Has Pre-exposure Prophylaxis Made a Difference at a Population Level? Jury Is Still Out

Understanding adaptive responses in PrEP service delivery in Belgian HIV clinics: a multiple case study using an implementation science framework

INTRODUCTION

In Belgium, oral HIV pre-exposure prophylaxis (PrEP) is primarily provided in specialized clinical settings. Optimal implementation of PrEP services can help to substantially reduce HIV transmission. However, insights into implementation processes, and their complex interactions with local context, are limited. This study examined factors that influence providers' adaptive responses in the implementation of PrEP services in Belgian HIV clinics.

METHODS

We conducted a qualitative multiple case study on PrEP care implementation in eight HIV clinics. Thirty-six semi-structured interviews were conducted between January 2021 and May 2022 with a purposive sample of PrEP care providers (e.g. physicians, nurses, psychologists), supplemented by 50 hours of observations of healthcare settings and clinical interactions. Field notes from observations and verbatim interview transcripts were thematically analysed guided by a refined iteration of extended Normalisation Process Theory.

RESULTS

Implementing PrEP care in a centralized service delivery system required considerable adaptive capacity of providers to balance the increasing workload with an adequate response to PrEP users' individual care needs. As a result, clinic structures were re-organized to allow for more efficient PrEP care processes, compatible with other clinic-level priorities. Providers adapted clinical and policy norms on PrEP care (e.g. related to PrEP prescribing practices and which providers can deliver PrEP services), to flexibly tailor care to individual clients' situations. Interprofessional relationships were reconfigured in line with organizational and clinical adaptations; these included task-shifting from physicians to nurses, leading them to become increasingly trained and specialized in PrEP care. As nurse involvement grew, they adopted a crucial role in responding to PrEP users' non-medical needs (e.g. providing psychosocial support). Moreover, clinicians' growing collaboration with sexologists and psychologists, and interactions with PrEP users' family physician, became crucial in addressing complex psychosocial needs of PrEP clients, while also alleviating the burden of care on busy HIV clinics.

CONCLUSIONS

Our study in Belgian HIV clinics reveals that the implementation of PrEP care presents a complex-multifaceted-undertaking that requires substantial adaptive work to ensure seamless integration within existing health services. To optimize integration in different settings, policies and guidelines governing PrEP care implementation should allow for sufficient flexibility and tailoring according to respective local health systems.

HIV PrEP Coverage Among Black Adults: A Concept Analysis of the Inequities, Disparities, and Implications

Background

Significant racial disparities exist in HIV pre-exposure prophylaxis (PrEP) coverage in the United States (U.S), with Black individuals experiencing seven times higher new HIV infection rates compared to their White counterparts. Despite being the highest priority population at risk for HIV, Black adults have the lowest PrEP coverage, impacting the overall progress toward meeting the ending the HIV epidemic (EHE) goals in the U.S.

Methods

Utilizing the Walker and Avant method, this concept analysis examined existing literature and U.S. Centers for Disease Control and Prevention resources to explore HIV PrEP coverage.

Results

Findings highlighted a lack of clarity in the concept, resulting in four operational definitions. To address this ambiguity, a conceptual definition of HIV PrEP coverage was proposed, focusing on equitable access to PrEP medication among sexually active individuals aged 18-64 years, particularly those traditionally underserved and would benefit from PrEP. This inclusive definition aims to align with the dynamics of sexual behavior in racial minority groups. Key attributes of this conceptual definition include estimates of PrEP use, access, need, cost, side effects, frequency of HIV testing, and self-efficacy. Antecedents entail HIV status, testing behaviors, transmission risks, and communication with health care providers. Consequences involve perceptions of risk, screening routines, provider biases, stigma, and potential HIV transmission reduction.

Conclusion

Analyzing HIV PrEP coverage offers useful insights into social and structural factors exacerbating health inequities in the field of HIV prevention and control. This concept analysis underscores the importance of unified sexual health communication, diverse approaches to PrEP access for racial minorities, and improved sexual health policies for Black adults. Moreover, understanding and advocating for equity in HIV PrEP coverage is crucial for addressing the existing racial disparities and achieving the EHE objectives in the U.S.

Correlations between community-level HIV preexposure prophylaxis coverage and individual-level sexual behaviors among United States MSM

OBJECTIVE

To evaluate if community-level HIV PrEP coverage is correlated with individual sexual behaviors.

DESIGN

We used demographic, behavioral, and sexual network data from ARTnet, a 2017-2019 study of United States MSM.

METHODS

Multivariable regression models with a Bayesian modeling framework were used to estimate associations between area-level PrEP coverage and seven sexual behavior outcomes [number of total, main, and casual male partners (network degree); count of one-time partnerships; consistent condom use in one-time partnerships; and frequency of casual partnership anal sex (total and condomless)], controlling for individual PrEP use.

RESULTS

PrEP coverage ranged from 10.3% (Philadelphia) to 38.9% (San Francisco). Total degree was highest in Miami (1.35) and lowest in Denver (0.78), while the count of one-time partners was highest in San Francisco (11.7/year) and lowest in Detroit (1.5/year). Adjusting for individual PrEP use and demographics, community PrEP coverage correlated with total degree [adjusted incidence rate ratio (aIRR) = 1.73; 95% credible interval (CrI), 0.92-3.44], casual degree (aIRR = 2.05; 95% CrI, 0.90-5.07), and count of one-time partnerships (aIRR = 1.90; 95% CrI, 0.46-8.54). Without adjustment for individual PrEP use, these associations strengthened. There were weaker or no associations with consistent condom use in one-time partnerships (aIRR = 1.68; 95% CrI, 0.86-3.35), main degree (aIRR = 1.21; 95% CrI, 0.48-3.20), and frequency of casual partnership condomless anal sex (aIRR = 0.23; 95% CrI, 0.01-3.60).

