Public preferences for vaccination programmes during pandemics caused by pathogens transmitted through respiratory droplets - a discrete choice experiment in four European countries, 2013.
Identifieur interne : 000133 ( Main/Exploration ); précédent : 000132; suivant : 000134Public preferences for vaccination programmes during pandemics caused by pathogens transmitted through respiratory droplets - a discrete choice experiment in four European countries, 2013.
Auteurs : Domino Determann [Pays-Bas] ; Ida J. Korfage ; Angela Fagerlin ; Ewout W. Steyerberg ; Michiel C. Bliemer ; Helene A. Voeten ; Jan Hendrik Richardus ; Mattijs S. Lambooij ; Esther W. De Bekker-GrobSource :
- Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin [ 1560-7917 ] ; 2016.
Descripteurs français
- KwdFr :
- Acceptation des soins par les patients (statistiques et données numériques), Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Comportement de choix (MeSH), Enquêtes de santé (MeSH), Espagne (épidémiologie), Europe (épidémiologie), Grippe humaine (prévention et contrôle), Humains (MeSH), Jeune adulte (MeSH), Maladies transmissibles (immunologie), Maladies transmissibles (psychologie), Mâle (MeSH), Pandémies (prévention et contrôle), Pays-Bas (épidémiologie), Pologne (épidémiologie), Programmes de vaccination (statistiques et données numériques), Sujet âgé (MeSH), Suède (épidémiologie), Vaccination (psychologie), Vaccination (statistiques et données numériques), Vaccins antigrippaux (usage thérapeutique), Valeur prédictive des tests (MeSH).
- MESH :
- immunologie : Maladies transmissibles.
- prévention et contrôle : Grippe humaine, Pandémies.
- psychologie : Maladies transmissibles, Vaccination.
- statistiques et données numériques : Acceptation des soins par les patients, Programmes de vaccination, Vaccination.
- usage thérapeutique : Vaccins antigrippaux.
- épidémiologie : Espagne, Europe, Pays-Bas, Pologne, Suède.
- Adolescent, Adulte, Adulte d'âge moyen, Comportement de choix, Enquêtes de santé, Humains, Jeune adulte, Mâle, Sujet âgé, Valeur prédictive des tests.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Choice Behavior (MeSH), Communicable Diseases (immunology), Communicable Diseases (psychology), Europe (epidemiology), Health Surveys (MeSH), Humans (MeSH), Immunization Programs (statistics & numerical data), Influenza Vaccines (therapeutic use), Influenza, Human (prevention & control), Male (MeSH), Middle Aged (MeSH), Netherlands (epidemiology), Pandemics (prevention & control), Patient Acceptance of Health Care (statistics & numerical data), Poland (epidemiology), Predictive Value of Tests (MeSH), Spain (epidemiology), Sweden (epidemiology), Vaccination (psychology), Vaccination (statistics & numerical data), Young Adult (MeSH).
- MESH :
- chemical , therapeutic use : Influenza Vaccines.
- epidemiology : Europe, Netherlands, Poland, Spain, Sweden.
- immunology : Communicable Diseases.
- prevention & control : Influenza, Human, Pandemics.
- psychology : Communicable Diseases, Vaccination.
- statistics & numerical data : Immunization Programs, Patient Acceptance of Health Care, Vaccination.
- Adolescent, Adult, Aged, Choice Behavior, Health Surveys, Humans, Male, Middle Aged, Predictive Value of Tests, Young Adult.
Abstract
This study aims to quantify and compare preferences of citizens from different European countries for vaccination programme characteristics during pandemics, caused by pathogens which are transmitted through respiratory droplets. Internet panel members, nationally representative based on age, sex, educational level and region, of four European Union Member States (Netherlands, Poland, Spain, and Sweden, n = 2,068) completed an online discrete choice experiment. These countries, from different geographical areas of Europe, were chosen because of the availability of high-quality Internet panels and because of the cooperation between members of the project entitled Effective Communication in Outbreak Management: development of an evidence-based tool for Europe (ECOM). Data were analysed using panel latent class regression models. In the case of a severe pandemic scenario, vaccine effectiveness was the most important characteristic determining vaccination preference in all countries, followed by the body that advises on vaccination. In Sweden, the advice of family and/or friends and the advice of physicians strongly affected vaccine preferences, in contrast to Poland and Spain, where the advice of (international) health authorities was more decisive. Irrespective of pandemic scenario or vaccination programme characteristics, the predicted vaccination uptakes were lowest in Sweden, and highest in Poland. To increase vaccination uptake during future pandemics, the responsible authorities should align with other important stakeholders in the country and communicate in a coordinated manner.
