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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Willingness of Hong Kong healthcare workers to accept pre-pandemic influenza vaccination at different WHO alert levels: two questionnaire surveys</title><author><name sortKey="Chor, Josette S Y" sort="Chor, Josette S Y" uniqKey="Chor J" first="Josette S Y" last="Chor">Josette S Y. Chor</name><affiliation><nlm:aff id="aff1">School of Public Health and Primary Care, Chinese University of Hong Kong, School of Public Health, Prince of Wales Hospital, Shatin, Hong Kong</nlm:aff></affiliation></author><author><name sortKey="Ngai, Karry Lk" sort="Ngai, Karry Lk" uniqKey="Ngai K" first="Karry Lk" last="Ngai">Karry Lk Ngai</name><affiliation><nlm:aff id="aff2">Department of Microbiology, Chinese University of Hong Kong, Prince of Wales Hospital</nlm:aff></affiliation></author><author><name sortKey="Goggins, William B" sort="Goggins, William B" uniqKey="Goggins W" first="William B" last="Goggins">William B. Goggins</name><affiliation><nlm:aff id="aff1">School of Public Health and Primary Care, Chinese University of Hong Kong, School of Public Health, Prince of Wales Hospital, Shatin, Hong Kong</nlm:aff></affiliation></author><author><name sortKey="Wong, Martin C S" sort="Wong, Martin C S" uniqKey="Wong M" first="Martin C S" last="Wong">Martin C S. Wong</name><affiliation><nlm:aff id="aff1">School of Public Health and Primary Care, Chinese University of Hong Kong, School of Public Health, Prince of Wales Hospital, Shatin, Hong Kong</nlm:aff></affiliation></author><author><name sortKey="Wong, Samuel Y S" sort="Wong, Samuel Y S" uniqKey="Wong S" first="Samuel Y S" last="Wong">Samuel Y S. Wong</name><affiliation><nlm:aff id="aff1">School of Public Health and Primary Care, Chinese University of Hong Kong, School of Public Health, Prince of Wales Hospital, Shatin, Hong Kong</nlm:aff></affiliation></author><author><name sortKey="Lee, Nelson" sort="Lee, Nelson" uniqKey="Lee N" first="Nelson" last="Lee">Nelson Lee</name><affiliation><nlm:aff id="aff3">Division of Infectious Diseases, Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital</nlm:aff></affiliation></author><author><name sortKey="Leung, Ting Fan" sort="Leung, Ting Fan" uniqKey="Leung T" first="Ting-Fan" last="Leung">Ting-Fan Leung</name><affiliation><nlm:aff id="aff4">Department of Paediatrics, Chinese University of Hong Kong, Prince of Wales Hospital</nlm:aff></affiliation></author><author><name sortKey="Rainer, Timothy H" sort="Rainer, Timothy H" uniqKey="Rainer T" first="Timothy H" last="Rainer">Timothy H. Rainer</name><affiliation><nlm:aff id="aff5">Accident and Emergency Medicine Academic Unit, Chinese University of Hong Kong, Prince of Wales Hospital</nlm:aff></affiliation></author><author><name sortKey="Griffiths, Sian" sort="Griffiths, Sian" uniqKey="Griffiths S" first="Sian" last="Griffiths">Sian Griffiths</name><affiliation><nlm:aff id="aff1">School of Public Health and Primary Care, Chinese University of Hong Kong, School of Public Health, Prince of Wales Hospital, Shatin, Hong Kong</nlm:aff></affiliation></author><author><name sortKey="Chan, Paul K S" sort="Chan, Paul K S" uniqKey="Chan P" first="Paul K S" last="Chan">Paul K S. Chan</name><affiliation><nlm:aff id="aff2">Department of Microbiology, Chinese University of Hong Kong, Prince of Wales Hospital</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">19706937</idno><idno type="pmc">2731837</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2731837</idno><idno type="RBID">PMC:2731837</idno><idno type="doi">10.1136/bmj.b3391</idno><date when="2009">2009</date><idno type="wicri:Area/Pmc/Corpus">000072</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000072</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Willingness of Hong Kong healthcare workers to accept pre-pandemic influenza vaccination at different WHO alert levels: two questionnaire surveys</title><author><name sortKey="Chor, Josette S Y" sort="Chor, Josette S Y" uniqKey="Chor J" first="Josette S Y" last="Chor">Josette S Y. Chor</name><affiliation><nlm:aff id="aff1">School of Public Health and Primary Care, Chinese University of Hong Kong, School of Public Health, Prince of Wales Hospital, Shatin, Hong Kong</nlm:aff></affiliation></author><author><name sortKey="Ngai, Karry Lk" sort="Ngai, Karry Lk" uniqKey="Ngai K" first="Karry Lk" last="Ngai">Karry Lk Ngai</name><affiliation><nlm:aff id="aff2">Department of Microbiology, Chinese University of Hong Kong, Prince of Wales Hospital</nlm:aff></affiliation></author><author><name sortKey="Goggins, William B" sort="Goggins, William B" uniqKey="Goggins W" first="William B" last="Goggins">William B. Goggins</name><affiliation><nlm:aff id="aff1">School of Public Health and Primary Care, Chinese University of Hong Kong, School of Public Health, Prince of Wales Hospital, Shatin, Hong Kong</nlm:aff></affiliation></author><author><name sortKey="Wong, Martin C S" sort="Wong, Martin C S" uniqKey="Wong M" first="Martin C S" last="Wong">Martin C S. Wong</name><affiliation><nlm:aff id="aff1">School of Public Health and Primary Care, Chinese University of Hong Kong, School of Public Health, Prince of Wales Hospital, Shatin, Hong Kong</nlm:aff></affiliation></author><author><name sortKey="Wong, Samuel Y S" sort="Wong, Samuel Y S" uniqKey="Wong S" first="Samuel Y S" last="Wong">Samuel Y S. Wong</name><affiliation><nlm:aff id="aff1">School of Public Health and Primary Care, Chinese University of Hong Kong, School of Public Health, Prince of Wales Hospital, Shatin, Hong Kong</nlm:aff></affiliation></author><author><name sortKey="Lee, Nelson" sort="Lee, Nelson" uniqKey="Lee N" first="Nelson" last="Lee">Nelson Lee</name><affiliation><nlm:aff id="aff3">Division of Infectious Diseases, Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital</nlm:aff></affiliation></author><author><name sortKey="Leung, Ting Fan" sort="Leung, Ting Fan" uniqKey="Leung T" first="Ting-Fan" last="Leung">Ting-Fan Leung</name><affiliation><nlm:aff id="aff4">Department of Paediatrics, Chinese University of Hong Kong, Prince of Wales Hospital</nlm:aff></affiliation></author><author><name sortKey="Rainer, Timothy H" sort="Rainer, Timothy H" uniqKey="Rainer T" first="Timothy H" last="Rainer">Timothy H. Rainer</name><affiliation><nlm:aff id="aff5">Accident and Emergency Medicine Academic Unit, Chinese University of Hong Kong, Prince of Wales Hospital</nlm:aff></affiliation></author><author><name sortKey="Griffiths, Sian" sort="Griffiths, Sian" uniqKey="Griffiths S" first="Sian" last="Griffiths">Sian Griffiths</name><affiliation><nlm:aff id="aff1">School of Public Health and Primary Care, Chinese University of Hong Kong, School of Public Health, Prince of Wales Hospital, Shatin, Hong Kong</nlm:aff></affiliation></author><author><name sortKey="Chan, Paul K S" sort="Chan, Paul K S" uniqKey="Chan P" first="Paul K S" last="Chan">Paul K S. Chan</name><affiliation><nlm:aff id="aff2">Department of Microbiology, Chinese University of Hong Kong, Prince of Wales Hospital</nlm:aff></affiliation></author></analytic><series><title level="j">The BMJ</title><idno type="ISSN">0959-8138</idno><idno type="eISSN">1756-1833</idno><imprint><date when="2009">2009</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><bold>Objective </bold>To assess the acceptability of pre-pandemic influenza vaccination among healthcare workers in public hospitals in Hong Kong and the effect of escalation in the World Health Organization’s alert level for an influenza pandemic.</p><p><bold>Design </bold>Repeated cross sectional studies using self administered, anonymous questionnaires</p><p><bold>Setting </bold>Surveys at 31 hospital departments of internal medicine, paediatrics, and emergency medicine under the Hong Kong Hospital Authority from January to March 2009 and in May 2009</p><p><bold>Participants </bold>2255 healthcare workers completed the questionnaires in the two studies. They were doctors, nurses, or allied health professionals working in the public hospital system.</p><p><bold>Main outcome measures </bold>Stated willingness to accept pre-pandemic influenza vaccination (influenza A subtypes H5N1 or H1N1) and its associating factors.</p><p><bold>Results </bold>The overall willingness to accept pre-pandemic H5N1 vaccine was only 28.4% in the first survey, conducted at WHO influenza pandemic alert phase 3. No significant changes in the level of willingness to accept pre-pandemic H5N1 vaccine were observed despite the escalation to alert phase 5. The willingness to accept pre-pandemic H1N1 vaccine was 47.9% among healthcare workers when the WHO alert level was at phase 5. The most common reasons for an intention to accept were “wish to be protected” and “following health authority’s advice.” The major barriers identified were fear of side effects and doubts about efficacy. More than half of the respondents thought nurses should be the first priority group to receive the vaccines. The strongest positive associating factors were history of seasonal influenza vaccination and perceived risk of contracting the infection. </p><p><bold>Conclusions </bold>The willingness to accept pre-pandemic influenza vaccination was low, and no significant effect was observed with the change in WHO alert level. Further studies are required to elucidate the root cause of the low intention to accept pre-pandemic vaccination.