BackgroundPre-exposure prophylaxis (PrEP) trials using tenofovir-based regimens have demonstrated that high levels of adherence are required to evaluate efficacy; the incorporation of objective biomarkers of adherence in trial design has been essential to interpretation, given the inaccuracy of self-report. Antiretroviral measurements in scalp hair have been useful as a marker of long-term exposure in the HIV treatment setting, and hair samples are relatively easy and inexpensive to collect, transport, and store for analysis. To evaluate the relationship between dose and tenofovir concentrations in hair, we examined the dose proportionality of tenofovir in hair in healthy, HIV-uninfected adults.MethodsA phase I, crossover pharmacokinetic study was performed in 24 HIV-negative adults receiving directly-observed oral tenofovir tablets administered 2, 4, and 7 doses/week for 6 weeks, with a ≥3-week break between periods. Small samples of hair were collected after each six-week period and analyzed for tenofovir concentrations. Geometric-mean-ratios compared levels between each pair of dosing conditions. Intensive plasma pharmacokinetic studies were performed during the daily-dosing period to calculate areas-under-the-time-concentration curves (AUCs).ResultsOver 90% of doses were observed per protocol. Median tenofovir concentrations in hair increased monotonically with dose. A log-linear relationship was seen between dose and hair levels, with an estimated 76% (95% CI 60–93%) increase in hair level per 2-fold dose increase. Tenofovir plasma AUCs modestly predicted drug concentrations in hair.ConclusionsThis study found a strong linear relationship between frequency of dosing and tenofovir levels in scalp hair. The analysis of quantitative drug levels in hair has the potential to improve adherence measurement in the PrEP field and may be helpful in determining exposure thresholds for protection and explaining failures in PrEP trials. Hair measures for adherence monitoring may also facilitate adherence measurement in real-world settings and merit further investigation in upcoming PrEP implementation studies and programs.Trial RegistrationClinicalTrials.gov +NCT00903084.

Preexposure prophylaxis is a highly protective HIV prevention strategy, yet nonadherence can significantly reduce its effectiveness. We conducted a mixed methods evaluation of a mobile health intervention (iText) that utilized weekly bidirectional text or e-mail support messages to encourage preexposure prophylaxis (PrEP) adherence among participants in the multi-site iPrEx open-label extension study. A convenience sample of PrEP users from the San Francisco and Chicago sites participated in a 12-week pilot study. Fifty-six men who have sex with men were enrolled; a quarter of them were less than 30 years of age, 13% were black/African American, 11% were Latino, and most (88%) completed some college. Two-thirds opted for text message delivery. Of the 667 messages sent, only 1 individual requested support; initial nonresponse was observed in 22% and was higher among e-mail compared to text message recipients. Poststudy, a majority of participants would recommend the intervention to others, especially during PrEP initiation. Moreover, younger participants and men of color were more likely to report that they would use the iText strategy if it were available to them. Several participants commented that while they were aware that the messages were automated, they felt supported and encouraged that “someone was always there.” Study staff reported that the intervention is feasible to administer and can be incorporated readily into clinic flow. A pre–post intervention regression discontinuity analysis using clinic-based pill counts showed a 50% reduction in missed doses [95% confidence interval (CI) 16–71; p = 0.008] and 77% (95% CI 33–92; p = 0.007) when comparing pill counts at quarterly visits just before and after iText enrollment. A mobile health intervention using weekly bidirectional messaging was highly acceptable and demonstrated promising effects on PrEP adherence warranting further evaluation for efficacy in a randomized controlled trial.

Objectives. To describe disparities in depression, anxiety, and problem drinking by sexual orientation, sexual behavior, and gender identity during the COVID-19 pandemic. Methods. Data were collected May 21 to July 15, 2020, from 3245 adults living in 5 major US metropolitan areas (Atlanta, Georgia; Chicago, Illinois; New Orleans, Louisiana; New York, New York; and Los Angeles, California). Participants were characterized as cisgender straight or LGBTQ+ (i.e., lesbian, gay, bisexual, and transgender people, and men who have sex with men, and women who have sex with women not identifying as lesbian, gay, bisexual, or transgender). Results. Cisgender straight participants had the lowest levels of depression, anxiety, and problem drinking compared with all other sexual orientation, sexual behavior, and gender identity groups, and, in general, LGBTQ+ participants were more likely to report that these health problems were “more than usual” during the COVID-19 pandemic. Conclusions. LGBTQ+ communities experienced worse mental health and problem drinking than their cisgender straight counterparts during the COVID-19 pandemic. Future research should assess the impact of the pandemic on health inequities. Policymakers should consider resources to support LGBTQ+ mental health and substance use prevention in COVID-19 recovery efforts.

