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Estimating influenza vaccine effectiveness using data routinely available in electronic primary care records
Annette K Regan1, Robyn Gibbs2, Lauren Bloomfield3
1School of Public Health, Curtin University, Kent Street, Bentley, Western Australia 6152, Australia; Communicable Disease Control Directorate, Department of Health Western Australia, 189 Royal Street, Perth, Western Australia 6004, Australia.
Vaccine
|January 3, 2019
Summary
Automated extraction of general practice data enables timely estimation of influenza vaccine effectiveness (VE). This method achieved 52% overall VE, supporting efficient public health surveillance.
Area of Science:
- Epidemiology
- Public Health
- Immunization
Background:
- Timely estimation of influenza vaccine effectiveness (VE) is crucial for public health.
- Traditional methods can be resource-intensive and time-consuming.
- Exploring automated data extraction from general practice records offers a potential solution.
Purpose of the Study:
- To assess the feasibility of using automated data extraction from general practice records for estimating annual influenza VE.
- To evaluate VE over four consecutive southern hemisphere influenza seasons (2012-2015).
Main Methods:
- A software tool collected data from 130 general practices in Western Australia.
- Outpatients tested for influenza via PCR (2012-2015) were identified.
- A case test-negative control analysis compared vaccination status between PCR-positive and PCR-negative patients.
Main Results:
- 7270 influenza PCR tests were analyzed; 26.2% were positive.
- Influenza vaccination rates were lower in PCR-positive cases (9.4%) than controls (17.9%).
- Overall VE was 52% (95% CI, 43-60%), with annual estimates ranging from 46% to 60%.
Conclusions:
- Routine electronic health records in general practice are a valuable resource for timely and efficient VE estimation.
- Automated data extraction supports rapid public health decision-making regarding influenza vaccination programs.
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