Improving Data-Driven Methods to Identify and Categorize Transgender Individuals by Gender in Insurance Claims Data

LGBTQI+ Data Collection in Medicaid to Advance Health Equity

This Viewpoint explores Centers for Medicare & Medicaid Services guidance on the collection of sexual orientation and gender identity data and how these data could be used to advance health equity for LGBTQI+ people.

Characteristics and Outcomes Among US Commercially Insured Transgender Adults With Cirrhosis: A National Cohort Study

INTRODUCTION

The National Institute on Minority Health and Health Disparities has noted that transgender individuals experience unique health disparities. We sought to describe the landscape of transgender patients with cirrhosis.

METHODS

We identified all transgender and cisgender adults in Optum's deidentified Clinformatics Data Mart Database between 2007 and 2022 using validated billing codes and calculating age-standardized prevalence of cirrhosis among cisgender vs transgender adults. Among those with incident cirrhosis diagnoses, we calculated age-standardized incidence densities of liver-related outcomes (decompensation, transplantation, hepatocellular carcinoma) and all-cause mortality. We examined 5-year survival using inverse probability treatment weighting to balance transgender and cisgender populations on demographic and clinical characteristics.

RESULTS

Among 64,615,316 adults, 42,471 (0.07%) were transgender. Among 329,251 adults with cirrhosis, 293 (0.09%) were transgender. Trans- (vs cis-) genders had higher prevalence of cirrhosis (1,285 [95% confidence interval (CI) 1,136-1,449] per 100,000 vs 561 [559-563] per 100,000). Among adults with cirrhosis, trans- (vs cis-) genders had higher proportions of anxiety (70.7% [56.9-86.9] vs 43.2% [42.7-43.8]), depression (66.4% [53.3-81.7] vs 38.4% [37.9-38.9]), HIV/AIDS (8.5% [3.9-16.1] vs 1.6% [1.5-1.7]), and alcohol (57.5% [46.0-71.1] vs 51.0% [50.5-51.6]) and viral (30.5% [22.8-39.8] vs 24.2% [23.9-24.5]) etiologies, although etiologies had overlapping CIs. Trans- (vs cis-) genders had similar incidence densities of death (12.0 [95% CI 8.8-15.3] vs 14.0 [13.9-14.2] per 100 person-years), decompensation (15.7 [10.9-20.5] vs 14.1 [14.0-14.3]), and liver transplantation (0.3 [0.0-0.8] vs 0.3 [0.3-0.4]). In inverse probability treatment weighting survival analysis, transgender and cisgender individuals had similar 5-year survival probabilities (63.4% [56.6-71.1] vs 59.1% [58.7-59.4]).

DISCUSSION

Trans- (vs cis-) gender adults have double the prevalence of cirrhosis, and the majority have a diagnosis of anxiety and/or depression. These results are informative for researchers, policymakers, and clinicians to advance equitable care for transgender individuals.

Prevalence of Gender-Affirming Surgical Procedures Among Minors and Adults in the US

This cross-sectional study uses a national dataset to examine the prevalence of gender-affirming surgical procedures among minors and adults in the US.

Clinicians in the Veterans Health Administration initiate gender-affirming hormone therapy in concordance with clinical guideline recommendations

Background

Gender-affirming hormone therapy (GAHT) is a common medical intervention sought by transgender and gender diverse (TGD) individuals. Initiating GAHT in accordance with clinical guideline recommendations ensures delivery of high-quality care. However, no prior studies have examined how current GAHT initiation compares to recommended GAHT initiation.

Objective

This study assessed guideline concordance around feminizing and masculinizing GAHT initiation in the Veterans Health Administration (VHA).

Methods

The sample included 4,676 veterans with a gender identity disorder diagnosis who initiated feminizing (n=3,547) and masculinizing (n=1,129) GAHT between 2007 and 2018 in VHA. Demographics and health conditions on veterans receiving feminizing and masculinizing GAHT were assessed. Proportion of guideline concordant veterans on six VHA guidelines on feminizing and masculinizing GAHT initiation were determined.

