Comparison of Predictive Factors of Flu Vaccine Uptake Pre- and Post-COVID-19 Using the NIS-Teen Survey

Age was the largest predictor, with older teens being much less likely to be vaccinated than younger teens (97.48% compared to 41.71%, <i>p</i> < 0.0001). Provider participation in government programs such as Vaccines for Children and the state vaccine registry positively impacts vaccine uptake (<i>p</i> < 0.0001). Identifying as non-Hispanic Black was a small, negative predictor of teen vaccine uptake (78.18% unvaccinated compared to 73.78% of White teens, <i>p</i> < 0.0001). The state quartile for COVID-19 vaccine uptake also strongly predicted flu vaccine uptake, with the upper quartile of state COVID-19 vaccine uptake being significantly more likely to also get vaccinated for influenza (76.96%, 74.94%, 74.55%, and 72.97%, <i>p</i> < 0.0001). Other significant factors are the number of providers, education of the mother, poverty status, and having a mixed provider facility type. Additionally, the multivariable regression analysis revealed little difference in the predictive factors of vaccine uptake between pre- and post-pandemic datasets.

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Publication Details

Journal
Vaccines
Published
2024-10-12
DOI
https://doi.org/10.3390/vaccines12101164
Citations
4
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
1.55

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article

Comparison of Predictive Factors of Flu Vaccine Uptake Pre- and Post-COVID-19 Using the NIS-Teen Survey

Stephen Piccolo, Brian D. Poole, Haley Hoelzer, H Stevens et al.
4 citations
Vaccines
Influenza Virus Research Studies
1.55
article

Comparison of Predictive Factors of Flu Vaccine Uptake Pre- and Post-COVID-19 Using the NIS-Teen Survey

Stephen Piccolo, Brian D. Poole, Haley Hoelzer, H Stevens, Dashiell S. Miner, Tyler Davis, Spencer C. Davis, Jamie L. Jensen, Ty J. Skyles, Acelan M. Obray, Matthew J. East
article en
4 citations

Abstract

Age was the largest predictor, with older teens being much less likely to be vaccinated than younger teens (97.48% compared to 41.71%, <i>p</i> < 0.0001). Provider participation in government programs such as Vaccines for Children and the state vaccine registry positively impacts vaccine uptake (<i>p</i> < 0.0001). Identifying as non-Hispanic Black was a small, negative predictor of teen vaccine uptake (78.18% unvaccinated compared to 73.78% of White teens, <i>p</i> < 0.0001). The state quartile for COVID-19 vaccine uptake also strongly predicted flu vaccine uptake, with the upper quartile of state COVID-19 vaccine uptake being significantly more likely to also get vaccinated for influenza (76.96%, 74.94%, 74.55%, and 72.97%, <i>p</i> < 0.0001). Other significant factors are the number of providers, education of the mother, poverty status, and having a mixed provider facility type. Additionally, the multivariable regression analysis revealed little difference in the predictive factors of vaccine uptake between pre- and post-pandemic datasets.

VaccinesVol. 12(10)
Brigham Young University (US)
Brigham Young University
Openalex Percentile: Top 16%
Influenza Virus Research Studies
1.55
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