Determinants of tetanus, pneumococcal and influenza vaccination in the elderly: a representative cross-sectional study on knowledge, attitude and practice (KAP).
Identifieur interne : 000106 ( Main/Corpus ); précédent : 000105; suivant : 000107Determinants of tetanus, pneumococcal and influenza vaccination in the elderly: a representative cross-sectional study on knowledge, attitude and practice (KAP).
Auteurs : Carolina J. Klett-Tammen ; Gérard Krause ; Linda Seefeld ; Jördis J. OttSource :
- BMC public health [ 1471-2458 ] ; 2016.
English descriptors
- KwdEn :
- Aged (MeSH), Aged, 80 and over (MeSH), Cross-Sectional Studies (MeSH), Factor Analysis, Statistical (MeSH), Female (MeSH), Germany (MeSH), Health Knowledge, Attitudes, Practice (MeSH), Health Status (MeSH), Humans (MeSH), Influenza Vaccines (administration & dosage), Logistic Models (MeSH), Male (MeSH), Middle Aged (MeSH), Pneumococcal Vaccines (administration & dosage), Residence Characteristics (MeSH), Socioeconomic Factors (MeSH), Surveys and Questionnaires (MeSH), Tetanus Toxoid (administration & dosage), Vaccination (statistics & numerical data).
- MESH :
- chemical , administration & dosage : Influenza Vaccines, Pneumococcal Vaccines, Tetanus Toxoid.
- statistics & numerical data : Vaccination.
- Aged, Aged, 80 and over, Cross-Sectional Studies, Factor Analysis, Statistical, Female, Germany, Health Knowledge, Attitudes, Practice, Health Status, Humans, Logistic Models, Male, Middle Aged, Residence Characteristics, Socioeconomic Factors, Surveys and Questionnaires.
Abstract
BACKGROUND
Severity and incidence of vaccine-preventable infections with influenza viruses, s. pneumoniae and c. tetani increase with age. Furthermore, vaccine coverage in the elderly is often insufficient. The aim of this study is to identify socio-economic and knowledge-, attitude- and practice- (KAP)-related determinants of vaccination against influenza, pneumococcal disease and tetanus in the older German population.
METHODS
We analysed data from a German nationally representative questionnaire-based KAP-survey on infection prevention and hygiene behavior in the elderly (n = 1223). We used logistic regressions to assess impacts of socio-demographic- and KAP-related variables on vaccine uptake in general and on tetanus-, influenza- and pneumococcal vaccination. To generate KAP-scores, we applied factor analyses and analysed scores as predictors of specific vaccinations.
RESULTS
A low rated personal health status was associated with a higher uptake of influenza vaccine whereas place of residence within Germany strongly impacted on pneumococcal vaccination. For tetanus and influenza vaccination, the strongest single vaccination predictor was attitude-related, i.e., the perceived importance of the vaccine (OR = 18.1, 95 % CI = 4.5-71.8; OR = 23.0, 95 % CI = 14.9-35.3, respectively). Pneumococcal vaccination was mostly knowledge-associated, i.e., knowing the recommendation predicted uptake (OR = 17.1, 95 % CI = 9.5-30.7). Regarding the generated KAP-scores, the practice-score reflecting vaccine related behavior such as having a vaccination record, was predictive for all vaccines considered. The knowledge-score was associated with influenza (OR = 1.3, 95 % CI = 1.0-1.6) and pneumococcal vaccination (OR = 1.2, 95 % CI = 1.0-1.5). Uniquely for influenza vaccination, the attitude-score was linked to vaccine uptake (OR = 1.1, 95 % CI = 1.0-1.1).
CONCLUSIONS
Our results indicate that predictors of vaccination uptake in the elderly strongly depend on vaccine type and that scores of KAP are useful and valid to condense information from numerous individual KAP-variables. While awareness for vaccinations against influenza and tetanus is fairly high already it might have to be increased for vaccinations against pneumocoocal infections.
