Gender Differences in Medicare Practice and Payments to Neurosurgeons.

Importance: Despite efforts to promote diversity within the neurosurgical workforce, individuals from underrepresented groups face significant challenges. Objective: To compare practice metrics and earning potential between female and male neurosurgeons and investigate factors associated with gender disparity in Medicare reimbursement. Design, Setting, and Participants: This retrospective cross-sectional study used publicly accessible Medicare data on reimbursements to female and male neurosurgeons for procedural and evaluation and management services delivered in both inpatient and outpatient settings between January 1, 2013, and December 31, 2020. Data were analyzed from December 9, 2021, to December 5, 2022. Main Outcomes and Measures: The primary outcome was the mean annual payments received and charges submitted by female and male neurosurgeons for services rendered between 2013 and 2020. Secondary outcomes included the total number and types of services rendered each year and the number of beneficiaries treated. Univariate and multivariable analyses quantified differences in payment, practice volume, and composition. Results: A total of 6052 neurosurgeons (5540 men [91.54%]; 512 women [8.46%]) served the Medicare fee-for-service patient population. Female neurosurgeons billed for lesser Medicare charges (mean [SE], $395 851.62 [$19 449.39] vs $766 006.80 [$11 751.66]; P < .001) and were reimbursed substantially less (mean [SE], $69 520.89 [$2701.30] vs $124 324.64 [$1467.93]; P < .001). Multivariable regression controlling for practice volume metrics revealed a persistent reimbursement gap (-$24 885.29 [95% CI, -$27 964.72 to -$21 805.85]; P < .001). Females were reimbursed $24.61 less per service than males even after matching services by code (P = .02). Conclusions and Relevance: This study found significant gender-based variation in practice patterns and reimbursement among neurosurgeons serving the Medicare fee-for-service population. Female surgeons were reimbursed less than male surgeons when both performed the same primary procedure. Lower mean reimbursement per service may represent divergence in billing and coding practices among females and males that could be the focus of future research or educational initiatives.

Effort Foraging Task reveals positive correlation between individual differences in the cost of cognitive and physical effort in humans.

Effort-based decisions, in which people weigh potential future rewards against effort costs required to achieve those rewards involve both cognitive and physical effort, though the mechanistic relationship between them is not yet understood. Here, we use an individual differences approach to isolate and measure the computational processes underlying effort-based decisions and test the association between cognitive and physical domains. Patch foraging is an ecologically valid reward rate maximization problem with well-developed theoretical tools. We developed the Effort Foraging Task, which embedded cognitive or physical effort into patch foraging, to quantify the cost of both cognitive and physical effort indirectly, by their effects on foraging choices. Participants chose between harvesting a depleting patch, or traveling to a new patch that was costly in time and effort. Participants' exit thresholds (reflecting the reward they expected to receive by harvesting when they chose to travel to a new patch) were sensitive to cognitive and physical effort demands, allowing us to quantify the perceived effort cost in monetary terms. The indirect sequential choice style revealed effort-seeking behavior in a minority of participants (preferring high over low effort) that has apparently been missed by many previous approaches. Individual differences in cognitive and physical effort costs were positively correlated, suggesting that these are perceived and processed in common. We used canonical correlation analysis to probe the relationship of task measures to self-reported affect and motivation, and found correlations of cognitive effort with anxiety, cognitive function, behavioral activation, and self-efficacy, but no similar correlations with physical effort.