Results

Compared to veterans receiving masculinizing GAHT, a higher proportion of veterans receiving feminizing GAHT were older (≥60 years: 23.7% vs. 6.3%), White non-Hispanic (83.5% vs. 57.6%), and had a higher number of comorbidities (≥7: 14.0% vs. 10.6%). A higher proportion of veterans receiving masculinizing GAHT were Black non-Hispanic (21.5% vs. 3.5%), had posttraumatic stress disorder (43.0% vs. 33.9%) and positive military sexual trauma (33.5% vs.16.8%; all p-values<0.001) than veterans receiving feminizing GAHT. Among veterans who started feminizing GAHT with estrogen, 97.0% were guideline concordant due to no documentation of contraindication, including venous thromboembolism, breast cancer, stroke, or myocardial infarction. Among veterans who started spironolactone as part of feminizing GAHT, 98.1% were guideline concordant as they had no documentation of contraindication, including hyperkalemia or acute renal failure. Among veterans starting masculinizing GAHT, 90.1% were guideline concordant due to no documentation of contraindications, such as breast or prostate cancer. Hematocrit had been measured in 91.8% of veterans before initiating masculinizing GAHT, with 96.5% not having an elevated hematocrit (>50%) prior to starting masculinizing GAHT. Among veterans initiating feminizing and masculinizing GAHT, 91.2% had documentation of a gender identity disorder diagnosis prior to GAHT initiation.

Conclusion

We observed high concordance between current GAHT initiation practices in VHA and guidelines, particularly for feminizing GAHT. Findings suggest that VHA clinicians are initiating feminizing GAHT in concordance with clinical guidelines. Future work should assess guideline concordance on monitoring and management of GAHT in VHA.

Emergency Department Use Disparities Among Transgender and Cisgender Medicare Beneficiaries, 2011-2020

This cross-sectional study compares emergency department use among transgender and gender-diverse as well as cisgender Medicare beneficiaries.

Characterizing Disparities in the HIV Care Continuum among Transgender and Cisgender Medicare Beneficiaries

Background

In the US, transgender and gender-diverse (TGD) individuals, particularly trans feminine individuals, experience a disproportionately high burden of HIV relative to their cisgender counterparts. While engagement in the HIV Care Continuum (e.g., HIV care visits, antiretroviral (ART) prescribed, ART adherence) is essential to reduce viral load, HIV transmission, and related morbidity, the extent to which TGD people engage in one or more steps of the HIV Care Continuum at similar levels as cisgender people is understudied on a national level and by gendered subgroups.

Methods and Findings

We used Medicare Fee-for-Service claims data from 2009 to 2017 to identify TGD (trans feminine and non-binary (TFN), trans masculine and non-binary (TMN), unclassified gender) and cisgender (male, female) beneficiaries with HIV. Using a retrospective cross-sectional design, we explored within- and between-gender group differences in the predicted probability (PP) of engaging in one or more steps of the HIV Care Continuum. TGD individuals had a higher predicted probability of every HIV Care Continuum outcome compared to cisgender individuals [HIV Care Visits: TGD PP=0.22, 95% Confidence Intervals (CI)=0.22-0.24; cisgender PP=0.21, 95% CI=0.21-0.22); Sexually Transmitted Infection (STI) Screening (TGD PP=0.12, 95% CI=0.11-0.12; cisgender PP=0.09, 95% CI=0.09-0.10); ART Prescribed (TGD PP=0.61, 95% CI=0.59-0.63; cisgender PP=0.52, 95% CI=0.52-0.54); and ART Persistence or adherence (90% persistence: TGD PP=0.27, 95% CI=0.25-0.28; 95% persistence: TGD PP=0.13, 95% CI=0.12-0.14; 90% persistence: cisgender PP=0.23, 95% CI=0.22-0.23; 95% persistence: cisgender PP=0.11, 95% CI=0.11-0.12)]. Notably, TFN individuals had the highest probability of every outcome (HIV Care Visits PP =0.25, 95% CI=0.24-0.27; STI Screening PP =0.22, 95% CI=0.21-0.24; ART Prescribed PP=0.71, 95% CI=0.69-0.74; 90% ART Persistence PP=0.30, 95% CI=0.28-0.32; 95% ART Persistence PP=0.15, 95% CI=0.14-0.16) and TMN people or cisgender females had the lowest probability of every outcome (HIV Care Visits: TMN PP =0.18, 95% CI=0.14-0.22; STI Screening: Cisgender Female PP =0.11, 95% CI=0.11-0.12; ART Receipt: Cisgender Female PP=0.40, 95% CI=0.39-0.42; 90% ART Persistence: TMN PP=0.15, 95% CI=0.11-0.20; 95% ART Persistence: TMN PP=0.07, 95% CI=0.04-0.10). The main limitation of this research is that TGD and cisgender beneficiaries were included based on their observed care, whereas individuals who did not access relevant care through Fee-for-Service Medicare at any point during the study period were not included. Thus, our findings may not be generalizable to all TGD and cisgender individuals with HIV, including those with Medicare Advantage or other types of insurance.

