Stigma and discrimination against transgender men in Bhutan.

BACKGROUND: While transgender people worldwide face high rates of stigma and discrimination, there are few studies of transgender men (also "trans men") in Asia. We measured the prevalence of, and factors associated with, stigma and discrimination faced by trans men in Bhutan to bring visibility to their experiences and inform health and social policy changes. METHODS: This cross-sectional survey was conducted in nine regions in Bhutan from November 2019 to January 2020. A total of 124 trans men were recruited using a hybrid venue-based and peer-referral approach. Data were collected using an interviewer-administered questionnaire. Multivariate logistic regression characterized associations with experiencing stigma and discrimination when accessing health services. FINDINGS: Participants were young (48.0% 18-24 years) and 48.4% had migrated from a rural to an urban area. The majority (95.2%) experienced stigma because people knew or thought they were trans men. Associations with frequent experiences of stigma were living with their partner as a couple (adjusted odds ratio [AOR] 3.07, 95% CI 1.27-7.44) and being unemployed or a student (3.22, 1.44-7.19). Nearly half (47.6%) said they experienced discrimination when accessing health care because people knew or thought they were a trans man; this experience was associated with migration (2.42, 1.08-5.39) and having >15 trans men in their social network (3.73, 1.69-8.26). Most (94.4%) experienced verbal violence, 10.5% experienced physical violence, and 4.8% experienced sexual violence. INTERPRETATION: Our study found high rates of stigma, discrimination, and interpersonal violence due to being a trans man in Bhutan. Findings highlight the urgent need for strengthening laws and regulations to protect the rights of transgender persons, particularly when accessing health services, recognizing partnerships, and preventing violence in public spaces.

Population size estimation of transgender women and men in Bhutan.

INTRODUCTION: Transgender persons experience health disparities and are marginalized in many societies worldwide. Even their numbers are unknown in many countries. We conducted the first effort to estimate the population size of transgender women (TGW) and transgender men (TGM) in Bhutan from November 2019 to January 2020. METHODS: Community-based surveys of TGW and TGM integrated several methods to estimate the size of hidden populations, including key informant mapping, wisdom-of-the-crowd, the service multiplier, and the unique object multiplier. Results of the several methods were synthesized using a Bayesian approach. RESULTS: Surveys included 34 TGW and 124 TGM. TGW was persons assigned to the male sex at birth and currently self-identified as "trans women" (91%), "women" (6%), or another gender (3%). TGM were persons assigned female sex at birth and self-identified as "trans men" (100%). Bayesian synthesis of the multiple methods estimated 84 TGW (credible interval 61-110) and 166 TGM (credible interval 124-211) in Bhutan. CONCLUSIONS: Our study documented that TGW and TGM are part of Bhutanese society, with TGW constituting 0.03% of adult women and TGM 0.06% of adult men. Estimates can help advocate for resources and programs to address the health and well-being of these communities.

Redefining the Mode of HIV Transmission through Analysis of Risk Attribution among the Reported HIV Cases from 1993 to 2021 in Bhutan.

Introduction: The detailed risk assessment of the diagnosed HIV cases in Bhutan is an opportunity to carry out the risk analysis to generate evidence of wherein, under what context, and in which population groups most new infections are occurring. The evidence collected will help to test the current assumption of Bhutan experiencing diffused and generalized HIV epidemic. Methods: This is a cross-sectional study using a quantitative method to assess the risk behavior of the diagnosed HIV cases from 1993 to 2019. The study also included secondary data analysis of those cases already captured by the routine case-based surveillance from 2020 to 2021. The data collection was done from 1 to 30 January 2022 in all the twenty districts of Bhutan. Descriptive statistical analysis was used to analyze the characteristics of the study population, and relationships were established using the Chi-square Test. We have sought ethics approval and obtained participants' informed consent. Results: The risk attribution analysis showed that 81.94% of HIV infection among the reported HIV cases in Bhutan has occurred through high-risk heterosexuals and 8.88% through mother-to-child transmission, and parenteral transmission accounts for 1.58% and then 1.35% through homosexual. Of the 81.94% high-risk heterosexuals, 41.08% acquired through sex workers and clients of sex workers, 27.99% from HIV-infected persons, 12.64% from sex work, and 0.23% from injecting drug use. Conclusions: This study has shed some light on a gradual epidemic shift from the current perceived diffused and generalized to the concentrated epidemic among subpopulation groups like female sex workers and their clients.

Characteristics and Population Size Estimation of Female Sex Workers in Bhutan.