DOI: 10.1186/s12889-016-2784-8
PubMed: 26846202
PubMed Central: PMC4743086
Links to Exploration step
pubmed:26846202Le document en format XML
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Carolina.Klett-Tammen@helmholtz-hzi.de.</nlm:affiliation></affiliation></author><author><name sortKey="Krause, Gerard" sort="Krause, Gerard" uniqKey="Krause G" first="Gérard" last="Krause">Gérard Krause</name><affiliation><nlm:affiliation>Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstrasse 7, 38124, Braunschweig, Germany. Gerard.Krause@helmholtz-hzi.de.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany. Gerard.Krause@helmholtz-hzi.de.</nlm:affiliation></affiliation></author><author><name sortKey="Seefeld, Linda" sort="Seefeld, Linda" uniqKey="Seefeld L" first="Linda" last="Seefeld">Linda Seefeld</name><affiliation><nlm:affiliation>Unit of Basic medical issues; preventive and medical activities in health education, Federal Centre for Health Education (BZgA), Maarweg 149-161, 50825, Köln, Germany. 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Klett-Tammen</name><affiliation><nlm:affiliation>Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstrasse 7, 38124, Braunschweig, Germany. Carolina.Klett-Tammen@helmholtz-hzi.de.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany. Carolina.Klett-Tammen@helmholtz-hzi.de.</nlm:affiliation></affiliation></author><author><name sortKey="Krause, Gerard" sort="Krause, Gerard" uniqKey="Krause G" first="Gérard" last="Krause">Gérard Krause</name><affiliation><nlm:affiliation>Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstrasse 7, 38124, Braunschweig, Germany. Gerard.Krause@helmholtz-hzi.de.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany. Gerard.Krause@helmholtz-hzi.de.</nlm:affiliation></affiliation></author><author><name sortKey="Seefeld, Linda" sort="Seefeld, Linda" uniqKey="Seefeld L" first="Linda" last="Seefeld">Linda Seefeld</name><affiliation><nlm:affiliation>Unit of Basic medical issues; preventive and medical activities in health education, Federal Centre for Health Education (BZgA), Maarweg 149-161, 50825, Köln, Germany. Linda.Seefeld@bzga.de.</nlm:affiliation></affiliation></author><author><name sortKey="Ott, Jordis J" sort="Ott, Jordis J" uniqKey="Ott J" first="Jördis J" last="Ott">Jördis J. Ott</name><affiliation><nlm:affiliation>Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstrasse 7, 38124, Braunschweig, Germany. Joerdis.Ott@helmholtz-hzi.de.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany. Joerdis.Ott@helmholtz-hzi.de.</nlm:affiliation></affiliation></author></analytic><series><title level="j">BMC public health</title><idno type="eISSN">1471-2458</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged (MeSH)</term><term>Aged, 80 and over (MeSH)</term><term>Cross-Sectional Studies (MeSH)</term><term>Factor Analysis, Statistical (MeSH)</term><term>Female (MeSH)</term><term>Germany (MeSH)</term><term>Health Knowledge, Attitudes, Practice (MeSH)</term><term>Health Status (MeSH)</term><term>Humans (MeSH)</term><term>Influenza Vaccines (administration & dosage)</term><term>Logistic Models (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pneumococcal Vaccines (administration & dosage)</term><term>Residence Characteristics (MeSH)</term><term>Socioeconomic Factors (MeSH)</term><term>Surveys and Questionnaires (MeSH)</term><term>Tetanus Toxoid (administration & dosage)</term><term>Vaccination (statistics & numerical data)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="administration & dosage" xml:lang="en"><term>Influenza Vaccines</term><term>Pneumococcal Vaccines</term><term>Tetanus Toxoid</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Vaccination</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Aged, 80 and over</term><term>Cross-Sectional Studies</term><term>Factor Analysis, Statistical</term><term>Female</term><term>Germany</term><term>Health Knowledge, Attitudes, Practice</term><term>Health Status</term><term>Humans</term><term>Logistic Models</term><term>Male</term><term>Middle Aged</term><term>Residence Characteristics</term><term>Socioeconomic Factors</term><term>Surveys and Questionnaires</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Severity and incidence of vaccine-preventable infections with influenza viruses, s. pneumoniae and c. tetani increase with age. Furthermore, vaccine coverage in the elderly is often insufficient. The aim of this study is to identify socio-economic and knowledge-, attitude- and practice- (KAP)-related determinants of vaccination against influenza, pneumococcal disease and tetanus in the older German population.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>We analysed data from a German nationally representative questionnaire-based KAP-survey on infection prevention and hygiene behavior in the elderly (n = 1223). We used logistic regressions to assess impacts of socio-demographic- and KAP-related variables on vaccine uptake in general and on tetanus-, influenza- and pneumococcal vaccination. To generate KAP-scores, we applied factor analyses and analysed scores as predictors of specific vaccinations.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>A low rated personal health status was associated with a higher uptake of influenza vaccine whereas place of residence within Germany strongly impacted on pneumococcal vaccination. For tetanus and influenza vaccination, the strongest single vaccination predictor was attitude-related, i.e., the perceived importance of the vaccine (OR = 18.1, 95 % CI = 4.5-71.8; OR = 23.0, 95 % CI = 14.9-35.3, respectively). Pneumococcal vaccination was mostly knowledge-associated, i.e., knowing the recommendation predicted uptake (OR = 17.1, 95 % CI = 9.5-30.7). Regarding the generated KAP-scores, the practice-score reflecting vaccine related behavior such as having a vaccination record, was predictive for all vaccines considered. The knowledge-score was associated with influenza (OR = 1.3, 95 % CI = 1.0-1.6) and pneumococcal vaccination (OR = 1.2, 95 % CI = 1.0-1.5). Uniquely for influenza vaccination, the attitude-score was linked to vaccine uptake (OR = 1.1, 95 % CI = 1.0-1.1).