Objective: Derive data that large healthcare organizations can combine with data on risks of adverse events and cost data to conduct cost-effectiveness / cost-benefit analyses for pre-emptive pharmacogenomics testing
Rationale: Very few studies have been conducted that report on the potential return on investment for pre-emptive pharmacogenomics testing. The studies that have been published suggest that pre-emptive pharmacogenomics testing may produce a return on investment but much depends on if a sufficient number of drugs with pharmacogenes are covered by a single test. Since the current data are limited to relatively localized settings and might not be of generalizable use to other health organizations, it's of interest to implement a new study using the OHDSI research network.
Project Lead(s): Richard D. Boyce, Matthias Samwald
Coordinating Institution(s): University of Pittsburgh, Medical University of Vienna, Columbia University, Regenstrief Institute, Janssen R&D, AstraZeneca
Additional Participants (currently seeking other collaborators): Patrick Ryan, Jon Duke, George Hripcsak, Abraham G. Hartzema, Christian Reich, Dan Malone
Full Protocol: Google doc for the protocol
Initial Proposal Date: 2/16/2015
Launch Date: This was a test research network study and has met its objectives as of 12/1/2016.
Study Closure Date: <fill out once finalized>
Results Submission: <method of sumission, eg. Email or SFTP>
CDM: V4 or V5
Table Accessed: DRUG_EXPOSURE, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, PERSON
Database Dialects: SQL Server, Postgres, Oracle
Software: SQL and R