GrippeAllemagneV4, Main, Exploration, bibRecord, 000043

Influenza vaccination rates before and after admission to nursing homes in Germany.

Identifieur interne : 000043 ( Main/Exploration ); précédent : 000042; suivant : 000044

Influenza vaccination rates before and after admission to nursing homes in Germany.

Auteurs : Ove Spreckelsen [Allemagne] ; Andres Luque Ramos [Allemagne] ; Michael Freitag [Allemagne] ; Falk Hoffmann [Allemagne]

Source :

Aging clinical and experimental research [ 1720-8319 ] ; 2018.

RBID : pubmed:28836165

Descripteurs français

KwdFr :
- Allemagne (MeSH), Assurance maladie (MeSH), Femelle (MeSH), Grippe humaine (prévention et contrôle), Humains (MeSH), Maisons de repos (MeSH), Mâle (MeSH), Probabilité (MeSH), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Vaccination (statistiques et données numériques), Vaccins antigrippaux (administration et posologie).
MESH :
- administration et posologie : Vaccins antigrippaux.
- prévention et contrôle : Grippe humaine.
- statistiques et données numériques : Vaccination.
- Allemagne, Assurance maladie, Femelle, Humains, Maisons de repos, Mâle, Probabilité, Sujet âgé, Sujet âgé de 80 ans ou plus.

English descriptors

KwdEn :
- Aged (MeSH), Aged, 80 and over (MeSH), Female (MeSH), Germany (MeSH), Humans (MeSH), Influenza Vaccines (administration & dosage), Influenza, Human (prevention & control), Insurance, Health (MeSH), Male (MeSH), Nursing Homes (MeSH), Probability (MeSH), Vaccination (statistics & numerical data).
MESH :
- chemical , administration & dosage : Influenza Vaccines.
- prevention & control : Influenza, Human.
- statistics & numerical data : Vaccination.
- Aged, Aged, 80 and over, Female, Germany, Humans, Insurance, Health, Male, Nursing Homes, Probability.

Abstract

BACKGROUND

Influenza vaccination is highly recommended for nursing home residents. However, it is known that vaccination coverage is low in the general population.

AIMS

We aim to find out whether influenza vaccination coverage differs for nursing home residents between the year before and after admission and factors determining the chance to receive vaccination.

METHODS

Claims data of the health insurance fund DAK of at least 65-year-olds were used. The proportion of residents with influenza vaccination were compared in the year before and after the admission stratified by several covariates. A multivariate logistic regression analysis was conducted to obtain predictors for influenza vaccination after admission.

RESULTS

Vaccination coverage was overall higher in the year after admission (53.0%) than before (38.3%). Differences in vaccination coverage between most covariates evened out after admission. Differences remained for region of residence and number of comorbidities. The strongest predictor for receiving a vaccination after admission was the vaccination status before admission (OR 3.5; 95% CI 3.3-3.6) followed by region and number of comorbidities.

DISCUSSION

Overall, vaccination coverage of nursing home residents remains lower than recommended. Doctor-patient contacts whether due to care for comorbidities or as a continuation of the relation over the time of admission to the nursing home seem to assure vaccination for residents.

CONCLUSION

Clear and unambiguous evidence of vaccine safety and efficacy for different subgroups within the same age group as well as organizational efforts to increase vaccination within nursing homes would be recommended.

DOI: 10.1007/s40520-017-0825-5
PubMed: 28836165

Affiliations:

Allemagne

Links toward previous steps (curation, corpus...)

