[Evaluation of an ICD-10-based electronic surveillance of acute respiratory infections (SEEDARI) in Germany].
Identifieur interne : 000085 ( Main/Exploration ); précédent : 000084; suivant : 000086[Evaluation of an ICD-10-based electronic surveillance of acute respiratory infections (SEEDARI) in Germany].
Auteurs : Karla Köpke [Allemagne] ; Kerstin Prahm [Allemagne] ; Silke Buda [Allemagne] ; Walter Haas [Allemagne]Source :
- Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz [ 1437-1588 ] ; 2016.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Allemagne (épidémiologie), Appréciation des risques (MeSH), Classification internationale des maladies (normes), Dossiers médicaux électroniques (organisation et administration), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Humains (MeSH), Infections de l'appareil respiratoire (classification), Infections de l'appareil respiratoire (diagnostic), Infections de l'appareil respiratoire (épidémiologie), Jeune adulte (MeSH), Maladie aigüe (MeSH), Mâle (MeSH), Mémorisation et recherche des informations (normes), Nourrisson (MeSH), Nouveau-né (MeSH), Prévalence (MeSH), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Surveillance de la population (méthodes).
- MESH :
- diagnostic : Infections de l'appareil respiratoire.
- méthodes : Surveillance de la population.
- normes : Classification internationale des maladies, Mémorisation et recherche des informations.
- organisation et administration : Dossiers médicaux électroniques.
- épidémiologie : Allemagne, Infections de l'appareil respiratoire.
- classification : Adolescent, Adulte, Adulte d'âge moyen, Appréciation des risques, Enfant, Enfant d'âge préscolaire, Humains, Infections de l'appareil respiratoire, Jeune adulte, Maladie aigüe, Mâle, Nourrisson, Nouveau-né, Prévalence, Sujet âgé, Sujet âgé de 80 ans ou plus.
English descriptors
- KwdEn :
- Acute Disease (MeSH), Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Child (MeSH), Child, Preschool (MeSH), Electronic Health Records (organization & administration), Germany (epidemiology), Humans (MeSH), Infant (MeSH), Infant, Newborn (MeSH), Information Storage and Retrieval (standards), International Classification of Diseases (standards), Male (MeSH), Middle Aged (MeSH), Population Surveillance (methods), Prevalence (MeSH), Respiratory Tract Infections (classification), Respiratory Tract Infections (diagnosis), Respiratory Tract Infections (epidemiology), Risk Assessment (MeSH), Young Adult (MeSH).
- MESH :
- classification : Respiratory Tract Infections.
- diagnosis : Respiratory Tract Infections.
- epidemiology : Germany, Respiratory Tract Infections.
- methods : Population Surveillance.
- organization & administration : Electronic Health Records.
- standards : Information Storage and Retrieval, International Classification of Diseases.
- Acute Disease, Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, Humans, Infant, Infant, Newborn, Male, Middle Aged, Prevalence, Risk Assessment, Young Adult.
Abstract
BACKGROUND
Every year epidemic waves of influenza and other acute respiratory infections (ARIs) cause a highly variable burden of disease in the population. Thus, assessment of the situation and adaptation of prevention strategies have to rely on real time syndromic surveillance.
OBJECTIVE
We have established an ICD-10-based electronic system allowing rapid capture and transmission of information on ARI (SEED
METHODS
Consultations and ICD10-codes (J00-J22, J44.0 and B34.9) between week 16 in 2009, and week 15 in 2013, were used for comparison with AGI data. The time course and the correlation of weekly estimates of the incidence of medically attended ARI (MAARI) and ARI/100 consultations were analyzed for the different surveillance systems.
