Knowledge, attitudes and practices towards pandemic influenza among cases, close contacts, and healthcare workers in tropical Singapore: a cross-sectional survey
Identifieur interne : 003310 ( Main/Merge ); précédent : 003309; suivant : 003311Knowledge, attitudes and practices towards pandemic influenza among cases, close contacts, and healthcare workers in tropical Singapore: a cross-sectional survey
Auteurs : Jonathan Yap ; Vernon J. Lee ; Teng Yan Yau ; Tze Pin Ng ; Phern-Chern TorSource :
- BMC Public Health [ 1471-2458 ] ; 2010.
Descripteurs français
- KwdFr :
- Adulte, Adulte d'âge moyen, Compétence clinique, Connaissances, attitudes et pratiques en santé, Femelle, Grippe humaine (), Grippe humaine (transmission), Grippe humaine (épidémiologie), Humains, Lutte contre l'infection (), Mâle, Pandémies (), Personnel de santé (), Personnel de santé (normes), Personnel de santé (psychologie), Singapour (épidémiologie), Sous-type H1N1 du virus de la grippe A (isolement et purification), Transmission de maladie infectieuse (), Études transversales.
- MESH :
- isolement et purification : Sous-type H1N1 du virus de la grippe A.
- normes : Personnel de santé.
- psychologie : Personnel de santé.
- épidémiologie : Grippe humaine, Singapour.
- Adulte, Adulte d'âge moyen, Compétence clinique, Connaissances, attitudes et pratiques en santé, Femelle, Grippe humaine, Humains, Lutte contre l'infection, Mâle, Pandémies, Personnel de santé, Transmission de maladie infectieuse, Études transversales.
- Wicri :
- geographic : Singapour.
English descriptors
- KwdEn :
- Adult, Clinical Competence, Cross-Sectional Studies, Disease Transmission, Infectious (prevention & control), Female, Health Knowledge, Attitudes, Practice, Health Personnel (psychology), Health Personnel (standards), Health Personnel (statistics & numerical data), Humans, Infection Control (methods), Influenza A Virus, H1N1 Subtype (isolation & purification), Influenza, Human (epidemiology), Influenza, Human (prevention & control), Influenza, Human (transmission), Male, Middle Aged, Pandemics (prevention & control), Singapore (epidemiology).
- MESH :
- geographic , epidemiology : Singapore.
- epidemiology : Influenza, Human.
- isolation & purification : Influenza A Virus, H1N1 Subtype.
- methods : Infection Control.
- prevention & control : Disease Transmission, Infectious, Influenza, Human, Pandemics.
- psychology : Health Personnel.
- standards : Health Personnel.
- statistics & numerical data : Health Personnel.
- transmission : Influenza, Human.
- Adult, Clinical Competence, Cross-Sectional Studies, Female, Health Knowledge, Attitudes, Practice, Humans, Male, Middle Aged.
Abstract
Effective influenza pandemic management requires understanding of the factors influencing behavioral changes. We aim to determine the differences in knowledge, attitudes and practices in various different cohorts and explore the pertinent factors that influenced behavior in tropical Singapore.
We performed a cross-sectional knowledge, attitudes and practices survey in the Singapore military from mid-August to early-October 2009, among 3054 personnel in four exposure groups - laboratory-confirmed H1N1-2009 cases, close contacts of cases, healthcare workers, and general personnel.
1063 (34.8%) participants responded. The mean age was 21.4 (SE 0.2) years old. Close contacts had the highest knowledge score (71.7%, p = 0.004) while cases had the highest practice scores (58.8%, p < 0.001). There was a strong correlation between knowledge and practice scores (r = 0.27, p < 0.01) and knowledge and attitudes scores (r = 0.21, p < 0.01). The significant predictors of higher practice scores were higher knowledge scores (p < 0.001), Malay ethnicity (p < 0.001), exposure group (p < 0.05) and lower education level (p < 0.05). The significant predictors for higher attitudes scores were Malay ethnicity (p = 0.014) and higher knowledge scores (p < 0.001). The significant predictor for higher knowledge score was being a contact (p = 0.007).
Knowledge is a significant influence on attitudes and practices in a pandemic, and personal experience influences practice behaviors. Efforts should be targeted at educating the general population to improve practices in the current pandemic, as well as for future epidemics.