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct></listBibl></div1></back></TEI><pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">BMJ</journal-id><journal-id journal-id-type="iso-abbrev">BMJ</journal-id><journal-id journal-id-type="publisher-id">bmj</journal-id><journal-title-group><journal-title>The BMJ</journal-title></journal-title-group><issn pub-type="ppub">0959-8138</issn><issn pub-type="epub">1756-1833</issn><publisher><publisher-name>BMJ Publishing Group Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">19706937</article-id><article-id pub-id-type="pmc">2731837</article-id><article-id pub-id-type="publisher-id">choj695056</article-id><article-id pub-id-type="doi">10.1136/bmj.b3391</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research</subject></subj-group><subj-group subj-group-type="hw-coll-titles"><subject>Infectious Diseases</subject><subject>Epidemiologic Studies</subject><subject>Immunology (Including Allergy)</subject><subject>Child Health</subject></subj-group></article-categories><title-group><article-title>Willingness of Hong Kong healthcare workers to accept pre-pandemic influenza vaccination at different WHO alert levels: two questionnaire surveys</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Chor</surname><given-names>Josette S Y</given-names></name><role>assistant professor</role><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name><surname>Ngai</surname><given-names>Karry LK</given-names></name><role>postdoctoral fellow</role><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name><surname>Goggins</surname><given-names>William B</given-names></name><role>assistant professor</role><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name><surname>Wong</surname><given-names>Martin C S</given-names></name><role>associate professor</role><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name><surname>Wong</surname><given-names>Samuel Y S</given-names></name><role>associate professor</role><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name><surname>Lee</surname><given-names>Nelson</given-names></name><role>associate professor</role><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author"><name><surname>Leung</surname><given-names>Ting-fan</given-names></name><role>professor</role><xref ref-type="aff" rid="aff4">4</xref></contrib><contrib contrib-type="author"><name><surname>Rainer</surname><given-names>Timothy H</given-names></name><role>professor</role><xref ref-type="aff" rid="aff5">5</xref></contrib><contrib contrib-type="author"><name><surname>Griffiths</surname><given-names>Sian</given-names></name><role>professor</role><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" corresp="yes"><name><surname>Chan</surname><given-names>Paul K S</given-names></name><role>professor</role><xref ref-type="aff" rid="aff2">2</xref></contrib><aff id="aff1"><label>1</label>School of Public Health and Primary Care, Chinese University of Hong Kong, School of Public Health, Prince of Wales Hospital, Shatin, Hong Kong</aff><aff id="aff2"><label>2</label>Department of Microbiology, Chinese University of Hong Kong, Prince of Wales Hospital</aff><aff id="aff3"><label>3</label>Division of Infectious Diseases, Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital</aff><aff id="aff4"><label>4</label>Department of Paediatrics, Chinese University of Hong Kong, Prince of Wales Hospital</aff><aff id="aff5"><label>5</label>Accident and Emergency Medicine Academic Unit, Chinese University of Hong Kong, Prince of Wales Hospital</aff></contrib-group><author-notes><corresp>Correspondence to: P K S Chan <email>paulkschan@cuhk.edu.hk</email></corresp></author-notes><pub-date pub-type="collection"><year>2009</year></pub-date><pub-date pub-type="epub"><day>25</day><month>8</month><year>2009</year></pub-date><volume>339</volume><elocation-id>b3391</elocation-id><history><date date-type="accepted"><day>13</day><month>8</month><year>2009</year></date></history><permissions><license license-type="open-access"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/2.0/">http://creativecommons.org/licenses/by-nc/2.0/</ext-link> and <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/2.0/legalcode">http://creativecommons.org/licenses/by-nc/2.0/legalcode</ext-link>.</license-p></license></permissions><self-uri xlink:title="pdf" xlink:type="simple" xlink:href="bmj.b3391_default.pdf"></self-uri><abstract><p><bold>Objective </bold>To assess the acceptability of pre-pandemic influenza vaccination among healthcare workers in public hospitals in Hong Kong and the effect of escalation in the World Health Organization’s alert level for an influenza pandemic.</p><p><bold>Design </bold>Repeated cross sectional studies using self administered, anonymous questionnaires</p><p><bold>Setting </bold>Surveys at 31 hospital departments of internal medicine, paediatrics, and emergency medicine under the Hong Kong Hospital Authority from January to March 2009 and in May 2009</p><p><bold>Participants </bold>2255 healthcare workers completed the questionnaires in the two studies. They were doctors, nurses, or allied health professionals working in the public hospital system.</p><p><bold>Main outcome measures </bold>Stated willingness to accept pre-pandemic influenza vaccination (influenza A subtypes H5N1 or H1N1) and its associating factors.</p><p><bold>Results </bold>The overall willingness to accept pre-pandemic H5N1 vaccine was only 28.4% in the first survey, conducted at WHO influenza pandemic alert phase 3. No significant changes in the level of willingness to accept pre-pandemic H5N1 vaccine were observed despite the escalation to alert phase 5. The willingness to accept pre-pandemic H1N1 vaccine was 47.9% among healthcare workers when the WHO alert level was at phase 5. The most common reasons for an intention to accept were “wish to be protected” and “following health authority’s advice.” The major barriers identified were fear of side effects and doubts about efficacy. More than half of the respondents thought nurses should be the first priority group to receive the vaccines. The strongest positive associating factors were history of seasonal influenza vaccination and perceived risk of contracting the infection. </p><p><bold>Conclusions </bold>The willingness to accept pre-pandemic influenza vaccination was low, and no significant effect was observed with the change in WHO alert level. Further studies are required to elucidate the root cause of the low intention to accept pre-pandemic vaccination.</p></abstract></article-meta></front><body><sec sec-type="intro"><title>Introduction</title><p>In 2005 the World Health Organization recommended its member states to revise or construct a preparedness plan for pandemic influenza. The WHO also set up a system of influenza pandemic alert levels. Phases 1-3 include capacity development and response planning, while phases 4-6 signify the need for response and mitigation efforts.<xref rid="ref1" ref-type="bibr">1</xref> By August 2008, 47 countries had prepared such a plan.<xref rid="ref2" ref-type="bibr">2</xref> The recent spread of infection with a novel influenza A virus (H1N1 subtype) of swine origin (“swine flu”) has prompted governments to review and carry out their pandemic responses, including vaccination strategies. </p><p>Modelling studies have shown that vaccination is an effective measure to reduce infection, hospitalisation, mortality and morbidity.<xref rid="ref3" ref-type="bibr">3</xref> Since the supply of vaccines will be limited at the beginning of the influenza pandemic, prioritisation in the administration of the vaccines has been one of the major components in pandemic preparedness. Governments in different countries have issued consultation documents outlining their proposed vaccination policies.<xref rid="ref4" ref-type="bibr">4</xref><xref rid="ref5" ref-type="bibr">5</xref> In nearly all countries with a preparedness plan, healthcare workers are listed as the priority group for mass vaccination.<xref rid="ref6" ref-type="bibr">6</xref><xref rid="ref7" ref-type="bibr">7</xref></p><p>The American College of Physicians position statement supports measures to increase the supply of influenza vaccine and antiviral drugs in the strategic national stockpile.<xref rid="ref8" ref-type="bibr">8</xref> Pre-pandemic H5N1 vaccine is now ready and stockpiled by many countries. The first batch of H1N1 vaccine is expected to be available by the end of 2009 or early 2010.<xref rid="ref9" ref-type="bibr">9</xref> More than 30 governments have placed their orders.