Influenza vaccination accuracy among adults: Self-report compared with electronic health record data

Vaccine. 2024 Apr 19;42(11):2740-2746. doi: 10.1016/j.vaccine.2024.03.052. Epub 2024 Mar 25.

Abstract

Objective: To assess the validity of electronic health record (EHR)-based influenza vaccination data among adults in a multistate network.

Methods: Following the 2018-2019 and 2019-2020 influenza seasons, surveys were conducted among a random sample of adults who did or did not appear influenza-vaccinated (per EHR data) during the influenza season. Participants were asked to report their influenza vaccination status; self-report was treated as the criterion standard. Results were combined across survey years.

Results: Survey response rate was 44.7% (777 of 1740) for the 2018-2019 influenza season and 40.5% (505 of 1246) for the 2019-2020 influenza season. The sensitivity of EHR-based influenza vaccination data was 75.0% (95% confidence interval [CI] 68.1, 81.1), specificity 98.4% (95% CI 92.9, 99.9), and negative predictive value 73.9% (95% CI 68.0, 79.3).

Conclusions: In a multistate research network across two recent influenza seasons, there was moderate concordance between EHR-based vaccination data and self-report.

Keywords: Accuracy; Adults; Electronic health records; Influenza vaccination; Self-report.

MeSH terms

  • Adult
  • Electronic Health Records
  • Humans
  • Influenza Vaccines*
  • Influenza, Human* / prevention & control
  • Seasons
  • Self Report
  • Surveys and Questionnaires
  • Vaccination

Substances

  • Influenza Vaccines