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UNLABELLED: IntroductionInnovative interventions are needed to improve HIV outcomes among adolescents and young adults (AYAs) living with HIV. Engaging AYAs in intervention development could increase effectiveness and youth acceptance, yet research is limited. We applied human-centred design (HCD) to refine adherence-support interventions pretrial and assessed HCD workshop acceptability. METHODS: We applied an iterative, four-phased HCD process in Kenya that included: (1) systematic review of extant knowledge, (2) prioritisation of design challenges, (3) a co-creation workshop and (4) translation tables to pair insights with trial intervention adaptations. The co-creation workshop was co-led by youth facilitators employing participatory activities to inform intervention adaptations. Iterative data analysis included rapid thematic analysis of visualised workshop outputs and notes using affinity mapping and dialogue to identify key themes. We conducted a survey to assess workshop acceptability among participants. RESULTS: Twenty-two participants engaged in the 4-day workshop. Co-creation activities yielded recommendations for improving planned interventions (eg, message frequency and content; strategies to engage hard-to-reach participants), critical principles to employ across interventions (eg, personalisation, AYA empowerment) and identification of unanticipated AYA HIV treatment priorities (eg, drug holidays, transition from adolescent to adult services). We revised intervention content, peer navigator training materials and study inclusion criteria in response to findings. The youth-led HCD workshop was highly acceptable to participants. CONCLUSIONS: Research employing HCD among youth can improve interventions preimplementation through empathy, youth-led inquiry and real-time problem solving. Peer navigation may be most influential in improving retention when engagement with young people is based on mutual trust, respect, privacy and extends beyond HIV-specific support. Identifying opportunities for personalisation and adaptation within intervention delivery is important for AYAs. Patient engagement interventions that target young people should prioritise improved transition between youth and adult services, youth HIV status disclosure, AYA empowerment and healthcare worker responsiveness in interactions and episodic adherence interruptions.

Personalized intervention strategies, in particular those that modify treatment based on a participants own response, are a core component of precision medicine approaches. Sequential multiple assignment randomized trials (SMARTs) are growing in popularity and are specifically designed to facilitate the evaluation of sequential adaptive strategies, in particular those embedded within the SMART. Advances in efficient estimation approaches that are able to incorporate machine learning while retaining valid inference can allow for more precise estimates of the effectiveness of these embedded regimes. However, to the best of our knowledge, such approaches have not yet been applied as the primary analysis in SMART trials. In this paper, we present a robust and efficient approach using targeted maximum likelihood estimation (TMLE) for estimating and contrasting expected outcomes under the dynamic regimes embedded in a SMART, together with generating simultaneous confidence intervals for the resulting estimates. We contrast this method with two alternatives (G-computation and inverse probability weighting estimators). The precision gains and robust inference achievable through the use of TMLE to evaluate the effects of embedded regimes are illustrated using both outcome-blind simulations and a real-data analysis from the Adaptive Strategies for Preventing and Treating Lapses of Retention in Human Immunodeficiency Virus (HIV) Care (ADAPT-R) trial (NCT02338739), a SMART with a primary aim of identifying strategies to improve retention in HIV care among people living with HIV in sub-Saharan Africa.

BACKGROUND: Adolescents and young adults living with HIV (AYAH) aged 14-24 years in Africa experience substantially higher rates of virological failure and HIV-related mortality than adults. We propose to utilize developmentally appropriate interventions with high potential for effectiveness, tailored by AYAH pre-implementation, in a sequential multiple assignment randomized trial (SMART) aimed at improving viral suppression for AYAH in Kenya. METHODS: Using a SMART design, we will randomize 880 AYAH in Kisumu, Kenya to either youth-centered education and counseling (standard of care) or electronic peer navigation in which a peer provides support, information, and counseling via phone and automated monthly text messages. Those with a lapse in engagement (defined as either a missed clinic visit by ≥14 days or HIV viral load ≥1000 copies/ml) will be randomized a second time to one of three higher-intensity re-engagement interventions: This study will evaluate which interventions and which dynamic sequence of interventions improve sustained viral suppression and HIV care engagement in AYAH at 24 months post-enrollment and assess the cost-effectiveness of successful strategies. DISCUSSION: The study utilizes promising interventions tailored to AYAH while optimizing resources by intensifying services only for those AYAH who need more support. Findings from this innovative study will offer evidence for public health programming to end the HIV epidemic as a public health threat for AYAH in Africa. TRIAL REGISTRATION: Clinicaltrials.govNCT04432571, registered June 16, 2020.

