Ontology highlight
ABSTRACT: Objective
To assess the accuracy of physician billing claims for identifying acute respiratory infections in primary care. STUDY SETTING. Nine primary care physician practices in Montreal, Canada (2002-2005).Study design
A validation study was carried out to compare diagnoses in 3,526 physician billing claims with diagnoses documented in the corresponding patient medical records.Data collection
In-office medical record abstraction.Principal findings
Claims had a high positive predictive value (PPV), negative predictive value, and specificity for identifying respiratory infections; however, their sensitivity was below 50 percent. Large variation in sensitivity and PPV was observed among physicians.Conclusions
Because claims data are now routinely used to monitor antibiotic prescribing in primary care, future research should determine if acute respiratory infection diagnoses are missing from claims at random, or if bias is present.
SUBMITTER: Cadieux G
PROVIDER: S-EPMC2614002 | biostudies-literature | 2008 Dec
REPOSITORIES: biostudies-literature
Cadieux Geneviève G Tamblyn Robyn R
Health services research 20080728 6
<h4>Objective</h4>To assess the accuracy of physician billing claims for identifying acute respiratory infections in primary care. STUDY SETTING. Nine primary care physician practices in Montreal, Canada (2002-2005).<h4>Study design</h4>A validation study was carried out to compare diagnoses in 3,526 physician billing claims with diagnoses documented in the corresponding patient medical records.<h4>Data collection</h4>In-office medical record abstraction.<h4>Principal findings</h4>Claims had a h ...[more]