DOI: 10.2807/1560-7917.ES.2016.21.22.30247
PubMed: 27277581
Affiliations:
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antigrippaux</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Espagne</term><term>Europe</term><term>Pays-Bas</term><term>Pologne</term><term>Suède</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Choice Behavior</term><term>Health Surveys</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Predictive Value of Tests</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Comportement de choix</term><term>Enquêtes de santé</term><term>Humains</term><term>Jeune adulte</term><term>Mâle</term><term>Sujet âgé</term><term>Valeur prédictive des tests</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This study aims to quantify and compare preferences of citizens from different European countries for vaccination programme characteristics during pandemics, caused by pathogens which are transmitted through respiratory droplets. Internet panel members, nationally representative based on age, sex, educational level and region, of four European Union Member States (Netherlands, Poland, Spain, and Sweden, n = 2,068) completed an online discrete choice experiment. These countries, from different geographical areas of Europe, were chosen because of the availability of high-quality Internet panels and because of the cooperation between members of the project entitled Effective Communication in Outbreak Management: development of an evidence-based tool for Europe (ECOM). Data were analysed using panel latent class regression models. In the case of a severe pandemic scenario, vaccine effectiveness was the most important characteristic determining vaccination preference in all countries, followed by the body that advises on vaccination. In Sweden, the advice of family and/or friends and the advice of physicians strongly affected vaccine preferences, in contrast to Poland and Spain, where the advice of (international) health authorities was more decisive. Irrespective of pandemic scenario or vaccination programme characteristics, the predicted vaccination uptakes were lowest in Sweden, and highest in Poland. To increase vaccination uptake during future pandemics, the responsible authorities should align with other important stakeholders in the country and communicate in a coordinated manner. </div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">27277581</PMID><DateCompleted><Year>2017</Year><Month>02</Month><Day>27</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>02</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1560-7917</ISSN><JournalIssue CitedMedium="Internet"><Volume>21</Volume><Issue>22</Issue><PubDate><Year>2016</Year><Month>Jun</Month><Day>02</Day></PubDate></JournalIssue><Title>Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin</Title><ISOAbbreviation>Euro Surveill.</ISOAbbreviation></Journal><ArticleTitle>Public preferences for vaccination programmes during pandemics caused by pathogens transmitted through respiratory droplets - a discrete choice experiment in four European countries, 2013.</ArticleTitle><ELocationID EIdType="doi" ValidYN="Y">10.2807/1560-7917.ES.2016.21.22.30247</ELocationID><Abstract><AbstractText>This study aims to quantify and compare preferences of citizens from different European countries for vaccination programme characteristics during pandemics, caused by pathogens which are transmitted through respiratory droplets. Internet panel members, nationally representative based on age, sex, educational level and region, of four European Union Member States (Netherlands, Poland, Spain, and Sweden, n = 2,068) completed an online discrete choice experiment. These countries, from different geographical areas of Europe, were chosen because of the availability of high-quality Internet panels and because of the cooperation between members of the project entitled Effective Communication in Outbreak Management: development of an evidence-based tool for Europe (ECOM). Data were analysed using panel latent class regression models. In the case of a severe pandemic scenario, vaccine effectiveness was the most important characteristic determining vaccination preference in all countries, followed by the body that advises on vaccination. In Sweden, the advice of family and/or friends and the advice of physicians strongly affected vaccine preferences, in contrast to Poland and Spain, where the advice of (international) health authorities was more decisive. Irrespective of pandemic scenario or vaccination programme characteristics, the predicted vaccination uptakes were lowest in Sweden, and highest in Poland. To increase vaccination uptake during future pandemics, the responsible authorities should align with other important stakeholders in the country and communicate in a coordinated manner. </AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Determann</LastName><ForeName>Domino</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Korfage</LastName><ForeName>Ida