BACKGROUND:Prevalent and incident heart failure (HF) and its comorbidities have not been characterized in transgender and gender-diverse (TGD) populations. This study determines the prevalence and incidence of HF phenotypes by gender identity. METHODS:A retrospective cohort analysis was performed using deidentified administrative claims from the Optum Labs Data Warehouse (2006-2022). TGD adults and a sample of demographically similar cisgender comparators were identified using a validated algorithm, and gender identity was categorized as cisgender man, cisgender woman, transmasculine, transfeminine, or unclassified TGD. Prevalent and incident HF, including systolic, diastolic, and unclassified phenotypes, were assessed using diagnosis codes. Multivariable logistic and Cox regression models adjusted for age and comorbidities evaluated associations between gender identity and HF. RESULTS:In this cohort of 57 471 TGD individuals and 298 213 demographically similar cisgender comparators, 17 898 TGD people (31.1%) were transmasculine, 9652 (16.8%) were transfeminine, and 29 921 (52.1%) had unclassified TGD identity. In adjusted models, transmasculine people experienced less prevalent systolic HF than cisgender men (odds ratio, 0.37 [98.75% CI, 0.17-0.83]) and women (odds ratio, 0.42 [98.75% CI, 0.19-0.92]). Transmasculine people experienced less incident diastolic HF relative to cisgender men (hazard ratio [HR], 0.65 [98.75% CI, 0.51-0.82]) and women (HR, 0.66 [98.75% CI, 0.52-0.83]). Transfeminine people experienced more incident diastolic HF than cisgender men (HR, 1.36 [98.75% CI, 1.05-1.77]) and women (HR, 1.38 [98.75% CI, 1.07-1.79]). CONCLUSIONS:Prevalent systolic HF and incident diastolic HF differed by gender identity after adjustment for age and clinical comorbidities. Further research is needed to identify underrecognized sex- and gender-based HF risk modifiers.

Interventions that leverage telehealth technologies have the potential to improve health outcomes among people with HIV who experience multiple complex barriers to care. To assess the current state of knowledge on telehealth interventions for people with HIV in the United States, we searched the literature for recent (2019-2023) telehealth interventions designed to improve outcomes along the HIV care continuum, including linkage to care, retention in care, antiretroviral therapy adherence, and viral suppression. Our search identified 23 interventions. Text messaging was the most common telehealth delivery mode, followed by videoconferencing, commercially available applications, and novel applications. Nine interventions used more than one delivery mode. Common features across interventions to address barriers along the HIV care continuum included: HIV care self-management and monitoring tools; HIV treatment and adherence education; resources and referrals provision; live messaging for ongoing support or urgent issues; videoconference-based coaching, counseling, case management, or care; online peer-to-peer support; ecological momentary assessments to monitor and address barriers; and game-based elements to increase engagement. Interventions were reported as acceptable and feasible, with several showing an effect on antiretroviral therapy adherence. Further research is needed to fully leverage the potential of telehealth for ending the HIV epidemic in the United States.

Objectives: The aim of this study was to assess HIV preexposure prophylaxis (PrEP) provision in U.S. health centers. Design: The U.S. Ending the HIV Epidemic (EHE) initiative designated health centers as the main healthcare system through which PrEP scale-up occurs. Health centers offer primary care to over 30 million disproportionately uninsured, racially or ethnically minoritized, and low-income patients. This study is the first to assess PrEP provision across health centers, including characteristics of clinics, patient populations, and policies associated with PrEP prescribing. Methods: The Health Resources and Services Administration's Uniform Data System contained aggregate data on PrEP prescriptions and patient sociodemographics at health centers from January 1 through December 31, 2021, in 50 U.S. states, the District of Columbia, and eight U.S. territories. We compared patient demographics and availability of Medicaid expansion and PrEP assistance programs at health centers that prescribed vs. those that did not prescribe PrEP. Results: Across 1375 health centers serving 30 193 278 patients, 79 163 patients were prescribed PrEP. Health centers that prescribed any PrEP had higher proportions of sexual, gender, racial, and ethnic minority patient populations compared with health centers that prescribed no PrEP. Compared with health centers that prescribed no PrEP, a higher proportion of health centers that prescribed PrEP were located in designated high-priority jurisdictions of the EHE initiative or states with Medicaid expansion or public PrEP assistance programs. Conclusion: Health centers are critical for scaling up PrEP in minoritized populations disproportionately affected by HIV, facilitated through federal and state-level policies. These findings highlight service gaps and inform future interventions to optimize PrEP implementation and support EHE initiative goals.

