Faculty Bibliography

PURPOSE OF REVIEW/OBJECTIVE:The goal of this review is to assess the use of digital technologies to promote the health and well-being of transgender and gender diverse (TGD) people. RECENT FINDINGS/RESULTS:TGD individuals experience numerous health disparities, including low uptake of HIV prevention strategies, such as pre-exposure prophylaxis, increased HIV incidence, and suboptimal HIV-related outcomes. These health disparities are the result of widespread intersectional stigma on the basis of gender identity, gender expression, socioeconomic class, race, and ethnicity, which negatively impact access to general medical and transgender-specific health care. TGD individuals often delay or avoid essential medical services due to fear of discrimination. Clinicians frequently lack training, competence, and skills in transgender medicine, further exacerbating the health disparities faced by TGD people. Digital technologies have been used to improve research and clinical care for TGD populations through various modalities; telemedicine, telehealth and mHealth. Digital health technologies, including HIT-enabled clinical decision support, telehealth, telemedicine, and mHealth, offer innovative ways to improve health care access, improve quality of care, and reduce health disparities for TGD populations, including and beyond HIV outcomes, through enhanced care delivery, clinician education, and enhancing social support networks.

A geospatial analysis of services that support transgender and gender diverse ("trans") people in New York City (NYC) was conducted to investigate associations with neighborhood-level sociodemographic characteristics. In June 2019, there were 5.3 services for every 100,000 of the general NYC population; controlling for other covariates, they were more commonly located in neighborhoods with larger populations of non-Hispanic Black (rate ratio [RR]=1.02, 95% confidence interval [CI]: 1.00-1.04), Hispanic/Latino (RR=1.03, 95% CI: 1.00-1.06), and gay/lesbian people (RR=1.53, 95% CI: 1.03-2.34). These findings suggest that the distribution of trans-focused services in NYC is proximal to communities that are most in need, but research should examine proximity to trans people specifically and distribution in nonurban areas.

Transgender and non-binary (TGNB) individuals often experience gender dysphoria. TGNB individuals with gender dysphoria may undergo genital gender-affirming surgery including vaginoplasty, phalloplasty, or metoidioplasty so that their genitourinary anatomy is congruent with their experienced gender. Given decreasing social stigma and increasing coverage from private and public payers, there has been a rapid increase in genital gender-affirming surgery in the past few years. As the incidence of genital gender-affirming surgery increases, a concurrent increase in the development and utilization of patient reported outcome measurement tools is critical. To date, there is no systematic way to assess and measure patients' perspectives on their surgeries nor is there a validated measure to capture patient reported outcomes for TGNB individuals undergoing genital gender-affirming surgery. Without a systematic way to assess and measure patients' perspectives on their care, there may be fragmentation of care. This fragmentation may result in challenges to ensure patients' goals are at the forefront of shared- decision making. As we aim to increase access to surgical care for TGNB individuals, it is important to ensure this care is patient-centered and high-quality. The development of patient-reported outcomes for patients undergoing genital gender-affirming surgery is the first step in ensuring high quality patient-centered care. Herein, we discuss the critical need for development of validated patient reported outcome measures for transgender and non-binary patients undergoing genital reconstruction. We also propose a model of patient-engaged patient reported outcome measure development.

BACKGROUND:Commonly used estimated glomerular filtration rate (eGFR) equations include a Black race modifier (BRM) that was incorporated during equation derivation. Race is a social construct, and a poorly characterized variable that is applied inconsistently in clinical settings. The BRM results in higher eGFR for any creatinine concentration, implying fundamental differences in creatinine production or excretion in Black individuals compared to other populations. Equations without inclusion of the BRM have the potential to detect kidney disease earlier in patients at the greatest risk of chronic kidney disease (CKD), but also has the potential to over-diagnose CKD or impact downstream clinical interventions. The purpose of this study was to use an evidence- based approach to systematically evaluate the literature relevant to the performance of the eGFR equations with and without the BRM and to examine the clinical impact of the use or removal. CONTENT/BACKGROUND:PubMed and Embase databases were searched for studies comparing measured GFR to eGFR in racially diverse adult populations using the Modification of Diet in Renal Disease or the 2009-Chronic Kidney Disease Epidemiology Collaboration-creatinine equations based on standardized creatinine measurements. Additionally, we searched for studies comparing clinical use of eGFR calculated with and without the BRM. 8,632 unique publications were identified; an additional 3 studies were added post-hoc. In total, 96 studies were subjected to further analysis and 44 studies were used to make a final assessment. SUMMARY/CONCLUSIONS:There is limited published evidence to support the use of a BRM in eGFR equations.

PURPOSE/UNASSIGNED:Earlier literature has reported on the utility of diagnostic codes and demographic information for identifying transgender patients. We aim to assess which method identifies the most transgender patients utilizing readily available tools from within the electronic health record (EHR). METHODS/UNASSIGNED:(ICD-10) diagnostic codes and demographic data specific to transgender patients from January 2011 to April 2019. RESULTS/UNASSIGNED:Demographic data and ICD-10 codes yielded 1494 individual EHRs with transgender-specific data domains. ICD-10 diagnostic codes alone identified 942 (63.05%) unique EHRs. Demographics alone identified 218 (14.59%) unique EHRs. A total of 334 (22.36%) unique EHRs had both ICD-10 and demographic identifiers. Of those identified by transgender-specific demographic data (552), 294 (53.26%) were trans masculine, 215 (38.95%) were trans feminine, and 43 (7.79%) were nonbinary. Of the 552 demographic-identified transgender patients, 141 (25.86%) were identified by a two-part gender identity demographic question. CONCLUSIONS/UNASSIGNED:ICD-10 diagnostic codes, not demographic data, identified the most transgender patient records, but neither diagnostic codes alone nor demographic data captured the full population. Only 26.36% of the charts identified as transgender patients had both ICD-10 codes and demographic data. We recommend that when identifying transgender populations through EHR domains, a combination of diagnostic codes and demographic data be used. Furthermore, research is needed to optimize disclosure and collection of demographic information for gender minority populations.

BACKGROUND/UNASSIGNED:This article is by a group of trans and nonbinary researchers and experts in the field of trans health who have conducted an analysis of trans health research needs. AIMS/UNASSIGNED:To highlight topics that need further research and to outline key considerations for those conducting research in our field. METHODS/UNASSIGNED:The first author conducted semi-structured interviews with all coauthors, and these were used to create a first draft of this manuscript. This draft was circulated to all authors, with edits made until consensus was reached among the authors. RESULTS/UNASSIGNED:More comprehensive long-term research that centers trans people's experiences is needed on the risks and benefits of gender affirming hormones and surgeries. The trans health research field also needs to have a broader focus beyond medical transition or gender affirmation, including general health and routine healthcare; trans people's lives without, before, and after medical gender affirmation; and sexuality, fertility, and reproductive healthcare needs. More research is also needed on social determinants of health, including ways to make healthcare settings and other environments safer and more supportive; social and legal gender recognition; the needs of trans people who are most marginalized; and the ways in which healing happens within trans communities. The second part of this article highlights key considerations for researchers, the foremost being acknowledging trans community expertise and centering trans community members' input into research design and interpretation of findings, in advisory and/or researcher roles. Ethical considerations include maximizing benefits and minimizing harms (beneficence) and transparency and accountability to trans communities. Finally, we note the importance of conferences, grant funding, working with students, and multidisciplinary teams. DISCUSSION/UNASSIGNED:This article outlines topics and issues needing further consideration to make the field of trans health research more responsive to the needs of trans people. This work is limited by our authorship group being mostly White, all being Anglophone, and residing in the Global North.