Race-Based Medical Mistrust, HIV-Related Stigma, and ART Adherence in a Diverse Sample of Men Who Have Sex with Men with HIV

Exploring Preventive Health Care Utilization Among Black/African American Men

Black/African American (BAA) men have the lowest life expectancy among other major demographic groups in the United States, with BAA male mortality rates 40% higher than their White male counterparts. Despite known benefits of preventive health care utilization, BAA men are 43% more likely to use the emergency department for usual care. Many intersecting factors like medical mistrust and religion have been identified as common barriers BAA men face in health care utilization with few studies exploring factors that impact their current preventive health care utilization. In addition, BAA men's perceptions of health and ability to identify or seek help have always been disproportionately lower than other racial groups despite higher rates of preventable diseases. Using the tenets of the Andersen Healthcare Utilization Model, this cross-sectional study of 176 BAA men explores BAA men's current preventive health care practices while examining the intersection of predisposing, enabling, and need factors on BAA men's preventive health care utilization. While it is well known that higher income levels and higher education positively influence health care utilization, the intersection of religious affiliation and higher levels of medical mistrust was associated with BAA men's decreased engagement with health care as religion posed as a buffer to health care utilization. This study demonstrated that BAA men's perception of health differed by sexual orientation, educational status, and income. However, across all groups the participants' perspective of their health was not in alignment with their current health outcomes. Future studies should evaluate the impact of masculine norms as potential enabling factors on BAA men's preventive health care utilization.

Medical Mistrust and Healthcare Seeking Among Women of Color with Chronic Vulvovaginal Pain

BACKGROUND

Chronic vulvovaginal pain (CVVP), an umbrella term encompassing several gynecological pain conditions (e.g., vulvodynia, vaginismus), has a prevalence rate of 7-8% in the USA and is characterized by considerable diagnostic delay in patient experience research. Furthermore, current research in this area focuses largely on the experiences of white women, while the experiences of women of color are underrepresented.

METHOD

In the present cross-sectional study (N = 488), we surveyed women of color (i.e., Asian, Black, and/or Hispanic/Latinx women) with CVVP about their perceptions and experiences with medical mistrust, healthcare seeking, and healthcare avoidance.

RESULTS

Using the suspicion subscale of the Group-Based Medical Mistrust Scale, we found significant racial and ethnic differences in medical suspicion scores, with non-Black Hispanic/Latinx women reporting the highest suspicion scores and non-Hispanic/Latinx Black women reporting the lowest scores. Racial differences disappeared, however, after examining medical mistrust and perceived discrimination as predictors for various healthcare outcomes related to the journey to diagnosis and healthcare avoidance behaviors. We found that while suspicion was a reliable predictor of increased diagnostic delay and healthcare avoidance in many contexts, the results for perceived discrimination were more varied, suggesting considerable nuance in the relationship between medical mistrust, perceived discrimination, and healthcare seeking outcomes.

CONCLUSION

These findings point to shared experiences of medical mistrust via suspicion that broadly characterize women of color's experiences in seeking CVVP-related care-future research is needed to examine nuances within racial and ethnic groups regarding their healthcare seeking experiences in the CVVP context.

Utilizing Community Based Participatory Research Methods in Black/African American and Hispanic/Latinx Communities in the US: The CDC Minority HIV Research Initiative (MARI-Round 4)

The Centers for Disease Control and Prevention Minority HIV Research Initiative (MARI) funded 8 investigators in 2016 to develop HIV prevention and treatment interventions in highly affected communities. We describe MARI studies who used community-based participatory research methods to inform the development of interventions in Black/African American and Hispanic/Latinx communities focused on sexual minority men (SMM) or heterosexual populations. Each study implemented best practice strategies for engaging with communities, informing recruitment strategies, navigating through the impacts of COVID-19, and disseminating findings. Best practice strategies common to all MARI studies included establishing community advisory boards, engaging community members in all stages of HIV research, and integrating technology to sustain interventions during the COVID-19 pandemic. Implementing community-informed approaches is crucial to intervention uptake and long-term sustainability in communities of color. MARI investigators' research studies provide a framework for developing effective programs tailored to reducing HIV-related racial/ethnic disparities.

