Header

UZH-Logo

Maintenance Infos

Influenza vaccination patterns among at-risk patients during the Covid-19 pandemic—a retrospective cross-sectional study based on claims data


Plate, Andreas; Bagnoud, Christophe; Rosemann, Thomas; Senn, Oliver; Di Gangi, Stefania (2024). Influenza vaccination patterns among at-risk patients during the Covid-19 pandemic—a retrospective cross-sectional study based on claims data. Infection:Epub ahead of print.

Abstract

Purpose
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.

Methods
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.

Results
We included n = 238,461 patients in the cross-sectional analysis. Overall VUR ranged between 21.8% (2018/2019) and 29.1% (2020/2021). Cohort subgroup consisted of n = 138,526 patients. Within the cohort, 56% were never vaccinated and 11% were vaccinated in all seasons. 14.3% of previously unvaccinated patients were vaccinated for the first time in the first pandemic season (2020/2021 season). The strongest predictor for vaccination was history of vaccinations in all previous seasons (OR 56.20, 95%CI 53.62–58.90, p < 0.001).

Conclusion
Influenza VUR increased during the Covid-19 pandemic, but only a minority of previously eligible but unvaccinated at-risk patients were vaccinated for the first time in the first pandemic season. Previous vaccinations are predictors for subsequent vaccinations and health care professionals should actively address at-risk patients’ vaccination history in order to recommend vaccination in future seasons.

Abstract

Purpose
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.

Methods
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.

Results
We included n = 238,461 patients in the cross-sectional analysis. Overall VUR ranged between 21.8% (2018/2019) and 29.1% (2020/2021). Cohort subgroup consisted of n = 138,526 patients. Within the cohort, 56% were never vaccinated and 11% were vaccinated in all seasons. 14.3% of previously unvaccinated patients were vaccinated for the first time in the first pandemic season (2020/2021 season). The strongest predictor for vaccination was history of vaccinations in all previous seasons (OR 56.20, 95%CI 53.62–58.90, p < 0.001).

Conclusion
Influenza VUR increased during the Covid-19 pandemic, but only a minority of previously eligible but unvaccinated at-risk patients were vaccinated for the first time in the first pandemic season. Previous vaccinations are predictors for subsequent vaccinations and health care professionals should actively address at-risk patients’ vaccination history in order to recommend vaccination in future seasons.

Statistics

Citations

Altmetrics

Downloads

2 downloads since deposited on 16 Feb 2024
2 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Institute of General Practice
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Health Sciences > Microbiology (medical)
Health Sciences > Infectious Diseases
Uncontrolled Keywords:Infectious Diseases, Microbiology (medical), General Medicine
Language:English
Date:1 February 2024
Deposited On:16 Feb 2024 11:17
Last Modified:30 Jun 2024 01:38
Publisher:Springer
ISSN:0300-8126
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1007/s15010-024-02175-3
PubMed ID:38302673
Project Information:
  • : FunderUniversity of Zurich
  • : Grant ID
  • : Project Title
  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)