Direct Economic Burden of Cubital Tunnel Surgery in the United States: Total Payments and Components of Cost.

PURPOSE: Despite its widespread prevalence, the cost of cubital tunnel syndrome (CuTS) in the United States to patients and insurers is not well understood. The purpose of this study was to quantify the direct payments associated with operative treatment of CuTS. We hypothesized that CuTS represents a substantial cost to the payer in facility fees, surgeon fees and other expenses.

METHODS

Utilizing the MarketScan database of insured patients (commercial and Medicaid), we identified a cohort of 41,777 patients aged 18-64 years with surgically treated CuTS from 2006 to 2018. We estimated the median 90-day payments from encounters associated with cubital tunnel release (CuTR) and/or ulnar nerve transposition surgery by summing all payments for claims within 90 days after the index surgery. Published estimates of the annual number of cubital tunnel surgeries were used to calculate the annual expenditure.

RESULTS

Of 41,777 patients, the median (interquartile range [IQR]) values of total direct payments were $5,522 [$3,426, $9,541]. With an estimated 94,645 cases/year, this leads to an annual payment of more than $522 million. Index facility payments (median[IQR] $2,555 [$1,359, $4,708] were the highest, followed by index provider payments ($1,691 [$1,328, $2,217]). The median index surgeon payment (median[IQR] $905 [$707, $1,184]) represented just over half of the provider payments. Post-operative care had a median [IQR] payment of $377 ($424, $1,987). Limitations of claims databases prevented assessment of other indirect costs associated with cubital tunnel surgery.

CONCLUSIONS

Payments for the surgical treatment of CuTS from the index surgery to 90 days post-operatively have an estimated median of $5,522 per patient, totaling $52 million annually. Index facility fees are responsible for more than 46% of payments, while index payments to surgeons represent approximately 16%. Defining this data is critical to understanding one component of the economic impact of CuTS.

TYPE OF STUDY/LEVEL OF EVIDENCE: Economic and Decision Analysis IV.