BACKGROUND: Optimizing retention in human immunodeficiency virus (HIV) treatment may require sequential behavioral interventions based on patients response. METHODS: In a sequential multiple assignment randomized trial in Kenya, we randomly assigned adults initiating HIV treatment to standard of care (SOC), Short Message Service (SMS) messages, or conditional cash transfers (CCT). Those with retention lapse (missed a clinic visit by ≥14 days) were randomly assigned again to standard-of-care outreach (SOC-Outreach), SMS+CCT, or peer navigation. Those randomly assigned to SMS or CCT who did not lapse after 1 year were randomly assigned again to either stop or continue the initial intervention. Primary outcomes were retention in care without an initial lapse, return to the clinic among those who lapsed, and time in care; secondary outcomes included adjudicated viral suppression. Average treatment effect (ATE) was calculated using targeted maximum likelihood estimation with adjustment for baseline characteristics at randomization and certain time-varying characteristics at rerandomization. RESULTS: Among 1809 participants, 79.7% of those randomly assigned to CCT (n=523/656), 71.7% to SMS (n=393/548), and 70.7% to SOC (n=428/605) were retained in care in the first year (ATE: 9.9%; 95% confidence interval [CI]: 5.4%, 14.4% and ATE: 4.2%; 95% CI: -0.7%, 9.2% for CCT and SMS compared with SOC, respectively). Among 312 participants with an initial lapse who were randomly assigned again, 69.1% who were randomly assigned to a navigator (n=76/110) returned, 69.5% randomly assigned to CCT+SMS (n=73/105) returned, and 55.7% randomly assigned to SOC-Outreach (n=54/97) returned (ATE: 14.1%; 95% CI: 0.6%, 27.6% and ATE: 11.4%; 95% CI: -2.2%, 24.9% for navigator and CCT+SMS compared with SOC-Outreach, respectively). Among participants without lapse on SMS, continuing SMS did not affect retention (n=122/180; 67.8% retained) versus stopping (n=151/209; 72.2% retained; ATE: -4.4%; 95% CI: -16.6%, 7.9%). Among participants without lapse on CCT, those continuing CCT had higher retention (n=192/230; 83.5% retained) than those stopping (n=173/287; 60.3% retained; ATE: 28.6%; 95% CI: 19.9%, 37.3%). Among 15 sequenced strategies, initial CCT, escalated to navigator if lapse occurred and continued if no lapse occurred, increased time in care (ATE: 7.2%, 95% CI: 3.7%, 10.7%) and viral suppression (ATE: 8.2%, 95% CI: 2.2%, 14.2%), the most compared with SOC throughout. Initial SMS escalated to navigator if lapse occurred, and otherwise continued, showed similar effect sizes compared with SOC throughout. CONCLUSIONS: Active interventions to prevent retention lapses followed by navigation for those who lapse and maintenance of initial intervention for those without lapse resulted in best overall retention and viral suppression among the strategies studied. Among those who remained in care, discontinuation of CCT, but not SMS, compromised retention and suppression. (Funded by National Institutes of Health grants R01 MH104123, K24 AI134413, and R01 AI074345; ClinicalTrials.gov number, NCT02338739.).

PURPOSE OF REVIEW: Despite the growing availability of effective HIV prevention and treatment interventions, there are large gaps in their uptake and sustained use across settings. It is crucial to elicit and apply patients and stakeholders preferences to maximize the impact of existing and future interventions. This review summarizes quantitative preference elicitation methods (PEM) and how they can be applied to improve the delivery and uptake of HIV prevention and treatment interventions. RECENT FINDINGS: PEM are increasingly applied in HIV implementation research; however, discrete choice experiments (DCEs) have predominated. Beyond DCEs, there are other underutilized PEM that may improve the reach and effectiveness of HIV prevention and treatment interventions among individuals by prioritizing their barriers to engagement and determining which attributes of interventions and delivery strategies are most valued. PEM can also enhance the adoption and sustained implementation of strategies to deliver HIV prevention and treatment interventions by assessing which attributes are the most acceptable and appropriate to key stakeholders. SUMMARY: Greater attention to and incorporation of patients and stakeholders preferences for HIV prevention and treatment interventions and their delivery has the potential to increase the number of persons accessing and retained in HIV prevention and treatment services.

