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Home / Data Analysis & Research / SVS VQI Vision

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About SVS VQI Vision
Dataset Description
Coding algorithms
LEAF
Peer Reviewed Publications
Other Articles
Related Topics

svs vqi vision

The SVS VQI Vascular Implant Surveillance and Interventional Outcomes Network (VISION) is a partnership between the SVS VQI and MDEpiNet that directly supports the mission of the SVS VQI to improve the quality, safety, effectiveness and cost of vascular healthcare by collecting and exchanging information. VISION links SVS VQI registry data to Medicare claims to generate novel registry-claims linked datasets. The datasets combine the clinical detail from the SVS VQI with long-term outcome variables derived from Medicare claims. VISION data is used to generate center-specific feedback reports called, Survival, Reintervention and Surveillance (SRS) and to analyze device performance and long-term outcomes of vascular surgical techniques. Use of the data is governed by a Data Use Agreement (DUA) between Weill Cornell Medical College and the Center for Medicaid and Medicare Services (CMS).

Medicare-match datasets are available for some datasets on a limited basis – please read the overview and dataset details here before you request these datasets to ensure that the data will benefit your study. The Medicare-match data are provided under a separate Data Use Agreement through Weill Cornell and there is a 3 – 6 month further lead time, once the project is approved.

Dataset Description

Medicare-Match data are available for EVAR, OAAA, PVI, TEVAR, CAS, INFRA and SUPRA datasets. For each dataset, the following SVS VQI-Medicare derived outcomes are available:

  1. Death
  2. Procedure-specific adverse outcome (stroke, aortic rupture, amputation)
  3. Reintervention (repeated vascular procedures)
  4. Readmission
  5. Post-procedure imaging
  6. Cost

For more details on how VISION datasets are generated, and how to use VISION data, please refer to the following supplemental materials:

Coding Algorithms

The VISION team uses a list of CPT, ICD9 and ICD10 codes to link index procedures in the VQI and identify late outcomes in Medicare. For more information on these algorithms and the methodology, please contact the VISION team using the contact information provided below:

Long-term EVAR Assessment and Follow-Up (LEAF) Surveillance Protocol

Coming soon.

Peer-reviewed publications (selected)

For more information or to request a current copy of the variable dictionary, please contact the VISION Team.

Philip Goodney: VISION Principal Investigator, Philip.P.Goodney@hitchcock.org

SVS VQI MEDICARE MATCHED BLINDED DATASETS

Medicare-match datasets are available for some datasets on a limited basis – please read the overview and dataset details here before you request these datasets to ensure that the data will benefit your study. The Medicare-match data are provided under a separate Data Use Agreement through Weill Cornell and there is a 3 – 6 month further lead time, once the project is approved.

data analysis & research

SVS VQI physicians may request de-identified datasets from each SVS VQI registry for analysis. The SVS PSO Arterial Research Advisory Council (RAC) reviews and evaluates requests for datasets by investigators, who provide the RAC with a description of their proposed project.

Proposals are evaluated by the Arterial Research Advisory Council every other, and the Venous Research Advisory Council in the other months.

If investigators receive approval for their projects, the investigators then use the dataset(s) to support presentations and publications, based on SVS VQI data. This Search function is designed to assist investigators before submitting new dataset requests to the National Research Advisory Committee (RAC). In particular, the Search results will provide past Project ID, Submission Period, Date Range, Project Title, PI and Research Question.

SVS VQI data analysis guidelines

In order to ensure protection of de-identified datasets and fair access for members, investigators should familiarize themselves with the SVS PSO guidelines and policies on use, listed below.

SVS VQI Publications

There have been over 600 published articles using SVS VQI data, please. See below for the latest list of publications.