BACKGROUND: Knowing the number of persons at risk for sexually transmitted diseases (STDs) and their risk behaviors are needed to allocate limited resources, set targets for prevention and care activities, gauge the reach of programs, and assess their impact. Female sex workers (FSWs) are a population at high risk for STD worldwide; little is known about FSW in Bhutan. METHODS: We conducted a community-based survey and population size exercise of FSW in Bhutan. The survey used a hybrid venue-based/peer-referral sampling method. Population size estimation methods were key informant mapping, census and enumeration, unique object multiplier, and capture-recapture. RESULTS: Of 517 women surveyed, 67.5% provided sex for money in the last year. Compared with FSWs at venues, FSWs referred by peers were more likely to have sex with alcohol (80.1% vs. 51.5%, P < 0.001) and more paying partners (mean, 3.5 vs. 2.0; P = 0.001), and less likely to have tested for an STD (28.3% vs. 51.0%, P < 0.001) or have outreach worker contact (27.6% vs. 41.5%, P = 0.007). The estimated number of FSWs in the 9 districts was 353 (95% confidence interval, 345-362). Extrapolation to the whole country projected 597 (417-777) FSWs nationally. CONCLUSIONS: Our estimate of the number of FSW in Bhutan corresponds to 0.71% of adult urban women, a figure in line with other countries in South and Southeast Asia. Our data highlight the need for outreach beyond venues where women are employed to reach FSW at higher risk for STD but who have less access to interventions.

Baseline CD4 count and the time interval between the initial HIV infection and diagnosis among PLHIV in Bhutan.

INTRODUCTION: CD4 count is an important predictor of disease progression, opportunities infection, deaths, and to understand the time interval between initial HIV infection to the first diagnosis. However, baseline CD4 count and the time period between initial infection and the diagnosis amongst PLHIV in Bhutan never been evaluated. METHODS: This is a retrospective study of the diagnosed PLHIV from the existing data system from January 10 to 30, 2021. Out of 512 reported HIV cases, 488 of those who were more than or equal to 18 years old and had their CD4 count testing within 6 months before initiating ART were considered for analysis. Descriptive statistical analysis was used to analyze the characteristics of the study population and relationship were established using the χ 2 Test. We have sought ethics approval and waiver for informed consent as it is the retrospective study of the client's record. The client's confidentiality was ensured by removing all the identifiers. RESULTS: The mean CD4 was 345 cells/ml for males and females. Twenty-five percent of the clients had CD4 counts below 200, 30%, between 200 and 349, 25% between 350 and 499, and 20% above 500 cells/ml. A larger number of males showed a CD4 count below 200 cells/ml while more females showed a CD4 count more than 500 cells/ml. The mean time interval between initial infection to the first diagnosis was 4 years in males and females. However, about one-fourth were found to have been infected between 5 and 8 years before diagnosis and less than 10% were diagnosed within less than 1 year of infection. CONCLUSIONS: The study revealed a late diagnosis of HIV infection in Bhutan thereby risking the transmission to the community and risk of severe disease and mortality. The upscaling of voluntary counseling and testing, medical screening, and alternative methods like community-based testing including HIV Self Testing for early detection needs to be implemented in the country.

Measles and rubella immunity in the population of Bhutan, 2017.

BACKGROUND: In 2017, measles elimination was verified in Bhutan, and the country appears to have sufficiently high vaccination coverage to achieve rubella elimination. However, a measles and rubella serosurvey was conducted to find if any hidden immunity gaps existed that could threaten Bhutan's elimination status. METHODS: A nationwide, three-stage, cluster seroprevalence survey was conducted among individuals aged 1-4, 5-17, and >20 years in 2017. Demographic information and children's vaccination history were collected, and a blood specimen was drawn. Serum was tested for measles and rubella immunoglobulin G (IgG). Frequencies, weighted proportions, and prevalence ratios for measles and rubella seropositivity were calculated by demographic and vaccination history, taking into account the study design. RESULTS: Of the 1325 individuals tested, 1045 (81%, 95% CI 78%-85%) were measles IgG seropositive, and 1290 (97%, 95% CI 95%-99%) were rubella IgG seropositive. Rubella IgG seropositivity was high in all three age strata, but only 47% of those aged 5-17 years were measles IgG seropositive. Additionally, only 41% of those aged 5-17 years who had documented receipt of two doses of measles- or measles-rubella-containing vaccine were seropositive for measles IgG, but almost all these children were rubella IgG seropositive. CONCLUSIONS: An unexpected measles immunity gap was identified among children 5-17 years of age. It is unclear why this immunity gap exists; however, it could have led to a large outbreak and threatened sustaining of measles elimination in Bhutan. Based on this finding, a mass vaccination campaign was conducted to close the immunity gap.