BACKGROUND:Persons of color experience are disproportionately impacted by poor mental health compared to White individuals, as are gender diverse populations relative to cisgender individuals. Yet, few studies have assessed differences in common mental health disorders at the intersection of race and gender identity. METHODS:Using health record data from an urban US community health center in Massachusetts that primarily serves LGBTQIA + communities, we organized patients (N = 29,988) into 24 race and gender identity categories, pairing four race groups (White, Black, Asian, and another race, which was inclusive of Native American/Alaskan, Native Hawaiian, Multiracial, and other) with six gender identity groups (cisgender men and women, transgender men and women, nonbinary individuals assigned male and female at birth [AMAB/AFAB]). We compared the severity of self-reported symptoms of depression and anxiety and the likelihood of meeting diagnostic thresholds across the four race categories within three gender groups (cisgender and transgender men, cisgender and transgender women, nonbinary individuals). RESULTS:Depression and anxiety symptom severity differed within men and women; transgender men and women across races had higher severity than cisgender men and women. In nonbinary individuals, symptom severity was high and consistent across the race groups. Differences were observed in the likelihood of meeting clinical thresholds for depression and anxiety across races in men and women, reflecting the pattern described above. Nonbinary participants across races had high likelihood of meeting the thresholds for both diagnoses (29.2%-47.1%). The likelihood of meeting the depression and anxiety thresholds were highest among Black nonbinary AFAB adults (44.4%) and transgender women in the another race category (48.7%), respectively. CONCLUSION:In this unique sample, differences in depression and anxiety symptom severity and likely diagnoses suggest disparities among nonbinary individuals across races, as well as among transgender men and women grouped into the another race category and women who identify as Black. Focused mental health strategies tailored to address race and gender identity may be critical to proactively address these disparities.

Purpose: Clinical monitoring for patients receiving gender-affirming hormone therapy (GAHT) has the potential to facilitate their receipt of preventive health services. We aimed to determine whether GAHT is associated with increased utilization of cervical cancer screening among transgender men (TM) and nonbinary persons assigned female at birth (NB-AFAB). Methods: We conducted a cross-sectional observational study of a single community health center in Boston. Persons of all gender identities eligible for cervical cancer screening during 2008-2019 were assessed. The outcome of interest was receipt of cervical cancer screening based on U.S. Preventive Services Task Force recommendations. We compared the proportion of persons who received cervical cancer screening by prescription of GAHT. Results: We identified 13,267 eligible persons. This cohort included 10,547 (79.5%) cisgender women, 1547 (11.7%) TM, and 1173 (8.8%) NB-AFAB persons. Among all persons eligible for cervical cancer screening, TM and NB-AFAB persons were less likely to receive screening than cisgender women (56.2% and 56.1% vs. 60.5% respectively; odds ratio [OR] = 0.84; 95% confidence interval [CI] = 0.75-0.93; OR = 0.84; 95% CI = 0.74-0.94, respectively). Among TM, those prescribed testosterone were more likely to receive cervical cancer screening than those not prescribed testosterone (57.9% vs. 48.2%, OR = 1.47; 95% CI = 1.14-1.92). Among NB-AFAB adults, those prescribed testosterone were more likely to receive cervical cancer screening than those not prescribed testosterone (61.9% vs. 51.5%, OR = 1.53; 95% CI = 1.21-1.93). Conclusions: The benefits of engagement in care to access GAHT may extend beyond the hormonal intervention to preventive health services.