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Le document en format XML

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<author><name sortKey="Spreckelsen, Ove" sort="Spreckelsen, Ove" uniqKey="Spreckelsen O" first="Ove" last="Spreckelsen">Ove Spreckelsen</name>
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<author><name sortKey="Spreckelsen, Ove" sort="Spreckelsen, Ove" uniqKey="Spreckelsen O" first="Ove" last="Spreckelsen">Ove Spreckelsen</name>
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<author><name sortKey="Luque Ramos, Andres" sort="Luque Ramos, Andres" uniqKey="Luque Ramos A" first="Andres" last="Luque Ramos">Andres Luque Ramos</name>
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<country xml:lang="fr">Allemagne</country>
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<author><name sortKey="Freitag, Michael" sort="Freitag, Michael" uniqKey="Freitag M" first="Michael" last="Freitag">Michael Freitag</name>
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<author><name sortKey="Hoffmann, Falk" sort="Hoffmann, Falk" uniqKey="Hoffmann F" first="Falk" last="Hoffmann">Falk Hoffmann</name>
<affiliation wicri:level="1"><nlm:affiliation>Division Outpatient Care and Pharmacoepidemiology, Department of Health Services Research, Carl von Ossietzky University, Oldenburg, Germany.</nlm:affiliation>
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<series><title level="j">Aging clinical and experimental research</title>
<idno type="eISSN">1720-8319</idno>
<imprint><date when="2018" type="published">2018</date>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged (MeSH)</term>
<term>Aged, 80 and over (MeSH)</term>
<term>Female (MeSH)</term>
<term>Germany (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Influenza Vaccines (administration & dosage)</term>
<term>Influenza, Human (prevention & control)</term>
<term>Insurance, Health (MeSH)</term>
<term>Male (MeSH)</term>
<term>Nursing Homes (MeSH)</term>
<term>Probability (MeSH)</term>
<term>Vaccination (statistics & numerical data)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Allemagne (MeSH)</term>
<term>Assurance maladie (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Grippe humaine (prévention et contrôle)</term>
<term>Humains (MeSH)</term>
<term>Maisons de repos (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Probabilité (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Sujet âgé de 80 ans ou plus (MeSH)</term>
<term>Vaccination (statistiques et données numériques)</term>
<term>Vaccins antigrippaux (administration et posologie)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="administration & dosage" xml:lang="en"><term>Influenza Vaccines</term>
</keywords>
<keywords scheme="MESH" qualifier="administration et posologie" xml:lang="fr"><term>Vaccins antigrippaux</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="prévention et contrôle" xml:lang="fr"><term>Grippe humaine</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Vaccination</term>
</keywords>
<keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Vaccination</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Aged</term>
<term>Aged, 80 and over</term>
<term>Female</term>
<term>Germany</term>
<term>Humans</term>
<term>Insurance, Health</term>
<term>Male</term>
<term>Nursing Homes</term>
<term>Probability</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Allemagne</term>
<term>Assurance maladie</term>
<term>Femelle</term>
<term>Humains</term>
<term>Maisons de repos</term>
<term>Mâle</term>
<term>Probabilité</term>
<term>Sujet âgé</term>
<term>Sujet âgé de 80 ans ou plus</term>
</keywords>
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</teiHeader>
<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>Influenza vaccination is highly recommended for nursing home residents. However, it is known that vaccination coverage is low in the general population.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>AIMS</b>
</p>
<p>We aim to find out whether influenza vaccination coverage differs for nursing home residents between the year before and after admission and factors determining the chance to receive vaccination.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>Claims data of the health insurance fund DAK of at least 65-year-olds were used. The proportion of residents with influenza vaccination were compared in the year before and after the admission stratified by several covariates. A multivariate logistic regression analysis was conducted to obtain predictors for influenza vaccination after admission.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>Vaccination coverage was overall higher in the year after admission (53.0%) than before (38.3%). Differences in vaccination coverage between most covariates evened out after admission. Differences remained for region of residence and number of comorbidities. The strongest predictor for receiving a vaccination after admission was the vaccination status before admission (OR 3.5; 95% CI 3.3-3.6) followed by region and number of comorbidities.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>DISCUSSION</b>
</p>
<p>Overall, vaccination coverage of nursing home residents remains lower than recommended. Doctor-patient contacts whether due to care for comorbidities or as a continuation of the relation over the time of admission to the nursing home seem to assure vaccination for residents.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>Clear and unambiguous evidence of vaccine safety and efficacy for different subgroups within the same age group as well as organizational efforts to increase vaccination within nursing homes would be recommended.</p>
</div>
</front>
</TEI>
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<DateCompleted><Year>2018</Year>
<Month>09</Month>
<Day>04</Day>
</DateCompleted>
<DateRevised><Year>2018</Year>
<Month>12</Month>
<Day>02</Day>
</DateRevised>
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<Issue>6</Issue>