RESULTS
The number of participating medical practices in SEED
DISCUSSION
We conclude that SEED
DOI: 10.1007/s00103-016-2454-0
PubMed: 27738704
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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xml:lang="en"><term>Acute Disease (MeSH)</term><term>Adolescent (MeSH)</term><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Aged, 80 and over (MeSH)</term><term>Child (MeSH)</term><term>Child, Preschool (MeSH)</term><term>Electronic Health Records (organization & administration)</term><term>Germany (epidemiology)</term><term>Humans (MeSH)</term><term>Infant (MeSH)</term><term>Infant, Newborn (MeSH)</term><term>Information Storage and Retrieval (standards)</term><term>International Classification of Diseases (standards)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Population Surveillance (methods)</term><term>Prevalence (MeSH)</term><term>Respiratory Tract Infections (classification)</term><term>Respiratory Tract Infections (diagnosis)</term><term>Respiratory Tract Infections (epidemiology)</term><term>Risk Assessment (MeSH)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Allemagne (épidémiologie)</term><term>Appréciation des risques (MeSH)</term><term>Classification internationale des maladies (normes)</term><term>Dossiers médicaux électroniques (organisation et administration)</term><term>Enfant (MeSH)</term><term>Enfant d'âge préscolaire (MeSH)</term><term>Humains (MeSH)</term><term>Infections de l'appareil respiratoire (classification)</term><term>Infections de l'appareil respiratoire (diagnostic)</term><term>Infections de l'appareil respiratoire (épidémiologie)</term><term>Jeune adulte (MeSH)</term><term>Maladie aigüe (MeSH)</term><term>Mâle (MeSH)</term><term>Mémorisation et recherche des informations (normes)</term><term>Nourrisson (MeSH)</term><term>Nouveau-né (MeSH)</term><term>Prévalence (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Sujet âgé de 80 ans ou plus (MeSH)</term><term>Surveillance de la population (méthodes)</term></keywords><keywords scheme="MESH" qualifier="classification" xml:lang="en"><term>Respiratory Tract Infections</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Respiratory Tract Infections</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Infections de l'appareil respiratoire</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Germany</term><term>Respiratory Tract Infections</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Population Surveillance</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Surveillance de la population</term></keywords><keywords scheme="MESH" qualifier="normes" xml:lang="fr"><term>Classification internationale des maladies</term><term>Mémorisation et recherche des informations</term></keywords><keywords scheme="MESH" qualifier="organisation et administration" xml:lang="fr"><term>Dossiers médicaux électroniques</term></keywords><keywords scheme="MESH" qualifier="organization & administration" xml:lang="en"><term>Electronic Health Records</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Information Storage and Retrieval</term><term>International Classification of Diseases</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Allemagne</term><term>Infections de l'appareil respiratoire</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Acute Disease</term><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Aged, 80 and over</term><term>Child</term><term>Child, Preschool</term><term>Humans</term><term>Infant</term><term>Infant, Newborn</term><term>Male</term><term>Middle Aged</term><term>Prevalence</term><term>Risk Assessment</term><term>Young Adult</term></keywords><keywords scheme="MESH" qualifier="classification" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Appréciation des risques</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Humains</term><term>Infections de l'appareil respiratoire</term><term>Jeune adulte</term><term>Maladie aigüe</term><term>Mâle</term><term>Nourrisson</term><term>Nouveau-né</term><term>Prévalence</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Every year epidemic waves of influenza and other acute respiratory infections (ARIs) cause a highly variable burden of disease in the population. Thus, assessment of the situation and adaptation of prevention strategies have to rely on real time syndromic surveillance.</p></div><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b></p><p>We have established an ICD-10-based electronic system allowing rapid capture and transmission of information on ARI (SEED</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>Consultations and ICD10-codes (J00-J22, J44.0 and B34.9) between week 16 in 2009, and week 15 in 2013, were used for comparison with AGI data. The time course and the correlation of weekly estimates of the incidence of medically attended ARI (MAARI) and ARI/100 consultations were analyzed for the different surveillance systems.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>The number of participating medical practices in SEED</p></div><div type="abstract" xml:lang="en"><p><b>DISCUSSION</b></p><p>We conclude that SEED</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">27738704</PMID><DateCompleted><Year>2017</Year><Month>05</Month><Day>03</Day></DateCompleted><DateRevised><Year>2017</Year><Month>05</Month><Day>03</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1437-1588</ISSN><JournalIssue CitedMedium="Internet"><Volume>59</Volume><Issue>11</Issue><PubDate><Year>2016</Year><Month>Nov</Month></PubDate></JournalIssue><Title>Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz</Title><ISOAbbreviation>Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz</ISOAbbreviation></Journal><ArticleTitle>[Evaluation of an ICD-10-based electronic surveillance of acute respiratory infections (SEED<sup>ARI</sup>) in Germany].</ArticleTitle><Pagination><MedlinePgn>1484-1491</MedlinePgn></Pagination><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Every year epidemic waves of influenza and other acute respiratory infections (ARIs) cause a highly variable burden of disease in the population. Thus, assessment of the situation and adaptation of prevention strategies have to rely on real time syndromic surveillance.