Faculty Bibliography

Members of the lesbian, gay, bisexual, transgender, and queer (LGBTQ) community experience marginalization, bias, and discrimination, including in the world of academic medicine. People who are transgender and gender non-binary (TGNB) experience further marginalization compared to individuals who are lesbian, gay, bisexual, and queer. According to a recent survey, more than half of medical students who are TGNB chose not to disclose their gender identities during training due to fears of discrimination, feeling a lack of support, and concerns about future career options. Academic medicine has historically pathologized TGNB individuals, perpetuating discrimination structurally and reinforcing discriminatory behaviors in peers and faculty. In this Perspective, the authors provide a comprehensive overview of the challenges that administrators and educators face in creating a learning environment that is inclusive of TGNB trainees. They outline opportunities for change and provide strategies to address administrative and educational challenges, including those related to institutional climate, policies, data collection, physical spaces, health care, the curriculum, mentoring, and the evaluation of TGNB trainees. Finally, the authors issue a call to action for medical educators and administrators to create environments in which trainees who are TGNB can fulfill their primary mission: to learn the practice of medicine.

BACKGROUND:Patients with aortic stenosis are nearly twice as likely to have a diagnosis of gout compared with individuals without aortic valve disease. METHODS:, and/or decrease in left ventricular ejection fraction due to aortic stenosis. RESULTS:/year [-0.16, -0.01], p=0.09); annualized change in peak velocity and mean gradient did not differ between groups. CONCLUSIONS:Progression to severe aortic stenosis was more frequent in patients with gout versus those without gout supporting the hypothesis that gout is a risk factor for aortic stenosis.

Racial minorities experience a high burden of food insecurity relative to non-Hispanic whites. Government-subsidized nutrition programs can positively impact food insecurity and nutritional risk among older adults. Yet, in New York City, where nearly 60% of people over 65 years are non-white, older minorities participate in government nutrition programs at very low rates. In this commentary, we focus on 2 programs: the Child and Adult Care Food Program and Older Americans Act Nutrition Services Programs. We identify opportunities for strengthening these programs to improve their reach and engagement with diverse older adults in New York City and similarly diverse urban communities.

BACKGROUND:While several studies have assessed the associations between biological factors and tuberculosis (TB) transmission, our understanding of the associations between TB transmission and social and economic factors remains incomplete. We aimed to explore associations between community TB transmission and socio-economic factors within a high TB-HIV burdened setting. METHODS:We conducted a cross-sectional molecular epidemiology study among adult patients attending a routine TB clinic. Demographic and clinical data were extracted from TB registers and clinical folders; social and economic data were collected using interviewer-administered questionnaires; Mycobacterium tuberculosis isolates were genotyped and classified as clustered/non-clustered using IS6110-based Restriction Fragment Length Polymorphism. Composite "social" and "economic" scores were generated from social and economic data. Data were analyzed using StataCorp version 15.0 software. Stratified, bivariable analyses were performed using chi-squared. Wilcoxon signed rank tests; univariable and multivariable logistic regression models were developed to explore associations in the social, economic, traditional and composite TB risk factors with TB transmission. RESULTS:Of the 505 patient Mtb  strains, 348(69%) cases were classified as clustered and 157(31%) were non-clustered. Clustered cases were more likely to have lived longer in the study community, (odds ratio [OR] = 1.05, 95% Confidence interval [C.I]:1.02-1.09, p = 0.006); in the same house (OR = 1.04, C.I: 0.99-1.08, p = 0.06); and had increased household crowding conditions (i.e fewer rooms used for sleeping, OR = 0.45, C.I:0.21-0.95, p = 0.04). Although a higher proportion of clustered cases had a low economic score, no statistically significant association was found between clustering and either the economic score (p = 0.13) or social score (p = 0.26). CONCLUSIONS:We report a novel association between Mtb transmission and prolonged stay within a high burdened community. Transmission was also associated with fewer rooms for sleeping in a household. Increased social interaction and prolonged residence in a high burdened community are important factors linked to Mtb transmission, possibly due to increased probability of higher effective contact rates. The possible importance of degrees of poverty within low socio-economic setting warrants further study.

An Amendment to this paper has been published and can be accessed via a link at the top of the paper.

Colorectal cancer (CRC) screening has increased substantially in New York City in recent years. However, screening uptake measured by telephone surveys may not fully capture rates among underserved populations. We measured screening completion within one year of a primary care visit among previously unscreened patients in a large urban safety-net hospital and identified sociodemographic and health-related predictors of screening. We identified 21,256 patients aged 50-75 who were seen by primary care providers (PCPs) in 2014, of whom 14,425 (67.9%) were not up-to-date with screening. Since PCPs facilitate the majority of screening, we compared patients who received screening within one year of an initial PCP visit to those who remained unscreened using multivariable logistic regression. Among patients not up-to-date with screening at study outset, 11.5% (1,658 patients) completed screening within one year of a PCP visit. Asian race, more PCP visits, and higher area-level income were associated with higher screening completion. Factors associated with remaining unscreened included morbid obesity, ever smoking, Elixhauser comorbidity index of 0, and having Medicaid/Medicare insurance. Age, sex, language, and travel time to the hospital were not associated with screening status. Overall, 39.9% of patients were up-to-date with screening by 2015. In an underserved urban population, CRC screening disparities remain, and overall screening uptake was low. Since more PCP visits were associated with modestly higher screening completion at one year, additional community-level education and outreach may be crucial to increase CRC screening in underserved populations.