Describing the Medical Needs of Hawai'i's Houseless Population During COVID at Free Student Run Outpatient Clinics (Hawai'i HOME Project).

Hawai'i experiences some of the highest rates of houselessness per capita in the country. COVID-19 has exacerbated these disparities and made it difficult for these individuals to seek medical care. Hawai'i's Houseless Outreach in Medical Education (HOME) clinic is the largest student run free clinic in the state, which provides medical services to this patient population. This article reports the demographics, medical needs, and services provided to patients of Hawai'i's HOME clinic during the era of COVID-19. From September 2020 to 2021, the HOME clinic saw 1198 unique visits with 526 distinct patients. The most common chief complaints included wound care (42.4%), pain (26.9%), and skin complaints (15.7%). A large portion of the population suffered from comorbidities including elevated blood pressure (66%), a formal reported history of hypertension (30.6%), diabetes (11.6%), and psychiatric concerns including schizophrenia (5.2%) and generalized anxiety (5.1%). Additionally, a large portion of patients (57.2%) were substance users including 17.8% of patients endorsing use of alcohol, 48.5% tobacco and 12.5% marijuana. The most common services provided were dispensation of medication (58.7%), wound cleaning/dressing changes (30.7%), and alcohol or other drug cessation counseling (25.2%). This study emphasizes that the houseless are a diverse population with complex, evolving medical needs and a high prevalence of chronic diseases and comorbidities.

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.