Chapter 199 - Vascular registry Flashcards
MDR-OK model
Mergeable data Data set standardization Rules for data collection Observation over time Knowledge of outcomes
Levels of evidence
1) Systematic meta-analysis of RCT 2) individual RCTs 3) cohort 4) case-control 5) cross-sectional 6) case series 7) expert opinion Higher level = less bias, less generalizable, increase cost
Internal validity
Confidence that a study’s results are free from bias and therefore reflect true difference
External validity
Degree to which study’s conclusions can be generalized to broader population
Completeness
Measure of extent to which all data eligible have been included
Accuracy
Degree to which registered data conform to reality or gold standard
Hierarchy of data registry
Level 1: simple demographic, date of procedure, Dx, type of procedure, medical device info, surgeon, hospital Level 2: patient clinical characteristic, surgical technique, intraoperative events/processes Level 3: clinical and functional outcome, economic data Level 4: radiographic assessments
Key points in evaluating registry-based article
1) Generalizability 2) relevance 3) quality 4) meaningful outcome 5) follow-up 6) characterization of comparison group
Vascular quality initiative (VQI)
1) sponsored by SVS 2) largest vascular registry 4) 300,000 cases 5) > 370 centres 6) > 2500 providers Entered by individual participants
National surgical quality improvement program (NSQIP)
1) operated by american college of surgeons 2) hospital collects 100% of procedures by subset of codes 3) only 30 d after surgery data is collected
National veterans administration surgical quality improvement program (VASQIP)
prototype for NSQIP
Vascunet
International registry by ESVS Each country operate own registry
National cardiovascular data registry (NCDR)
American college of cardiology Has PVI for lower extremity procedures
Cohort case-control and cross sectional in registry
Current registry overview
