Incidence and Risk Factors for Postoperative Venous Thromboembolism After Gender Affirming Vaginoplasty: A Retrospective Analysis of a Large Insurance Claims Database.

OBJECTIVES: To investigate the incidence and associated risk factors of venous thromboembolism (VTE) after gender affirming vaginoplasty. METHODS: We searched International Business Machines Corporation (IBM) Marketscan, a commercial claims database, for Current Procedural Terminology and International Classification of Diseases (ICD) procedure codes to identify patients who underwent gender affirming vaginoplasty from 2011-2020. We quantified deep venous thrombosis and pulmonary embolism using ICD-9 and ICD-10 codes found within 90 days after surgery. Univariate and multivariate analyses were performed to establish association between VTE events and age, residency location, and comorbidities. RESULTS: We identified 1588 patients who underwent gender affirming vaginoplasty. Overall, 1.1% of patients experienced a VTE within 90 days following surgery. Patients who experienced postoperative VTE were older, more likely to have had a prior VTE, less likely to be from an urban area, and more likely to have a higher Charlson Comorbidity Index score. Among patients with postoperative VTE, 47.1% had previous VTE. Among patients without a postoperative VTE, 1.3% had previous VTE. CONCLUSION: In patients undergoing gender affirming vaginoplasty, the incidence of postoperative VTE was 1.1%. Older age, rurality, increased comorbidities, and prior VTE were associated with increased risk of postoperative VTE. Current guidelines do not recommend cessation of gender affirming hormone therapy (GAHT) prior to vaginoplasty. Further research is needed to evaluate if certain high-risk patients would benefit from perioperative adjustment of GAHT or perioperative VTE prophylaxis.

Desire for genetically related children among transgender and gender-diverse patients seeking gender-affirming hormones.

Objective: To assess predictors of desire for genetically related children among a national cohort of reproductive-age transgender and gender-diverse patients aged 18 to 44 years initiating gender-affirming hormone therapy for the first time. Design: Cross-sectional study. Setting: National telehealth clinic. Patients: A cohort of patients from 33 US states initiating gender-affirming hormone therapy. A total of 10,270 unique transgender and gender-diverse patients-aged 18 to 44 years (median age 24 years), with no prior use of gender-affirming hormone therapy-completed clinical intake forms between September 1, 2020, and January 1, 2022. Interventions: Patient sex assigned at birth, insurance status, age, and geographic location. Main Outcome Measures: Self-reported desire for children using own genetic material. Results: Transgender and gender-diverse patients seeking gender-affirming medical treatments who are open to having genetically related children are an important population to identify and appropriately counsel. Over one quarter of the study population reported being interested in or unsure about having genetically related children, with 17.8% reporting yes and 8.4% unsure. Male-sex-assigned-at-birth patients had 1.37 (95% confidence interval: 1.25, 1.41) times higher odds of being open to having genetically related children compared with female-sex-assigned-at-birth patients. Those with private insurance had 1.13 (95% confidence interval: 1.02, 1.37) times higher odds of being open to having genetically related children compared with those without insurance. Conclusions: These findings represent the largest source of self-reported data on the desire for genetically related children among reproductive-age adult transgender and gender-diverse patients seeking gender-affirming hormones. Guidelines recommend that providers offer fertility-related counseling. These results indicate that transgender and gender-diverse patients, particularly male-sex-assigned-at-birth individuals and patients with private insurance, could benefit from counseling regarding the impacts of gender-affirming hormone therapy and gender-affirming surgeries on fertility.

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.

Spending and Out-of-Pocket Costs for Genital Gender-Affirming Surgery in the US.

