Medicare payment data for spine reimbursement; important but flawed data for evaluating utilization of resources.

BACKGROUND

Medicare data showing physician-specific reimbursement for 2012 were recently made public in the mainstream media. Given the ongoing interest in containing healthcare costs, we analyze these data in the context of the delivery of spinal surgery.

METHODS

Demographics of 206 leading surgeons were extracted including state, geographic area, residency training program, fellowship training, and academic affiliation. Using current procedural terminology (CPT) codes, information was evaluated regarding the number of lumbar laminectomies, lumbar fusions, add-on laminectomy levels, and anterior cervical fusions reimbursed by Medicare in 2012.

RESULTS

In 2012 Medicare reimbursed the average neurosurgeon slightly more than an orthopedic surgeon for all procedures ($142,075 vs. $110,920), but this was not found to be statistically significant (P = 0.218). Orthopedic surgeons had a statistical trend illustrating increased reimbursement for lumbar fusions specifically, $1187 versus $1073 (P = 0.07). Fellowship trained spinal surgeons also, on average, received more from Medicare ($125,407 vs. $76,551), but again this was not statistically significant (P = 0.112). A surgeon in private practice, on average, was reimbursed $137,495 while their academic counterparts were reimbursed $103,144 (P = 0.127). Surgeons performing cervical fusions in the Centers for Disease Control West Region did receive statistically significantly less reimbursement for that procedure then those surgeons in other parts of the country (P = 0.015). Surgeons in the West were reimbursed on average $849 for CPT code 22,551 while those in the Midwest received $1475 per procedure.

CONCLUSION

Medicare reimbursement data are fundamentally flawed in determining healthcare expenditure as it shows a bias toward delivery of care in specific patient demographics. However, neurosurgeons, not just policy makers, must take ownership to analyze, investigate, and interpret these data as it will affect healthcare reimbursement and delivery moving forward.