</AbstractText><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">We have established an ICD-10-based electronic system allowing rapid capture and transmission of information on ARI (SEED<sup>ARI</sup>), in Germany. Here we report the evaluation of this new system based on results of the syndromic and virologic surveillance carried out by the working group on influenza in Germany (AGI).</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Consultations and ICD10-codes (J00-J22, J44.0 and B34.9) between week 16 in 2009, and week 15 in 2013, were used for comparison with AGI data. The time course and the correlation of weekly estimates of the incidence of medically attended ARI (MAARI) and ARI/100 consultations were analyzed for the different surveillance systems.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">The number of participating medical practices in SEED<sup>ARI</sup> almost doubled from 2009 (n = 65) to 2013 (n = 111). A total of almost 6.8 million consultations and 465,006 diagnosed ARIs were transmitted. The comparison of weekly estimated incidence of MAARI per 100,000 capita derived from SEED<sup>ARI</sup> and the results of the AGI showed high statistical correlation (Spearman correlation coefficient r<sub>s</sub> = 0,924; n = 209; p < 0,001). The proportion of diagnosed influenza (J09-J11) and the weekly positivity rate from virological surveillance during epidemic waves also showed high correlations.</AbstractText><AbstractText Label="DISCUSSION" NlmCategory="CONCLUSIONS">We conclude that SEED<sup>ARI</sup> represents a valid system for syndromic influenza surveillance. The case-based ICD-10 approach allows a detailed analysis of the actual situation and also seems suitable for population-based studies.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Köpke</LastName><ForeName>Karla</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Fachgebiet für respiratorisch übertragbare Erkrankungen, Abteilung für Infektionsepidemiologie, Robert Koch-Institut, Seestraße 10, 13353, Berlin, Deutschland.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Prahm</LastName><ForeName>Kerstin</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Fachgebiet für respiratorisch übertragbare Erkrankungen, Abteilung für Infektionsepidemiologie, Robert Koch-Institut, Seestraße 10, 13353, Berlin, Deutschland.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Buda</LastName><ForeName>Silke</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Fachgebiet für respiratorisch übertragbare Erkrankungen, Abteilung für Infektionsepidemiologie, Robert Koch-Institut, Seestraße 10, 13353, Berlin, Deutschland.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Haas</LastName><ForeName>Walter</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>Fachgebiet für respiratorisch übertragbare Erkrankungen, Abteilung für Infektionsepidemiologie, Robert Koch-Institut, Seestraße 10, 13353, Berlin, Deutschland. haasw@rki.de.</Affiliation></AffiliationInfo></Author></AuthorList><Language>ger</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><VernacularTitle>Evaluation einer ICD-10-basierten elektronischen Surveillance akuter respiratorischer Erkrankungen (SEED<sup>ARE</sup>) in Deutschland.</VernacularTitle></Article><MedlineJournalInfo><Country>Germany</Country><MedlineTA>Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz</MedlineTA><NlmUniqueID>101181368</NlmUniqueID><ISSNLinking>1436-9990</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000208" MajorTopicYN="N">Acute Disease</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D057286" MajorTopicYN="N">Electronic Health Records</DescriptorName><QualifierName UI="Q000458" MajorTopicYN="Y">organization & administration</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005858" MajorTopicYN="N">Germany</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007223" MajorTopicYN="N">Infant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007231" MajorTopicYN="N">Infant, Newborn</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016247" MajorTopicYN="N">Information Storage and Retrieval</DescriptorName><QualifierName UI="Q000592" MajorTopicYN="Y">standards</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D038801" MajorTopicYN="N">International 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="D011159" MajorTopicYN="N">Population Surveillance</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012141" MajorTopicYN="N">Respiratory Tract Infections</DescriptorName><QualifierName UI="Q000145" MajorTopicYN="N">classification</QualifierName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018570" MajorTopicYN="N">Risk Assessment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">Data collection</Keyword><Keyword MajorTopicYN="Y">Electronic health record</Keyword><Keyword MajorTopicYN="Y">Epidemiologic surveillance</Keyword><Keyword MajorTopicYN="Y">ICD-10</Keyword><Keyword MajorTopicYN="Y">Influenza</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>10</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>5</Month><Day>4</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>10</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">27738704</ArticleId><ArticleId IdType="doi">10.1007/s00103-016-2454-0</ArticleId><ArticleId IdType="pii">10.1007/s00103-016-2454-0</ArticleId></ArticleIdList></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="Kopke, Karla" sort="Kopke, Karla" uniqKey="Kopke K" first="Karla" last="Köpke">Karla Köpke</name></region><name sortKey="Buda, Silke" sort="Buda, Silke" uniqKey="Buda S" first="Silke" last="Buda">Silke Buda</name><name sortKey="Haas, Walter" sort="Haas, Walter" uniqKey="Haas W" first="Walter" last="Haas">Walter Haas</name><name sortKey="Prahm, Kerstin" sort="Prahm, Kerstin" uniqKey="Prahm K" first="Kerstin" last="Prahm">Kerstin Prahm</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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|texte= [Evaluation of an ICD-10-based electronic surveillance of acute respiratory infections (SEEDARI) in Germany].
}}
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