Hostname: page-component-586b7cd67f-t7fkt Total loading time: 0 Render date: 2024-11-26T19:57:12.777Z Has data issue: false hasContentIssue false

Prevalence of seasonal influenza vaccination and associated factors in people with chronic diseases in Hong Kong

Published online by Cambridge University Press:  30 April 2012

H. Y. TSUI
Affiliation:
Centre for Health Behaviours Research, School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR
J. T. F. LAU*
Affiliation:
Centre for Health Behaviours Research, School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR Centre for Medical Anthropology and Behavioral Health, School of Sociology and Anthropology, Sun Yat-sen University, China
C. LIN
Affiliation:
Centre for Health Behaviours Research, School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR
K. C. CHOI
Affiliation:
Centre for Health Behaviours Research, School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR
*
*Author for correspondence: Professor J. T. F. Lau, Associate Director, School of Public Health and Primary Care; Director, Centre for Health Behaviours Research, School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, 5/F., School of Public Health and Primary Care, Prince of Wales Hospital, Shatin, NT, Hong Kong. (Email: [email protected])
Rights & Permissions [Opens in a new window]

Summary

Chronic disease patients are at high risk of developing serious influenza-related complications. This study investigated the prevalence of seasonal influenza vaccination (IV) and associated factors in such patients. A random sample of 704 Chinese adults with chronic disease was anonymously interviewed by telephone; 35·8% of them had ever taken up IV and 22·7% did so during the last flu season. The most frequently mentioned facilitator was recommendation made by a healthcare worker (HCW). Knowledge that IV is required annually, perceived severe health impacts of influenza, and recommendation made by a HCW were positively associated with previous IV and intention to take up IV in the next year, while perceived side-effects was inversely associated with previous IV and intention to take up IV. The coverage of IV in this study population was low. HCWs should clarify IV-related health beliefs in chronic disease patients and actively advise them to take up IV.

Type
Original Papers
Copyright
Copyright © Cambridge University Press 2012

INTRODUCTION

It is known that chronic disease conditions are associated with serious influenza-related complications, including elevated mortality [1, Reference Schanzer, Langley and Tam2]. A previous study has shown that 47% and 23%, respectively, of deaths related to influenza were attributable to heart and lung diseases [Reference Sprenger3]. Chronic obstructive pulmonary disease (COPD), asthma and neurological diseases are also associated with deaths related to influenza [Reference Ahmed, Nicholson and Nguyen-Van-Tam4]. Influenza vaccination (IV) is the most effective public health measure in reducing influenza-related morbidity and mortality. The World Health Organization further recommends that governments increase the coverage of IV in various high-risk groups, including people living with chronic diseases [5, Reference Mereckiene6]. Among such patients, IV reduces the number of medical consultations, exacerbation of current medical conditions, comorbidity, hospitalization, and death [Reference Hak7].

Despite ample evidences, the prevalence of IV in people living with chronic diseases has been low – ranging from 11·1% in Poland to 56·0% in the UK [Reference Keenan, Campbell and Evans8Reference Blank, Schwenkglenks and Szucs10]. In some countries, the prevalence was lower than that in the elderly [Reference Blank, Schwenkglenks and Szucs10]. In a survey conducted in primary-care clinics in Turkey, only 27·3% of COPD patients, 21·3% of chronic cardiopulmonary disease patients, 18·0% of asthma patients, and 13·4% of diabetic patients had ever taken up IV [Reference Oncel11]. Although the Hong Kong government recommends that people living with chronic diseases should take up IV annually [12], free IV is not available to such patients unless they are aged ⩾65 years [13].

Although many studies have investigated factors associated with IV in high-risk groups such as the elderly and children [Reference Evans and Watson14Reference Xakellis17], relatively few studies have targeted adult chronic disease patients [Reference Rodríguez-Rieiro18, Reference Dower19], and far fewer have been conducted in Chinese populations. Our literature search only found one study reporting prevalence of IV in Chinese patients with chronic diseases; however, that study was conducted at outpatient clinics and included other populations [Reference Mok, Yeung and Chan20]. An information gap exists.