Conclusions

Although TGD beneficiaries living with HIV had superior engagement in the HIV Care Continuum than cisgender individuals, findings highlight notable disparities in engagement for TMN individuals and cisgender females, and engagement was still low for all Medicare beneficiaries, independent of gender. Interventions are needed to reduce barriers to HIV care engagement for all Medicare beneficiaries to improve treatment outcomes and reduce HIV-related morbidity and mortality in the US.

Computational phenotyping within electronic healthcare data to identify transgender people in the United States: A narrative review

PURPOSE

With the expansion of research utilizing electronic healthcare data to identify transgender (TG) population health trends, the validity of computational phenotype (CP) algorithms to identify TG patients is not well understood. We aim to identify the current state of the literature that has utilized CPs to identify TG people within electronic healthcare data and their validity, potential gaps, and a synthesis of future recommendations based on past studies.

METHODS

Authors searched the National Library of Medicine's PubMed, Scopus, and the American Psychological Association PsycInfo's databases to identify studies published in the United States that applied CPs to identify TG people within electronic healthcare data.

RESULTS

Twelve studies were able to validate or enhance the positive predictive value (PPV) of their CP through manual chart reviews (n = 5), hierarchy of code mechanisms (n = 4), key text-strings (n = 2), or self-surveys (n = 1). CPs with the highest PPV to identify TG patients within their study population contained diagnosis codes and other components such as key text-strings. However, if key text-strings were not available, researchers have been able to find most TG patients within their electronic healthcare databases through diagnosis codes alone.

CONCLUSION

CPs with the highest accuracy to identify TG patients contained diagnosis codes along with components such as procedural codes or key text-strings. CPs with high validity are essential to identifying TG patients when self-reported gender identity is not available. Still, self-reported gender identity information should be collected within electronic healthcare data as it is the gold standard method to better understand TG population health patterns.

Hepatitis C Virus Testing and Care Cascade Among Transgender and Gender Diverse Individuals

INTRODUCTION

Hepatitis C virus (HCV) prevalence among transgender and gender-diverse individuals ranges from 1.8% to 15.7% versus 1% in the general population. Previous HCV studies inclusive of transgender and gender-diverse individuals primarily rely on convenience-based sampling methods or are geographically restricted. The purpose of this study is to compare the prevalence of HCV diagnoses, testing, and care engagement between transgender and gender-diverse and cisgender individuals.

METHODS

Using Optum's de-identified Clinformatics® Data Mart Database, in 2022, the unadjusted prevalence of HCV testing among all adults and people who inject drugs from January 2001 to December 2019 was measured. Multivariable logistic regression was used to compare the adjusted odds of HCV diagnoses and care engagement by gender subgroup.

RESULTS

The overall unadjusted frequency of HCV diagnoses among transgender and gender-diverse individuals was approximately 3 times that of cisgender individuals (1.06% vs 0.38%, p<0.001), including among people who inject drugs (6.36% vs 2.36%, p=0.007). Compared with cisgender women, transfeminine/nonbinary individuals had over 5 times the adjusted odds of a HCV diagnosis and approximately 3.5 times the odds of being tested for HCV. In addition, compared with cisgender women, transfeminine/nonbinary individuals had significantly increased odds of having a HCV‒related procedure (e.g., abdominal ultrasounds, liver biopsies, Fibroscans). Cisgender men had significantly increased odds of receiving HCV medication compared with cisgender women.