Advancing Pediatric Sexual Orientation and Gender Identity Data Collection Michael Liu MPhil, Chris Grasso MPH, Hyun-Hee Kim MD, Kenneth H. Mayer MD, and Alex S. Keuroghlian MD, MPH Affiliation Michael Liu is with Harvard Medical School, Boston, MA. Chris Grasso, Kenneth H. Mayer, and Alex S. Keuroghlian are with the Fenway Institute at Fenway Health, Boston. Hyun-Hee Kim is with the Division of Child and Adolescent Psychiatry, Massachusetts General Hospital, Boston. CopyRightCorrespondence should be sent to Alex S. Keuroghlian, MD, MPH, Fenway Institute, Fenway Health, Boston, MA 02215 (e-mail: akeuroghlian@mgb.org). Reprints can be ordered at http://www.ajph.org by clicking the “Reprints” link. CONTRIBUTORS M. Liu conceptualized the editorial, wrote the first draft, and oversaw the editing and review process. A. S. Keuroghlian provided overall supervision. All of the authors critically reviewed the editorial for important intellectual content and provided overarching suggestions and revisions. https://doi.org/10.2105/AJPH.2023.307448 Accepted: September 01, 2023 Published Online: December 13, 2023

Use of telepsychiatry increased during the COVID-19 pandemic, resulting in greater access and the potential for improved care, although barriers to wider adoption remain.

Describe health of transgender women (TW) with HIV vs. cisgender men and women (CM, CW) in a U.S. HIV care cohort. Data were from Centers for AIDS Research Network of Integrated Clinical Systems (CNICS), 2005–2022. TW were identified using clinical data/identity measures. PWH (n = 1285) were included in analyses (275 TW, 547 CM, 463 CW). Cross-sectional multivariable analyses compared HIV outcomes/co-morbidities between TW/CM and TW/CW, and adjusted odds ratios (aOR) and 95% confidence intervals (95% CI) were estimated. TW had poorer adherence (> 90% adherent; aOR 0.57; 95%CI 0.38, 0.87) and were more likely to miss ≥ 3 visits in the past year than CM (aOR 1.50, 95%CI 1.06, 2.10); indicated more anxiety compared to both CM and CW (p ≤ 0.001, p = 0.02); hepatitis C infection (p = 0.03) and past-year/lifetime substance treatment (p = 0.004/p = 0.001) compared to CM; and substance use relative to CW. TW with HIV differed in HIV clinical outcomes and co-morbidities from CM and CW.

Objectives. To assess the performance of US federally qualified health centers (FQHCs) after 6 years of required sexual orientation and gender identity (SOGI) data reporting and update estimated proportions of sexual and gender minorities cared for at FQHCs.Methods. We conducted secondary analyses of data reported to the 2020 and 2021 Uniform Data System from 1297 FQHCs caring for nearly 30 000 000 patients annually. We used multivariable logistic regression to explore FQHC-level and patient-level factors associated with SOGI data completeness.Results. SOGI data were missing for 29.1% and 24.0% of patients, respectively. Among patients with reported SOGI data, 3.5% identified as sexual minorities and 1.5% identified as gender minorities. Southern FQHCs and those caring for more low-income and Black patients were more likely to have above-average SOGI data completeness. Larger FQHCs were more likely to have below-average SOGI data completeness.Conclusions. Substantial increases in SOGI data completeness at FQHCs over 6 years reflect the success of reporting mandates. Future research is needed to identify other patient-level and FQHC-level factors contributing to residual levels of SOGI data missingness. (Am J Public Health.