The Health Belief Model (HBM) specifies that cognitive factors on perceived susceptibility, perceived severity, perceived benefits (e.g. efficacy in preventing influenza), perceived barriers (e.g. cost of IV), cues to action [e.g. recommendation made by healthcare workers (HCWs)] and self-efficacy (confidence to take up IV if desired) are determinants of health-related behaviours [Reference Rosenstock21, Reference Janz, Champion, Strecher, Glanz, Rimer and Lewis22]. Such factors have been used to investigate IV in various populations [Reference Lau15, Reference Mok, Yeung and Chan20, Reference Flood23, Reference Hubble, Zontek and Richards24]. The model is one of the most commonly used behavioural health models that has been applied to explain behaviours relating to IV [Reference Green25] and screening behaviours [Reference Hyman26, Reference Sung27]. It has also been used to guide design of health promotion campaigns [Reference Painter28].

We investigated the prevalence of taking up seasonal IV and identified socio-demographic and cognitive factors associated with IV in Hong Kong Chinese people living with chronic diseases. Cognitive factors such as perceived severity and susceptibility related to influenza, and perceived benefits and barriers for taking up IV were derived from the HBM. The last episode of IV was also described in detail.

METHODS

Study design and setting

The study population comprised Hong Kong Chinese adults aged 18–64 years, who self-reported suffering from at least one of the following chronic diseases: hypertension, diabetes, heart disease, renal disease, liver disease, chronic respiratory disease, cancer, and others. An anonymous cross-sectional telephone survey was conducted during April and May 2006. Random telephone numbers were selected from up-to-date telephone directories. Telephone surveys have commonly been used to investigate prevalence and associated factors relating to IV, both internationally and locally [Reference Evans and Watson14Reference Moran16, Reference Blank29]. Telephone interviews were administered by trained interviewers from 18:30 to 22:00 hours to avoid over-sampling of unemployed persons. At least three more independent calls were made on different days and times before a particular telephone number was considered invalid.

Interviewers first briefed the individual answering the phone about the purpose and background of the study. A few screening questions were used to see whether the household had had at least one eligible prospective participant. The eligible household member whose birthday was closest to the date of the interview was invited to join the study. The interviewer then re-confirmed the eligibility of the selected individual. Verbal informed consent was obtained from the participants before the survey commenced. The questionnaire took about 15–20 minutes to complete. Ethical approval was obtained from the ethics committee of the Chinese University of Hong Kong. A total of 856 eligible participants were identified, of whom 704 (82·2%) completed the interview.

Measures

Participants' socio-demographic data were collected. Participants were asked whether they had ever heard of seasonal IV, whether they had taken up seasonal IV (lifetime and during the last flu season) and if they intended to take up seasonal IV in the coming year. We also asked about the timing, location, reason(s) and side-effects related to the last episode of IV. Reason(s) for not taking up IV during the last flu season was/were recorded.

Those who had heard of IV answered four questions on IV-related knowledge and five questions on IV-related perceptions, including those related to perceived benefit (efficacy of IV), perceived barrier (side-effects of IV), perceived susceptibility and perceived severity with respect to influenza (comparing his/her situation with those of other fellow chronic disease patients). These cognitive factors were derived from the HBM (the items are listed in Table 2). Facilitators of seasonal IV were also mentioned.

Statistical analysis

Univariate odds ratios (OR) and respective 95% confidence intervals (CI) were used to investigate the strength of associations between various factors and the three dependent variables (i.e. having ever taken up seasonal IV, having taken up IV during the last flu season and intention to take up IV in the coming year). Those variables that were significant in the univariate analysis were then used as candidates for fitting multivariate stepwise logistic regression models, in order to identify significant factors that were independently associated with the three dependent variables. We included participants who had not heard of IV in calculating the prevalence of IV, but we excluded such cases when we analysed factors associated with the three aforementioned dependent variables related to IV. Statistical analyses were performed using SPSS for Windows version 14.0 (SPSS Inc., USA) and a P value of <0·05 was taken as statistically significant.