The causal dose–response curve is commonly selected as the statistical parameter of interest in studies where the goal is to understand the effect of a continuous exposure on an outcome. Most of the available methodology for statistical inference on the dose-response function in the continuous exposure setting requires strong parametric assumptions on the probability distribution. Such parametric assumptions are typically untenable in practice and lead to invalid inference. It is often preferable to instead use nonparametric methods for inference, which only make mild assumptions about the data-generating mechanism. We propose a nonparametric test of the null hypothesis that the dose-response function is equal to a constant function. We argue that when the null hypothesis holds, the dose-response function has zero variance. Thus, one can test the null hypothesis by assessing whether there is sufficient evidence to claim that the variance is positive. We construct a novel estimator for the variance of the dose-response function, for which we can fully characterize the null limiting distribution and thus perform well-calibrated tests of the null hypothesis. We also present an approach for constructing simultaneous confidence bands for the dose-response function by inverting our proposed hypothesis test. We assess the validity of our proposal in a simulation study. In a data example, we study, in a population of patients who have initiated treatment for HIV, how the distance required to travel to an HIV clinic affects retention in care.

BackgroundDespite longstanding guidelines endorsing isoniazid preventive therapy (IPT) for people with HIV, uptake is low across sub-Saharan Africa. Mid-level health managers oversee IPT programmes nationally; interventions aimed at this group have not been tested. We aimed to establish whether providing structured leadership and management training and facilitating subregional collaboration and routine data feedback to mid-level managers could increase IPT initiation among people with HIV compared with standard practice.MethodsWe conducted a cluster randomised trial in Uganda among district-level health managers. We randomly assigned clusters of between four and seven managers in a 1:1 ratio to intervention or control groups. Our intervention convened managers into mini-collaboratives facilitated by Ugandan experts in tuberculosis and HIV, and provided business leadership and management training, SMS platform access, and data feedback. The control was standard practice. Participants were not masked to trial group, but study statisticians were masked until trial completion. The primary outcome was IPT initiation rates among adults with HIV in facilities overseen by participants over a period of 2 years (2019-21). We conducted prespecified analyses that excluded the third quarter of 2019 (Q3-2019) to understand intervention effects independent of a national 100-day IPT push tied to a financial contingency during Q3-2019. This trial is registered with ClinicalTrials.gov (NCT03315962), and is ongoing.FindingsBetween Nov 15, 2017, and March 14, 2018, managers from 82 of 82 eligible districts (61% of Uganda's 135 districts) were enrolled and randomised: 43 districts to intervention, 39 to control. Intervention delivery took place between Dec 6, 2017, and Feb 2, 2022. Over 2 years, IPT initiation rates were 0·74 versus 0·65 starts per person-year in intervention versus control groups (incidence rate ratio [IRR] 1·14, 95% CI 0·88-1·46; p=0·16). Excluding Q3-2019, IPT initiation was higher in the intervention group versus the control group: 0·32 versus 0·25 starts per person-year (IRR 1·27, 95% CI 1·00-1·61; p=0·026).InterpretationFollowing an intervention targeting managers in more than 60% of Uganda's districts, IPT initiation rates were not significantly higher in intervention than control groups. After accounting for large increases in IPT from a 100-day push in both groups, the intervention led to significantly increased IPT rates, sustained after the push and during the COVID-19 pandemic. Our findings suggest that interventions centred on mid-level health managers can improve IPT implementation on a large, subnational scale, and merit further exploration to address key public health challenges for which strong evidence exists but implementation remains suboptimal.FundingNational Institute of Allergy and Infectious Diseases.

Author(s): Elvin H. Geng 1,*, Ana Mocumbi 2, Wilbroad Mutale 3, Victor Davila-Roman 1, Michael Reid 4,5 Pinto and colleagues find that growth of the community-based primary care led to [...]

Global progress over the past 20 years has turned the tide on the HIV epidemic. Many countries are close to, and some have even reached, the UNAIDS 90‐90‐90 (and now [...]