Transgender and gender diverse (TGD) adults in the U.S. experience health disparities, including in anogenital sexually transmitted infections (STI). Gender-affirming hormone therapy (GAHT) is known to be medically necessary and improve health. Few studies have assessed the effect of GAHT on STI diagnoses. To evaluate the effect of GAHT delivered in primary care as an intervention to improve STI outcomes for TGD adults. LEGACY is a longitudinal, multisite cohort study of adult TGD primary care patients from two federally qualified community health centers in Boston, MA, and New York, NY. Electronic health record data for eligible adult TGD patients contributed to the LEGACY research data warehouse (RDW). A total of 6330 LEGACY RDW patients were followed from 2016 to 2019, with 2555 patients providing STI testing data. GAHT exposure was being prescribed hormones, and the clinical outcome was anogenital gonorrhea or chlamydia diagnoses. Log-Poisson generalized estimating equations assessed the effect of prescription GAHT on primary outcomes, adjusting for age, race, ethnicity, gender identity, poverty level, health insurance, clinical site, and cohort years. The median age was 28 years (IQR = 13); the racial breakdown was 20.4

OBJECTIVE:To adapt and validate an algorithm to ascertain transgender and gender diverse (TGD) patients within electronic health record (EHR) data. METHODS:Using a previously unvalidated algorithm of identifying TGD persons within administrative claims data in a multistep, hierarchical process, we validated this algorithm in an EHR data set with self-reported gender identity. RESULTS:Within an EHR data set of 52 746 adults with self-reported gender identity (gold standard) a previously unvalidated algorithm to identify TGD persons via TGD-related diagnosis and procedure codes, and gender-affirming hormone therapy prescription data had a sensitivity of 87.3% (95% confidence interval [CI] 86.4-88.2), specificity of 98.7% (95% CI 98.6-98.8), positive predictive value (PPV) of 88.7% (95% CI 87.9-89.4), and negative predictive value (NPV) of 98.5% (95% CI 98.4-98.6). The area under the curve (AUC) was 0.930 (95% CI 0.925-0.935). Steps to further categorize patients as presumably TGD men versus women based on prescription data performed well: sensitivity of 97.6%, specificity of 92.7%, PPV of 93.2%, and NPV of 97.4%. The AUC was 0.95 (95% CI 0.94-0.96). CONCLUSIONS:In the absence of self-reported gender identity data, an algorithm to identify TGD patients in administrative data using TGD-related diagnosis and procedure codes, and gender-affirming hormone prescriptions performs well.

Transgender and gender diverse (TGD) individuals experience more severe psychological distress and may be at higher risk for suicide compared to cisgender individuals. The existing literature largely consists of small-sample studies that do not assess subgroup differences. To examine rates of self-reported suicidal ideation among four TGD groups compared to cisgender individuals. Data were extracted from the electronic health records of patients receiving primary care at a community health center specializing in sexual and gender minority health. A logistic regression was used to examine the relationship between sociodemographic variables and the presence of current suicidal ideation. 29,988 patients receiving care at a community health center in Northeastern US between 2015 and 2018. Demographic questionnaire, 9-item Patient Health Questionnaire Younger age, sexual and gender minority identity, and public/grants-based insurance were associated with significantly higher odds of suicidal ideation. Relative to cisgender men, transgender men (OR=2.08; 95% CI=1.29–3.36; p=.003), transgender women (OR=3.08; 95% CI=2.05–4.63; p<.001), nonbinary (NB) individuals assigned male at birth (AMAB; OR=3.55; 95% CI=1.86–6.77; p<001), and NB individuals assigned female at birth (AFAB; OR=2.49; 95% CI=1.52–4.07; p<001) all endorsed significantly higher odds of current suicidal ideation, controlling for age, race, ethnicity, sexual orientation, and insurance status. Larger proportions of transgender women (23.6%) and NB AMAB individuals (26.7%) reported suicidal ideation not only compared to cisgender men (6.1%) and women (6.6%), but also compared to transgender men (17.4%; χ2[5, n=25,959]=906.454, p<0.001). TGD patients were at significantly increased risk of suicidal ideation, even after accounting for age, race, ethnicity, sexual orientation, and insurance status. Findings suggest distinct risk profiles by assigned sex at birth. Consistent assessment of and intervention for suicidal ideation should be prioritized in settings that serve TGD patients.

