Introduction. Influenza is an infectious disease with a high burden, for which a safe and efficacy vaccine is available. However, vaccination coverage is generally low, also among Health Care Workers (HCW). Health Professions students are comparable to HCW in terms of workplace exposure. Aim. The study aim was to identify predictive factors of flu vaccination acceptance among Italian students of Health Professions. Methods. A cross-sectional study was performed using a validated, on-line, anonymous questionnaire. Data were analyzed performing both univariable and multivariable logistic analysis. Results. The results showed a statistically significant association between intention to vaccinate next year and: geographical distribution, considering themselves at higher risk due to their profession, having been vaccinated last year, having recommended the vaccination last year, and being willing to recommend it next year and being favorable to mandatory vaccination. In conclusion, identifying an effective vaccination strategy and including students in flu vaccination campaigns might have positive effect on vaccination acceptance.
Factors predicting health science students’ willingness to be vaccinated against seasonal flu during the next campaign / V. Gianfredi, G. Dallagiacoma, S. Provenzano, O.E. Santangelo. - In: ANNALI DELL'ISTITUTO SUPERIORE DI SANITÀ. - ISSN 0021-2571. - 55:3(2019 Jul), pp. 209-216. [10.4415/ANN_19_03_03]
Factors predicting health science students’ willingness to be vaccinated against seasonal flu during the next campaign
V. Gianfredi
Primo
;
2019
Abstract
Introduction. Influenza is an infectious disease with a high burden, for which a safe and efficacy vaccine is available. However, vaccination coverage is generally low, also among Health Care Workers (HCW). Health Professions students are comparable to HCW in terms of workplace exposure. Aim. The study aim was to identify predictive factors of flu vaccination acceptance among Italian students of Health Professions. Methods. A cross-sectional study was performed using a validated, on-line, anonymous questionnaire. Data were analyzed performing both univariable and multivariable logistic analysis. Results. The results showed a statistically significant association between intention to vaccinate next year and: geographical distribution, considering themselves at higher risk due to their profession, having been vaccinated last year, having recommended the vaccination last year, and being willing to recommend it next year and being favorable to mandatory vaccination. In conclusion, identifying an effective vaccination strategy and including students in flu vaccination campaigns might have positive effect on vaccination acceptance.File | Dimensione | Formato | |
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