RESULTS

Background characteristics

About two-thirds (66·5%) of the participants were female. Their age distribution was <40 (10·8%), 40–49 (21·5%) and ⩾50 (67·8%) years, and their education levels were primary school or below (37·1%), secondary school (47·4%) and post-secondary education (15·4%). The majority (83·5%) of the 704 participants were currently married, were not HCWs (97·4%) and had no contact with live poultry at work (97·3%); 6·3% of them were on the Comprehensive Social Security Assistance (CSSA) scheme.

Prevalence of taking up seasonal IV behaviours and intention to take up IV

Almost all participants (95·5%) had heard of IV, while 35·8% had ever taken up IV (29·8% of them did so >1 year ago); and 22·7% took up IV during the last flu season (Table 1). Of those who had heard of IV (n = 672), 32·9% intended to take up IV in the coming year.

Table 1. Behaviours and intention related to influenza vaccination (IV)

* All study participants (n = 704).

Those who had ever taken up IV (n = 252).

Those who had heard of IV (n = 672).

Knowledge and perceptions related to seasonal IV

About 20% had been recommended by a HCW to take up IV, while 32·4% knew that the Hong Kong government recommended people living with chronic diseases to take up IV. The majority (84·7%) of participants were not willing to pay more than HK$150 (US$19·2) for IV (Table 1).

The percentages of participants who had heard of IV providing correct responses to IV-related knowledge items were: IV could reduce the risk of influenza-induced complications such as pneumonia (42·6%), IV could reduce the risk of hospitalization due to influenza (52·5%), IV could reduce the risk of death due to influenza (46·9%), and it is necessary to take up IV annually (43·2%). The percentages of participants who had heard of IV and having specific perceptions on IV were: IV carries no side-effects (36·0%), IV is efficacious for influenza prevention (57·4%), chronic disease patients have a higher or much higher chance of contracting influenza compared to the general population (30·2%), influenza would cause more severe consequences for chronic disease patients compared to the general population (31·4%), and there is a severe to very severe health impact if contracting influenza (32·6%). Commonly mentioned facilitators of IV included: recommendation made by a HCW (70·7%), local reporting of a new human avian flu case (52·1%), suggestion given by a family member (50·3%), and short distance between residence and the site for taking up IV (49·0%) (Table 2).

Table 2. Knowledge and perceptions related to influenza and influenza vaccination (IV) (among those who had heard of IV, n = 672)

The last episode of seasonal IV

Of those who reported having taken up IV during the last flu season (n = 160), 63·8% did so at a private clinic, 15·6% did so at a governmental clinic and 9·4% did so at a community centre. Only eight (5%) participants self-reported that IV had caused some side-effects. The most commonly mentioned reasons for taking up IV included: ‘influenza prevention’ (31·3%), ‘worried about contracting influenza’ (18·8%), and ‘being recommended by a HCW’ (12·5%). Commonly given reasons for not taking up IV included: ‘lack of necessity’ (42·1%), ‘good health’ (13·9%), and ‘no recommendation made by a HCW’ (7·4%) (Table 3).

Table 3. Details of the last episode of influenza vaccination (IV) (among those whose last IV episode was received during the last flu season, n = 160)

* The prevalence of experiencing mild pain, fever, and fatigue were 25%, 25%, and 50%, respectively. No other side-effects were reported.

Among those who had not yet received IV/not received IV during the last flu season (n = 511).

Factors associated with having taken up seasonal IV

Having ever taken up IV in the lifetime

An education level of university or above (OR 2·03), being a HCW (OR 4·11), knowledge that IV is required annually (OR 3·83), perceived severe/very severe health impacts or perceived uncertainty about health impacts of influenza (OR 3·72 and 4·35, respectively), uncertainty about the consequences of influenza for chronic disease patients compared to the general population (OR 3·45), willingness to pay for IV [OR 2·05 (HK$1–150) and 2·26 (>HK$150)], and recommendation made by a HCW to take up IV (OR 5·23) were associated with having ever taken up IV, whereas perceived side-effects of IV (OR 0·31), uncertainty about side-effects of IV (OR 0·14), and uncertainty about the efficacy of IV (OR 0·46) were associated with a lower likelihood of doing so (Table 4).