INTRODUCTION In 2019, the Ending the HIV Epidemic (EHE) initiative was announced in the United States, with the goal of reducing HIV incidence by 90% in priority jurisdictions by 2030 [...], : Introduction: Improving the delivery of existing evidence‐based interventions to prevent and diagnose HIV is key to Ending the HIV Epidemic in the United States. Structural barriers in the access and delivery of related health services require municipal or state‐level policy changes; however, suboptimal implementation can be addressed directly through interventions designed to improve the reach, effectiveness, adoption or maintenance of available interventions. Our objective was to estimate the cost‐effectiveness and potential epidemiological impact of six real‐world implementation interventions designed to address these barriers and increase the scale of delivery of interventions for HIV testing and pre‐exposure prophylaxis (PrEP) in three US metropolitan areas. Methods: We used a dynamic HIV transmission model calibrated to replicate HIV microepidemics in Atlanta, Los Angeles (LA) and Miami. We identified six implementation interventions designed to improve HIV testing uptake (“Academic detailing for HIV testing,” “CyBER/testing,” “All About Me”) and PrEP uptake/persistence (“Project SLIP,” “PrEPmate,” “PrEP patient navigation”). Our comparator scenario reflected a scale‐up of interventions with no additional efforts to mitigate implementation and structural barriers. We accounted for potential heterogeneity in population‐level effectiveness across jurisdictions. We sustained implementation interventions over a 10‐year period and evaluated HIV acquisitions averted, costs, quality‐adjusted life years and incremental cost‐effectiveness ratios over a 20‐year time horizon (2023–2042). Results: Across jurisdictions, implementation interventions to improve the scale of HIV testing were most cost‐effective in Atlanta and LA (CyBER/testing cost‐saving and All About Me cost‐effective), while interventions for PrEP were most cost‐effective in Miami (two of three were cost‐saving). We estimated that the most impactful HIV testing intervention, CyBER/testing, was projected to avert 111 (95% credible interval: 110–111), 230 (228–233) and 101 (101–103) acquisitions over 20 years in Atlanta, LA and Miami, respectively. The most impactful implementation intervention to improve PrEP engagement, PrEPmate, averted an estimated 936 (929–943), 860 (853–867) and 2152 (2127–2178) acquisitions over 20 years, in Atlanta, LA and Miami, respectively. Conclusions: Our results highlight the potential impact of interventions to enhance the implementation of existing evidence‐based interventions for the prevention and diagnosis of HIV.

INTRODUCTION Among people living with HIV (PLWH) globally in 2021, an estimated 85% knew their HIV status, 75% were on antiretroviral therapy (ART) and 68% achieved viral suppression [1]. Progress [...], : Introduction: In low‐ and middle‐income countries (LMICs), which are disproportionately affected by the HIV epidemic and manage limited resources, optimized implementation strategies are needed to enhance the efficiency of the HIV response. Assessing strategy usage to date could identify research gaps and inform future implementation efforts. We conducted a systematic review to describe the features and distributions of published implementation strategies attempting to improve HIV treatment service delivery and outcomes. Methods: We searched PubMed, Embase, and CINAHL and screened abstracts and full texts published between 1 January 2014 and 27 August 2021, for English‐language studies conducted in LMICs that described the implementation of HIV intervention and reported at least one HIV care cascade outcome, ranging from HIV testing to viral suppression. Implementation strategies were inductively specified, characterized by unique combinations of actor, action and action target, and summarized based on existing implementation strategy taxonomies. All strategies included in this study were independently reviewed to ensure accuracy and consistency. Results: We identified 44,126 abstracts and reviewed 1504 full‐text manuscripts. Among 485 included studies, 83% were conducted in sub‐Saharan Africa; the rest were conducted in South‐East Asia and Western Pacific (12%), and the Americas (8%). A total of 7253 unique implementation strategies were identified, including changing health service delivery (48%) and providing capacity building and support strategies (34%). Healthcare providers and researchers led 59% and 28% of the strategies, respectively. People living with HIV and their communities (62%) and healthcare providers (38%) were common strategy targets. Strategies attempting to change governance, financial arrangements and implementation processes were rarely reported. Discussion: We identified a range of published implementation strategies that addressed HIV cascade outcomes, though some key gaps exist. We may need to expand the application of implementation strategies to ensure that all stakeholders are meaningfully involved to support equitable implementation efforts across the geographic regions and target populations, and to optimize implementation outcomes. Conclusions: Some health service delivery and capacity building and support strategies have been most commonly used to date. Future research and implementation may incorporate a more diverse range of strategies and detailed reporting on their usage to inform improved HIV responses globally.