Importance: Genital gender-affirming surgery (GAS) is safe and offers substantial benefits to patients. Geographic accessibility and high out-of-pocket (OOP) costs reportedly hinder access; however, to date, this has not been thoroughly investigated at the national level. Objective: To estimate OOP and total costs for GAS among commercially insured beneficiaries and assess whether costs differed between surgical procedures conducted in and outside the patient's state of residence. Design, Setting, and Participants: This cross-sectional study used previously collected insurance data from the MarketScan Commercial Database (129 million patients) from January 1, 2007, to December 31, 2019. Vaginoplasties and phalloplasties were identified using diagnosis and procedure codes among patients aged 18 to 64 years. Out-of-state surgical procedures were identified based on residence at enrollment and place of service of the surgery. Data analysis took place from July 1 to September 31, 2021. Exposures: Vaginoplasty and phalloplasty. Main Outcomes and Measures: The main outcomes were differences in OOP and total costs by out-of-state designation, census region, age, and insurance type for surgical procedures, estimated using multivariable linear regression models. Results: The study included 771 patients who underwent GAS. A total of 609 underwent vaginoplasty, of whom 249 (41%) underwent surgery in their state of residence (mean [SD] age, 38.7 [13.1] years) and 340 (56%) underwent surgery outside their state (mean [SD] age, 38.1 [13.0] years), and 162 underwent phalloplasty, of whom 66 (41%) underwent surgery in their state of residence (mean [SD] age, of 39.7 [11.6] years) and 81 (50%) underwent surgery outside their state (mean [SD] age, 35.8 [10.9] years); 20 vaginoplasties (3%) and 15 phalloplasties (9%) could not be classified as in or out of state owing to missing data about the facility or residence. Procedures outside the state were associated with 49% (95% CI, 19%-85%) higher OOP costs compared with procedures done in the state of residence. Conclusions and Relevance: In this cross-sectional study, 56% of patients who underwent vaginoplasty and 50% of patients who underwent phalloplasty underwent the procedure outside their state of residence. Patients who underwent these procedures outside their state also experienced higher OOP costs than did those who underwent these procedures in their state. Improving geographic access and understanding patient preferences for surgical care may help reduce the cost burden for those planning to undergo GAS.

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

Purpose: Prior algorithms enabled the identification and gender categorization of transgender people in insurance claims databases in which sex and gender are not simultaneously captured. However, these methods have been unable to categorize the gender of a large proportion of their samples. We improve upon these methods to identify the gender of a larger proportion of transgender people in insurance claims data. Methods: Using 2001-2019 Optum's Clinformatics® Data Mart insurance claims data, we adapted prior algorithms by combining diagnosis, procedure, and pharmacy claims to (1) identify a transgender sample; and (2) stratify the sample by gender category (trans feminine and nonbinary [TFN], trans masculine and nonbinary [TMN], unclassified). We used logistic regression to estimate the burden of 13 chronic health conditions, controlling for gender category, age, race/ethnicity, enrollment length, and census region. Results: We identified 38,598 unique transgender people, comprising 50% [n = 19,252] TMN, 26% (n = 10,040) TFN, and 24% (n = 9306) unclassified individuals. In adjusted models, relative to TMN people, TFN people had significantly higher odds of most chronic health conditions, including HIV, atherosclerotic cardiovascular disorder, myocardial infarction, alcohol use disorder, and drug use disorder. Notably, TMN individuals had significantly higher odds of post-traumatic stress disorder and depression than TFN individuals. Conclusion: By combining complex administrative claims-based algorithms, we identified the largest U.S.-based sample of transgender individuals and inferred the gender of >75% of the sample. Adjusted models extend prior research documenting key health disparities by gender category. These methods may enable researchers to explore rare and sex-specific conditions in hard-to-reach transgender populations.

Prevalence of Private and Public Health Insurance Among Transgender and Gender Diverse Adults.

BACKGROUND: Little is known about how health insurance payer types differ between transgender and gender diverse (TGD) people and cisgender people. Much of what is known about insurance coverage among TGD adults has been based on research from claims and electronic health record data, which excludes individuals who have not accessed gender-affirming care. Research designed to understand how TGD populations pay for health care to best inform care interventions and public insurance policies is lacking. OBJECTIVE: The objective of this study was to examine differences in the prevalence of public and private health insurance between transgender and cisgender adults. METHODS: Using data from the Behavioral Risk Factor Surveillance System, this study estimated prevalence of health insurance coverage among TGD and cisgender adults residing in 22 states that administered the Sexual Orientation and Gender Identity module and the Healthcare Access module from 2014 to 2019. This study estimated the odds of health insurance coverage (no insurance, private insurance, public insurance) among cisgender adults compared with TGD adults. RESULTS: TGD people had greater odds of being uninsured compared with cisgender women. Among nondisabled, nonelderly respondents, TGD adults had lower odds of having private insurance and higher odds of public insurance compared with cisgender men. Among respondents who were likely Medicaid-eligible, TGD respondents had lower odds of having public insurance and higher odds of being uninsured compared with cisgender women. CONCLUSION: These findings provide foundational information about the payer mix among TGD people and provide insight into barriers to health insurance that TGD adults may face.