Table 4. Predictors of influenza vaccination (IV) behaviours (among those who had heard of IV, n = 672)

CSSA, Comprehensive Social Security Assistance ORu, Univariate odds ratio; ORm, multivariate odds ratio obtained from stepwise logistic regression using univariately significant variables as candidates; n.s., not significant; –, univariately not significant.

Valid percentages were reported (i.e. missing values were not included in the denominator) and the frequencies therefore may not sum up to the total.

* P < 0·05, **P < 0·01.

Taken up IV during the last flu season

Being a HCW (OR 4·34), knowledge that IV is required annually (OR 4·04), perceived severe/very severe health impacts of influenza (OR 2·82), and recommendation made by a HCW to take up IV (OR 3·25) were associated with having taken up IV during the last flu season, while perceived side-effects of IV (OR 0·35) and uncertainty about side-effects (OR 0·23) were associated with a lower likelihood of doing so during the last flu season (Table 4).

Intention to take up seasonal IV in the coming year

Older age (OR 2·28–4·53), knowledge on the benefits of IV in reducing the risks of influenza-induced complications, hospitalization and death (OR 1·70), knowledge that IV is required annually (OR 6·68), perceived severe/very severe health impacts of influenza (OR 2·34), willingness to pay for IV [OR 2·53 (HK$1–150) and 2·05 (>HK$150)], and recommendation made by a HCW to take up IV (OR 2·85) were associated with intention to take up IV in the coming year, while perceived side-effects (OR 0·42) and uncertainty about side-effects (OR 0·31) were associated with lower likelihoods of doing so in the coming year (Table 4).

DISCUSSION

Despite the recommendations given by the local government and international health authorities [5, 12], only about one-third of the participants had ever taken up seasonal IV and less than one-fourth did so during the last flu season. The IV coverage was hence lower than that (40–80%) reported in some European countries [Reference Blank, Schwenkglenks and Szucs10] and was also lower than that of the Hong Kong elderly population (about 48%) [Reference Lau15]. A large proportion of the chronic disease patients in Hong Kong had therefore failed to take up this measure to prevent contracting influenza or to minimize the occurrence of severe related complications that are potentially related to influenza. Good implementation is as important as a sound recommendation.

Although most of the study population had heard of IV, it remains necessary to enhance IV-related knowledge as only about half of the participants perceived that IV could reduce risks of influenza-induced complications, hospitalization and death. Furthermore, only about 40% of the participants understood the need to take up IV annually and this variable was significantly associated with IV and intention to take up IV.

We found significant associations between HCWs' recommendation and IV-related behaviour and intention. Furthermore, ‘recommendation made by a HCW’ was commonly mentioned as a facilitator of IV. The findings corroborate with the results reported in a number of previous studies conducted among healthy adults [Reference Ahmed, Singleton and Franks30, Reference Szucs and Muller31]. However, about three-quarters of the participants had not received such an advice from their HCW. HCWs working in both private and public sectors should disseminate IV-related information to chronic disease patients.

However, studies conducted both in Europe and in Hong Kong have shown that HCWs had low prevalence of IV and low intention to take up IV during the H1N1 pandemic, due to perceived uncertainty about the safety and efficacy of the new vaccine [Reference Chor32, Reference Rubin, Potts and Michie33]. Recommendations made by HCWs are clearly important cues for action, according to the HBM. Therefore, future social marketing promoting IV among chronic disease patients should target both HCWs and patients, to update them about evidences on improved safety and efficacy of the influenza vaccine. In such campaigns, the HCWs' key role in improving coverage of IV in chronic disease patients and the importance of IV to patients should be emphasized.

It is important to point out that the majority (>80%) of participants were unwilling to pay more than HK$150 for the vaccine, even after they had been told about its efficacy in reducing risks of influenza or influenza-related complications, hospitalization and death. A previous study came to a similar conclusion that the need to pay for vaccine was a strong deterrent for vaccination in the elderly and other at-risk populations [Reference Kramarz, Ciancio and Nicoll34]. Other evidence has shown that reimbursement increases IV coverage in some general European populations [Reference Blank29]. Given the significance of IV, financial subsidy should be considered by the government to encourage chronic disease patients to take up IV.