Url:
DOI: 10.1186/1471-2458-10-442
PubMed: 20667076
PubMed Central: 2916908
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PMC:2916908Le document en format XML
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sortKey="Yap, Jonathan" sort="Yap, Jonathan" uniqKey="Yap J" first="Jonathan" last="Yap">Jonathan Yap</name><affiliation><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="GRID">grid.452314.5</institution-id><institution>Biodefence Centre,</institution><institution>Ministry of Defence,</institution></institution-wrap>Singapore</nlm:aff></affiliation></author><author><name sortKey="Lee, Vernon J" sort="Lee, Vernon J" uniqKey="Lee V" first="Vernon J" last="Lee">Vernon J. Lee</name><affiliation><nlm:aff id="Aff1"><institution-wrap><institution-id institution-id-type="GRID">grid.452314.5</institution-id><institution>Biodefence Centre,</institution><institution>Ministry of Defence,</institution></institution-wrap>Singapore</nlm:aff></affiliation><affiliation><nlm:aff id="Aff2"><institution-wrap><institution-id institution-id-type="GRID">grid.4280.e</institution-id><institution-id institution-id-type="ISNI">0000000121806431</institution-id><institution>Department of Epidemiology and Public Health,</institution><institution>National University of Singapore,</institution></institution-wrap>Singapore</nlm:aff></affiliation><affiliation><nlm:aff id="Aff3"><institution-wrap><institution-id institution-id-type="GRID">grid.4280.e</institution-id><institution-id institution-id-type="ISNI">0000000121806431</institution-id><institution>Centre for Health Services Research,</institution><institution>National University of 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Ng</name><affiliation><nlm:aff id="Aff6"><institution-wrap><institution-id institution-id-type="GRID">grid.412106.0</institution-id><institution-id institution-id-type="ISNI">0000000406219599</institution-id><institution>Department of Psychological Medicine,</institution><institution>National University Hospital,</institution></institution-wrap>Singapore</nlm:aff></affiliation></author><author><name sortKey="Tor, Phern Chern" sort="Tor, Phern Chern" uniqKey="Tor P" first="Phern-Chern" last="Tor">Phern-Chern Tor</name><affiliation><nlm:aff id="Aff5"><institution-wrap><institution-id institution-id-type="GRID">grid.452314.5</institution-id><institution>Healthcare Branch,</institution><institution>Ministry of Defence,</institution></institution-wrap>Singapore</nlm:aff></affiliation><affiliation><nlm:aff id="Aff6"><institution-wrap><institution-id institution-id-type="GRID">grid.412106.0</institution-id><institution-id institution-id-type="ISNI">0000000406219599</institution-id><institution>Department of Psychological Medicine,</institution><institution>National University Hospital,</institution></institution-wrap>Singapore</nlm:aff></affiliation></author></analytic><series><title level="j">BMC Public Health</title><idno type="eISSN">1471-2458</idno><imprint><date when="2010">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Clinical Competence</term><term>Cross-Sectional Studies</term><term>Disease Transmission, Infectious (prevention & control)</term><term>Female</term><term>Health Knowledge, Attitudes, Practice</term><term>Health Personnel (psychology)</term><term>Health Personnel (standards)</term><term>Health Personnel (statistics & numerical data)</term><term>Humans</term><term>Infection Control (methods)</term><term>Influenza A Virus, H1N1 Subtype (isolation & purification)</term><term>Influenza, Human (epidemiology)</term><term>Influenza, Human (prevention & control)</term><term>Influenza, Human (transmission)</term><term>Male</term><term>Middle Aged</term><term>Pandemics (prevention & control)</term><term>Singapore (epidemiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Compétence clinique</term><term>Connaissances, attitudes et pratiques en santé</term><term>Femelle</term><term>Grippe humaine ()</term><term>Grippe humaine (transmission)</term><term>Grippe humaine (épidémiologie)</term><term>Humains</term><term>Lutte contre l'infection ()</term><term>Mâle</term><term>Pandémies ()</term><term>Personnel de santé ()</term><term>Personnel de santé (normes)</term><term>Personnel de santé (psychologie)</term><term>Singapour (épidémiologie)</term><term>Sous-type H1N1 du virus de la grippe A (isolement et purification)</term><term>Transmission de maladie infectieuse ()</term><term>Études transversales</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Singapore</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Influenza A Virus, H1N1 Subtype</term></keywords><keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Sous-type H1N1 du virus de la grippe A</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Infection Control</term></keywords><keywords