Purpose: The study was designed to evaluate whether an educational intervention to train the health center (HC) staff to optimize care for sexual and gender minority (SGM) patients could improve documentation of sexual orientation and gender identity (SOGI) and increase preventive screenings. Methods: Twelve HCs were matched and randomized to either receive a tailored, multicomponent educational intervention or a 1-hour prerecorded webinar. Documentation of SGM status and clinical testing was measured through analysis of data that HCs report annually. Nonparametric statistics were used to assess associations between baseline HC characteristics and outcome measures. Results: The HCs were geographically, racially, and ethnically diverse. In all but one HC, <10% of the patients were identified as SGM. Intervention HCs underwent between 3 and 10 trainings, which were highly acceptable. In 2018, 9 of 12 HCs documented SO and 11 of 12 documented GI for at least 50% of their patients. Five of 6 intervention HCs increased SO documentation by 2020, compared to 3 of 6 control HCs (nonsignificant, NS). Five intervention HCs increased GI documentation, although generally by less than 10%, compared to 2 of the controls (NS). Intervention HCs tended to increase documentation of preventive services more than control HCs, but the changes were NS. Conclusions: An educational intervention designed to train the HC staff to provide culturally responsive services for SGM patients was found to be acceptable, with favorable, but nonsignificant changes. Further refinement of the intervention using a larger sample of HCs might demonstrate the effectiveness of this approach. Clinical trial registration #: NCT03554785

Purpose: This study identified barriers and facilitators associated with providing culturally responsive care for sexual and gender minority (SGM) patients at federally qualified health centers (FQHCs) in the United States, from the perspective of clinical leadership. Methods: Between July and December 2018, 23 semistructured, in-depth qualitative interviews were held with clinical leaders representing six FQHCs residing in rural and urban settings. Stakeholders included Chief Executive Officer, Executive Director, Chief Medical Officer, Medical Director, Clinic Site Director, and Nurse Manager positions. Interview transcripts were analyzed using inductive thematic analysis. Results: Barriers included personnel factors related to lack of training and fear, competing priorities, and environments that focused on treating all patients similarly. Facilitators included established partnerships with external organizations, staff with prior SGM training and knowledge, and active initiatives in clinic settings targeting SGM care. Conclusions: Clinical leadership expressed strong support for evolving their FQHCs into organizations that provide culturally responsive care for their SGM patients. FQHC staff across all levels of clinical care would benefit from regularly occurring training sessions on culturally responsive care for SGM patients. To ensure sustainability, improve staff buy-in, and mitigate the impact of staff turnover, improving culturally competent care for SGM patients should be a shared goal and responsibility for leadership, medical providers, and administrative staff. CTN Registration: NCT03554785

Purpose: This article characterizes a telehealth program implemented during the COVID-19 pandemic for transgender and gender diverse (TGD) patients at Fenway Health, a federally qualified health center in Boston, Massachusetts, specializing in gender and sexual minority health care. Telehealth is well positioned to meet TGD patients' health needs by allowing them to conveniently and safely engage in care. Methods: The COVID-19 pandemic has presented the opportunity to reimagine the way that Fenway Health provides care, by pivoting almost completely to a virtual model in response to this public health emergency. From March through August 2020, TGD patients (n=3189) from 24 U.S. states utilized our telehealth medical and behavioral health (BH) services. Results: Fenway Health cared for close to as many unique TGD patients during this 6-month period via telehealth as it did via in-person services during calendar year 2019 (3794 medical patients in 2019 vs. 3033 in March through August 2020 [95%]; 946 BH patients in 2019 vs. 911 in March through August 2020 [96%]). TGD patients who utilized telehealth had a similar demographic profile as those who used in-person services. Conclusion: Fenway Health quickly pivoted to telehealth during the COVID-19 pandemic enabling gender-affirming care for TGD communities. By increasing access to clinicians trained in gender-affirming care, telehealth helps ensure that TGD patients regardless of geographic location can access crucial health services. Given the dearth of gender-affirming health care services across the United States, permanently removing state licensure requirements and payment parity for telehealth could ensure access to more gender-responsive care across state lines.