Some constructs of the HBM, such as perceived side-effects of IV (barrier) and perceived benefits of IV in reducing the risks of influenza-induced complications (benefit), were significantly associated with IV and the intention to take up IV in the coming year. The model has been used widely to explain health-related behaviours [Reference Rosenstock21, Reference Janz, Champion, Strecher, Glanz, Rimer and Lewis22] and can be used to design effective intervention programmes [Reference Painter28]. It is potentially useful for our study population. We also discovered that perceived IV-related side-effects was a concern against taking up IV. However, only a few participants (about 5%) of those taking up IV had actually experienced relatively minor side-effects such as fatigue, fever and mild pain. Factual information about the prevalence and nature of side-effects should be disseminated to chronic disease patients, thereby encouraging them to make a more rational and evidence-based decision on IV.

There is a paucity of studies investigating IV in chronic disease patients in other Chinese populations; therefore no comparisons can be made. As the prevalence of IV is low in non-Chinese populations in Western countries and in the Chinese population in Hong Kong, we believe that it would also be low in mainland China and in other Chinese populations. We contend that some similar significant cognitive factors that are found in other Chinese populations (e.g. those of the HBM) are significantly associated with IV in different populations in different countries. However, future studies including contextual factors are warranted to confirm these contentions.

Importantly, this study used variables mainly derived from the HBM model. Although this and other studies have shown that the model can be used to explain behaviours related to IV very well, other factors are equally important. Examples of these factors include misconceptions about modes of transmission of the viruses, emotional responses (e.g. fear and disturbance), experience during SARS and H1N1, perceived likelihood of outbreak of emerging respiratory diseases such as H5N1, and perceptions and trust on governmental policies [Reference Lau35Reference Rubin, Potts and Michie38]. As this study was conducted prior to the H1N1 pandemic, most of these factors have not been considered in the study. The data, therefore, can be considered as reflecting the pre-pandemic situation and serve as a baseline for future comparisons.

The study has several limitations. Although the majority of the households in Hong Kong have a residential phone [Reference Ng, Tsui and Chan39], a minor proportion of the households without one were unable to join the study. Moreover, as the demographic information of this study population is different from that of general population, we cannot compare such characteristics of this population and the census population to assess representativeness. However, we believe that the sample is a representative one as it is based on a random population-based survey. The design has been used in many local published studies, including those investigating prevalence of various chronic illnesses [Reference Ng, Tsui and Chan39, Reference Lee, Ling and Tsang40]. Furthermore, this study used a cross-sectional design; associations rather than causal relationships were described. Further, self-reported IV history was not validated against medical records and may be subject to recall bias. Last, we checked whether prospective participants were suffering from at least one of the listed types of chronic diseases but did not record the frequency of the individual disease categories.

The study has important public health implications. It is not sufficient to rely on governmental recommendation – HCWs should develop multiple strategies to promote IV in people living with chronic diseases. Social marketing campaigns should be launched. Such campaigns need to target various types of stakeholders such as healthcare professionals working in both the public and private sectors, changing their own views on IV and requesting HCWs to serve as role models for their patients. The campaigns targeting chronic disease patients should also clarify and foster relevant health beliefs that are strongly associated with taking up IV or the intention to take up IV. The government needs to consider cost-effectiveness of financial subsidy. Components to address issues such as emotional responses to emerging respiratory diseases should also be included in the campaigns.

ACKNOWLEDGEMENTS

The authors thank all participants for their participation in the study. The work was supported by the Department of Health, Hong Kong Special Administrative Region.

DECLARATION OF INTEREST

None.

