Experiences of childhood, intimate partner, non-partner, and hate crime-related violence among a sample of people living with HIV in the epicenter of the U.S. HIV epidemic.

Introduction: Experiences of violence among people living with HIV (PLWH) are thought to be highly prevalent but remain inadequately captured. As a first step toward acceptable, trauma informed practices that improve engagement and retention in care for PLWH, we must acquire more comprehensive understanding of violence experiences. We examined experiences of various forms of lifetime violence: adverse childhood experiences (ACES), intimate partner violence (IPV), non-partner violence (NPV), and hate crimes among diverse sample of PLWH in Atlanta, Georgia. Methods: Cross sectional data collected from in- and out-of-care PLWH (N = 285) receiving care/support from Ryan White Clinics (RWCs), AIDS Service Organizations (ASOs), or large safety-net hospital, February 2021-December 2022. As part of larger study, participants completed interviewer-administered survey and reported on experiences of violence, both lifetime and past year. Participant characteristics and select HIV-related variables were collected to further describe the sample. Univariate and bivariate analyses assessed participant characteristics across types of violence. Results: High prevalence of past violence experiences across all types (ACES: 100%, IPV: 88.7%, NPV: 97.5%, lifetime hate crimes 93.2%). People assigned male at birth who identified as men experienced more violence than women, with exception of non-partner forced sex. Participants identifying as gay men were more likely to have experienced violence. Conclusion: Among our sample of PLWH at the epicenter of the United States HIV epidemic, histories of interpersonal and community violence are common. Findings emphasize need for RWCs, ASOs, and hospital systems to be universally trained in trauma-informed approaches and have integrated onsite mental health and social support services.

Impact of the First Year of the COVID-19 on Unmet Healthcare Need among New York City Adults: a Universal Healthcare Experiment.

We examined the impact of the first year of the COVID-19 pandemic on unmet healthcare need among New Yorkers and potential differences by race/ethnicity and health insurance. Data from the Community Health Survey, collected in 2018, 2019, and 2020, were merged to compare unmet healthcare need within the past 12 months during the pandemic versus the 2 years prior to 2020. Univariate and multivariable logistic regression models evaluated change in unmet healthcare need overall, and we assessed whether race/ethnicity or health insurance status modified the association. Overall, 12% of New Yorkers (N = 27,660) experienced unmet healthcare during the 3-year period. In univariate and multivariable models, the first year of the pandemic (2020) was not associated with change in unmet healthcare need compared with 2018-2019 (OR = 1.04, p = 0.548; OR = 1.03, p = 0.699, respectively). There was no statistically significant interaction between calendar year and race/ethnicity, but there was significant interaction with health insurance status (interaction p = 0.009). Stratifying on health insurance status, those uninsured had borderline significant lower odds of experiencing unmet healthcare need during 2020 compared to the 2 years prior (OR = 0.72, p = 0.051) while those with insurance had a slight increase that was not significant (OR = 1.12, p = 0.143). Unmet healthcare need among New Yorkers during the first year of the pandemic did not differ significantly from 2018-2019. Federal pandemic relief funding, which offered no-cost COVID-19 testing and care to all, irrespective of health insurance or legal status, may have helped equalized access to healthcare.

Disparities by race/ethnicity in unplanned cesarean birth among healthy nulliparas: a secondary analysis of the nuMoM2b dataset.

BACKGROUND: Racial disparities exist in maternal morbidity and mortality, with most of these events occurring in healthy pregnant people. A known driver of these outcomes is unplanned cesarean birth. Less understood is to what extent maternal presenting race/ethnicity is associated with unplanned cesarean birth in healthy laboring people, and if there are differences by race/ethnicity in intrapartum decision-making prior to cesarean birth. METHODS: This secondary analysis of the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (nuMoM2b) dataset involved nulliparas with no significant health complications at pregnancy onset who had a trial of labor at ≥ 37 weeks with a singleton, non-anomalous fetus in cephalic presentation (N = 5,095). Logistic regression models were used to examine associations between participant-identified presenting race/ethnicity and unplanned cesarean birth. Participant-identified presenting race/ethnicity was used to capture the influence of racism on participant's healthcare experiences. RESULTS: Unplanned cesarean birth occurred in 19.6% of labors. Rates were significantly higher among Black- (24.1%) and Hispanic- (24.7%) compared to white-presenting participants (17.4%). In adjusted models, white participants had 0.57 (97.5% CI [0.45-0.73], p < 0.001) lower odds of unplanned cesarean birth compared to Black-presenting participants, while Hispanic-presenting had similar odds as Black-presenting people. The primary indication for cesarean birth among Black- and Hispanic- compared to white-presenting people was non-reassuring fetal heart rate in the setting of spontaneous labor onset. CONCLUSIONS: Among healthy nulliparas with a trial of labor, white-presenting compared to Black or Hispanic-presenting race/ethnicity was associated with decreased odds of unplanned cesarean birth, even after adjustment for pertinent clinical factors. Future research and interventions should consider how healthcare providers' perception of maternal race/ethnicity may bias care decisions, leading to increased use of surgical birth in low-risk laboring people and racial disparities in birth outcomes.