The TransPop study is the first national probability sample of transgender individuals in the United States (it also includes a comparative cisgender sample). A primary goal of this study was to provide researchers with a representative sample of transgender people in the United States. The study examines a variety of health-relevant domains including health outcomes and health behaviors, experiences with interpersonal and institutional discrimination, identity, transition-related experiences, and basic demographic characteristics (age, race/ethnicity, religion, political party affiliation, marital status, employment, income, location, sex, gender, and education). Co-investigators (in alphabetical order): Walter O. Bockting, Ph.D. (Columbia University); Jody L. Herman, Ph.D. (UCLA); Sari L. Reisner, Ph.D. (Harvard University and The Fenway Institute, Fenway Health).

The 2015 U.S. Transgender Survey (USTS) was conducted by the National Center for Transgender Equality (NCTE) to examine the experiences of transgender adults in the United States. The USTS questionnaire was administered online and data were collected over a 34-day period in the summer of 2015, between August 19 and September 21. The final sample included respondents from all fifty states, the District of Columbia, American Samoa, Guam, Puerto Rico, and U.S. military bases overseas. The USTS Public Use Dataset (PUDS) features survey results from 27,715 respondents and details the experiences of transgender people across a wide range of areas, such as education, employment, family life, health, housing, and interactions with police and prisons. The survey instrument had thirty-two sections that covered a broad array of topics, including questions related to the following topics (in alphabetical order): accessing restrooms; airport security; civic participation; counseling; family and peer support; health and health insurance; HIV; housing and homelessness; identity documents; immigration; intimate partner violence; military service; police and incarceration; policy priorities; public accommodations; sex work; sexual assault; substance use; suicidal thoughts and behaviors; unequal treatment, harassment, and physical attack; and voting. Demographic information includes age, racial and ethnic identity, sex assigned at birth, gender and preferred pronouns, sexual orientation, language(s) spoken at home, education, employment, income, religion/spirituality, and marital status.

The 2015 U.S. Transgender Survey (USTS) was conducted by the National Center for Transgender Equality (NCTE) to examine the experiences of transgender adults in the United States. The USTS questionnaire was administered online and data were collected over a 34-day period in the summer of 2015, between August 19 and September 21. The final sample included respondents from all fifty states, the District of Columbia, American Samoa, Guam, Puerto Rico, and U.S. military bases overseas. The USTS Public Use Dataset (PUDS) features survey results from 27,715 respondents and details the experiences of transgender people across a wide range of areas, such as education, employment, family life, health, housing, and interactions with police and prisons. The survey instrument had thirty-two sections that covered a broad array of topics, including questions related to the following topics (in alphabetical order): accessing restrooms; airport security; civic participation; counseling; family and peer support; health and health insurance; HIV; housing and homelessness; identity documents; immigration; intimate partner violence; military service; police and incarceration; policy priorities; public accommodations; sex work; sexual assault; substance use; suicidal thoughts and behaviors; unequal treatment, harassment, and physical attack; and voting. Demographic information includes age, racial and ethnic identity, sex assigned at birth, gender and preferred pronouns, sexual orientation, language(s) spoken at home, education, employment, income, religion/spirituality, and marital status. There are no publicly available data files for this study. The naming conventions were maintained from the original pre-ICPSR release and the PUDS file is restricted use along with the qualitative data (MS Excel) file. Before applying for access to these data please refer to the Approved Requests for USTS Data. These abstracts describe work currently in progress, and we provide them to help reduce the risk of duplication of research efforts.

Attribute Description NY 2010-2019

County: Location where the crime was reported.

Year: Year the crime incident was reported.

Crime Type: Category of crime defined by the FBI, including Crimes Against Persons (crimes targeting individuals or groups of individuals), and Property Crimes.

Anti-Male: Count of incidents with a reported Anti-Male bias. Male: An individual that produces small usually motile gametes (as spermatozoa or spermatozoids) which fertilize the egg of a female. (Merriam-Webster Dictionary)

Anti-Female: Count of incidents with a reported Anti-Female bias. Female: An individual of the sex that bears young or produces eggs. (Merriam-Webster Dictionary)

Anti-Transgender: Count of incidents with a reported Anti-Transgender bias. Transgender: Of or relating to a person who identifies as a different gender from their gender as determined at birth. The person may also identify himself or herself as “transsexual.” A transgender person may outwardly express his or her gender identity all of the time, part of the time, or none of the time; a transgender person may decide to change his or her body to medically conform to his or her gender identity.

Anti-Gender: Identity Expression Count of incidents with a reported Anti-Gender Identity Expression bias. Gender Nonconforming: Describes a person who does not conform to the gender-based expectations of society, e.g., a woman dressed in traditionally male clothing or a man wearing makeup. Note: A gender nonconforming person may or may not be a lesbian, gay, bisexual, or transgender person but may be perceived as such.

Anti-Age*: Count of incidents with a reported Anti-Age bias (60 years old or more). Age (60 years old or more): A preformed negative opinion or attitude toward a person or group of persons based on their actual or perceived age of 60 years old or more. The two bias types included under New York State’s Hate Crime Law (Penal Law Article 485) that are not included in the list of federally-defined bias types are noted with an asterisk(*).

