Influenza vaccination accuracy among adults: Self-report compared with electronic health record data
Supporting Files
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4-19-
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File Language:
English
Details
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Alternative Title:Vaccine
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Personal Author:
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Description: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.
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Subjects:
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Keywords:
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Source:Vaccine. 42(11):2740-2746
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Pubmed ID:38531726
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Pubmed Central ID:PMC11238074
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Document Type:
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Funding:
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Volume:42
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Issue:11
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Collection(s):
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Main Document Checksum:urn:sha256:985b6a48e93583ea496986bee9f01fe4dfdc500740b25a8ace87d81b1c9a1ef0
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Download URL:
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File Type:
File Language:
English
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