</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>Our results indicate that predictors of vaccination uptake in the elderly strongly depend on vaccine type and that scores of KAP are useful and valid to condense information from numerous individual KAP-variables. While awareness for vaccinations against influenza and tetanus is fairly high already it might have to be increased for vaccinations against pneumocoocal infections.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">26846202</PMID><DateCompleted><Year>2016</Year><Month>08</Month><Day>31</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>16</Volume><PubDate><Year>2016</Year><Month>Feb</Month><Day>04</Day></PubDate></JournalIssue><Title>BMC public health</Title><ISOAbbreviation>BMC Public Health</ISOAbbreviation></Journal><ArticleTitle>Determinants of tetanus, pneumococcal and influenza vaccination in the elderly: a representative cross-sectional study on knowledge, attitude and practice (KAP).</ArticleTitle><Pagination><MedlinePgn>121</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/s12889-016-2784-8</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Severity and incidence of vaccine-preventable infections with influenza viruses, s. pneumoniae and c. tetani increase with age. Furthermore, vaccine coverage in the elderly is often insufficient. The aim of this study is to identify socio-economic and knowledge-, attitude- and practice- (KAP)-related determinants of vaccination against influenza, pneumococcal disease and tetanus in the older German population.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">We analysed data from a German nationally representative questionnaire-based KAP-survey on infection prevention and hygiene behavior in the elderly (n = 1223). We used logistic regressions to assess impacts of socio-demographic- and KAP-related variables on vaccine uptake in general and on tetanus-, influenza- and pneumococcal vaccination. To generate KAP-scores, we applied factor analyses and analysed scores as predictors of specific vaccinations.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">A low rated personal health status was associated with a higher uptake of influenza vaccine whereas place of residence within Germany strongly impacted on pneumococcal vaccination. For tetanus and influenza vaccination, the strongest single vaccination predictor was attitude-related, i.e., the perceived importance of the vaccine (OR = 18.1, 95 % CI = 4.5-71.8; OR = 23.0, 95 % CI = 14.9-35.3, respectively). Pneumococcal vaccination was mostly knowledge-associated, i.e., knowing the recommendation predicted uptake (OR = 17.1, 95 % CI = 9.5-30.7). Regarding the generated KAP-scores, the practice-score reflecting vaccine related behavior such as having a vaccination record, was predictive for all vaccines considered. The knowledge-score was associated with influenza (OR = 1.3, 95 % CI = 1.0-1.6) and pneumococcal vaccination (OR = 1.2, 95 % CI = 1.0-1.5). Uniquely for influenza vaccination, the attitude-score was linked to vaccine uptake (OR = 1.1, 95 % CI = 1.0-1.1).</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Our results indicate that predictors of vaccination uptake in the elderly strongly depend on vaccine type and that scores of KAP are useful and valid to condense information from numerous individual KAP-variables. While awareness for vaccinations against influenza and tetanus is fairly high already it might have to be increased for vaccinations against pneumocoocal infections.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Klett-Tammen</LastName><ForeName>Carolina J</ForeName><Initials>CJ</Initials><AffiliationInfo><Affiliation>Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstrasse 7, 38124, Braunschweig, Germany. Carolina.Klett-Tammen@helmholtz-hzi.de.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany. Carolina.Klett-Tammen@helmholtz-hzi.de.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Krause</LastName><ForeName>Gérard</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstrasse 7, 38124, Braunschweig, Germany. Gerard.Krause@helmholtz-hzi.de.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany. Gerard.Krause@helmholtz-hzi.de.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Seefeld</LastName><ForeName>Linda</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Unit of Basic medical issues; preventive and medical activities in health education, Federal Centre for Health Education (BZgA), Maarweg 149-161, 50825, Köln, Germany. Linda.Seefeld@bzga.de.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ott</LastName><ForeName>Jördis J</ForeName><Initials>JJ</Initials><AffiliationInfo><Affiliation>Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstrasse 7, 38124, Braunschweig, Germany. Joerdis.Ott@helmholtz-hzi.de.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany. Joerdis.Ott@helmholtz-hzi.de.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>02</Month><Day>04</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>BMC Public Health</MedlineTA><NlmUniqueID>100968562</NlmUniqueID><ISSNLinking>1471-2458</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D007252">Influenza Vaccines</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D022242">Pneumococcal Vaccines</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D013745">Tetanus 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MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007252" MajorTopicYN="N">Influenza Vaccines</DescriptorName><QualifierName UI="Q000008" MajorTopicYN="Y">administration & dosage</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016015" MajorTopicYN="N">Logistic Models</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D022242" MajorTopicYN="N">Pneumococcal Vaccines</DescriptorName><QualifierName UI="Q000008" MajorTopicYN="N">administration & dosage</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012111" MajorTopicYN="N">Residence Characteristics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012959" MajorTopicYN="N">Socioeconomic Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName 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