1. Influenza vaccination accuracy among adults: Self-report compared with electronic health record data.
- Author
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Daley MF, Reifler LM, Shoup JA, Glanz JM, Lewin BJ, Klein NP, Kharbanda EO, McLean HQ, Hambidge SJ, Nelson JC, Naleway AL, Weintraub ES, McNeil MM, Razzaghi H, and Singleton JA
- Subjects
- Adult, Humans, Electronic Health Records, Self Report, Vaccination, Surveys and Questionnaires, Seasons, Influenza, Human prevention & control, Influenza Vaccines
- 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., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)
- Published
- 2024
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