INTRODUCTION Programme science aims to improve the design, implementation and impact of public health programmes through the systematic application of theoretical and empirical scientific knowledge [1–5]. It is a framework [...], : Introduction: “Programme science” deploys scientific methods to address questions that are a priority to support the impact of public health programmes. As such, programme science responds to the challenges of making such studies: (1) feasible to undertake, (2) useful, (3) rigorous, (4) real‐world‐relevant, (5) informative, and undertaken by (6) equitable partnerships. The acronym “FURRIE” is proposed to describe this set of six challenges. This paper discusses selected HIV/STI (sexually transmitted infection) programme science case studies to illustrate how programme science rises to the FURRIE challenges. Discussion: One way in which programme science is made more feasible is through the analysis and interpretation of data collected through service delivery. For some questions, these data can be augmented through methods that reach potential clients of services who have not accessed services or been lost to follow‐up. Process evaluation can enhance the usefulness of programme science by studying implementation processes, programme−client interactions and contextual factors. Ensuring rigour by limiting bias and confounding in the real‐world context of programme science studies requires methodological innovation. Striving for scientific rigour can also have the unintended consequence of creating a gap between what happens in a study, and what happens in the “real‐world.” Community‐led monitoring is one approach to grounding data collection in the real‐world experience of clients. Evaluating complex, context‐specific strategies to strengthen health outcomes in a way that is informative for other settings requires clear specification of the intervention packages that are planned and delivered in practice. Programme science provides a model for equitable partnership through co‐leadership between programmes, researchers and the communities they serve. Conclusions: Programme science addresses the FURRIE challenges, thereby improving programme impact and ultimately health outcomes and health equity. The adoption and adaptation of the types of novel programme science approaches showcased here should be promoted within and beyond the HIV/STI field.

Novel "differentiated service delivery" models for HIV treatment that reduce clinic visit frequency, minimize waiting time, and deliver treatment in the community promise retention improvement for HIV treatment in Sub-Saharan Africa. Quantitative assessments of differentiated service delivery (DSD) feature most preferred by patient populations do not widely exist but could inform selection and prioritization of different DSD models. We used a discrete choice experiment (DCE) to elicit patient preferences of HIV treatment services and how they differ across DSD models. We surveyed 18+year-olds, enrolled in HIV care for ≥6 months between February-March, 2019 at four facilities in Kisumu County, Kenya. DCE offered patients a series of comparisons between three treatment models, each varying across seven attributes: ART refill location, quantity of dispensed ART at each refill, medication pick-up hours, type of adherence support, clinical visit frequency, staff attitude, and professional cadre of person providing ART refills. We used hierarchical Bayesian model to estimate attribute importance and relative desirability of care characteristics, latent class analysis (LCA) for groups of preferences and mixed logit model for willingness to trade analysis. Of 242 patients, 128 (53.8%) were females and 150 (62.8%) lived in rural areas. Patients placed greatest importance on ART refill location [19.5% (95% CI 18.4, 10.6) and adherence support [19.5% (95% CI 18.17, 20.3)], followed by staff attitude [16.1% (95% CI 15.1, 17.2)]. In the mixed logit, patients preferred nice attitude of staff (coefficient = 1.60), refill ART health center (Coeff = 1.58) and individual adherence support (Coeff = 1.54), 3 or 6 months for ART refill (Coeff = 0.95 and 0.80, respectively) and pharmacists (instead of lay health workers) providing ART refill (Coeff = 0.64). No differences were observed by gender or urbanicity. LCA revealed two distinct groups (59.5% vs. 40.5%). Participants preferred 3 to 6-month refill interval or clinic visit spacing, which DSD offers stable patients. While DSD has encouraged community ART group options, our results suggest strong preferences for ART refills from health-centers or pharmacists over lay-caregivers or community members. These preferences held across gender&urban/rural subpopulations.