<xref rid="ref9" ref-type="bibr">9</xref> For example, Hong Kong has decided to buy five million doses for its population of seven million, and the UK Department of Health has ordered 130 million doses of vaccine for its population of 61 million. However, healthcare workers’ acceptance of the H5N1 and H1N1 vaccines is unknown. A survey conducted in May, when the pandemic level was already at phase 5, revealed that the general public in Hong Kong did not perceive swine flu (H1N1 influenza) as a threatening disease and did not think an outbreak to be highly likely.<xref rid="ref10" ref-type="bibr">10</xref></p><p>The uptake of pre-pandemic vaccination among healthcare workers is a concern as the uptake of seasonal influenza vaccine is often low. In most studies, fewer than 60% of healthcare workers were vaccinated against seasonal influenza in various clinical settings. The most common barriers were fear of side effects, uncertainty about the vaccine’s efficacy, and misconceptions about the vaccination and the infection.<xref rid="ref11" ref-type="bibr">11</xref><xref rid="ref12" ref-type="bibr">12</xref><xref rid="ref13" ref-type="bibr">13</xref><xref rid="ref14" ref-type="bibr">14</xref><xref rid="ref15" ref-type="bibr">15</xref></p><p>One study in the UK of 520 participants found that 57.7% of healthcare workers expressed willingness to accept vaccination with the stockpiled H5N1 vaccine. Willingness was associated with perceived risk and benefits, and previous seasonal vaccination.<xref rid="ref16" ref-type="bibr">16</xref></p><p>The aim of our study was to investigate the stated acceptability of pre-pandemic vaccination (H5N1 or H1N1 vaccine) and its associated factors among public hospital based healthcare workers in the departments of accident and emergency medicine, internal medicine, and paediatrics in Hong Kong. We also investigated the effect of escalation of the WHO pandemic influenza alert level on the acceptability of pre-pandemic vaccination.</p></sec><sec sec-type="methods"><title>Methods</title><p>The first survey was conducted from January 2009 to March 2009. The WHO influenza pandemic alert level assigned to H5N1 during that period was phase 3. Phase 3 signifies an animal or human-animal influenza reassortant virus that has caused sporadic cases or small clusters of disease in people but has not resulted in human to human transmission sufficient to sustain community level outbreaks. Limited human to human transmission may occur under some circumstances, such as when there is close contact between an infected person and an unprotected carer. However, limited transmission under such restricted circumstances does not indicate that the virus has gained the level of transmissibility among humans necessary to cause a pandemic.</p><p>We recruited healthcare workers only in public hospitals in this study because 94% of secondary and tertiary healthcare services in Hong Kong are provided by these hospitals. Pandemic influenza patients will be primarily treated in these hospitals—as occurred in the outbreak of SARS (severe acute respiratory syndrome), when public healthcare workers were at the highest risk for contracting infection.</p><p>All department heads (42 departments with 8508 doctors and nurses) of emergency medicine, internal medicine, and paediatrics units under the Hong Kong Hospital Authority were contacted through emails, invitation letters, or telephone calls to obtain approval to send the questionnaires to their staff. These departments were chosen as their staff are at the highest risk of exposure to patients with influenza. We also sent invitation letters to the physiotherapy and occupational therapy departments under the Hospital Authority.</p><p>Self administered, anonymous questionnaires were used in both surveys. The questionnaire consisted of five sections with 17 questions: (1) demographics, patient contact, and history of seasonal influenza vaccination in 2008-9; (2) willingness to accept pre-pandemic vaccination with H5N1 vaccine; (3) willingness to accept pandemic vaccination with H1N1 vaccine (the second survey only); (4) perception of risk and seriousness of the pandemic influenza; and (5) suggestions on deployment of duties during pandemic flu, opinion on mandatory vaccination, and the possible ways of disposal for nearly expired vaccines. The participants were requested to send the completed questionnaires via internal mail.</p><p>The second survey was conducted in May 2009 when the WHO pandemic influenza alert level assigned to H1N1 influenza (swine flu) was phase 5. Phase 5 signifies human to human spread of the virus into at least two countries within one WHO region. Although most countries are not affected at this stage, the declaration of phase 5 is a strong signal that a pandemic is imminent and that the time to finalise the organisation, communication, and implementation of the planned mitigation measures is short.<xref rid="ref1" ref-type="bibr">1</xref> During this phase 5 period, we repeated our questionnaires in the three specialties in one hospital. All questionnaires were collected within two weeks, before the announcement of phase 6 by the WHO.</p><sec><title>Statistical analysis</title><p>Descriptive statistics were performed. Using cross tabulations, we analysed univariate associations between intention to accept vaccine and the following variables: sex, age (≤30 <italic>v</italic> >30 years), specialty, job title, years working in health services, work site, weekly number of contacts with patients, whether the respondents had seasonal flu vaccination in 2008-9, how likely they thought they were to get flu if there was a pandemic, and how seriously they thought a pandemic would affect their lives. We tested the statistical significance of the associations using Pearson’s χ<sup>2</sup> test, Fisher’s exact test, or trend tests where appropriate. Trend tests were used to test associations between one binary and one ordinal variable, and for two ordinal variables if a trend was apparent in the data. Multiple logistic regression was used to evaluate independent predictors of intention to accept vaccine. Demographic variables and variables on vaccination history and attitudes were tried in the models. A flexible modelling approach was adopted, and variables were retained in the model if they had P<0.1.</p><p>We compared the results in the second survey with the results from the same hospital in the first survey to assess the effect of escalation in pandemic alert level on the willingness to accept vaccination. Differences in characteristics between the two surveys were evaluated using Fisher’s exact test.</p></sec></sec><sec sec-type="results"><title>Results</title><p>Of the 4006 questionnaires distributed for the first survey, 1866 were completed and returned, giving a response rate of 46.6%. Of the 42 targeted units, 31 (73.8%) participated (including emergency medicine, internal medicine, and paediatrics units), representing 20% of all doctors and nurses working in these units in Hong Kong. Each geographical cluster had participating hospitals, and each hospital had at least one participating department. The number of paediatrics departments participating were significantly less than the other two specialties. Details of the response to the first survey are shown in figure 1<xref ref-type="fig" rid="fig1"></xref>. Nurses accounted for 71.1% of the respondents, and doctors accounted for 19.3%. The distribution of the doctors and nurses was not significantly different from the overall distribution of the human resources in these units. Most (75%) of the respondents were women, because of female dominance in the nursing profession.</p><fig id="fig1" position="float"><caption><p><bold>Fig 1</bold> Response rate to first questionnaire survey of healthcare workers in Hong Kong hospital departments</p></caption><graphic xlink:href="choj695056.f1_default"></graphic></fig><p>Of the 810 questionnaires distributed in the second survey, 389 were completed and returned. The response rate was 48.0%. Details of the second survey are shown in figure 2<xref ref-type="fig" rid="fig2"></xref>. All three invited departments had also participated in the first survey. The age and sex distribution of respondents were similar to those of the respondents in the same hospital in the first survey. Demographics of all respondents in both surveys are shown in table 1<xref ref-type="table" rid="tbl1"></xref>.