273 Background: Prostate cancer (PCa) is the leading cancer for men in the United States (US) and identified by the Centers for Medicare & Medicaid Services (CMS) as one of the top 20 high-impact Medicare conditions experienced by beneficiaries. Thus, there is increasing focus by stakeholders to measure and achieve high-value, quality care in PCa. However, quality measurement is particularly difficult in oncology. Our aim was to assess the current landscape of PCa quality measures (QMs) in the US. Methods: Published literature and online resources from the past 5 years were reviewed to identify PCa QMs and general oncology QMs relevant to PCa. PCa QMs were categorized using a “continuum of care” framework across 5 stages: 1) symptom assessment and screening; 2) diagnosis and risk stratification; 3) initial treatment; 4) monitoring and additional treatment; and 5) advanced- or late-stage care. Finally, PCa QMs were evaluated for their type (eg. process, outcomes), and use by CMS. Results: We identified 16 PCa-specific QMs and 20 general oncology QMs relevant to PCa. The majority of PCa QMs were developed by the American Medical Association–Physician Consortium for Performance Improvements (6 measures) and the Michigan Urological Surgery Improvement Collaborative (6 measures). There are 3 QMs for symptom assessment and screening, 5 QMs for diagnosis and risk stratification, 6 QMs for initial treatment, 2 QMs for monitoring and additional treatment, and 0 QMs for advanced- or late-stage care. Fourteen PCa QMs focus on process of care, but only 2 PCa QMs address outcomes. Nine PCa QMs are part of CMS quality improvement programs, 6 of which are reportable through the Michigan Urological Surgery Improvement Collaborative. Three new PCa QMs are under consideration by CMS. Conclusions: We found few PCa QMs that capture outcomes of patient experience or care, and no PCa-specific QMs available for advanced disease and late-stage care, demonstrating a need to better define quality in this setting. Opportunities to increase the focus on innovative, real-world data-generation strategies, such as PCa disease registries that collect clinical outcomes, patient preferences, and comorbidities, may inform stakeholder development and adoption of new QMs in the US.