Anti-White: Count of incidents with a reported Anti-White bias. White: A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. This category includes persons from the following nationalities: Irish, German, Italian, Lebanese, Arab, Moroccan, or Caucasian. (Census)

Anti-Black: Count of incidents with a reported Anti-Black of African American bias. Black or African American: A person having origins in any of the Black racial groups of Africa. This category includes persons from the following nationalities or groups: African American, Kenyan, Nigerian, or Haitian. (Census)

Anti-American Indian/Alaskan Native: Count of incidents with a reported Anti-American Indian or Alaskan Native bias. American Indian or Alaska Native: A person having origins in any of the original peoples of North and South America (including Central America) and who maintains tribal affiliation or community attachment. This category includes persons from the following tribal affiliations: Navajo, Blackfeet, Inupiat, Yup’ik, or Central American Indian groups or South American Indian groups. (Census)

Anti-Asian: Count of incidents with a reported Anti-Asian bias. Asian: A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. This category includes persons from the following nationalities: Asian Indian, Bangledeshi, Bhutanese, Bermese, Cambodian, Chinese Filipino, Hmong, Indonesian, Japanese, Korean, Laotian, Malaysian, Nepalese, Pakistani, Sri Lankan, Taiwanese, Thai, Vietnamese, Other Asian, specified; Other Asian, not specified. (Census)

Anti-Native Hawaiian/Pacific Islander: Count of incidents with a reported Anti-Native Hawaiian/Pacific Islander bias. Native Hawaiian or Other Pacific Islander: A person having origins in any of the original peoples of Hawaii, Guam, Samoa, or other Pacific Islands. This category includes persons from the following nationalities: Fijian, Guamanian or Chamorro, Marshallese, Native Hawaiian, Other Micronesian, Other Pacific Islander, not specified; Other Polynesian, Samoan, Tongan. (Census)

Anti-Multi-Racial Groups: Count of incidents with a reported Anti-Multi-Racial Groups bias. Multiple Races, Group: A group of persons having origins from multiple racial categories.

Anti-Other Race: Count of incidents with a reported Anti-Other Race bias. Other Race/Ethnicity/Ancestry: A person of a different race/ethnicity/ancestry than is otherwise included in this combined category.

Anti-Jewish: Count of incident...

IntroductionTransgender and gender non-binary (TGNB) individuals are disproportionally affected by HIV and face high rates of discrimination and stigmatization, resulting in limited access to HIV prevention services. Pre-exposure prophylaxis (PrEP) is highly efficacious for reducing the risk of HIV transmission. However, little research is available regarding PrEP awareness and utilization among TGNB adolescents and young adults (AYA).MethodsTGNB AYA ages 15–24 years old were recruited between December 2021 and November 2022 for participation in a one-time, anonymous online survey study to assess PrEP awareness and perceptions, as well as barriers to its use. Participants were recruited from seven academic centers offering gender-affirming care to TGNB AYA across the United States.ResultsOf the 156 TGNB AYA individuals who completed the survey, most (67%) were aware of PrEP; however, few (7%) had been prescribed PrEP. Many (60%) had not spoken to a medical provider and, even if the medication was free and obtained confidentially, most participants did not plan to take PrEP due to low perceived HIV risk, lack of PrEP knowledge, and concern about interactions between their hormone therapy and PrEP.DiscussionThese findings underscore the need for broad PrEP educational efforts for both TGNB AYA and their providers to improve knowledge, identify potential PrEP candidates among TGNB AYA and improve access by addressing identified barriers.

BackgroundAs transgender and gender diverse (TGD) people become increasingly visible, healthcare solutions in the United States have also expanded to meet their needs. As TGD people and their families pursue gender affirming care (GAC), they also seek support to navigate complex healthcare and insurance systems. With increased demand for GAC, virtual healthcare navigation services in the U.S. have developed tailored approaches to address gaps in systems for this population.PurposeThe purpose of this study was to qualitatively explore the role and influence of trained care coordinators (CCs) from a virtual navigation service in meeting commercially-insured TGD people’s GAC needs.MethodsWe examined and analyzed redacted chat conversations between CCs from a virtual healthcare navigation service in the U.S. and members seeking assistance. Reflexive thematic analysis of the data set involved multiple rounds of coding and reflexive analytic processes to develop themes.FindingsWe developed three intersecting themes: 1) Provide Dignified Experiences, 2) Promote Affirming Patient-Provider Relationships, and 3) Navigate Complex Insurance Systems. Sub-themes associated with each of the themes include: 1) Shared life experience; Exploring gender identity and GAC options in safe spaces; 2) Connections with vetted providers; 3) Access accurate information about insurance policies; Assistance with appeals process; and Obtaining letters of support.Discussion/ConclusionNavigating U.S. healthcare and insurance systems presents unique challenges for TGD people. While challenges to accessing care are well documented, our findings suggest that healthcare navigation services supported by trained CCs substantively assist TGD patients overcome obstacles. Our findings revealed multiple levels at which the service provides benefits -- individual, interpersonal, and structural. These levels of influence have clinical and policy implications for improved care for TGD people. Interventions like tailored, virtual healthcare navigation services are scalable and should be evaluated for reach and magnitude of impact beyond commercially-insured populations.