
The Use of Older Versus Newer Data in the National Surgical Quality Improvement Program Database Influences the Results of Total Hip Arthroplasty Outcomes Studies
Author(s) -
Blake N. Shultz,
Anoop R. Galivanche,
Taylor D. Ottesen,
Patawut Bovonratwet,
Jonathan N. Grauer
Publication year - 2019
Publication title -
journal of the american academy of orthopaedic surgeons. global research and reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.343
H-Index - 111
ISSN - 2474-7661
DOI - 10.5435/jaaosglobal-d-19-00108
Subject(s) - medicine , perioperative , poisson regression , multivariate analysis , population , pulmonary embolism , arthroplasty , multivariate statistics , deep vein , database , thrombosis , surgery , environmental health , computer science , statistics , mathematics
National databases, such as the National Surgical Quality Improvement Program (NSQIP) database, are frequently used for total hip arthroplasty (THA) studies. NSQIP variables and the population included in the database have evolved over time. These changes may influence the results of studies using different periods of data.