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Comparison of local influenza vaccine effectiveness using two methods
Authors:GK Balasubramani  Richard K Zimmerman  Heather Eng  Jason Lyons  Lloyd Clarke  Mary Patricia Nowalk
Institution:1. University of Pittsburgh Department of Epidemiology, Suite 600 Schenley Place, 4420 Bayard St., Pittsburgh, PA 15260 USA;2. University of Pittsburgh Department of Family Medicine, Suite 520 Schenley Place, 4420 Bayard St., Pittsburgh, PA 15260 USA;3. UPMC Health System Department of Pharmacy, Division of Infectious Diseases/Pharmacy Department – AMP 5th Floor Falk Medical Building, 3601 Fifth Ave, Pittsburgh, PA, USA
Abstract:BackgroundIn some settings, research methods to determine influenza vaccine effectiveness (VE) may not be appropriate because of cost, time constraints, or other factors. Administrative database analysis of viral testing results and vaccination history may be a viable alternative. This study compared VE estimates from outpatient research and administrative databases.MethodsUsing the test-negative, case-control design, data for 2017–2018 and 2018–2019 influenza seasons were collected using: 1) consent, specimen collection, RT-PCR testing and vaccine verification using multiple methods; and 2) an administrative database of outpatients with a clinical respiratory viral panel combined with electronic immunization records. Odds ratios for likelihood of influenza infection by vaccination status were calculated using multivariable logistic regression. VE = (1 ? aOR) × 100.ResultsResearch participants were significantly younger (P < 0.001), more often white (69% vs. 59%; P < 0.001) than non-white and less frequently enrolled through the emergency department (35% vs. 72%; P < 0.001) than administrative database participants. VE was significant against all influenza and influenza A in each season and both seasons combined (37–49%). Point estimate differences between methods were evident, with higher VE in the research database, but insignificant due to low sample sizes. When enrollment sites were separately analyzed, there were significant differences in VE estimates for all influenza (66% research vs. 46% administrative P < 0.001) and influenza A (67% research vs. 49% administrative; P < 0.001) in the emergency department.Conclusions:The selection of the appropriate method for determining influenza vaccine effectiveness depends on many factors, including sample size, subgroups of interest, etc., suggesting that research estimates may be more generalizable. Other advantages of research databases for VE estimates include lack of clinician-related selection bias for testing and less misclassification of vaccination status. The advantages of the administrative databases are potentially shorter time to VE results and lower cost.
Keywords:Influenza  Vaccine  Vaccine effectiveness  Administrative databases
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