References

REFERENCES

1.European Centre for Disease Control and Prevention. 2009 influenza A(H1N1) pandemic (version 7) (http://www.ecdc.europa.eu/en/healthtopics/documents/0908_influenza_ah1n1_risk_assessment.pdf). Accessed 3 June 2010.Google Scholar
2.Schanzer, DL, Langley, JM, Tam, TW. Co-morbidities associated with influenza-attributed mortality, 1994–2000, Canada. Vaccine 2008; 26: 46974703.CrossRefGoogle ScholarPubMed
3.Sprenger, MJ, et al. Impact of influenza on mortality in relation to age and underlying disease, 1967–1989. International Journal of Epidemiology 1993; 22: 334340.Google Scholar
4.Ahmed, AE, Nicholson, KG, Nguyen-Van-Tam, JS. Reduction in mortality associated with influenza vaccine during 1989–90 epidemic. Lancet 1995; 346: 591595.CrossRefGoogle ScholarPubMed
5.World Health Organization. Recommendations for influenza vaccines (http://www.who.int/csr/disease/influenza/vaccinerecommendations/en/index.html). Accessed 3 June 2010.Google Scholar
6.Mereckiene, J, et al. National seasonal influenza vaccination survey in Europe, 2008. Eurosurveillance 2008; 13: pii=19017.CrossRefGoogle ScholarPubMed
7.Hak, E, et al. Clinical effectiveness of influenza vaccination in persons younger than 65 years with high-risk medical conditions: the PRISMA study. Archives of Internal Medicine 2005; 165: 274280.Google Scholar
8.Keenan, H, Campbell, J, Evans, PH. Influenza vaccination in patients with asthma: why is the uptake so low? British Journal of General Practice 2007; 57: 359363.Google Scholar
9.Watkins, J. Effectiveness of influenza vaccination policy at targeting patients at high risk of complications during winter 1994–5: cross sectional survey. British Medical Journal 1997; 315: 10691070.CrossRefGoogle ScholarPubMed
10.Blank, PR, Schwenkglenks, M, Szucs, TD. Vaccination coverage rates in eleven European countries during two consecutive influenza seasons. Journal of Infection 2009; 58: 446458.Google Scholar
11.Oncel, S, et al. Status of influenza vaccination in patients presenting to two neighbourhood primary health care clinics in Antalya. Le Infezioni in Medicina 2008; 16: 7479.Google Scholar
12.Centre for Health Protection. Statements on influenza vaccination for the 2004/05 season (http://www.chp.gov.hk/files/pdf/sas-Flu-recommendations-en-20040927.pdf). Accessed 3 June 3 2010.Google Scholar
13.Centre for Health Protection. Vaccination schemes 2009/10 (http://www.almchk.org.hk/study/note/20090815.pdf). Accessed 3 June 2010.Google Scholar
14.Evans, MR, Watson, PA. Why do older people not get immunised against influenza? A community survey. Vaccine 2003; 21: 24212427.Google Scholar
15.Lau, JT, et al. Changes in prevalence of influenza vaccination and strength of association of factors predicting influenza vaccination over time – results of two population-based surveys. Vaccine 2007; 25: 82798289.Google Scholar
16.Moran, K, et al. Influenza vaccination rates in Ontario children: implications for universal childhood vaccination policy. Vaccine 2009; 27: 23502355.CrossRefGoogle ScholarPubMed
17.Xakellis, GC. Predictors of influenza immunization in persons over age 65. Journal of the American Board of Family Practice 2005; 18: 426433.CrossRefGoogle ScholarPubMed
18.Rodríguez-Rieiro, C, et al. Coverage and predictors of influenza vaccine uptake among adults aged 16 to 59 years suffering from a chronic condition in Madrid, Spain. Human Vaccines 2011; 7: 557562.Google Scholar
19.Dower, J, et al. Patterns and determinants of influenza and pneumococcal immunisation among adults with chronic disease living in Queensland, Australia. Vaccine 2011; 29: 30313037.CrossRefGoogle ScholarPubMed
20.Mok, E, Yeung, SH, Chan, MF. Prevalence of influenza vaccination and correlates of intention to be vaccinated among Hong Kong Chinese. Public Health Nursing 2006; 23: 506515.CrossRefGoogle ScholarPubMed
21.Rosenstock, IM. The health belief model and preventive health behaviour. Health Education Monographs 1974; 2: 354386.Google Scholar
22.Janz, NK, Champion, VL, Strecher, VJ. The health belief model. In: Glanz, K, Rimer, BK, Lewis, FM, eds. Health behavior and health education: Theory, Research, and Practice, 3rd edn.San Francisco: John Wiley & Sons Inc., 2002, pp. 4566.Google Scholar
