Association of Work Measures and Specialty With Assigned Work Relative Value Units Among Surgeons

Christopher P Childers 1 2, Jill Q Dworsky 1 2, Marcia M Russell 1 3, Melinda Maggard-Gibbons 1

Affiliations

PMID: 31314063
PMCID: PMC6647362
DOI: 10.1001/jamasurg.2019.2295

Free PMC article

Abstract

Importance: The primary data sources used to generate and update work relative value units (RVUs) are surveys of small groups of specialists who are asked to estimate the time and intensity needed to perform surgical procedures. Because these surveys are conducted by specialty societies and rely on subjective data, these sources have been challenged as potentially biased.

Objective: To assess whether objective work measures are associated with a surgical procedure's assigned work RVUs and whether differences exist by surgical specialty.

Design, setting, and participants: This cross-sectional study obtained data from the 2016 and 2017 participant use files of the American College of Surgeons National Surgical Quality Improvement Program. The 2017 physician fee schedule of the Centers for Medicare & Medicaid Services was a secondary data source. Procedures were included if they had at least 100 patient-level observations over the 2-year period. Data were analyzed from August 29, 2018, to April 2, 2019.

Main outcomes and measures: The dependent variable was a procedure's assigned work RVU. Independent variables of work RVUs were 4 procedure-level work measures (median operative time, median postoperative length of stay, all-cause 30-day readmission rate, and all-cause 30-day reoperation rate) and surgeon specialty (10-level category using general surgery as the reference).

Results: The data set included 628 unique Current Procedural Terminology (CPT) codes and 726 CPT-specialty combinations from 1 239 991 patient observations. Statistically significant associations were found between each work measure and assigned work RVU, as follows: median operative time (R2 = 0.74; 95% CI, 0.71-0.78), postoperative length of stay (R2 = 0.42; 95% CI, 0.36-0.48), rate of readmission (R2 = 0.18; 95% CI, 0.13-0.23), and rate of reoperation (R2 = 0.15; 95% CI, 0.10-0.20). Including all 4 measures explained 80.2% (95% CI, 77.3%-83.1%) of the variation. Adding the surgical specialty improved the overall fit of the model (likelihood ratio test χ2 = 231.27; P < .001). Cardiac (7.78; 95% CI, 4.25-11.31; P < .001) and neurosurgery (2.46; 95% CI, 1.08-3.83; P < .001) had higher work RVUs compared with general surgery, whereas orthopedics (-1.53; 95% CI, -2.48 to -0.59; P = .002), urology (-1.58; 95% CI, -2.88 to -0.29; P = .02), plastics (-2.70; 95% CI, -4.39 to -1.01; P = .002), and otolaryngology (-3.05; 95% CI, -4.69 to -1.42; P < .001) had lower work RVUs compared with general surgery.

Conclusions and relevance: Objective work measures appeared to be associated with assigned work RVUs, predominantly with operative time; registry data can be used to augment and inform the generation and updating processes of the work RVUs.

Conflict of interest statement

Conflict of Interest Disclosures: Dr Childers was funded by grant F32HS025079 from the Agency for Healthcare Research and Quality (AHRQ) during the conduct of the study. No other disclosures were reported.