CONCLUSIONS

Although testing was higher among transgender and gender-diverse individuals, the higher overall frequency of HCV diagnoses among transgender and gender-diverse than among cisgender individuals signals persistent health disparities. Interventions are warranted to prevent HCV and increase ongoing testing and treatment uptake among transgender and gender-diverse populations.

Disparities in health condition diagnoses among aging transgender and cisgender medicare beneficiaries, 2008-2017

INTRODUCTION

The objective of this research is to provide national estimates of the prevalence of health condition diagnoses among age-entitled transgender and cisgender Medicare beneficiaries. Quantification of the health burden across sex assigned at birth and gender can inform prevention, research, and allocation of funding for modifiable risk factors.

METHODS

Using 2009-2017 Medicare fee-for-service data, we implemented an algorithm that leverages diagnosis, procedure, and pharmacy claims to identify age-entitled transgender Medicare beneficiaries and stratify the sample by inferred gender: trans feminine and nonbinary (TFN), trans masculine and nonbinary (TMN), and unclassified. We selected a 5% random sample of cisgender individuals for comparison. We descriptively analyzed (means and frequencies) demographic characteristics (age, race/ethnicity, US census region, months of enrollment) and used chi-square and t-tests to determine between- (transgender vs. cisgender) and within-group gender differences (e.g., TMN, TFN, unclassified) difference in demographics (p<0.05). We then used logistic regression to estimate and examine within- and between-group gender differences in the predicted probability of 25 health conditions, controlling for age, race/ethnicity, enrollment length, and census region.

RESULTS

The analytic sample included 9,975 transgender (TFN n=4,198; TMN n=2,762; unclassified n=3,015) and 2,961,636 cisgender (male n=1,294,690, female n=1,666,946) beneficiaries. The majority of the transgender and cisgender samples were between the ages of 65 and 69 and White, non-Hispanic. The largest proportion of transgender and cisgender beneficiaries were from the South. On average, transgender individuals had more months of enrollment than cisgender individuals. In adjusted models, aging TFN or TMN Medicare beneficiaries had the highest probability of each of the 25 health diagnoses studied relative to cisgender males or females. TFN beneficiaries had the highest burden of health diagnoses relative to all other groups.

DISCUSSION

These findings document disparities in key health condition diagnoses among transgender Medicare beneficiaries relative to cisgender individuals. Future application of these methods will enable the study of rare and anatomy-specific conditions among hard-to-reach aging transgender populations and inform interventions and policies to address documented disparities.

US Black-White Differences in Mortality Risk Among Transgender and Cisgender People in Private Insurance, 2011-2019

Objectives. To compare survival by gender and race among transgender and cisgender people enrolled in private insurance in the United States between 2011 and 2019. Methods. We examined Optum's Clinformatics Data Mart Database. We identified transgender enrollees using claims related to gender-affirming care. Our analytic sample included those we identified as transgender and a 10% random sample of cisgender enrollees. We limited our sample to those 18 years or older who were non-Hispanic Black or White. We identified 18 033 transgender and more than 4 million cisgender enrollees. We fit Kaplan-Meier survival curves and calculated standardized mortality ratios while adjusting for census region. Results. Black transfeminine and nonbinary people assigned male sex at birth were 2.73 times more likely to die than other Black transgender people and 2.38 and 3.34 times more likely than Black cisgender men and women, respectively; similar results were found when White transfeminine and nonbinary people assigned male sex at birth were compared with White cisgender cohorts. Conclusions. Our findings highlight glaring inequities in mortality risks among Black transfeminine and nonbinary people assigned male sex at birth and underscore the need to monitor mortality risks in transgender populations and address the social conditions that increase these risks. (Am J Public Health. 2022;112(10):1507-1514. https://doi.org/10.2105/AJPH.2022.306963).