Project: FDA Matching Funding Source: Society for Vascular Surgery (prime: Cornell University, FDA U01FD005478-01) Project Dates: 2014 - 2016 Principal Investigator: Philip P. Goodney, MD, MS
The FDA Matching Project is a collaboration between researchers at The Dartmouth Institute for Health Policy and Clinical Practice and the Vascular Quality Initiative (VQI) that generates de-identified datasets of vascular surgery procedures matched with long term outcomes from Medicare claims. These datasets are available to external investigators for research purposes. The FDA Matching Project builds on the success of previous VQI-Medicare matching projects and is funded through a subcontract from the Society for Vascular Surgery (SVS) as part of The Vascular Implant Surveillance and Interventional Outcomes Network (VISION) project led by Dr. Art Sedrakyan out of Cornell University.
Each dataset is comprised of two sets of variables: VQI variables and Medicare-derived variables. All identifiers have been removed and dates have been converted to time-to-event variables. The VQI variables define patient status at the time of surgery, hospitalization, and one year follow-up, when available. The Medicare variables describe hospitalizations and outpatient procedures that occurred subsequent to the index hospitalization through the analytic end date, 12/31/2013. Five Medicare-derived outcomes variables were created from the merged data to facilitate evaluation of long term outcomes: 1) death, 2) adverse outcome (such as stroke, aortic rupture or amputation) 3) readmission to the hospital 90 days after discharge from the index procedure 4) repeat procedure/reintervention, and 5) post-procedure surveillance imaging (CT or ultrasound). Analytic start and end dates for each dataset are 1/1/2003 and 12/31/2013, respectively, To view the procedure specific profile sheet for each dataset, click on the procedure below.