J</ForeName><Initials>IJ</Initials></Author><Author ValidYN="Y"><LastName>Fagerlin</LastName><ForeName>Angela</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Steyerberg</LastName><ForeName>Ewout W</ForeName><Initials>EW</Initials></Author><Author ValidYN="Y"><LastName>Bliemer</LastName><ForeName>Michiel C</ForeName><Initials>MC</Initials></Author><Author ValidYN="Y"><LastName>Voeten</LastName><ForeName>Helene A</ForeName><Initials>HA</Initials></Author><Author ValidYN="Y"><LastName>Richardus</LastName><ForeName>Jan Hendrik</ForeName><Initials>JH</Initials></Author><Author ValidYN="Y"><LastName>Lambooij</LastName><ForeName>Mattijs S</ForeName><Initials>MS</Initials></Author><Author ValidYN="Y"><LastName>de Bekker-Grob</LastName><ForeName>Esther W</ForeName><Initials>EW</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Sweden</Country><MedlineTA>Euro Surveill</MedlineTA><NlmUniqueID>100887452</NlmUniqueID><ISSNLinking>1025-496X</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D007252">Influenza Vaccines</NameOfSubstance></Chemical></ChemicalList><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="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002755" MajorTopicYN="Y">Choice Behavior</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003141" MajorTopicYN="N">Communicable Diseases</DescriptorName><QualifierName UI="Q000276" MajorTopicYN="N">immunology</QualifierName><QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005060" MajorTopicYN="N">Europe</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006306" MajorTopicYN="N">Health Surveys</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017589" MajorTopicYN="N">Immunization Programs</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007252" MajorTopicYN="N">Influenza Vaccines</DescriptorName><QualifierName UI="Q000627" MajorTopicYN="N">therapeutic use</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009426" MajorTopicYN="N">Netherlands</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010342" MajorTopicYN="N">Patient Acceptance of Health Care</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011044" MajorTopicYN="N">Poland</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011237" MajorTopicYN="N">Predictive Value of Tests</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N">Spain</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013548" MajorTopicYN="N">Sweden</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014611" MajorTopicYN="N">Vaccination</DescriptorName><QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Infection control</Keyword><Keyword MajorTopicYN="N">emerging or re-emerging diseases</Keyword><Keyword MajorTopicYN="N">public health policy</Keyword><Keyword MajorTopicYN="N">vaccines and immunisation</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2015</Year><Month>03</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2016</Year><Month>06</Month><Day>02</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>6</Month><Day>10</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>6</Month><Day>10</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>2</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">27277581</ArticleId><ArticleId IdType="doi">10.2807/1560-7917.ES.2016.21.22.30247</ArticleId><ArticleId IdType="pii">30247</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Pays-Bas</li></country><region><li>Hollande-Méridionale</li></region><settlement><li>Rotterdam</li></settlement></list><tree><noCountry><name sortKey="Bliemer, Michiel C" sort="Bliemer, Michiel C" uniqKey="Bliemer M" first="Michiel C" last="Bliemer">Michiel C. Bliemer</name><name sortKey="De Bekker Grob, Esther W" sort="De Bekker Grob, Esther W" uniqKey="De Bekker Grob E" first="Esther W" last="De Bekker-Grob">Esther W. De Bekker-Grob</name><name sortKey="Fagerlin, Angela" sort="Fagerlin, Angela" uniqKey="Fagerlin A" first="Angela" last="Fagerlin">Angela Fagerlin</name><name sortKey="Korfage, Ida J" sort="Korfage, Ida J" uniqKey="Korfage I" first="Ida J" last="Korfage">Ida J. Korfage</name><name sortKey="Lambooij, Mattijs S" sort="Lambooij, Mattijs S" uniqKey="Lambooij M" first="Mattijs S" last="Lambooij">Mattijs S. Lambooij</name><name sortKey="Richardus, Jan Hendrik" sort="Richardus, Jan Hendrik" uniqKey="Richardus J" first="Jan Hendrik" last="Richardus">Jan Hendrik Richardus</name><name sortKey="Steyerberg, Ewout W" sort="Steyerberg, Ewout W" uniqKey="Steyerberg E" first="Ewout W" last="Steyerberg">Ewout W. Steyerberg</name><name sortKey="Voeten, Helene A" sort="Voeten, Helene A" uniqKey="Voeten H" first="Helene A" last="Voeten">Helene A. Voeten</name></noCountry><country name="Pays-Bas"><region name="Hollande-Méridionale"><name sortKey="Determann, Domino" sort="Determann, Domino" uniqKey="Determann D" first="Domino" last="Determann">Domino Determann</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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