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Research Letter
August 03, 2016

Role of Operative Complexity Variables in Risk Adjustment for Patients With Cancer

Author Affiliations
  • 1Division of Research and Optimal Patient Care, American College of Surgeons, Chicago, Illinois
  • 2Department of Surgery, University of Chicago Hospitals, Chicago, Illinois
  • 3Department of Surgery, University of Wisconsin Carbone Cancer Center, Madison
  • 4Department of Surgery, David Geffen School of Medicine, University of California, Los Angeles
  • 5Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California
  • 6Department of Surgery, Surgical Outcomes and Quality Improvement Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois

Copyright 2016 American Medical Association. All Rights Reserved. Applicable FARS/DFARS Restrictions Apply to Government Use.

JAMA Surg. Published online August 3, 2016. doi:10.1001/jamasurg.2016.2253

The comprehensive capture of relevant details of patients is essential to accurately predict outcomes and benchmark hospital performance.1 Members of the Oncology NSQIP National Cancer Center Collaborative (ONNCC), established in 2011, were concerned that important oncology-related variables were not captured by the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP). The ONNCC began collecting 3 additional case characteristics representing greater operative complexity and risk with the aim to improve patient risk prediction and case-mix adjustment.2

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