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. 2022 May 26;19(11):6500.
doi: 10.3390/ijerph19116500.

COVID-19 and Influenza Vaccination Campaign in a Research and University Hospital in Milan, Italy

Affiliations

COVID-19 and Influenza Vaccination Campaign in a Research and University Hospital in Milan, Italy

Maurizio Lecce et al. Int J Environ Res Public Health. .

Abstract

Background: Healthcare workers (HCWs) are a historical key target of influenza vaccination programs. For the 2021-2022 season, WHO considered the coadministration of a flu and a COVID-19 vaccine as acceptable and recommended it to allow for higher uptake of both vaccines. The aim of this study was to investigate demographic and occupational features of vaccinated HCWs, reasons behind flu vaccine acceptance and a possible effect of the coadministration of a COVID-19 vaccine, in order to potentially draw general conclusions on HCWs' attitude towards flu vaccination and inform further strategies for consistent improvement of vaccine acceptance.

Methods: a promotional and educational campaign, a gaming strategy, and vaccination delivery through both a large central hub and on-site ambulatories, were the implemented strategies. In the central hub, the flu/COVID-19 vaccine coadministration was offered. Statistical descriptive analysis, multiple correspondence analysis (MCA) and logistic regression models were performed.

Results: 2381 HCWs received the flu vaccine, prompting a vaccination coverage rate (VCR) of 52.0% versus 43.1% in the 2020-2021 campaign. Furthermore, 50.6% vaccinated HCWs belonged to the 18-39 years-old age group. The most expressed reasons for vaccine uptake were "Vaccination is the most effective strategy of prevention" (n = 1928, 81.0%), "As HCW it's my duty to get vaccinated to protect my patients" (n = 766, 32.2%), and the group of COVID-19-related reasons (n = 586, 24.6%). In addition, 23.3% HCWs received the flu vaccine in the current campaign but not in the previous one (newly vaccinated) and the flu/COVID-19 vaccine coadministration was more frequent in this group. A total of 51.0% HCWs were hesitant towards the coadministration, while residents and nurses showed the highest propensity to receive it.

Conclusions: in the second year of the COVID-19 pandemic, the Fondazione's influenza VCR continued to increase, with the greatest participation among HCWs aged 18-39 years. A potential propelling role of the COVID-19 vaccine coadministration was highlighted.

Keywords: COVID-19 vaccine; healthcare workers; influenza vaccine; vaccination coverage; vaccine acceptance; vaccine adherence; vaccine coadministration; vaccine compliance.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
(A). HCWs’ qualifications and reasons for flu vaccination uptake resulted to be associated in the new planes defined by the first three dimensions (Dim 1, Dim 2, and Dim 3) computed by the MCA. The three dimensions can be considered as new variables that try to summarize the variability present in the dataset in a quantitative way. This way, particular response profiles characterized by different values of these new dimensions can be extracted from the individual responses that were given to the questionnaire questions. For better interpretability, labels of different reasons have been shortened as follows: reason 1, i.e., “Vaccination is the most effective strategy of prevention” to “most effective strategy of prevention”; reason 2, i.e., “COVID-19 pandemic made me aware that vaccination is useful for myself” to “useful for myself”; reason 3, i.e., “COVID-19 pandemic made me aware that vaccination is an act of responsibility towards the community” to “responsibility towards the community”; and reason 9, i.e., “As HCW it’s my duty to get vaccinated to protect my patients” to “duty to protect my patients”. (B). HCWs’ areas of activity and reasons for flu vaccination uptake resulted to be associated in the new planes defined by the first three dimensions (Dim 1, Dim 2, and Dim 3) computed by the MCA. For better interpretability, labels of different reasons have been shortened as follows: reason 1, i.e., “Vaccination is the most effective strategy of prevention” to “most effective strategy of prevention”; reason 2, i.e., “COVID-19 pandemic made me aware that vaccination is useful for myself” to “useful for myself”; reason 3, i.e., “COVID-19 pandemic made me aware that vaccination is an act of responsibility towards the community” to “responsibility towards the community”; reason 6, i.e., “I fear the complications of the flu” to “fear of flu complications”; and reason 9, i.e., “As HCW it’s my duty to get vaccinated to protect my patients” to “duty to protect my patients”.
Figure 1
Figure 1
(A). HCWs’ qualifications and reasons for flu vaccination uptake resulted to be associated in the new planes defined by the first three dimensions (Dim 1, Dim 2, and Dim 3) computed by the MCA. The three dimensions can be considered as new variables that try to summarize the variability present in the dataset in a quantitative way. This way, particular response profiles characterized by different values of these new dimensions can be extracted from the individual responses that were given to the questionnaire questions. For better interpretability, labels of different reasons have been shortened as follows: reason 1, i.e., “Vaccination is the most effective strategy of prevention” to “most effective strategy of prevention”; reason 2, i.e., “COVID-19 pandemic made me aware that vaccination is useful for myself” to “useful for myself”; reason 3, i.e., “COVID-19 pandemic made me aware that vaccination is an act of responsibility towards the community” to “responsibility towards the community”; and reason 9, i.e., “As HCW it’s my duty to get vaccinated to protect my patients” to “duty to protect my patients”. (B). HCWs’ areas of activity and reasons for flu vaccination uptake resulted to be associated in the new planes defined by the first three dimensions (Dim 1, Dim 2, and Dim 3) computed by the MCA. For better interpretability, labels of different reasons have been shortened as follows: reason 1, i.e., “Vaccination is the most effective strategy of prevention” to “most effective strategy of prevention”; reason 2, i.e., “COVID-19 pandemic made me aware that vaccination is useful for myself” to “useful for myself”; reason 3, i.e., “COVID-19 pandemic made me aware that vaccination is an act of responsibility towards the community” to “responsibility towards the community”; reason 6, i.e., “I fear the complications of the flu” to “fear of flu complications”; and reason 9, i.e., “As HCW it’s my duty to get vaccinated to protect my patients” to “duty to protect my patients”.
Figure 2
Figure 2
Mosaic plots exploring HCWs’ qualification (a), area of activity (b), and flu/COVID-19 vaccines coadministration (c) in newly vaccinated HCWs (“New”) versus HCWs who got vaccinated also in the 2020–2021 season (“Last Year Vaccinated”).
Figure 2
Figure 2
Mosaic plots exploring HCWs’ qualification (a), area of activity (b), and flu/COVID-19 vaccines coadministration (c) in newly vaccinated HCWs (“New”) versus HCWs who got vaccinated also in the 2020–2021 season (“Last Year Vaccinated”).
Figure 3
Figure 3
HCWs’ propensity towards being newly vaccinated against influenza-log of the odds and their 95% CIs extracted from two models having HCWs’ qualification (a) and area of activity (b) as predictor variables. Statistical significance for the effects is shown when the 95% Confidence Intervals do not cross the vertical dashed line set to 0.
Figure 4
Figure 4
HCWs’ propensity towards influenza and COVID-19 vaccine coadministration-log of the odds and their 95% CIs extracted from two models having HCWs’ qualification (a) and area of activity (b) as predictor variables. Statistical significance for the effects is shown when the 95% Confidence Intervals do not cross the vertical dashed line set to 0.

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