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Vaccine
. 2024 Mar 25:S0264-410X(24)00339-6.
doi: 10.1016/j.vaccine.2024.03.052. Online ahead of print. Influenza vaccination accuracy among adults: Self-report compared with electronic health record data
Matthew F Daley 1 , Liza M Reifler 2 , Jo Ann Shoup 3 , Jason M Glanz 4 , Bruno J Lewin 5 , Nicola P Klein 6 , Elyse O Kharbanda 7 , Huong Q McLean 8 , Simon J Hambidge 9 , Jennifer C Nelson 10 , Allison L Naleway 11 , Eric S Weintraub 12 , Michael M McNeil 13 , Hilda Razzaghi 14 , James A Singleton 15
Affiliations
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.
. 2024 Mar 25:S0264-410X(24)00339-6.
doi: 10.1016/j.vaccine.2024.03.052. Online ahead of print. Influenza vaccination accuracy among adults: Self-report compared with electronic health record data
Matthew F Daley 1 , Liza M Reifler 2 , Jo Ann Shoup 3 , Jason M Glanz 4 , Bruno J Lewin 5 , Nicola P Klein 6 , Elyse O Kharbanda 7 , Huong Q McLean 8 , Simon J Hambidge 9 , Jennifer C Nelson 10 , Allison L Naleway 11 , Eric S Weintraub 12 , Michael M McNeil 13 , Hilda Razzaghi 14 , James A Singleton 15
Affiliations
- PMID: 38531726
- DOI: 10.1016/j.vaccine.2024.03.052
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.