23.Flood, EM, et al. Parents' decision-making regarding vaccinating their children against influenza: a web-based survey. Clinical Therapeutics 2010; 32: 14481467.CrossRefGoogle ScholarPubMed
24.Hubble, MW, Zontek, TL, Richards, ME. Predictors of influenza vaccination among emergency medical services personnel. Prehospital Emergency Care 2011; 15: 175183.CrossRefGoogle ScholarPubMed
25.Green, MS. Compliance with influenza vaccination and the health belief model. Israel Medical Association Journal 2000; 2: 912913.Google Scholar
26.Hyman, RB, et al. Health Belief Model variables as predictors of screening mammography utilization. Journal of Behavioral Medicine 1994; 17: 391406.Google Scholar
27.Sung, JJY, et al. Obstacles to colorectal cancer screening in Chinese: a study based on Health Belief Model. American Journal of Gastroenterology 2008; 103: 974981.Google Scholar
28.Painter, JE, et al. Development, theoretical framework, and lessons learned from implementation of a school-based influenza vaccination intervention. Health Promotion Practice 2010; 11 (3 Suppl.): 42S52S.CrossRefGoogle ScholarPubMed
29.Blank, PR, et al. Trends in influenza vaccination coverage rates in Germany over six seasons from 2001/02 to 2006/07. Medizinische Klinik (Munich) 2008; 103: 761768.Google Scholar
30.Ahmed, F, Singleton, JA, Franks, AL. Clinical practice. Influenza vaccination for healthy young adults. New England Journal of Medicine 2001; 345: 15431547.CrossRefGoogle ScholarPubMed
31.Szucs, TD, Muller, D. Influenza vaccination coverage rates in five European countries – a population-based cross-sectional analysis of two consecutive influenza seasons. Vaccine 2005; 23: 50555063.Google Scholar
32.Chor, JS, et al. Willingness of Hong Kong healthcare workers to accept pre-pandemic influenza vaccination at different WHO alert levels: two questionnaire surveys. British Medical Journal 2009; 339: b3391.Google Scholar
33.Rubin, GJ, Potts, HWW, Michie, S. Likely uptake of swine and seasonal flu vaccines among healthcare workers. A cross-sectional analysis of UK telephone survey data. Vaccine 2011; 29: 24212428.Google Scholar
34.Kramarz, P, Ciancio, B, Nicoll, A. Seasonal and pandemic influenza vaccines for the elderly and other risk groups: a review of available data. Polskie Archiwum Medycyny Wewnçtrznej 2009; 119: 654659.Google Scholar
35.Lau, JTF, et al. Perceptions about status and modes of H5N1 transmission and associations with immediate behavioral responses in the Hong Kong general population. Preventive Medicine 2006; 43: 406410.Google Scholar
36.Lau, JTF, et al. Monitoring of perceptions, anticipated behavioral, and psychological re sponses related to H5N1 Influenza. Infection 2010; 38: 275283.Google Scholar
37.Bish, A, Michie, S. Demographic and attitudinal determinants of protective behaviours during a pandemic: a review. British Journal of Health Psychology 2010; 15: 797824.Google Scholar
38.Rubin, GJ, Potts, HWW, Michie, S. The impact of communications about swine flu (influenza A H1N1v) on public responses to the outbreak: Results from 36 national telephone surveys in the UK. Health Technology Assessment 2010; 14: 183266.CrossRefGoogle Scholar
39.Ng, KF, Tsui, SL, Chan, WS. Prevalence of common chronic pain in Hong Kong adults. Clinical Journal of Pain 2002; 18: 275281.Google Scholar
40.Lee, S, Ling, Y, Tsang, A. Community-based co-morbidity of depression and chronic physical illnesses in Hong Kong. International Journal of Psychiatry Medicine 2010; 40: 339348.Google Scholar
Figure 0

Table 1. Behaviours and intention related to influenza vaccination (IV)

Figure 1

Table 2. Knowledge and perceptions related to influenza and influenza vaccination (IV) (among those who had heard of IV, n = 672)

Figure 2

Table 3. Details of the last episode of influenza vaccination (IV) (among those whose last IV episode was received during the last flu season, n = 160)

Figure 3

Table 4. Predictors of influenza vaccination (IV) behaviours (among those who had heard of IV, n = 672)