Identification of Social and Racial Disparities in Risk of HIV Infection in Florida using Causal AI Methods

Florida -the 3rd most populous state in the USA-has the highest rates of Human Immunodeficiency Virus (HIV) infections and of unfavorable HIV outcomes, with marked social and racial disparities. In this work, we leveraged large-scale, real-world data, i.e., statewide surveillance records and publicly available data resources encoding social determinants of health (SDoH), to identify social and racial disparities contributing to individuals' risk of HIV infection. We used the Florida Department of Health's Syndromic Tracking and Reporting System (STARS) database (including 100,000+ individuals screened for HIV infection and their partners), and a novel algorithmic fairness assessment method -the Fairness-Aware Causal paThs decompoSition (FACTS)- merging causal inference and artificial intelligence. FACTS deconstructs disparities based on SDoH and individuals' characteristics, and can discover novel mechanisms of inequity, quantifying to what extent they could be reduced by interventions. We paired the deidentified demographic information (age, gender, drug use) of 44,350 individuals in STARS -with non-missing data on interview year, county of residence, and infection status- to eight SDoH, including access to healthcare facilities, % uninsured, median household income, and violent crime rate. Using an expert-reviewed causal graph, we found that the risk of HIV infection for African Americans was higher than for non- African Americans (both in terms of direct and total effect), although a null effect could not be ruled out. FACTS identified several paths leading to racial disparity in HIV risk, including multiple SDoH: education, income, violent crime, drinking, smoking, and rurality.

Demographic reporting across a decade of neuroimaging: a systematic review

Diversity of participants in biomedical research with respect to race, ethnicity, and biological sex is crucial, particularly given differences in disease prevalence, recovery, and survival rates between demographic groups. The objective of this systematic review was to report on the demographics of neuroimaging studies using magnetic resonance imaging (MRI). The Web of Science database was used and data collection was performed between June 2021 to November 2021; all articles were reviewed independently by at least two researchers. Articles utilizing MR data acquired in the United States, with n ≥ 10 human subjects, and published between 2010–2020 were included. Non-primary research articles and those published in journals that did not meet a quality control check were excluded. Of the 408 studies meeting inclusion criteria, approximately 77% report sex, 10% report race, and 4% report ethnicity. Demographic reporting also varied as function of disease studied, participant age range, funding, and publisher. We anticipate quantitative data on the extent, or lack, of reporting will be necessary to ensure inclusion of diverse populations in biomedical research.

Intersectional Stigma and Prevention Among Gay, Bisexual, and Same Gender-Loving Men in New York City, 2020: System Dynamics Models

Objectives. To create causal loop diagrams that characterize intersectional stigma experiences among Black, gay, bisexual, same gender-loving, and other men who have sex with men and to identify intervention targets to reduce stigma and increase testing and prevention access. Methods. Between January and July 2020, we conducted focus groups and in-depth interviews with 80 expert informants in New York City, which were transcribed, coded, and analyzed. These qualitative insights were developed iteratively, visualized, and validated in a causal loop diagram (CLD) using Vensim software. Results. The CLD revealed 3 key feedback loops-medical mistrust and HIV transmission, serosorting and marginalization of Black and gay individuals, and family support and internalized homophobia-that contribute to intersectional HIV and related stigmas, homophobia, and systemic racism. On the basis of these results, we designed 2 novel intervention components to integrate into an existing community-level anti-HIV stigma and homophobia intervention. Conclusions. HIV stigma, systemic racism, and homophobia work via feedback loops to reduce access to and uptake of HIV testing, prevention, and treatment. Public Health Implications. The CLD method yielded unique insights into reciprocal feedback structures that, if broken, could interrupt stigmatization and discrimination cycles that impede testing and prevention uptake. (Am J Public Health. 2022;112(S4):S444-S451. https://doi.org/10.2105/AJPH.2022.306725).