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Predictors Associated with the Willingness to Take Human Papilloma Virus Vaccination

Abstract  

Human papilloma virus vaccine is considered to be the primary form of cervical cancer prevention. The objectives were (1)
to determine knowledge about, and perception of human papilloma virus infection in relation to cervical cancer, (2) to explore
the intention of the community to be vaccinated with human papilloma virus vaccine, and (3) to identify variables that could
predict the likelihood of uptake of the vaccine. A cross-sectional survey was carried out in a semi-urban Town of Malaysia,
using a pre-tested structured questionnaire. Summary statistics, Pearson chi-square test and a binary logistic regression were used for data analysis. A total of 232 respondents were interviewed. Overall,
only a few had good knowledge related to human papilloma virus (14%) or vaccination (8%). Many had misconceptions that it
could be transmitted through blood transfusion (57%). Sixty percent had intention to take vaccination. In the binary logistic
model, willingness to take vaccination was significant with ‘trusts that vaccination would be effective for prevention of
cervical cancer’ (P = 0.001), ‘worries for themselves’ (P < 0.001) or ‘their family members’ (P = 0.003) and ‘being Indian ethnicity’ (P = 0.024). The model could fairly predict the likelihood of uptake of the vaccine (Cox & Snell R
2 = .415; Nagelkerke R
2 = 0.561). Results indicate that intensive health education dispelling misconception and risk perception towards human papilloma
virus infection and cervical cancer would be helpful to increase the acceptability of vaccination program.

  • Content Type Journal Article
  • Category Original Paper
  • Pages 1-6
  • DOI 10.1007/s10900-011-9473-4
  • Authors
    • Cho Naing, School of Medical Sciences, International Medical University (IMU), 57000 Kuala Lumpur, Malaysia
    • Joanne Pereira, School of Medical Sciences, International Medical University (IMU), 57000 Kuala Lumpur, Malaysia
    • Tatsuki Abe, School of Medical Sciences, International Medical University (IMU), 57000 Kuala Lumpur, Malaysia
    • Daniel Eh Zhen Wei, School of Medical Sciences, International Medical University (IMU), 57000 Kuala Lumpur, Malaysia
    • Ibrizah Binti Abdul Rahman Bajera, School of Medical Sciences, International Medical University (IMU), 57000 Kuala Lumpur, Malaysia
    • Undugodage Heshan Kavinda Perera, School of Medical Sciences, International Medical University (IMU), 57000 Kuala Lumpur, Malaysia
    • Journal Journal of Community Health
    • Online ISSN 1573-3610
    • Print ISSN 0094-5145
Posted in: Journal Article Abstracts on 09/19/2011 | Link to this post on IFP |
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