Sentence examples for match a registry from inspiring English sources

Patterns of immunization data discrepancy for children who did match a registry record also have important implications for vaccine effectiveness studies.

It might be tempting to include persons with disease in a vaccine effectiveness study regardless of whether they match a registry record, since their immunization records are likely to be available from other sources.

Subjects who were 11 17 years old when they first visited their primary care site were less likely to match a registry record than subjects who were 0 10 years old at their first visit.

However, doing so could bias the estimate of vaccine effectiveness, if the vaccination status of persons who match a registry record is systematically different from that of persons who do not match.

We used logistic regression to examine the independent contributions of current age, age at first visit to the provider site, and sex to 1) ability to match a registry record and 2) among matched records, discrepancy in whether the subject was up-to-date for pertussis-related immunization, constructing separate models for subjects from current user sites and from future direct-EMR-transfer sites.

If so, then a study including diseased persons who do not match a registry record would upwardly bias vaccine effectiveness estimates, because these cases would be less likely to be completely vaccinated than the population represented by the registry independent of any protective effect of the vaccine.

Among 350 subjects from sites that were current registry users, 307 (87.7%) matched a registry record.

For subjects from sites that were current registry users and who matched a registry record, registry managers evaluated whether discrepancies in immunization data existed between the provider record and the registry record.

Among the 442 subjects from future direct-EMR-transfer sites, 393 (88.9%) would have matched a registry record once direct EMR transfer started, with the range among sites again 82.0% to 100%.

In logistic regression models, age at first visit to the primary care site was the only statistically significant predictor of matching a registry record for both current user sites (adjusted odds ratio (aOR) for 0 10-year-old age group = 10 10-year-old0 10-year-olde direct-EMR-tragefer sites (aOR for 0–10-year-old agroupoup = 4.0, p = 0.0005).

As one example of AS, the FDA's Sentinel pilot program uses the electronic health information available in claims systems, inpatient and outpatient healthcare records, and patient registries to match a specific medicine (assuming billing codes are product specific) with a clinically reported outcome [ 26].