</p><fig id="fig2" position="float"><caption><p><bold>Fig 2</bold> Response rate to second questionnaire survey of healthcare workers in Hong Kong hospital departments</p></caption><graphic xlink:href="choj695056.f2_default"></graphic></fig><table-wrap id="tbl1" position="float"><label>Table 1</label><caption><p> Characteristics of the respondents. Values are numbers (percentages) of respondents</p></caption><table frame="hsides" rules="groups"><thead><tr><th colspan="1" rowspan="1" align="left" valign="bottom">Characteristic</th><th colspan="1" rowspan="1" align="center" valign="bottom">First survey</th><th colspan="1" rowspan="1" align="center" valign="bottom">Second survey</th></tr></thead><tbody><tr><td colspan="1" rowspan="1" align="left" valign="top">Sex:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Men</td><td colspan="1" rowspan="1" align="center" valign="top">467 (25)</td><td colspan="1" rowspan="1" align="center" valign="top">71 (18.3)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Women</td><td colspan="1" rowspan="1" align="center" valign="top">1399 (75)</td><td colspan="1" rowspan="1" align="center" valign="top">318 (81.8)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Age (years):</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> ≤30</td><td colspan="1" rowspan="1" align="center" valign="top">595 (35.9)</td><td colspan="1" rowspan="1" align="center" valign="top">118 (40.1)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> >30</td><td colspan="1" rowspan="1" align="center" valign="top">1061 (64.1)</td><td colspan="1" rowspan="1" align="center" valign="top">176 (59.9)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Department:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Internal medicine</td><td colspan="1" rowspan="1" align="center" valign="top">1008 (54.1)</td><td colspan="1" rowspan="1" align="center" valign="top">200 (51.2)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Accident and emergency</td><td colspan="1" rowspan="1" align="center" valign="top">227 (12.2)</td><td colspan="1" rowspan="1" align="center" valign="top">23 (5.9)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Paediatrics</td><td colspan="1" rowspan="1" align="center" valign="top">415 (22.3)</td><td colspan="1" rowspan="1" align="center" valign="top">162 (41.3)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Government outpatient clinic</td><td colspan="1" rowspan="1" align="center" valign="top">3 (0.2)</td><td colspan="1" rowspan="1" align="center" valign="top">6 (1.5)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Physiotherapy</td><td colspan="1" rowspan="1" align="center" valign="top">99 (5.3)</td><td colspan="1" rowspan="1" align="center" valign="top">—</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Occupational therapy</td><td colspan="1" rowspan="1" align="center" valign="top">19 (1)</td><td colspan="1" rowspan="1" align="center" valign="top">—</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Non-clinical</td><td colspan="1" rowspan="1" align="center" valign="top">4 (0.2)</td><td colspan="1" rowspan="1" align="center" valign="top">—</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Administration</td><td colspan="1" rowspan="1" align="center" valign="top">3 (0.2)</td><td colspan="1" rowspan="1" align="center" valign="top">—</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Others</td><td colspan="1" rowspan="1" align="center" valign="top">85 (4.6)</td><td colspan="1" rowspan="1" align="center" valign="top">—</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Work site:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Private</td><td colspan="1" rowspan="1" align="center" valign="top">17 (0.9)</td><td colspan="1" rowspan="1" align="center" valign="top">6 (1.5)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Public</td><td colspan="1" rowspan="1" align="center" valign="top">1846 (99.1)</td><td colspan="1" rowspan="1" align="center" valign="top">384 (98.5)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Job title:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Doctor</td><td colspan="1" rowspan="1" align="center" valign="top">361 (19.3)</td><td colspan="1" rowspan="1" align="center" valign="top">47 (12.1)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Allied health</td><td colspan="1" rowspan="1" align="center" valign="top">125 (6.7)</td><td colspan="1" rowspan="1" align="center" valign="top">4 (1.0)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Nurse</td><td colspan="1" rowspan="1" align="center" valign="top">1338 (71.7)</td><td colspan="1" rowspan="1" align="center" valign="top">307 (78.9)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Administration</td><td colspan="1" rowspan="1" align="center" valign="top">15 (0.8)</td><td colspan="1" rowspan="1" align="center" valign="top">6 (1.5)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Other</td><td colspan="1" rowspan="1" align="center" valign="top">28 (1.5)</td><td colspan="1" rowspan="1" align="center" valign="top">25 (6.4)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Years of work in health services:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> ≤5</td><td colspan="1" rowspan="1" align="center" valign="top">416 (22.3)</td><td colspan="1" rowspan="1" align="center" valign="top">82 (21.1)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> 6-10</td><td colspan="1" rowspan="1" align="center" valign="top">404 (21.7)</td><td colspan="1" rowspan="1" align="center" valign="top">94 (24.2)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> 11-20</td><td colspan="1" rowspan="1" align="center" valign="top">714 (38.3)</td><td colspan="1" rowspan="1" align="center" valign="top">152 (39.2)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> >20</td><td colspan="1" rowspan="1" align="center" valign="top">332 (17.8)</td><td colspan="1" rowspan="1" align="center" valign="top">60 (15.5)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">No of patient contacts per week:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> 0</td><td colspan="1" rowspan="1" align="center" valign="top">36 (1.9)</td><td colspan="1" rowspan="1" align="center" valign="top">12 (3.1)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> 1-25</td><td colspan="1" rowspan="1" align="center" valign="top">265 (14.3)</td><td colspan="1" rowspan="1" align="center" valign="top">57 (14.6)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> 26-50</td><td colspan="1" rowspan="1" align="center" valign="top">443 (24)</td><td colspan="1" rowspan="1" align="center" valign="top">95 (24.3)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> >50</td><td colspan="1" rowspan="1" align="center" valign="top">1103 (59.7)</td><td colspan="1" rowspan="1" align="center" valign="top">227 (58.1)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Seasonal flu vaccination in 2008-9:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Yes</td><td colspan="1" rowspan="1" align="center" valign="top">612 (32.9)</td><td colspan="1" rowspan="1" align="center" valign="top">120 (30.7)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> No</td><td colspan="1" rowspan="1" align="center" valign="top">1251 (67.1)</td><td colspan="1" rowspan="1" align="center" valign="top">271 (69.3)</td></tr></tbody></table></table-wrap><p>The overall intention to accept pre-pandemic vaccination (H5N1 vaccine) was only 28.4% for the first survey, which was conducted at WHO influenza pandemic alert phase 3. The level of intention to accept increased to 34.8% in the second survey, when the WHO alert phase was level 5. Responses from three departments in the hospital where both surveys were conducted are shown in table 2<xref ref-type="table" rid="tbl2"></xref>. No significant changes in the level of intention to accept pre-pandemic vaccination (H5N1 vaccine) was observed, despite the escalation to phase 5 because of the wide spread of H1N1 virus (swine flu).</p><table-wrap id="tbl2" position="float"><label>Table 2</label><caption><p> Comparison of the intention to accept vaccination with H5N1 vaccine in one hospital at two different WHO influenza pandemic alert phases</p></caption><table frame="hsides" rules="groups"><thead><tr><th colspan="1" rowspan="2" align="left" valign="bottom">Intention to accept vaccination </th><th colspan="2" rowspan="1" align="center" valign="bottom">No (%) of respondents</th><th colspan="1" rowspan="2" align="center" valign="bottom">Relative risk (95% confidence interval)</th><th colspan="1" rowspan="2" align="center" valign="bottom">P value</th></tr><tr><th colspan="1" rowspan="1" align="center" valign="bottom">First survey (alert phase 3)</th><th colspan="1" rowspan="1" align="center" valign="bottom">Second survey (alert phase 5)</th></tr></thead><tbody><tr><td colspan="1" rowspan="1" align="left" valign="top">Yes</td><td colspan="1" rowspan="1" align="center" valign="top">137 (31.2)</td><td colspan="1" rowspan="1" align="center" valign="top">134 (34.8)</td><td colspan="1" rowspan="2" align="center" valign="middle">1.12 (0.92 to 1.36)</td><td colspan="1" rowspan="2" align="center" valign="middle">0.30</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">No</td><td colspan="1" rowspan="1" align="center" valign="top">302 (68.8)</td><td colspan="1" rowspan="1" align="center" valign="top">251 (65.2)</td></tr></tbody></table></table-wrap><p>The proportion of healthcare workers intending to accept pre-pandemic vaccination (H1N1 vaccine) was 47.9% when the WHO alert level was at phase 5. The respondents who were willing to accept H5N1 vaccines were more likely to accept H1N1 vaccines as well (91%); in contrast only 23.6% of those who declined H5N1 vaccination expressed an intention to accept H1N1 vaccination (P<0.0001).