Influenza vaccination patterns among at-risk patients during the Covid-19 pandemic—a retrospective cross-sectional study based on claims data
Andreas Plate, Christophe Bagnoud, Thomas Rosemann, Oliver Senn, Stefania Di Gangi

TL;DR
This study examines how the Covid-19 pandemic affected influenza vaccination rates among at-risk patients, finding that prior vaccination history strongly predicts future uptake.
Contribution
The study identifies the impact of the pandemic on first-time influenza vaccination rates and highlights the importance of prior vaccination history as a strong predictor.
Findings
Influenza vaccination uptake increased during the pandemic, with 14.3% of unvaccinated patients getting vaccinated for the first time in 2020/2021.
A history of vaccinations in all previous seasons was the strongest predictor of vaccination (OR 56.20).
Abstract
The Covid-19 pandemic may have encouraged at-risk patients to get vaccinated against influenza for the first time. As previous vaccinations are known predictors for further vaccinations, knowledge about individual vaccination patterns, especially in first time vaccinated patients, is of great interest. The aim of this study was to determine influenza vaccination uptake rate (VUR), individual vaccination patterns and factors associated with vaccination uptake among at-risk patients. The study design was retrospective cross-sectional. Based on claims data, VUR was determined for four influenza seasons (2018/2019—2021/2022). In a cohort subgroup, with data available for all seasons, VUR, vaccination patterns and factors associated with uptake were determined. At-risk patients were people aged ≥ 65 and adult patients with chronic diseases. We included n = 238,461 patients in the…
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Taxonomy
TopicsInfluenza Virus Research Studies · Respiratory viral infections research · Vaccine Coverage and Hesitancy
