Disparity in Medicare Reimbursement Between Female and Male Vitreoretinal Surgeons.

Purpose: To quantify the Medicare reimbursement disparity between female and male vitreoretinal surgeons. Methods: Reimbursement reports were obtained from the US Center for Medicare and Medicaid Services from 2013 through 2020, which detail all Medicare Part B services. A vitreoretinal surgeon was defined as any provider with at least 10 charges of a Healthcare Common Procedure Coding System code related to vitrectomy or retinal detachment repair. Providers were grouped by sex, and the average total reimbursement rate and additional secondary statistics to quantify the reimbursement disparity were identified. Results: On average, female vitreoretinal surgeons were reimbursed 65% that of their male counterparts in 2020, $1.66 million to $2.56 million. The percentage of the average male vitreoretinal specialist's total reimbursement that the average female vitreoretinal specialist received decreased 8.8% from 2013 to 2020, from 73.8% to 65.0%. Conclusions: The reimbursement that the average female vitreoretinal surgeon receives from Medicare is only two thirds that of the average male vitreoretinal surgeon. In addition, there was no identifiable improvement in this disparity over the study period. Further efforts must be taken to establish concerted efforts to improve the reimbursement disparity and to identify the systematic inequities that led to its presence in the first place.

Analysis of Health Trajectories Leading to Adverse Opioid-Related Events.

Identifying patient risk factors leading to adverse opioid-related events (AOEs) may enable targeted risk-based interventions, uncover potential causal mechanisms, and enhance prognosis. In this article, we aim to discover patient diagnosis, procedure, and medication event trajectories associated with AOEs using large-scale data mining methods. The individual temporally preceding factors associated with the highest relative risk (RR) for AOEs were opioid withdrawal therapy agents, toxic encephalopathy, problems related to housing and economic circumstances, and unspecified viral hepatitis, with RR of 33.4, 26.1, 19.9, and 18.7, respectively. Patient cohorts with a socioeconomic or mental health code had a larger RR for over 75% of all identified trajectories compared to the average population. By analyzing health trajectories leading to AOEs, we discover novel, temporally-connected combinations of diagnoses and health service events that significantly increase risk of AOEs, including natural histories marked by socioeconomic and mental health diagnoses.