</p><p>The most common reasons for intending to accept vaccination were “wish to be protected” and “following Health Authority’s advice” (fig 3<xref ref-type="fig" rid="fig3"></xref>). The most common reason for refusal was “worry about side effects,” and other reasons included “query on the efficacy of the vaccine,” “not yet the right time to be vaccinated,” and “simply did not want the vaccine” (fig 4<xref ref-type="fig" rid="fig4"></xref>). More than half of the respondents thought that nurses should be the first priority group to receive the vaccines, followed by doctors and allied health professions, and then similar ratings for non-clinical and administrative staff. About half of the respondents (52.2% in the first survey and 56.0% in the second) wanted their family members to receive the vaccines as well. All the above responses remained constant in the different WHO alert phase levels.</p><fig id="fig3" position="float"><caption><p><bold>Fig 3</bold> Reasons of healthcare workers in Hong Kong hospital departments for intention to accept pre-pandemic influenza vaccination</p></caption><graphic xlink:href="choj695056.f3_default"></graphic></fig><fig id="fig4" position="float"><caption><p><bold>Fig 4</bold> Reasons of healthcare workers in Hong Kong hospital departments for intention to decline pre-pandemic influenza vaccination</p></caption><graphic xlink:href="choj695056.f4_default"></graphic></fig><p>Univariate associations between intention to accept H5N1 vaccination and other variables at WHO alert phase 3 are shown in table 3<xref ref-type="table" rid="tbl3"></xref>. Male sex, working in a specialty other than internal medicine, being a doctor, having fewer years of work in the health services, having received seasonal influenza vaccination in 2008-9, and perceptions that they were likely to contract the influenza and that a pandemic would seriously affect their lives were all significantly associated with greater intention to accept vaccination. In multiple logistic regression models for intention to accept vaccination (table 4<xref ref-type="table" rid="tbl4"></xref>), all of these variables remained significant except for specialty, which became marginally significant.</p><table-wrap id="tbl3" position="float"><label>Table 3</label><caption><p> Univariate association of variables affecting the intention to accept pre-pandemic influenza vaccination in the first survey of Hong Kong healthcare workers (phase 3 of WHO influenza pandemic alert). Values are numbers (percentages) of respondents unless stated otherwise</p></caption><table frame="hsides" rules="groups"><thead><tr><th colspan="1" rowspan="2" align="left" valign="bottom">Variable</th><th colspan="1" rowspan="2" align="center" valign="bottom">Total </th><th colspan="3" rowspan="1" align="center" valign="bottom">Intention to accept vaccination</th></tr><tr><th colspan="1" rowspan="1" align="center" valign="bottom">Yes</th><th colspan="1" rowspan="1" align="center" valign="bottom">No </th><th colspan="1" rowspan="1" align="center" valign="bottom">P value of difference*</th></tr></thead><tbody><tr><td colspan="1" rowspan="1" align="left" valign="top">Sex:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Men</td><td colspan="1" rowspan="1" align="center" valign="top">467 (25)</td><td colspan="1" rowspan="1" align="center" valign="top">164 (36)</td><td colspan="1" rowspan="1" align="center" valign="top">291 (64)</td><td colspan="1" rowspan="2" align="center" valign="middle">0.0003</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Women</td><td colspan="1" rowspan="1" align="center" valign="top">1399 (75)</td><td colspan="1" rowspan="1" align="center" valign="top">366 (27.2)</td><td colspan="1" rowspan="1" align="center" valign="top">982 (72.8)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Hospital department:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Medical</td><td colspan="1" rowspan="1" align="center" valign="top">1008 (54.1)</td><td colspan="1" rowspan="1" align="center" valign="top">256 (26.3)</td><td colspan="1" rowspan="1" align="center" valign="top">718 (73.7)</td><td colspan="1" rowspan="9" align="center" valign="middle">0.014</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Accident and emergency</td><td colspan="1" rowspan="1" align="center" valign="top">227 (12.2)</td><td colspan="1" rowspan="1" align="center" valign="top">82 (37.3)</td><td colspan="1" rowspan="1" align="center" valign="top">138 (62.7)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Paediatrics</td><td colspan="1" rowspan="1" align="center" valign="top">415 (22.3)</td><td colspan="1" rowspan="1" align="center" valign="top">125(31.2)</td><td colspan="1" rowspan="1" align="center" valign="top">276(68.8)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> General outpatient clinic</td><td colspan="1" rowspan="1" align="center" valign="top">3 (0.2)</td><td colspan="1" rowspan="1" align="center" valign="top">1 (33.3)</td><td colspan="1" rowspan="1" align="center" valign="top">2 (66.7)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Physiotherapy</td><td colspan="1" rowspan="1" align="center" valign="top">99 (5.3)</td><td colspan="1" rowspan="1" align="center" valign="top">28 (28.9)</td><td colspan="1" rowspan="1" align="center" valign="top">69 (71.1)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Occupational therapy</td><td colspan="1" rowspan="1" align="center" valign="top">19 (1)</td><td colspan="1" rowspan="1" align="center" valign="top">4 (23.5)</td><td colspan="1" rowspan="1" align="center" valign="top">13 (76.5)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Non-clinical</td><td colspan="1" rowspan="1" align="center" valign="top">4 (0.2)</td><td colspan="1" rowspan="1" align="center" valign="top">1 (25)</td><td colspan="1" rowspan="1" align="center" valign="top">3 (75)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Administration</td><td colspan="1" rowspan="1" align="center" valign="top">3 (0.2)</td><td colspan="1" rowspan="1" align="center" valign="top">0 (0)</td><td colspan="1" rowspan="1" align="center" valign="top">3 (100)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Others</td><td colspan="1" rowspan="1" align="center" valign="top">85 (4.6)</td><td colspan="1" rowspan="1" align="center" valign="top">30 (37)</td><td colspan="1" rowspan="1" align="center" valign="top">51 (63)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Work site:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Private</td><td colspan="1" rowspan="1" align="center" valign="top">17 (0.9)</td><td colspan="1" rowspan="1" align="center" valign="top">2 (14.3)</td><td colspan="1" rowspan="1" align="center" valign="top">12 (85.7)</td><td colspan="1" rowspan="2" align="center" valign="middle">0.26</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Public</td><td colspan="1" rowspan="1" align="center" valign="top">1846 (99.1)</td><td colspan="1" rowspan="1" align="center" valign="top">529 (29.6)</td><td colspan="1" rowspan="1" align="center" valign="top">1258 (70.4)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Job title:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Doctor</td><td colspan="1" rowspan="1" align="center" valign="top">361 (19.3)</td><td colspan="1" rowspan="1" align="center" valign="top">166 (47.3)</td><td colspan="1" rowspan="1" align="center" valign="top">185 (52.7)</td><td colspan="1" rowspan="5" align="center" valign="middle"><0.0001</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Allied health</td><td colspan="1" rowspan="1" align="center" valign="top">125 (6.7)</td><td colspan="1" rowspan="1" align="center" valign="top">36 (29.3)</td><td colspan="1" rowspan="1" align="center" valign="top">87 (70.7)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Nurse</td><td colspan="1" rowspan="1" align="center" valign="top">1338 (71.7)</td><td colspan="1" rowspan="1" align="center" valign="top">323 (25)</td><td colspan="1" rowspan="1" align="center" valign="top">969 (75)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Administration</td><td colspan="1" rowspan="1" align="center" valign="top">15 (0.8)</td><td colspan="1" rowspan="1" align="center" valign="top">1 (8.3)</td><td colspan="1" rowspan="1" align="center" valign="top">11 (91.7)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Other</td><td colspan="1" rowspan="1" align="center" valign="top">28 (1.5)</td><td colspan="1" rowspan="1" align="center" valign="top">4 (15.4)</td><td colspan="1" rowspan="1" align="center" valign="top">22 (84.6)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Years of work in health services:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> ≤5</td><td colspan="1" rowspan="1" align="center" valign="top">416 (22.3)</td><td colspan="1" rowspan="1" align="center" valign="top">148 (36.1)</td><td colspan="1" rowspan="1" align="center" valign="top">262 (63.9)</td><td colspan="1" rowspan="4" align="center" valign="middle">0.001</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> 