Change in Gender on Record and Transgender Adults' Mental or Behavioral Health.

INTRODUCTION: Within gender-diverse populations, gender-affirming changes in gender on record may improve mental or behavioral health. This study uses claims data to investigate whether sex assigned at birth modifies the association between change in gender on record and mental or behavioral health. METHODS: Adult Oregon Medicaid beneficiaries with gender identity-related diagnoses and enrolled during 2010-2019 were included. Sex assigned at birth was inferred from medical and pharmacy claims and was categorized as assigned female, assigned male, or unknown sex assigned at birth. Self-reported gender ascertained at initial enrollment differing from sex assigned at birth indicated a change in gender on record. Multivariable logistic regression estimated the association between change in gender on record and mental (anxiety, depression, suicidal ideation, post-traumatic stress disorder) or behavioral (alcohol, substance, or tobacco use disorders) health. Analyses were conducted in February 2021. RESULTS: This study included 2,940 transgender and nonbinary adults. Of the 1,451 self-reporting female gender and 1,489 self-reporting male gender, 449 (30.9%) were assigned male at birth, and 303 (20.3%) were assigned female at birth, classified as changing their gender on record. Predicted probability of mental or behavioral conditions was significantly lower in those who changed their gender on record. Sex assigned at birth modified the association with mental health: assigned female at birth reporting female gender had the highest burdens, followed by assigned male at birth reporting male. Secondary analyses using a modified change in gender definition or alternative sex assigned at birth inference method found similar trends. CONCLUSIONS: Oregon Medicaid gender-diverse beneficiaries who changed their gender on record had a meaningfully lower probability of mental and behavioral health conditions. Those assigned female at birth reporting female gender had the highest burdens.

PrEP Use and Adherence Among Transgender Patients.

This cross-sectional study used 2012 to 2019 Oregon Medicaid claims to estimate the prevalence of PrEP use and identify determinants of high adherence across transgender and cisgender men and women. Gender identity (cisgender woman/man; transgender, assigned female sex at birth [AFAB]; transgender, assigned male sex at birth [AMAB]) was based on medical history and enrollment records. Proportion of days covered ≥ 0.80 was considered high adherence to PrEP. The association between gender identity and PrEP uptake or high adherence was estimated using multivariable logistic regression. 1555 PrEP users, including 171 (11.0%) cis women, 1171 (75.3%) cis men, 67 (4.3%) AFAB, and 146 (9.4%) AMAB individuals, were included. The probability of PrEP use per 10,000 people was highest in transgender groups (AMAB 546.8, 95% CI 462.4-631.3; AFAB 226.5, 95% CI 173.4-279.6), followed by cisgender men (20.6, 95% CI 19.4, 21.8) and women (2.6, 95% CI 2.2, 3.0). High adherence was significantly lower in AMAB recipients (72.6%) than cisgender women (86.0%) and cisgender men (82.2%). Among the 279 PrEP users with female on their enrollment record, 76 (27.2%) were AMAB, while among the 1276 PrEP users with male on their enrollment record, 35 (2.7%) were AFAB. This demonstrates the importance of surveillance methods that take gender identity into account in addition to sex assigned at birth. There were significant differences in PrEP use and adherence by gender identity. PrEP surveillance, outreach, and prescribing practices must consider gender identity-unique risk factors.

Differences in Perinatal Outcomes of Birthing People in Same-Sex and Different-Sex Marriages.

It is unknown whether people in same-sex relationships who give birth have different perinatal outcomes than people in different-sex relationships, despite differences in risk factors such as use of assisted reproductive technologies, obesity, smoking, and poor mental health. Marriage equality has established birth certificates as a promising new source of population-based data on births to same-sex married parents. We used birth certificate data from Massachusetts for 201,873 singletons born to married parents from 2012 to 2016. We estimated the associations of several birth outcomes with having a birth parent in a same-sex marriage using propensity score-matched and -unmatched samples. We also tested whether these associations were modified by the use of assisted reproductive technologies. People in same-sex marriages who gave birth had perinatal outcomes related to decreased fetal growth and preterm birth that were similar to those of their peers in different-sex marriages. Use of assisted reproductive technology was associated with decreased fetal growth and increased risk of preterm birth for infants with different-sex parents but not for infants with same-sex parents. More research is needed across other states and to understand why use of assisted reproductive technology is not a risk factor for poor birth outcomes for those in same-sex marriages.

Sexual Identity and Birth Outcomes: A Focus on the Moderating Role of Race-ethnicity.

