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Indications for spine surgery: validation of an administrative coding algorithm to classify degenerative diagnoses.
Brook I Martin1, Jon D Lurie, Anna N A Tosteson
1*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.
A hierarchical coding approach accurately classified over 90% of spine surgery patients by indication using Medicare claims. This method validates administrative data for surgical indication grouping in spinal surgery research.
Area of Science:
- Spine Surgery
- Health Services Research
- Medical Informatics
Background:
- Administrative data, including Medicare claims, are crucial for analyzing spinal surgery outcomes and costs.
- The accuracy of using diagnosis codes to categorize patients by surgical indication has not been thoroughly evaluated.
Purpose of the Study:
- To assess the validity of a claims-based algorithm for grouping patients by surgical indication.
- To compare Medicare claims data with surgeon-provided indications in the Spine Patient Outcomes Research Trial (SPORT).
Main Methods:
- Retrospective analysis of Medicare claims linked to 376 SPORT participants.
- Evaluation of three claims-based methods: first diagnosis, all diagnoses, and a hierarchical diagnosis approach.
Main Results:
- The hierarchical coding algorithm demonstrated the highest accuracy in classifying surgical indications.
- Sensitivities ranged from 76.2% to 88.1%, and specificities ranged from 83.2% to 98.3% across different spinal conditions.
- Misclassifications were mainly due to codes indicating more complex pathologies than present.
Conclusions:
- A hierarchical coding approach using Medicare claims can accurately classify over 90% of spine patients into their respective surgical indication cohorts.
- Claims data represent a reasonably valid method for classifying patients by surgical indication in spinal surgery.