6-10</td><td colspan="1" rowspan="1" align="center" valign="top">404 (21.7)</td><td colspan="1" rowspan="1" align="center" valign="top">113(28.6)</td><td colspan="1" rowspan="1" align="center" valign="top">282 (71.4)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> 11-20</td><td colspan="1" rowspan="1" align="center" valign="top">714 (38.3)</td><td colspan="1" rowspan="1" align="center" valign="top">194 (28.4)</td><td colspan="1" rowspan="1" align="center" valign="top">489 (71.6)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> >20</td><td colspan="1" rowspan="1" align="center" valign="top">332 (17.8)</td><td colspan="1" rowspan="1" align="center" valign="top">76 (24.1)</td><td colspan="1" rowspan="1" align="center" valign="top">239 (75.9)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">No of patient contacts per week:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> 0</td><td colspan="1" rowspan="1" align="center" valign="top">36 (1.9)</td><td colspan="1" rowspan="1" align="center" valign="top">9 (26.5)</td><td colspan="1" rowspan="1" align="center" valign="top">25 (73.5)</td><td colspan="1" rowspan="4" align="center" valign="middle">0.14</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> 1-25</td><td colspan="1" rowspan="1" align="center" valign="top">265 (14.3)</td><td colspan="1" rowspan="1" align="center" valign="top">65 (25.6)</td><td colspan="1" rowspan="1" align="center" valign="top">189 (74.4)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> 26-50</td><td colspan="1" rowspan="1" align="center" valign="top">443 (24)</td><td colspan="1" rowspan="1" align="center" valign="top">125 (29.3)</td><td colspan="1" rowspan="1" align="center" valign="top">301 (70.7)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> >50</td><td colspan="1" rowspan="1" align="center" valign="top">1103 (59.7)</td><td colspan="1" rowspan="1" align="center" valign="top">326 (30.4)</td><td colspan="1" rowspan="1" align="center" valign="top">745 (69.6)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Seasonal influenza vaccination in 2008-9:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Yes</td><td colspan="1" rowspan="1" align="center" valign="top">612 (32.9)</td><td colspan="1" rowspan="1" align="center" valign="top">303 (50.9)</td><td colspan="1" rowspan="1" align="center" valign="top">292 (49.1)</td><td colspan="1" rowspan="2" align="center" valign="middle"><0.0001</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> No</td><td colspan="1" rowspan="1" align="center" valign="top">1251 (67.1)</td><td colspan="1" rowspan="1" align="center" valign="top">228 (18.9)</td><td colspan="1" rowspan="1" align="center" valign="top">979 (81.1)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Perceived risk of contracting pandemic flu:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Very likely</td><td colspan="1" rowspan="1" align="center" valign="top">225 (12.2)</td><td colspan="1" rowspan="1" align="center" valign="top">75 (35)</td><td colspan="1" rowspan="1" align="center" valign="top">139 (65)</td><td colspan="1" rowspan="4" align="center" valign="middle"><0.0001</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Likely</td><td colspan="1" rowspan="1" align="center" valign="top">1115 (60.3)</td><td colspan="1" rowspan="1" align="center" valign="top">357 (32.9)</td><td colspan="1" rowspan="1" align="center" valign="top">727 (67.1)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Unlikely</td><td colspan="1" rowspan="1" align="center" valign="top">470 (25.4)</td><td colspan="1" rowspan="1" align="center" valign="top">90 (19.9)</td><td colspan="1" rowspan="1" align="center" valign="top">362 (80.1)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Very unlikely</td><td colspan="1" rowspan="1" align="center" valign="top">38 (2.1)</td><td colspan="1" rowspan="1" align="center" valign="top">8 (21.1)</td><td colspan="1" rowspan="1" align="center" valign="top">30 (78.9)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Perceived severity of effect of flu to own life:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Very serious</td><td colspan="1" rowspan="1" align="center" valign="top">362 (19.6)</td><td colspan="1" rowspan="1" align="center" valign="top">133 (38.1)</td><td colspan="1" rowspan="1" align="center" valign="top">216 (61.9)</td><td colspan="1" rowspan="4" align="center" valign="middle"><0.0001</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Serious</td><td colspan="1" rowspan="1" align="center" valign="top">980 (53)</td><td colspan="1" rowspan="1" align="center" valign="top">291 (30.8)</td><td colspan="1" rowspan="1" align="center" valign="top">655(69.2)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Little serious</td><td colspan="1" rowspan="1" align="center" valign="top">476 (25.7)</td><td colspan="1" rowspan="1" align="center" valign="top">101 (21.9)</td><td colspan="1" rowspan="1" align="center" valign="top">360 (78.1)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Not serious</td><td colspan="1" rowspan="1" align="center" valign="top">32 (1.7)</td><td colspan="1" rowspan="1" align="center" valign="top">5 (15.6)</td><td colspan="1" rowspan="1" align="center" valign="top">27 (84.4)</td></tr></tbody></table><table-wrap-foot><p>*χ<sup>2</sup> test.</p></table-wrap-foot></table-wrap><table-wrap id="tbl4" position="float"><label>Table 4</label><caption><p> Multiple logistic regression model for intention to accept pre-pandemic influenza vaccination (H5N1 vaccine) in the first and second surveys of Hong Kong healthcare workers (at phases 3 and 5 of WHO influenza pandemic alert)</p></caption><table frame="hsides" rules="groups"><thead><tr><th colspan="1" rowspan="2" align="left" valign="bottom">Variable</th><th colspan="2" rowspan="1" align="center" valign="bottom">Phase 3</th><th colspan="1" rowspan="2" align="center" valign="bottom"></th><th colspan="2" rowspan="1" align="center" valign="bottom">Phase 5</th></tr><tr><th colspan="1" rowspan="1" align="center" valign="bottom">Adjusted odds ratio (95% CI)</th><th colspan="1" rowspan="1" align="center" valign="bottom">P value</th><th colspan="1" rowspan="1" align="center" valign="bottom">Adjusted odds ratio (95% CI)</th><th colspan="1" rowspan="1" align="center" valign="bottom">P value</th></tr></thead><tbody><tr><td colspan="1" rowspan="1" align="left" valign="top">Age (years):</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> ≥30*</td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="2" align="center" valign="middle">0.17</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="2" align="center" valign="middle">0.053</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> <30</td><td colspan="1" rowspan="1" align="center" valign="top">0.76 (0.52 to1.11)</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top">1.72 (0.99 to 3.03)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Job title:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Doctor*</td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="3" align="center" valign="middle"><0.0001</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="3" align="center" valign="middle">0.81</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Nurse</td><td colspan="1" rowspan="1" align="center" valign="top">0.51 (0.38 to 0.68)</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top">0.76 (0.33 to 1.74)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Other</td><td colspan="1" rowspan="1" align="center" valign="top">0.13 (0.03 to 0.59)</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top">0.80 (0.22 to 2.91)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Department:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Internal medicine*</td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="3" align="center" valign="middle">0.056</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="3" align="center" valign="middle">0.090</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Paediatrics</td><td colspan="1" rowspan="1" align="center" valign="top">1.34 (0.98 to 1.83)</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top">0.61 (0.33 to 1.12)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Emergency medicine</td><td colspan="1" rowspan="1" align="center" valign="top">1.69 (1.16 to 2.46)</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top">1.80 (0.61 to 5.33)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">No of patient contacts per week:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> ≤25*</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="3" align="center" valign="middle"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="3" align="center" valign="middle">0.079</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> 26-50</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top">1.56 (0.62 to 3.93)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> >50</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top">2.40 (1.07 to 