Race-ethnic disparities in birth outcomes are well established, and new research suggests that there may also be important sexual identity disparities in birth weight and preterm birth. This study uses the National Longitudinal Study of Adolescent to Adult Health and is the first to examine disparities in birth outcomes at the intersection of race-ethnicity and sexual identity. We use ordinary least sqaures and logistic regression models with live births (n = 10,318) as the unit of analysis clustered on mother ID (n = 5,105), allowing us to adjust for preconception and pregnancy-specific perinatal risk factors as well as neighborhood characteristics. Results show a striking reversal in the effect of lesbian or bisexual identity on birth outcomes across race-ethnicities: For white women, a bisexual or lesbian identity is associated with better birth outcomes than their white heterosexual counterparts, but for Black and Latina women, it is associated with worse birth outcomes than their heterosexual peers.

Association of Social and Behavioral Risk Factors With Earlier Onset of Adult Hypertension and Diabetes.

Importance: The National Academy of Medicine has recommended incorporating information on social and behavioral factors associated with health, such as educational level and exercise, into electronic health records, but questions remain about the clinical value of doing so. Objective: To examine whether National Academy of Medicine-recommended social and behavioral risk factor domains are associated with earlier onset of hypertension and/or diabetes in a clinical population. Design, Setting, and Participants: This prospective cohort study used data collected from April 1, 2005, to December 31, 2016, from a population-based sample of 41 745 patients from 4 cycles of Kaiser Permanente Northern California's Adult Member Health Survey, administered to members at 19 Kaiser Permanente Northern California medical center service populations. The study used Kaplan-Meier survival tables and Cox proportional hazards regression analysis to estimate the onset of hypertension and diabetes among patients with no indication of disease at baseline. Data analysis was performed from June 2, 2017, to March 26, 2019. Exposures: Race/ethnicity, educational level, financial worry, partnership status, stress, intimate partner violence, concentrated neighborhood poverty, depressive symptoms, infrequent exercise, smoking, heavy alcohol consumption, and cumulative social and behavioral risk. Main Outcomes and Measures: Onset of hypertension and diabetes during the 3.5 years after survey administration. Results: The study included 18 133 people without baseline hypertension (mean [SD] age, 48.1 [15.3] years; 10 997 [60.7%] female; and 11 503 [63.4%] white) and 35 788 people without baseline diabetes (mean [SD] age, 56.2 [16.9] years; 20 191 [56.4%] female; and 24 351 [68.0%] white). There was a dose-response association between the number of social and behavioral risk factors and likelihood of onset of each condition. Controlling for age, sex, race/ethnicity, body mass index, and survey year, hazard ratios (HRs) comparing those with 3 or more risk factors with those with 0 risk factor were 1.41 (95% CI, 1.17-1.71) for developing hypertension and 1.53 (95% CI, 1.29-1.82) for developing diabetes. When the same covariates were adjusted for, having less than a high school educational level (hazard ratio [HR], 1.84; 95% CI, 1.40-2.43), being widowed (HR, 1.38; 95% CI, 1.11-1.71), concentrated neighborhood poverty (HR, 1.26; 95% CI, 1.00-1.59), infrequent exercise (HR, 1.22; 95% CI, 1.08-1.38), and smoking (HR, 1.35; 95% CI, 1.10-1.67) were significantly associated with hypertension onset. Having less than a high school educational level (HR, 1.58; 95% CI, 1.26-1.97), financial worry (HR, 1.29; 95% CI, 1.13-1.46), being single or separated (HR, 1.24; 95% CI, 1.08-1.42), high stress (HR, 1.28; 95% CI, 1.09-1.51), intimate partner violence (HR, 1.68; 95% CI, 1.14-2.48), concentrated neighborhood poverty (HR, 1.31; 95% CI, 1.07-1.60), depressive symptoms (HR, 1.28; 95% CI, 1.10-1.50), and smoking (HR, 1.53; 95% CI, 1.27-1.86) were significantly associated with diabetes onset, although heavy alcohol consumption was associated with protection (HR, 0.75; 95% CI, 0.66-0.85) rather than risk. Conclusions and Relevance: Independent of traditional risk factors, individual and cumulative social and behavioral risk factor exposures were associated with onset of hypertension and diabetes within 3.5 years in a clinical setting. The findings support the value of assessing social and behavioral risk factors to help identify high-risk patients and of providing targets for intervention.