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<Title>Aging clinical and experimental research</Title>
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<ArticleTitle>Influenza vaccination rates before and after admission to nursing homes in Germany.</ArticleTitle>
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<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Influenza vaccination is highly recommended for nursing home residents. However, it is known that vaccination coverage is low in the general population.</AbstractText>
<AbstractText Label="AIMS" NlmCategory="OBJECTIVE">We aim to find out whether influenza vaccination coverage differs for nursing home residents between the year before and after admission and factors determining the chance to receive vaccination.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">Claims data of the health insurance fund DAK of at least 65-year-olds were used. The proportion of residents with influenza vaccination were compared in the year before and after the admission stratified by several covariates. A multivariate logistic regression analysis was conducted to obtain predictors for influenza vaccination after admission.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Vaccination coverage was overall higher in the year after admission (53.0%) than before (38.3%). Differences in vaccination coverage between most covariates evened out after admission. Differences remained for region of residence and number of comorbidities. The strongest predictor for receiving a vaccination after admission was the vaccination status before admission (OR 3.5; 95% CI 3.3-3.6) followed by region and number of comorbidities.</AbstractText>
<AbstractText Label="DISCUSSION" NlmCategory="CONCLUSIONS">Overall, vaccination coverage of nursing home residents remains lower than recommended. Doctor-patient contacts whether due to care for comorbidities or as a continuation of the relation over the time of admission to the nursing home seem to assure vaccination for residents.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Clear and unambiguous evidence of vaccine safety and efficacy for different subgroups within the same age group as well as organizational efforts to increase vaccination within nursing homes would be recommended.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Spreckelsen</LastName>
<ForeName>Ove</ForeName>
<Initials>O</Initials>
<Identifier Source="ORCID">http://orcid.org/0000-0002-5782-2756</Identifier>
<AffiliationInfo><Affiliation>Division General Practice and Family Medicine, Department of Health Services Research, Carl von Ossietzky University, Ammerländer Heerstrasse 140, Oldenburg, 26111, Germany. ove.spreckelsen@uni-oldenburg.de.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Luque Ramos</LastName>
<ForeName>Andres</ForeName>
<Initials>A</Initials>
<Identifier Source="ORCID">http://orcid.org/0000-0002-5625-649X</Identifier>
<AffiliationInfo><Affiliation>Division Outpatient Care and Pharmacoepidemiology, Department of Health Services Research, Carl von Ossietzky University, Oldenburg, Germany.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Freitag</LastName>
<ForeName>Michael</ForeName>
<Initials>M</Initials>
<Identifier Source="ORCID">http://orcid.org/0000-0002-7572-2011</Identifier>
<AffiliationInfo><Affiliation>Division General Practice and Family Medicine, Department of Health Services Research, Carl von Ossietzky University, Ammerländer Heerstrasse 140, Oldenburg, 26111, Germany.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Hoffmann</LastName>
<ForeName>Falk</ForeName>
<Initials>F</Initials>
<Identifier Source="ORCID">http://orcid.org/0000-0003-0182-5373</Identifier>
<AffiliationInfo><Affiliation>Division Outpatient Care and Pharmacoepidemiology, Department of Health Services Research, Carl von Ossietzky University, Oldenburg, Germany.</Affiliation>
</AffiliationInfo>
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<Language>eng</Language>
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<Day>23</Day>
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<MedlineJournalInfo><Country>Germany</Country>
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<MeshHeading><DescriptorName UI="D009735" MajorTopicYN="Y">Nursing Homes</DescriptorName>
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<MeshHeading><DescriptorName UI="D011336" MajorTopicYN="N">Probability</DescriptorName>
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<MeshHeading><DescriptorName UI="D014611" MajorTopicYN="N">Vaccination</DescriptorName>
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<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">General practice</Keyword>
<Keyword MajorTopicYN="N">Germany</Keyword>
<Keyword MajorTopicYN="N">Influenza</Keyword>
<Keyword MajorTopicYN="N">Nursing home</Keyword>
<Keyword MajorTopicYN="N">Vaccination</Keyword>
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<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2017</Year>
<Month>08</Month>
<Day>03</Day>
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<PubMedPubDate PubStatus="accepted"><Year>2017</Year>
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<tree><country name="Allemagne"><noRegion><name sortKey="Spreckelsen, Ove" sort="Spreckelsen, Ove" uniqKey="Spreckelsen O" first="Ove" last="Spreckelsen">Ove Spreckelsen</name>
</noRegion>
<name sortKey="Freitag, Michael" sort="Freitag, Michael" uniqKey="Freitag M" first="Michael" last="Freitag">Michael Freitag</name>
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<name sortKey="Luque Ramos, Andres" sort="Luque Ramos, Andres" uniqKey="Luque Ramos A" first="Andres" last="Luque Ramos">Andres Luque Ramos</name>
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Influenza vaccination rates before and after admission to nursing homes in Germany.

Influenza vaccination rates before and after admission to nursing homes in Germany.

Source :

Descripteurs français

English descriptors

Abstract

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