Racial discrimination may increase the risk of low birthweight (LBW), but has not been studied among Roma, the largest minority population in Europe. Moreover, few studies test both institutional and interpersonal forms of racial discrimination on health. Our objective was to examine associations between institutional and interpersonal racial discrimination with LBW, and to test potential mediation by smoking during pregnancy. In 2012-2013, Romani women interviewers surveyed 410 Romani women in Serbia and Macedonia. We measured institutional discrimination (neighborhood segregation, legal status of housing and neighborhood socioeconomic status), interpersonal discrimination [Everyday Discrimination Scale (EDS)], birthweight and smoking by self-report or interviewer report. We estimated relative risks for discrimination on LBW and separately on smoking during pregnancy using log-binomial regression, adjusting for age, parity, years at residence and wealth. The indirect effect of high EDS via smoking on LBW was estimated using inverse odds weighting mediation. Living in a low SES neighborhood showed a 2-fold risk of LBW [adjusted risk ratio (aRR) = 2.4, 95% CI = 1.2, 5.0]; aRRs for segregation and illegal housing were weaker (aRR = 1.8, 95% CI = 0.7, 4.3; aRR = 1.3, 95% CI = 0.6, 2.6, respectively). Institutional measures were not associated with smoking. High EDS was associated with LBW (aRR = 2.4, 95% CI = 1.1, 5.2) and smoking during pregnancy (aRR = 1.4, 95% CI = 1.1, 1.8); the indirect effect of EDS on LBW via smoking was not significant. Interpersonal discrimination and living in a low SES neighborhood were associated with LBW among Roma. Interventions to improve Romani health may benefit from a human rights approach.

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Purpose The purpose of this paper is to explore the emergence of “Roma health and wellbeing” as a focus of attention in European research and in policy and the possible detrimental consequences of action founded on a generic representation of “Roma health.” Design/methodology/approach Based on discussions with and research conducted by scholars who work directly with Roma communities across European regions from a wide range of academic disciplines it suggests how future research might inform: a more nuanced understanding of the causes of poor health and wellbeing among diverse Roma populations and; actions that may have greater potential to improve the health and wellbeing among these populations. Findings In summary, the authors promote three types of research: first critical analyses that unpick the implications of current and past representations of “Roma” and “Roma health.” Second, applied participatory research that meaningfully involves people from specific self-defined Roma populations to identify important issues for their health and wellbeing. Third, learning about processes that might impact on the health and wellbeing of Roma populations from research with other populations in similarly excluded situations. Originality/value The authors provide a multidisciplinary perspective to inform research that does not perpetuate further alienation and prejudice, but promotes urgent action to redress the social and health injustices experienced by diverse Roma populations across Europe.

The big data revolution presents an exciting frontier to expand public health research, broadening the scope of research and increasing the precision of answers. Despite these advances, scientists must be vigilant against also advancing potential harms toward marginalized communities. In this review, we provide examples in which big data applications have (unintentionally) perpetuated discriminatory practices, while also highlighting opportunities for big data applications to advance equity in public health. Here, big data is framed in the context of the five Vs (volume, velocity, veracity, variety, and value), and we propose a sixth V, virtuosity, which incorporates equity and justice frameworks. Analytic approaches to improving equity are presented using social computational big data, fairness in machine learning algorithms, medical claims data, and data augmentation as illustrations. Throughout, we emphasize the biasing influence of data absenteeism and positionality and conclude with recommendations for incorporating an equity lens into big data research. Expected final online publication date for the Annual Review of Public Health, Volume 43 is April 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

The United States (U.S.) has a plan to end the HIV epidemic by 2030. The plan’s first pillar prioritizes HIV testing. Social Network Strategy (SNS) is an intervention to reach persons not routinely testing for HIV. We conducted a systematic review of SNS to understand its implementation to optimize HIV testing in the U.S. among key populations. The eligibility criteria included peer-reviewed papers based in the U.S. and focused on HIV testing. We identified and thematically analyzed 14 articles to explore factors associated with successful implementation. Key themes included: (1) social network and recruiter characteristics; (2) strategies for and effectiveness of recruiting key populations; (3) use of and types of incentives; (4) trust, confidentiality, and stigma concerns; and (5) implementation plans and real-world guidance. Cohort studies indicated that SNS detects more incident HIV cases. Partnerships with health departments are critical to confirm new diagnoses, as are developing plans that support recruiters and staff. SNS is a promising strategy to optimize HIV testing among key populations.