Unveiling the Hidden Discrepancies Between Medicare Physician Reimbursement Rates and Inflation Across Different Surgical Specialties.

OBJECTIVE: This study aimed to analyze the trends of Medicare physician reimbursement from 2011 to 2021 and compare the rates across different surgical specialties. BACKGROUND: Knowledge of Medicare is essential because of its significant contribution in physician reimbursements. Previous studies across surgical specialties have demonstrated that Medicare, despite keeping up with inflation in some areas, has remained flat when accounting for physician reimbursement. STUDY DESIGN: The Physician/Supplier Procedure Summary data for the calendar year 2021 were queried to extract the top 50% of Current Procedural Terminology codes based on case volume. The Physician Fee Schedule look-up tool was accessed, and the physician reimbursement fee was abstracted. Weighted mean reimbursement was adjusted for inflation. Growth rate and compound annual growth rate were calculated. Projection of future inflation and reimbursement rates were also calculated using the US Bureau of Labor Statistics. RESULTS: After adjusting for inflation, the weighted mean reimbursement across surgical specialties decreased by -22.5%. The largest reimbursement decrease was within the field of general surgery (-33.3%), followed by otolaryngology (-31.5%), vascular surgery (-23.3%), and plastic surgery (-22.8%). There was a significant decrease in median case volume across all specialties between 2011 and 2021 (P < 0.001). CONCLUSIONS: This study demonstrated that, when adjusted for inflation, over the study period, there has been a consistent decrease in reimbursement for all specialties analyzed. Awareness of the current downward trends in Medicare physician reimbursement should be a priority for all surgeons, as means of advocating for compensation and to maintain surgical care feasible and accessible to all patients.

From Risk Assessment to Intervention: A Systematic Review of Thrombosis in Plastic Surgery.

Thromboembolism is a feared complication in plastic surgery and is linked to higher rates of morbidity and mortality. Despite extensive research, there is a lack of consistency between recommendations and clinical protocols to be implemented pre and post-surgery to reduce the incidence of thromboembolism. A systematic literature review was conducted using Pubmed and Scopus databases to determine the risk factors, screening methods, and existing treatment models for thromboembolism prevention. Articles in non-English languages were excluded. Analysis indicated that predominant risk factors include age (>35), elevated body mass index, coagulation disorders, smoking, estrogen therapies, genetic predisposition, vascular endothelium damage, stasis, and use of general anesthesia in patients with a history of cancer. Implementation of a proper prophylactic protocol is dependent on understanding the interplay between the aforementioned risk factors and the utilization of well-defined, evidence-based guidelines, such as the 2005 Caprini Risk Assessment Model and ultrasound surveillance. The literature review revealed that mechanical prophylaxis is the primary prevention method, followed by thromboprophylaxis for patients with higher Caprini scores. Plastic surgeons often underestimate the present risk stratification tools available for the prophylactic intervention of thromboembolism due to the fear of bleeding or hematoma complications postoperatively. In summary, this literature review emphasizes the importance of plastic surgeons selecting protocols that is inclusive of the patient's risk profile to yield a reduced risk of thromboembolism.

Racial Disparities in Postoperative Breast Reconstruction Outcomes: A National Analysis.

BACKGROUND: Studies have shown that Black patients are more likely to experience complications following breast reconstruction compared to other racial groups. Most of these studies have been conducted on patient populations focusing on either autologous or implant-based reconstruction without possible predictive indicators for complication disparities for all types of reconstruction procedures. The aim of this study is to elucidate disparities among patient demographics by identifying predictors of complications and postoperative outcomes among different racial/ethnic patients undergoing breast reconstruction utilizing multi-state, multi-institution, and national level data. METHODS: Patients in the Optum Clinformatics Data Mart that underwent all billable forms of breast reconstruction were identified via CPT codes. Demographics, medical history, and postoperative outcome data were collected by querying relevant reports of CPT, ICD-9, and ICD-10 codes. Outcomes analysis was limited to the 90-day global postoperative period. A multivariable logistic-regression analysis was performed to ascertain the effects of age, patient reported ethnicity, coexisting conditions, and reconstruction type on the likelihood of any common postoperative complication occurring. Linearity of the continuous variables with respect to the logit of the dependent variable was confirmed. Odds ratios and corresponding 95% confidence intervals were calculated. RESULTS: From over 86 million longitudinal patient records, our study population included 104,714 encounters for 57,468 patients who had undergone breast reconstruction between January 2003 and June 2019. Black race (relative to White), autologous reconstruction, hypertension, type II diabetes mellitus, and tobacco use were independent predictors of increased likelihood of complication. Specifically, the odds ratios for complication occurrence for Black, Hispanic, and Asian ethnicity (relative to White) were 1.09, 1.03, and 0.77, respectively. Black patients had an overall breast reconstruction complication rate of 20.4%, while the corresponding rate for White, Hispanic, and Asian patients were 17.0%, 17.9%, and 13.2%, respectively. CONCLUSION: Our analysis of a national-level database shows that Black patients undergoing implant-based or autologous reconstruction have increased risk of complications, likely due to multifactorial components that play a role in the care of this patient population. While higher rates of comorbidities have been cited as a possible cause, providers must consider racial influences involving cultural context, historical mistrust in medicine, and physician/health institution factors that may drive this disparity of outcomes among our patients.