title: Indications for spine surgery: validation of an administrative coding algorithm to classify degenerative diagnoses.
abstract: METHODS
  Retrospective analysis of Medicare claims linked to a multicenter clinical trial.
  
  
  OBJECTIVE
  The Spine Patient Outcomes Research Trial (SPORT) provided a unique opportunity to examine the validity of a claims-based algorithm for grouping patients by surgical indication. SPORT enrolled patients for lumbar disc herniation, spinal stenosis, and degenerative spondylolisthesis. We compared the surgical indication derived from Medicare claims with that provided by SPORT surgeons, the "gold standard."
  
  
  BACKGROUND
  Administrative data are frequently used to report procedure rates, surgical safety outcomes, and costs in the management of spinal surgery. However, the accuracy of using diagnosis codes to classify patients by surgical indication has not been examined.
  
  
  METHODS
  Medicare claims were link to beneficiaries enrolled in SPORT. The sensitivity and specificity of 3 claims-based approaches to group patients on the basis of surgical indications were examined: (1) using the first listed diagnosis; (2) using all diagnoses independently; and (3) using a diagnosis hierarchy on the basis of the support for fusion surgery.
  
  
  RESULTS
  Medicare claims were obtained from 376 SPORT participants, including 21 with disc herniation, 183 with spinal stenosis, and 172 with degenerative spondylolisthesis. The hierarchical coding algorithm was the most accurate approach for classifying patients by surgical indication, with sensitivities of 76.2%, 88.1%, and 84.3% for disc herniation, spinal stenosis, and degenerative spondylolisthesis cohorts, respectively. The specificity was 98.3% for disc herniation, 83.2% for spinal stenosis, and 90.7% for degenerative spondylolisthesis. Misclassifications were primarily due to codes attributing more complex pathology to the case.
  
  
  CONCLUSIONS
  Standardized approaches for using claims data to group patients accurately by surgical indications have widespread interest. We found that a hierarchical coding approach correctly classified more than 90% of spine patients into their respective SPORT cohorts. Therefore, claims data seem to be a reasonably valid approach to classifying patients by surgical indication.
  
  
  METHODS
  3.
authors: *Dartmouth Institute for Health Policy & Clinical Practice, and the Department of Orthopaedic Surgery, Geisel School of Medicine at Dartmouth, Lebanon, NH †Departments of Medicine and Orthopaedics, The Dartmouth Institute, Lebanon, NH ‡Departments of Medicine and Community and Family Medicine, The Dartmouth Institute, Lebanon, NH §Departments of Family Medicine, Medicine, and Public Health & Preventive Medicine, Oregon Health & Science University, Portland, OR ¶Departments of Community and Family Medicine, The Dartmouth Institute, Lebanon, NH ‖Departments of Orthopaedics and Community and Family Medicine, The Dartmouth Institute, Lebanon, NH; and **Department of Orthopaedics, The Dartmouth Institute, Lebanon, NH.
authors: Brook I
authors: BI
authors: Martin
authors: Jon D
authors: JD
authors: Lurie
authors: Anna N A
authors: AN
authors: Tosteson
authors: Richard A
authors: RA
authors: Deyo
authors: Tor D
authors: TD
authors: Tosteson
authors: James N
authors: JN
authors: Weinstein
authors: Sohail K
authors: SK
authors: Mirza
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D059019:Clinical Coding; D005260:Female; D006801:Humans; D008297:Male; D006278:Medicare; D019637:Orthopedic Procedures; D012189:Retrospective Studies; D013122:Spinal Diseases / Q000145:classification* / Q000601:surgery*; D013131:Spine / Q000601:surgery*; D014481:United States