scheme="MESH" qualifier="normes" xml:lang="fr"><term>Personnel de santé</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Disease Transmission, Infectious</term><term>Influenza, Human</term><term>Pandemics</term></keywords><keywords scheme="MESH" qualifier="psychologie" xml:lang="fr"><term>Personnel de santé</term></keywords><keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>Health Personnel</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Health Personnel</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Health Personnel</term></keywords><keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Grippe humaine</term><term>Singapour</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Clinical Competence</term><term>Cross-Sectional Studies</term><term>Female</term><term>Health Knowledge, Attitudes, Practice</term><term>Humans</term><term>Male</term><term>Middle Aged</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Compétence clinique</term><term>Connaissances, attitudes et pratiques en santé</term><term>Femelle</term><term>Grippe humaine</term><term>Humains</term><term>Lutte contre l'infection</term><term>Mâle</term><term>Pandémies</term><term>Personnel de santé</term><term>Transmission de maladie infectieuse</term><term>Études transversales</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Singapour</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>Effective influenza pandemic management requires understanding of the factors influencing behavioral changes. We aim to determine the differences in knowledge, attitudes and practices in various different cohorts and explore the pertinent factors that influenced behavior in tropical Singapore.</p></sec><sec><title>Methods</title><p>We performed a cross-sectional knowledge, attitudes and practices survey in the Singapore military from mid-August to early-October 2009, among 3054 personnel in four exposure groups - laboratory-confirmed H1N1-2009 cases, close contacts of cases, healthcare workers, and general personnel.</p></sec><sec><title>Results</title><p>1063 (34.8%) participants responded. The mean age was 21.4 (SE 0.2) years old. Close contacts had the highest knowledge score (71.7%, p = 0.004) while cases had the highest practice scores (58.8%, p < 0.001). There was a strong correlation between knowledge and practice scores (r = 0.27, p < 0.01) and knowledge and attitudes scores (r = 0.21, p < 0.01). The significant predictors of higher practice scores were higher knowledge scores (p < 0.001), Malay ethnicity (p < 0.001), exposure group (p < 0.05) and lower education level (p < 0.05). The significant predictors for higher attitudes scores were Malay ethnicity (p = 0.014) and higher knowledge scores (p < 0.001). The significant predictor for higher knowledge score was being a contact (p = 0.007).</p></sec><sec><title>Conclusion</title><p>Knowledge is a significant influence on attitudes and practices in a pandemic, and personal experience influences practice behaviors. Efforts should be targeted at educating the general population to improve practices in the current pandemic, as well as for future epidemics.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Tang, Csk" uniqKey="Tang C">CSK Tang</name></author><author><name sortKey="Wong, Cy" uniqKey="Wong C">CY Wong</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Lau, Jtf" uniqKey="Lau J">JTF Lau</name></author><author><name sortKey="Yang, X" uniqKey="Yang X">X Yang</name></author><author><name sortKey="Tsui, H" uniqKey="Tsui H">H Tsui</name></author><author><name sortKey="Kim, Jh" uniqKey="Kim J">JH Kim</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Tang, Csk" uniqKey="Tang C">CSK Tang</name></author><author><name sortKey="Wong, Cy" uniqKey="Wong C">CY Wong</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Leung, Gm" uniqKey="Leung G">GM Leung</name></author><author><name sortKey="Ho, Lm" uniqKey="Ho L">LM Ho</name></author><author><name sortKey="Chan, Sk" uniqKey="Chan S">SK Chan</name></author><author><name sortKey="Ho, Sy" uniqKey="Ho S">SY Ho</name></author><author><name sortKey="Bacon Shone, J" uniqKey="Bacon Shone J">J Bacon-Shone</name></author><author><name sortKey="Choy, Ry" uniqKey="Choy R">RY Choy</name></author><author><name sortKey="Hedley, Aj" uniqKey="Hedley A">AJ Hedley</name></author><author><name sortKey="Lam, Th" uniqKey="Lam T">TH Lam</name></author><author><name sortKey="Fielding, R" uniqKey="Fielding R">R Fielding</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Leung, Gm" uniqKey="Leung G">GM Leung</name></author><author><name sortKey="Quah, S" uniqKey="Quah S">S Quah</name></author><author><name sortKey="Ho, Lm" uniqKey="Ho L">LM Ho</name></author><author><name sortKey="Ho, Sy" uniqKey="Ho S">SY 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