID><Abstract><AbstractText Label="BACKGROUND">Syndromic surveillance of severe acute respiratory infections (SARI) is important to assess seriousness of disease as recommended by WHO for influenza. In 2015 the Robert Koch Institute (RKI) started to collaborate with a private hospital network to develop a SARI surveillance system using case-based data on ICD-10 codes. This first-time description of the system shows its application to the analysis of five influenza seasons.</AbstractText><AbstractText Label="METHODS">Since week 40/2015, weekly updated anonymized data on discharged patients overall and on patients with respiratory illness including ICD-10 codes of primary and secondary diagnoses are transferred from the network data center to RKI. Retrospective datasets were also provided. Our descriptive analysis is based on data of 47 sentinel hospitals collected between weeks 1/2012 to 20/2016. We applied three different SARI case definitions (CD) based on ICD-10 codes for discharge diagnoses of respiratory tract infections (J09 - J22): basic CD (BCD), using only primary diagnoses; sensitive CD (SCD), using primary and secondary diagnoses; timely CD (TCD), using only primary diagnoses of patients hospitalized up to one week. We compared the CD with regard to severity, age distribution and timeliness and with results from the national primary care sentinel system.</AbstractText><AbstractText Label="RESULTS">The 47 sentinel hospitals covered 3.6% of patients discharged from all German hospitals in 2013. The SCD comprised 2.2 times patients as the BCD, and 3.6 times as many as the TCD. Time course of SARI cases corresponded well to results from primary care surveillance and influenza virus circulation. The patients fulfilling the TCD had been completely reported after 3 weeks, which was fastest among the CD. The proportion of SARI cases among patients was highest in the youngest age group of below 5-year-olds. However, the age group 60 years and above contributed most SARI cases. This was irrespective of the CD used.</AbstractText><AbstractText Label="CONCLUSIONS">In general, available data and the implemented reporting system are appropriate to provide timely and reliable information on SARI in inpatients in Germany. Our ICD-10-based approach proved to be useful for fulfilling requirements for SARI surveillance. The exploratory approach gave valuable insights in data structure and emphasized the advantages of different CD.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Buda</LastName><ForeName>S</ForeName><Initials>S</Initials><Identifier Source="ORCID">0000-0003-3448-3357</Identifier><AffiliationInfo><Affiliation>Robert Koch Institute, Department for infectious disease epidemiology, Respiratory infections unit, Seestr. 10, 13353, Berlin, Germany. Budas@rki.de.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tolksdorf</LastName><ForeName>K</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Robert Koch Institute, Department for infectious disease epidemiology, Respiratory infections unit, Seestr. 10, 13353, Berlin, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Schuler</LastName><ForeName>E</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>HELIOS KLINIKEN GmbH, Friedrichstraße 136, 10117, Berlin, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kuhlen</LastName><ForeName>R</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>HELIOS KLINIKEN GmbH, Friedrichstraße 136, 10117, Berlin, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Haas</LastName><ForeName>W</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>Robert Koch Institute, Department for infectious disease epidemiology, Respiratory infections unit, Seestr. 10, 13353, Berlin, Germany.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>06</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="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017677" MajorTopicYN="N">Age Distribution</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" 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Classification of Diseases</DescriptorName><QualifierName UI="Q000592" MajorTopicYN="Y">standards</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011320" MajorTopicYN="N">Primary Health Care</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012141" MajorTopicYN="N">Respiratory Tract Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012621" MajorTopicYN="N">Seasons</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018571" MajorTopicYN="Y">Sentinel Surveillance</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D045169" 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15;41(6):822-8</Citation><ArticleIdList><ArticleId IdType="pubmed">16107980</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Allemagne</li></country><region><li>Berlin</li></region><settlement><li>Berlin</li></settlement></list><tree><country name="Allemagne"><region name="Berlin"><name sortKey="Buda, S" sort="Buda, S" uniqKey="Buda S" first="S" last="Buda">S. Buda</name></region><name sortKey="Haas, W" sort="Haas, W" uniqKey="Haas W" first="W" last="Haas">W. Haas</name><name sortKey="Kuhlen, R" sort="Kuhlen, R" uniqKey="Kuhlen R" first="R" last="Kuhlen">R. Kuhlen</name><name sortKey="Schuler, E" sort="Schuler, E" uniqKey="Schuler E" first="E" last="Schuler">E. Schuler</name><name sortKey="Tolksdorf, K" sort="Tolksdorf, K" uniqKey="Tolksdorf K" first="K" last="Tolksdorf">K. Tolksdorf</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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