5.40)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Years of work in health services:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> ≤5*</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> 6-10 </td><td colspan="1" rowspan="1" align="center" valign="top">0.78 (0.53 to 1.16)</td><td colspan="1" rowspan="3" align="center" valign="middle">0.012</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="3" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> 11-20 </td><td colspan="1" rowspan="1" align="center" valign="top">0.56 (0.36 to 0.88)</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> >20 </td><td colspan="1" rowspan="1" align="center" valign="top">0.42 (0.25 to 0.73)</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Seasonal influenza vaccination in 2008-9:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> No*</td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="2" align="center" valign="middle"><0.0001</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="2" align="center" valign="middle"><0.0001</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Yes</td><td colspan="1" rowspan="1" align="center" valign="top">4.00 (3.13 to 5.12)</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top">7.43 (4.20 to 13.16)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Perceived risk in contracting pandemic flu:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Very unlikely/unlikely*</td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="3" align="center" valign="middle">0.012</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="3" align="center" valign="middle">0.16</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Likely</td><td colspan="1" rowspan="1" align="center" valign="top">1.40 (0.52 to 3.78)</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top">2.15 (0.95 to 4.89)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Very likely</td><td colspan="1" rowspan="1" align="center" valign="top">1.20 (0.43 to 3.40)</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top">1.26 (0.63 to 2.52)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Perceived severity of effect of flu to own life:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Not serious*</td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="4" align="center" valign="middle">0.015</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="4" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Little serious</td><td colspan="1" rowspan="1" align="center" valign="top">0.93 (0.32 to 2.72)</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Serious</td><td colspan="1" rowspan="1" align="center" valign="top">1.33 (0.46 to 3.79)</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Very serious</td><td colspan="1" rowspan="1" align="center" valign="top">1.70 (0.58 to 4.94)</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td></tr></tbody></table><table-wrap-foot><p>*Reference variable.</p></table-wrap-foot></table-wrap><p>At WHO alert phase 5, only having received seasonal influenza vaccination in 2008-9 and younger age were found as significant associated factors for intention to accept H5N1 vaccination in multiple logistic regression (table 4<xref ref-type="table" rid="tbl4"></xref>).</p><p>For H1N1 vaccination, the factors showing a significant association with intention to accept at WHO alert phase 5 after adjustment by multiple logistic regression included younger age; having received seasonal influenza vaccination in 2008-9, and the perception that they were more likely to contract the pandemic influenza. The results are shown in table 5<xref ref-type="table" rid="tbl5"></xref>.</p><table-wrap id="tbl5" position="float"><label>Table 5</label><caption><p> Multiple logistic regression model for intention to accept pandemic influenza vaccination (H1N1 vaccine) in the second survey of Hong Kong healthcare workers (at phase 5 of WHO influenza pandemic alert) </p></caption><table frame="hsides" rules="groups"><thead><tr><th colspan="1" rowspan="1" align="left" valign="bottom">Variables</th><th colspan="1" rowspan="1" align="center" valign="bottom">Adjusted odds ratio (95% CI)</th><th colspan="1" rowspan="1" align="center" valign="bottom">P value</th></tr></thead><tbody><tr><td colspan="1" rowspan="1" align="left" valign="top">Age (years):</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="top"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> ≥30*</td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="2" align="center" valign="middle">0.034</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> <30</td><td colspan="1" rowspan="1" align="center" valign="top">2.44 (1.08 to 5.56)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Job title:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Doctor*</td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="3" align="center" valign="middle">0.084</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Nurse</td><td colspan="1" rowspan="1" align="center" valign="top">0.54 (0.23 to 1.23)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Other</td><td colspan="1" rowspan="1" align="center" valign="top">1.51 (0.40 to 5.63)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">No of patient contacts per week:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> ≤25*</td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="3" align="center" valign="middle">0.53</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> 26-50</td><td colspan="1" rowspan="1" align="center" valign="top">1.64 (0.70 to 3.82)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> >50</td><td colspan="1" rowspan="1" align="center" valign="top">1.35 (0.64 to 2.88)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Years of work in health services:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> ≤5*</td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="4" align="center" valign="middle">0.35</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> 6-10</td><td colspan="1" rowspan="1" align="center" valign="top">0.69 (0.29 to 1.63)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> 11-20</td><td colspan="1" rowspan="1" align="center" valign="top">0.98 (0.35 to 2.73)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> >20 </td><td colspan="1" rowspan="1" align="center" valign="top">0.52 (0.16 to 1.68)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Seasonal influenza vaccination in 2008-9:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> No*</td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="2" align="center" valign="middle"><0.0001</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Yes</td><td colspan="1" rowspan="1" align="center" valign="top">4.40 (2.42 to 8.00)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Perceived risk in contracting pandemic flu:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Very unlikely/unlikely*</td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="3" align="center" valign="middle">0.005</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Likely</td><td colspan="1" rowspan="1" align="center" valign="top">4.36 (1.76 to10.80)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Very likely</td><td colspan="1" rowspan="1" align="center" valign="top">2.21 (1.12 to 4.34)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top">Perceived severity of effect of flu to own life:</td><td colspan="1" rowspan="1" align="center" valign="top"></td><td colspan="1" rowspan="1" align="center" valign="middle"></td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Not serious/little serious*</td><td colspan="1" rowspan="1" align="center" valign="top">1</td><td colspan="1" rowspan="3" align="center" valign="middle">0.14</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Serious</td><td colspan="1" rowspan="1" align="center" valign="top">1.02 (0.41 to 2.51)</td></tr><tr><td colspan="1" rowspan="1" align="left" valign="top"> Very serious</td><td colspan="1" rowspan="1" align="center" valign="top">1.73 (0.98 to 3.08)</td></tr></tbody></table><table-wrap-foot><p>*Reference variable.</p></table-wrap-foot></table-wrap></sec><sec sec-type="discussion"><title>Discussion</title><p>The surveys conducted at WHO pandemic alert phases 3 and 5 found a consistently low level of willingness to accept pre-pandemic influenza vaccination among hospital based healthcare workers, especially in those working in the allied health professions. This is particularly surprising in a city where the SARS outbreak had such a huge impact. The intention to accept vaccination against H1N1 influenza (swine flu) in our study was less than 50% even at WHO alert phase 5. On 21 May 2009, the WHO stated that 41 countries had officially reported 11 034 cases of swine flu, including 85 deaths.<xref rid="ref17" ref-type="bibr">17</xref> This was the time when our survey was conducted. It was surprising that neither this information nor the escalated WHO alert phase affected the intention to accept pre-pandemic vaccination. Vaccination is one of the potentially effective measures that can reduce mortality and morbidity from pandemic influenza. On 13 July 2009, the WHO also recommended that all countries should immunise their healthcare workers as a first priority to protect the essential health infrastructure.