Compounding vulnerabilities: victimization and discrimination is associated with COVID-19 disruptions to HIV-related care among gay, bisexual, and other men and transgender and nonbinary people who have sex with men in Kazakhstan.
Emily Allen PaineYong Gun LeeGaukhar MergenovaVitaliy VinogradovCaitlin I LaughneyAlissa DavisAssel TerlikbayevaSholpan PrimbetovaTimothy HuntElwin WuPublished in: AIDS care (2023)
Gay, bisexual, and other men and transgender and nonbinary people who have sex with men (MSM and TSM) are disproportionately impacted by the HIV epidemic in Kazakhstan. MSM and TSM in Kazakhstan also face high levels of discrimination and victimization, known barriers to engagement in HIV prevention and care. We examined data from surveys with 455 MSM and TSM collected May -- October 2020 to determine whether access to HIV testing and treatment was disproportionately limited among those exposed to victimization and discrimination during the early COVID-19 pandemic. Odds of reporting COVID-19 disruptions to HIV-related care access were significantly higher (OR: 1.96; 95% CI: 1.25-3.06; P = .003) among those who experienced recent sexual or gender-based victimization, and recent discrimination (OR: 2.93; 95% CI: 1.65-5.23; P < .001), compared to those who did not experience victimization or discrimination, respectively. Odds of reporting disruptions among those who experienced both victimization and discrimination were significantly higher (OR: 3.59; 95% CI: 1.88-6.86; P < .001) compared to those who experienced neither . Associations remained significant after adjustment for potentially confounding factors. Findings suggest the COVID-19 pandemic is compounding vulnerability among MSM and TSM in Kazakhstan - highlighting need for intervention efforts targeting the most marginalized groups.
Keyphrases
- hiv testing
- men who have sex with men
- hiv positive
- intimate partner violence
- healthcare
- coronavirus disease
- palliative care
- sars cov
- quality improvement
- high school
- middle aged
- human immunodeficiency virus
- pain management
- emergency department
- cancer therapy
- electronic health record
- big data
- smoking cessation
- artificial intelligence
- drug induced
- data analysis