Travel distance and national access to gender-affirming surgery.

BACKGROUND: Gender-affirming surgery is unequally distributed across the United States due to resource allocation, state-based regulations, and the availability of trained physicians. Many individuals seeking gender-affirming surgery travel vast distances to receive care. This study aims to quantify the distances that individuals travel to receive gender-affirming surgery based on procedure type and patient home-of-record location. METHODS: Patients in the Optum Clinformatics Data Mart who underwent gender-affirming surgery were identified via Current Procedural Terminology codes. Data on patient demographics, procedural care, and location of patient and provider were collected. To be included, a patient had to meet diagnostic criteria to receive gender-affirming surgery and have a recorded surgical procedure reimbursed as part of gender-affirming surgery per the Centers for Medicare and Medicaid Services guidelines. Patients residing or receiving care outside the continental United States were excluded. Distances between the ZIP Code of each patient's home of record and the location where the gender-affirming surgery was performed were calculated via the Google Maps Distance Matrix API. Distance traveled for gender-affirming surgery by patient state and gender-affirming surgery procedure were determined. Multivariate linear regression analysis determined predictors of distance traveled for gender-affirming surgery, whereas multivariate logistic regression identified variables associated with an increased likelihood of out-of-state travel to gender-affirming surgery. RESULTS: Across 86 million longitudinal patient records, the study population included 2,743 records corresponding to 1,735 patients who received gender-affirming surgery between January 2003 and June 2020. The median distance traveled for gender-affirming surgery was 191 miles (mean: 391.5), and 36.0% of patients traveled out of their state of residence. Every patient from West Virginia, Wyoming, South Dakota, Mississippi, and Delaware traveled out of state for gender-affirming surgery. Patients with homes of record in California (18.4%), Massachusetts (20.7%), and Oregon (19.0%) were the least likely to travel out-of-state for gender-affirming surgery out of states with more than 10 gender-affirming surgery encounters. The main predictors for out-of-state travel included both feminizing and masculinizing genital surgery, as well as an insurance coverage with increased provider options. Additionally, patients traveled shorter distances for gender-affirming surgery after the post-2014 Affordable Care Act expansion compared to pre-2014. CONCLUSION: Patients receiving gender-affirming surgery in the United States travel great distances for their care, often receiving their care from out-of-state providers. Restrictive guidelines imposed by state laws on both the access to and provision of gender-affirming surgery compound the myriad of common difficulties that patients face. It is imperative to discuss potential factors that may mitigate these barriers for those who require gender-affirming surgery.

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.