CONCLUSION

Most correlations between community PrEP coverage and sexual behavior were explained by individual PrEP use. However, some residual associations remained after controlling for individual PrEP use, suggesting that PrEP coverage may partially drive community-level differences in sexual behaviors.

Cost-Effectiveness of Interventions to Improve HIV Pre-exposure Prophylaxis Initiation, Adherence, and Persistence Among Men Who Have Sex With Men

BACKGROUND

To help achieve Ending the HIV Epidemic (EHE) goals of reducing new HIV incidence, pre-exposure prophylaxis (PrEP) use and engagement must increase despite multidimensional barriers to scale-up and limitations in funding. We investigated the cost-effectiveness of interventions spanning the PrEP continuum of care.

SETTING

Men who have sex with men in Atlanta, GA, a focal jurisdiction for the EHE plan.

METHODS

Using a network-based HIV transmission model, we simulated lifetime costs, quality-adjusted life years (QALYs), and infections averted for 8 intervention strategies using a health sector perspective. Strategies included a status quo (no interventions), 3 distinct interventions (targeting PrEP initiation, adherence, or persistence), and all possible intervention combinations. Cost-effectiveness was evaluated incrementally using a $100,000/QALY gained threshold. We performed sensitivity analyses on PrEP costs, intervention costs, and intervention coverage.

RESULTS

Strategies averted 0.2%-4.2% new infections and gained 0.0045%-0.24% QALYs compared with the status quo. Initiation strategies achieved 20%-23% PrEP coverage (up from 15% with no interventions) and moderate clinical benefits at a high cost, while adherence strategies were relatively low cost and low benefit. Under our assumptions, the adherence and initiation combination strategy was cost-effective ($86,927/QALY gained). Sensitivity analyses showed no strategies were cost-effective when intervention costs increased by 60% and the strategy combining all 3 interventions was cost-effective when PrEP costs decreased to $1000/month.

CONCLUSION

PrEP initiation interventions achieved moderate public health gains and could be cost-effective. However, substantial financial resources would be needed to improve the PrEP care continuum toward meeting EHE goals.

Brief Report: HIV Pre-exposure Prophylaxis Prescribing in an Urban Safety-Net Health System

INTRODUCTION

Safety-net health systems are key settings for HIV pre-exposure prophylaxis (PrEP) implementation, but little evidence is available about the frequency of PrEP prescribing in safety-net settings. We assessed PrEP prescribing among people with indications for PrEP at an urban safety-net health system that serves a county designated as an Ending the HIV Epidemic priority jurisdiction.

METHODS

We identified adults (aged 18 years or older) who engaged in primary care between January 2015 and December 2019 and had a documented indication for PrEP. PrEP indications included the presence of a behavioral or sexual risk factor of HIV acquisition or a positive bacterial sexually transmitted infection at the index visit. PrEP prescribing was defined as the proportion of patients with indications for PrEP who received a new prescription for PrEP. We estimated the cumulative incidence of PrEP prescription with corresponding 95% confidence limits (CL).

RESULTS

Our study population comprised 2957 individuals, of whom 58% was aged younger than 45 years, 56% was women, 67% was racial or ethnic minorities, and 60% was uninsured or provided care as part of a hospital-based managed care plan for individuals without insurance. We identified 41 individuals who were prescribed PrEP. The cumulative incidence of PrEP prescribing within 1 year of the first documented PrEP indication was 1.3% (95% CL: 0.91% to 1.7%).

CONCLUSIONS

Our results suggest extremely low frequency of PrEP prescribing among people with indications for PrEP in an urban safety-net health system. Strategies are needed to improve PrEP implementation in high-priority populations and safety-net settings.

A decision analytics model to optimize investment in interventions targeting the HIV preexposure prophylaxis cascade of care

OBJECTIVES

Gaps between recommended and actual levels of HIV preexposure prophylaxis (PrEP) use remain among MSM. Interventions can address these gaps but it is unknown how public health initiatives should invest prevention funds into these interventions to maximize their population impact.

DESIGN

We used a stochastic network-based HIV transmission model for MSM in the Atlanta area paired with an economic budget optimization model.

METHODS

The model simulated MSM participating in up to three real-world PrEP cascade interventions designed to improve initiation, adherence, or persistence. The primary outcome was infections averted over 10 years. The budget optimization model identified the investment combination under different budgets that maximized this outcome, given intervention costs from a payer perspective.

RESULTS

From the base 15% PrEP coverage level, the three interventions could increase coverage to 27%, resulting in 12.3% of infections averted over 10 years. Uptake of each intervention was interdependent: maximal use of the adherence and persistence interventions depended on new PrEP users generated by the initiation intervention. As the budget increased, optimal investment involved a mixture of the initiation and persistence interventions but not the adherence intervention. If adherence intervention costs were halved, the optimal investment was roughly equal across interventions.

CONCLUSION

Investments into the PrEP cascade through initiatives should account for the interactions of the interventions as they are collectively deployed. Given current intervention efficacy estimates, the total population impact of each intervention may be improved with greater total budgets or reduced intervention costs.