Use of a Common Data Model to Meaningfully Compare Treatment Patterns among Disparate Databases

 

Use of a Common Data Model to Meaningfully Compare Treatment Patterns among Disparate Databases

Use of a Common Data Model (CDM) to standardize data format and assumptions facilitates consistent and efficient application of research methods across disparate data sources, producing meaningfully comparable results. This study compared treatment patterns for patients diagnosed with depression in 2008‐09 across multiple observational databases, after all source data was transformed into a CDM format.