Determining vaccination status among the population is key for vaccine research and surveillance. This study aimed to validate the combined use of Ontario Health Insurance Program (OHIP) physician billing claims and Ontario Drug Benefit program (ODB) pharmacist billing claims against data from the Canadian Community Health Survey (CCHS).
OHIP and ODB billing claims databases were linked to 2013-2014 CCHS data, which contain self-reported seasonal influenza vaccination status of respondents (the reference standard). Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), and their associated 95% confidence intervals (CIs) were estimated. Subgroup analyses were performed based on key respondent characteristics, including having a regular medical doctor and the presence of risk factors for influenza complications.
There were 31,390 eligible CCHS respondents aged ≥ 12 years in Ontario who responded to the influenza vaccination questions and agreed to have their responses linked to health administrative databases. More than half (55%) were female, 29% were aged ≥ 65 years, 93% had a regular medical doctor, and 54% had one or more risk factors for influenza complications. The sensitivity for the combined administrative databases was 60.1% (95% CI, 59.3%-61.0%), specificity was 98.5% (95% CI, 98.3%-98.7%), PPV was 96.7% (95% CI, 96.3%-97.1%), and NPV was 76.9% (95% CI, 76.4%-77.5%). Sensitivity was higher among those aged ≥ 65 years (72.7%; 95% CI, 71.6%-73.7%), with a regular medical doctor (61.1%; 95% CI, 60.3%-62.0%), and those with at least one risk factor for influenza complications (65.8%; 95% CI, 64.9%-66.8%).
Combining administrative physician and pharmacy claims data in Ontario results in moderate sensitivity but very high specificity and PPV, demonstrating that they can be a valid measure of influenza vaccination status.

© 2025. The Author(s).