<xref rid="ref18" ref-type="bibr">18</xref> However, the effectiveness of this measure depends heavily on the uptake rate in those groups assigned high priority. Therefore, the low potential acceptance of this vaccine warrants our attention, with a view to improving acceptance.</p><sec><title>Health belief model</title><p>The factors with the strongest association with intention to accept pre-pandemic or pandemic vaccine were history of seasonal influenza vaccination and perceived risk of contracting the infection. The strong association between acceptance of seasonal and pre-pandemic vaccination also suggests similar barriers exist for both vaccines. Efforts to improve the uptake of seasonal influenza vaccination by healthcare workers should therefore be a part of the pandemic preparedness plan, as disseminating correct information may be more difficult at time of crisis, and the health belief model could be applied to improve the acceptance of pre-pandemic vaccine as in seasonal influenza vaccination.<xref rid="ref19" ref-type="bibr">19</xref></p><p>The major barriers to vaccination we identified were fear of side effects and questions about its efficacy. This suggests that public and hospital health agencies need to provide more information to staff, especially to those with higher levels of anxiety and doubt.</p><p>In our study younger staff and staff whose working experience was less than five years were more willing to accept vaccination. This again implies that the experience of the SARS outbreak did not enhance the willingness to accept the vaccination.</p></sec><sec><title>Comparison with another study</title><p>The willingness of Hong Kong healthcare workers to be vaccinated against H5N1 virus is very low when compared with the study done in a UK NHS trust, where more than half of the staff were willing to accept pre-pandemic vaccination when surveyed at a similar WHO alert level (phase 3).<xref rid="ref16" ref-type="bibr">16</xref> The uptake rates for seasonal influenza vaccine were higher among our participants than in the UK study (32.9% for Hong Kong and 15.6% for UK healthcare workers), whereas the proportion willing to be vaccinated against H5N1 influenza in the UK study (57.7%) was double that in our survey (28.4%). Whether this higher willingness to accept was only temporary as a result of the well publicised H5N1 outbreak at a poultry farm in the UK when the survey was started remains to be explored.</p></sec><sec><title>Seasonal influenza vaccine uptake</title><p>The uptake rate for seasonal influenza vaccine in Hong Kong varies among the target groups. A previous study on patients attending a general outpatient clinic, of whom half had chronic illnesses, found a vaccination rate of 27%, but without correlation with sex, occupation, or household income.<xref rid="ref20" ref-type="bibr">20</xref> The uptake rate among elderly people aged >65 years living in the community was also low (26.9-36.4%).<xref rid="ref21" ref-type="bibr">21</xref> In contrast, more than 90% of elderly people living in institutions received influenza vaccine, which was delivered on site.<xref rid="ref22" ref-type="bibr">22</xref> The overall vaccination rate for elderly people in Hong Kong could be within the range reported from surveys in the UK, Italy, France, Germany, and Spain conducted from 2003 to 2007 (41.3-78.1%).<xref rid="ref23" ref-type="bibr">23</xref> As for healthcare workers, both Hong Kong and European countries face a low uptake rate. The 32.9% vaccination recorded in the current study is close to the ranges reported for the UK (15.9-25.2%), Italy (13.3-23.2%), Spain (20.5-28.9%), Germany (22.0-27.5%), and France (15.8-22.2%).<xref rid="ref23" ref-type="bibr">23</xref></p><p>The Department of Health in Hong Kong provides a comprehensive immunisation programme from birth to 12 years old. There seems to be no major generic barrier to vaccination in Hong Kong, as the uptake for childhood immunisation programmes is high (84.7-99.6%),<xref rid="ref24" ref-type="bibr">24</xref> and a recent survey indicates a high level of willingness (88%) to accept human papillomavirus vaccine,<xref rid="ref25" ref-type="bibr">25</xref> similar to that recorded in the UK (89%).<xref rid="ref26" ref-type="bibr">26</xref></p><p>While cultural differences could affect the acceptance of vaccines in general, we believe there are common barriers to influenza vaccination that exist across geographical regions and racial groups.<xref rid="ref27" ref-type="bibr">27</xref> The findings of this study can therefore serve as a reference for other countries that are planning to offer the H1N1 vaccine to their healthcare workers.</p></sec><sec><title>Strengths and weaknesses of this study</title><p>To our knowledge, this is the largest study conducted to assess the willingness of healthcare workers to accept pre-pandemic influenza vaccination, and it provides important information on barriers to vaccination. Campaigns to promote vaccination should consider addressing the knowledge gap of staff and the specific target groups for intervention. Our study also captured the effects of change in WHO alert level on people’s perception and willingness to accept vaccination. </p><p>The main limitation of this study is the response rate of below 50%. The low response rate may have resulted in a biased sample. Another caveat is the lack of details for the non-responders. Nevertheless, the characteristics of the participants matched the overall staff profile, and the participating specialty departments represented over 70% of our target population. An additional limitation is that the study only documented what people said they would do and thus may not reflect the actual vaccine uptake rates. A follow-up study will be needed to capture the true uptake rates and factors associated with vaccine uptake when it is available. Further qualitative studies such as focus group discussion or semi-structured interviews could help to consolidate and supplement the findings.</p></sec><sec><title>Conclusions and policy implications</title><p>We believe this information can assist governments to design their pandemic vaccination plan for healthcare workers, taking into account their opinions on these contentious issues. A successful vaccination strategy does not just protect the health of healthcare workers but also can limit the transmission between the health sector and the community, a lesson from the SARS outbreak. Qualitative studies are being conducted by our group to explore barriers faced by healthcare workers in the uptake of vaccination. With the reported low level of willingness to accept pre-pandemic vaccination in this study, future work on intervention to increase vaccination uptake is warranted.</p><boxed-text position="float" content-type="style3"><sec><title>What is already known on this topic</title><list list-type="simple"><list-item><p>The WHO recommended that healthcare workers in all countries should get top priority for vaccination against the influenza A H1N1 virus of swine origin</p></list-item><list-item><p>The acceptance of seasonal influenza vaccination in healthcare workers worldwide is low. One study conducted at WHO alert phase 3 showed 57.7% of UK healthcare workers would accept the pre-pandemic H5N1 vaccine</p></list-item></list></sec><sec><title>What this study adds</title><list list-type="simple"><list-item><p>The willingness to accept vaccination against both influenza A subtypes H5N1 and H1N1 among hospital based healthcare workers in Hong Kong was low</p></list-item><list-item><p>Neither the change in WHO pandemic alert levels nor the experience of the SARS outbreak affected the potential acceptance of the vaccines</p></list-item><list-item><p>Barriers identified include fear of side effects and doubts about the efficacy of the vaccines</p></list-item><list-item><p>The strongest associations with the intention to accept vaccination were a history of seasonal influenza vaccination and perceived likelihood of being infected</p></list-item></list></sec></boxed-text></sec></sec></body><back><notes><fn-group><fn><p>We thank Dr Ian Stepheson for his invaluable advice and experience in constructing the questionnaires and generous support from the chiefs of service in the participating departments. We also thank Ms Kate TC Ng for organising the questionnaire administration.</p></fn><fn fn-type="participating-researchers"><p>Contributors: JSY Chor and PKS Chan designed the study, interpreted the findings, and wrote the manuscript; KLK Ngai collated the survey data; WB Goggins and SYS Wong performed statistical analyses; MCS Wong, N Lee, TF Leung, TH Rainer administered the survey; S Griffiths supervised the study. 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