Predicting Peak Productivity in Urologic Medicare Practice via Work-Relative Value Units

Urology. 2024 Apr 20:S0090-4295(24)00283-8. doi: 10.1016/j.urology.2024.03.037. Online ahead of print.

Abstract

Objective: To explore factors associated with productivity in urologic practice. Work-relative value units (wRVUs), the basis for Center for Medicare & Medicaid Services (CMS) and private payer reimbursements, commonly serve to estimate physician productivity. Limited data describes which practice factors predict increased wRVU productivity.

Methods: The 2017 and 2018 CMS databases were retrospectively queried for urologic Medicare provider demographics and procedural/service details. Medical school graduation year was used to estimate years in practice and generation (Millennial, Gen X, Baby Boomer, or Post-War). Treated patients' demographics were obtained. Adjusted and unadjusted linear mixed models were performed to predict wRVU production.

Results: Included were 6773 Medicare-participating urologists across the United States. Millennials produced 1115 wRVUs per year, while Gen X and Baby Boomers produced significantly more (1997 and 2104, respectively, P <.01). Post-War urologists produced numerically more (1287, P = .88). In adjusted analyses, predictors of Medicare wRVU productivity included female and pelvic medicine and reconstructive surgery (exponentiated beta estimate (β) 1.46, 95% CI 1.32-1.60), men's health (β 1.22, 95% CI 1.13-1.32), and oncologic subspecialization (β 1.08, 95% CI 1.02-1.14), female gender (β 0.87, 95% CI 0.82-0.92), wRVUs generated from inpatient procedures (β 1.08, 95% CI 1.06-1.09) and office visits (β 0.88, 95% CI 0.87-0.89), and the level of education (β 1.10, 95% CI 1.07-1.14) and percent impoverished patients (β 0.85, 95% CI 0.83-0.88) in provider's practice zip code.

Conclusion: Urologic experience, specialization, demographics, practice patterns, and patient demographics are significantly associated with wRVU productivity in Medicare settings. Further work should incorporate quality metrics into wRVUs and ensure patient demographics do not affect reimbursement.