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Enhancing COVID-19 vaccine effectiveness evidence generation using tokenized immunization registries

Year: 2025
Type: article
Study design: Observational Study
Abstract: PURPOSE: To describe a novel data ecosystem and quantify improvements in documented COVID-19 vaccine uptake using closed claims data and state vaccine registries. METHODS: De-identified data from administrative claims were linked via tokenization to state vaccine registry data from two states with mandatory vaccine reporting. COVID-19 vaccine uptake in claims alone versus supplemented with registry data was measured separately for original wildtype, BA.4/5-adapted bivalent, and XBB.1.5-adapted formulations. RESULTS: There were over 9 million individuals included in each formulation distribution study period. Using claims data alone versus with additional state registry data, 20% versus 57% of individuals had documented receipt of a primary wildtype series (≥2 doses of two-dose or ≥ 1 of single-dose series), 7% versus 10% BA.4/5-adapted bivalent, and 6% versus 8% XBB.1.5-adapted COVID-19 vaccine. Most claims-based vaccination events were captured with drug, rather than procedure, codes. Individuals with Medicaid-based insurance were less likely to be captured as vaccinated in claims data. CONCLUSIONS: The addition of state vaccine registries increased COVID-19 vaccine capture by 182% for primary wildtype series, 41% BA.4/5-adapted bivalent, and 38% XBB.1.5-adapted formulations. Tokenization of claims data to vaccine registries presents an opportunity for more accurate estimates of vaccine uptake and effectiveness than claims data alone.
Language: English
Field: Medicine
Open Access status: hybrid
Estimated APC paid: $4,856
Funder: Pfizer
OpenAlex ID: W4416189406
FWCI:
Cites: 11
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