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Updated: Feb 7, 2026

Individualized Stem-positioning in Calcar-guided Short-stem Total Hip Arthroplasty
Published on: February 27, 2018
Risk-Based Hospital and Surgeon-Volume Categories for Total Hip Arthroplasty
Jayme C B Koltsov1,2, Robert G Marx2, Emily Bachner2
1Department of Orthopaedic Surgery, Stanford University School of Medicine, Redwood City, California.
Background:
Studies of volume-outcome relationships typically subdivide volume via non-evidence-based methods, producing categories that vary widely among studies, preclude the comparison of results, and possibly obscure the true volume-outcome relationships. The goal of the current study was to use quantitative methods to derive meaningful, risk-based categories for hospital and surgeon total hip arthroplasty (THA) volume based on relationships with mortality, complications, and revision.
Methods:
Using New York statewide patient data (1997 to 2014; n = 187,557), we derived risk-based hospital and surgeon-volume categories for primary THA based on relationships with 90-day complications and mortality and 2-year revision.
Results:
The following categories, based on relationships with complications, mortality, and revision, were derived for surgeon volume: 0 to 12, 13 to 25, 26 to 72, 73 to 165, 166 to 279, and ≥280 THA/year. For hospital volume, the categories derived were 0 to 11, 12 to 54, 55 to 157, 158 to 526, and ≥527 THA/year. More than 35% of THA cases in New York State were conducted by surgeons performing ≤1 THA/month (0 to 12 THA/year), and these were associated with a 2 to 2.5-fold increase in the risk for complications, mortality, and revision relative to higher-volume surgeons. Similarly, 15% of THA cases in New York State were conducted in hospitals performing ≤1 THA/week (0 to 11 or 12 to 54 THA/year), and these were associated with a nearly 1.5-fold increase in complications and between a 4 and 6-fold increase in mortality. Traditional non-evidence-based quartile categories were concentrated at lower volumes, did not capture the full magnitude of the volume-related differences, and were a poorer representation of the outcome data, as assessed by several model metrics. Thus, quartiles showed only a <2-fold increase in complications, mortality, and revision for the lowest versus the highest surgeon-volume quartile and failed to show the increased risk for lower versus higher hospital volumes.
Conclusions:
The volume-outcome relationships in THA are more pronounced than previously apparent through standard statistical techniques. Volume-based strategies for improving outcomes in THA should use benchmarks that are evidence-based to achieve optimal results.
Level Of Evidence:
Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
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