Fidelity Assessment of a Clinical Practice Research Datalink Conversion to the OMOP Common Data Model

Amy Matcho, Patrick Ryan, Daniel Fife, Christian Reich
2014 Drug Safety  
The unique structure and coding of the Clinical Practice Research Datalink (CPRD) presents challenges for epidemiologic analysis and for comparisons with other databases. To address this limitation we sought to transform CPRD into the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). Methods An extraction, transformation and loading process was developed, which detailed source code mappings, Read code domain classification, an imputation algorithm for drug duration and
more » ... pecial handling of lifestyle/clinical data. Completeness and accuracy of the above elements were assessed. A final validation exercise involved replication of a published case-control study that examined use of nonsteroidal antiinflammatory drugs (NSAIDs) and the risk of first-time acute myocardial infarction (AMI) in raw CPRD data and the CPRD CDM. Findings All elements of the CPRD CDM transformation were assessed to be of high quality. 99.9 % of database condition records and 89.7 % of database drug records were mapped (majority unmapped drugs were devices and over-thecounter products); 3.1 % of duration imputations were deemed possibly erroneous and prevalences for selected conditions and drugs across CPRD raw and CDM data were equivalent. Results between the replication raw data and CDM study agreed for conditions, demographics and lifestyle data with slight NSAID exposure data loss owing to unmapped drugs. Conclusion CPRD can be accurately transformed into the OMOP CDM with acceptable information loss across drugs, conditions and observations. We determined that for a particular use, case CDM structure was adequate and mappings could be improved but did not substantially change the results of our analysis. Key Points A transformation of the Clinical Practice Research Datalink (CPRD) into the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) was performed Quality assessments indicated that source code mappings, Read code domain classification, imputation algorithm for drug duration and special
doi:10.1007/s40264-014-0214-3 pmid:25187016 pmcid:PMC4206771 fatcat:qiwseo4zf5ffhjg5igtthywvoi