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Published on: December 1, 2017
Influenza Vaccination Coverage Among Medicare Fee-for-Service Beneficiaries.
Yuping Tsai1, James A Singleton1, Hilda Razzaghi1
1National Center for Immunization and Respiratory Diseases (NCIRD), Centers for Disease Control and Prevention, Atlanta, Georgia.
Self-reported influenza vaccination coverage is higher than claims-based coverage, with significant disparities observed among certain demographic groups. This highlights potential underestimation of vaccination rates in claims data.
Area of Science:
- Public Health
- Epidemiology
- Health Services Research
Background:
- Influenza vaccination is crucial for preventing influenza infection.
- Accurate measurement of influenza vaccination coverage is essential for public health surveillance.
- Discrepancies between self-reported and claims-based data can impact coverage estimates.
Purpose of the Study:
- To assess the concordance between self-reported and claims-based influenza vaccination coverage.
- To examine disparities in influenza vaccination among US beneficiaries.
- To evaluate the accuracy of self-reported vaccination data compared to claims.
Main Methods:
- Analysis of 2016-2019 Medicare Current Beneficiary Survey data linked to vaccination claims.
- Inclusion of beneficiaries aged ≥65 years in Medicare fee-for-service plans.
- Calculation of sensitivity, specificity, kappa statistics, and net bias; logistic regressions for disparity analysis.
Main Results:
- Survey-based coverage (76.3%) was higher than claims-based coverage (60.0%), with a net bias of 16.3 percentage points.
- Self-reported data showed high sensitivity (98.7%) but moderate specificity (57.4%).
- Higher net bias and lower data agreement were observed in males, racial/ethnic minorities, and rural residents.
Conclusions:
- Data agreement between self-reported and claims-based influenza vaccination varies significantly across demographic groups.
- Self-reported data may overestimate coverage, particularly among males, minorities, and rural populations.
- Claims data may underestimate influenza vaccination rates, potentially masking true disparities.
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