Purpose: This study was conducted to characterize documentation of sexual orientation and gender identity (SOGI) and provision of screening and preventive services in a diverse sample of community health centers (CHCs). Methods: Twelve CHCs provided data submitted to the Health Resources and Services Administration (HRSA) in 2018 from their Uniform Data System (UDS) reports. Prevalence of SOGI documentation, screenings, and preventive services were calculated. Sociodemographic correlates of documentation were analyzed using Fisher's exact test and Wilcoxon rank sum/Mann-Whitney U test. Results: Patient data recording sexual orientation (SO) were missing in 2%-93% of UDS reports from the 12 CHCs, and gender identity (GI) data were missing from 0% to 96% of UDS reports. CHCs were most likely to report body mass index and tobacco screening and least likely to report hepatitis A or B vaccination, independent of SO or GI. Transgender females were less likely to have mammography documented than cisgender females. Transgender males were less likely to have anal Pap tests, be vaccinated for hepatitis B, or be referred for risky alcohol use compared to cisgender males. Patients who identified as "another gender" were less likely to be referred for risky alcohol use, undergo mammography or anal Pap testing, or receive hepatitis A vaccination than cisgender people. Individuals who did not disclose their GI were less likely to be vaccinated for hepatitis A or B than cisgender people. Conclusion: SOGI status was often not documented by a diverse array of CHCs. However, when SOGI status was documented, we saw evidence of disparities in preventive interventions and referrals, particularly for transgender patients. Clinical trial registration number: NCT03554785.

The systematic documentation of sexual orientation and gender identity data in electronic health records can improve patient-centered care and help to identify and address health disparities affecting sexual and gender minority populations. Although there are existing guidelines for sexual orientation and gender identity data among adult patients, there are not yet standard recommendations for pediatric patients. In this article, we discuss methods that pediatric primary care organizations can use to collect and document sexual orientation and gender identity information with children and adolescents in electronic health records. These recommendations take into consideration children's developmental stages, the role of caregivers, and the need to protect the privacy of this information. We also focus on the current limitations of electronic health records in capturing the nuances of sexual and gender minority identities and make suggestions for addressing these limitations.

OBJECTIVES:To propose an approach for semantic and functional data harmonization related to sex and gender constructs in electronic health records (EHRs) and other clinical systems for implementors, as outlined in the National Academies of Sciences, Engineering, and Medicine (NASEM) report Measuring Sex, Gender Identity, and Sexual Orientation and the Health Level 7 (HL7) Gender Harmony Project (GHP) product brief "Gender Harmony-Modeling Sex and Gender Representation, Release 1."MATERIALS AND METHODS:Authors from both publications contributed to a plan for data harmonization based upon fundamental principles in informatics, including privacy, openness, access, legitimate infringement, least intrusive alternatives, and accountability.RESULTS:We propose construct entities and value sets that best align with both publications to allow the implementation of EHR data elements on gender identity, recorded sex or gender, and sex for clinical use in the United States. We include usability- and interoperability-focused reasoning for each of these decisions, as well as suggestions for cross-tabulation for populations.DISCUSSION AND CONCLUSION:Both publications agree on core approaches to conceptualization and measurement of sex- and gender-related constructs. However, some clarifications could improve our ability to assess gender modality, alignment (or lack thereof) between gender identity and assigned gender at birth, and address both individual-level and population-level health inequities. By bridging the GHP and NASEM recommendations, we provide a path forward for implementation of sex- and gender-related EHR elements. Suggestions for implementation of gender identity, recorded sex or gender, and sex for clinical use are provided, along with semantic and functional justifications.