Growing literature has shown heterogenous effects of conditional cash incentives (CCIs) on HIV care retention. The field lacks insights into reasons why incentives impact various patients in different ways-differences that may be due to variations in psychological and social mechanisms of effect. A deeper understanding of patients' perceptions and experiences of CCIs for retention may help to clarify these mechanisms. We conducted a qualitative study embedded in the ADAPT-R trial (NCT#02338739), a sequential multiple assignment randomized trial (SMART) that evaluated economic incentives to support retention in HIV care among persons living with HIV (PLHIV) initiating antiretroviral therapy in Kenya. Participants who attended their scheduled clinic visits received an incentive of approximately $4 each visit. Interviews were conducted between July 2016 and June 2017 with 39 participants to explore attitudes and experiences with economic incentives conditional on care engagement. Analyses revealed that incentives helped PLHIV prioritize care-seeking by alleviating transport barriers and food insecurity: "I decided to forgo [work] and attend clinic […] the voucher relieved me". Patients who borrowed money for care-seeking reported feeling relieved from the burden of indebtedness to others: "I borrow with confidence that I will pay after my appointment." Incentives fostered their autonomy, and enabled them to support others: "I used the money to buy some clothes and Pampers for the children." Participants who were intrinsically motivated to engage in care ("my life depends on the drugs, not the incentive"), and those who mistrusted researchers, reported being less prompted by the incentive itself. For patients not already prioritizing care-seeking, incentives facilitated care engagement through alleviating transport costs, indebtedness and food insecurity, and also supported social role fulfillment. Conditional cash incentives may be an important cue to action to improve progression through the HIV treatment cascade, and contribute to better care retention.

BackgroundOptimizing services to facilitate engagement and retention in care of people living with HIV (PLWH) on antiretroviral therapies (ARTs) is critical to decrease HIV-related morbidity and mortality and HIV transmission. We systematically reviewed the literature for the effectiveness of implementation strategies to reestablish and subsequently retain clinical contact, improve viral load suppression, and reduce mortality among patients who had been lost to follow-up (LTFU) from HIV services.Methods and findingsWe searched 7 databases (PubMed, Cochrane, ERIC, PsycINFO, EMBASE, Web of Science, and the WHO regional databases) and 3 conference abstract archives (CROI, IAC, and IAS) to find randomized trials and observational studies published through 13 April 2020. Eligible studies included those involving children and adults who were diagnosed with HIV, had initiated ART, and were subsequently lost to care and that reported at least one review outcome (return to care, retention, viral suppression, or mortality). Data were extracted by 2 reviewers, with discrepancies resolved by a third. We characterized reengagement strategies according to how, where, and by whom tracing was conducted. We explored effects, first, among all categorized as LTFU from the HIV program (reengagement program effect) and second among those found to be alive and out of care (reengagement contact outcome). We used random-effect models for meta-analysis and conducted subgroup analyses to explore heterogeneity. Searches yielded 4,244 titles, resulting in 37 included studies (6 randomized trials and 31 observational studies). In low- and middle-income countries (LMICs) (N = 16), tracing most frequently involved identification of LTFU from the electronic medical record (EMR) and paper records followed by a combination of telephone calls and field tracing (including home visits), by a team of outreach workers within 3 months of becoming LTFU (N = 7), with few incorporating additional strategies to support reengagement beyond contact (N = 2). In high-income countries (HICs) (N = 21 studies), LTFU were similarly identified through EMR systems, at times matched with other public health records (N = 4), followed by telephone calls and letters sent by mail or email and conducted by outreach specialist teams. Home visits were less common (N = 7) than in LMICs, and additional reengagement support was similarly infrequent (N = 5). Overall, reengagement programs were able to return 39% (95% CI: 31% to 47%) of all patients who were characterized as LTFU (n = 29). Reengagement contact resulted in 58% (95% CI: 51% to 65%) return among those found to be alive and out of care (N = 17). In 9 studies that had a control condition, the return was higher among those in the reengagement intervention group than the standard of care group (RR: 1.20 (95% CI: 1.08 to 1.32, P < 0.001). There were insufficient data to generate pooled estimates of retention, viral suppression, or mortality after the return.ConclusionsWhile the types of interventions are markedly heterogeneity, reengagement interventions increase return to care. HIV programs should consider investing in systems to better characterize LTFU to identify those who are alive and out of care, and further research on the optimum time to initiate reengagement efforts after missed visits and how to best support sustained reengagement could improve efficiency and effectiveness.

BackgroundUnderstanding patient-reported reasons for lapses of retention in human immunodeficiency virus (HIV) treatment can drive improvements in the care cascade. A systematic assessment of outcomes among a random sample of patients lost to follow-up (LTFU) from 32 clinics in Zambia to understand the reasons for silent transfers and disengagement from care was undertaken.MethodsWe traced a simple random sample of LTFU patients (>90 days from last scheduled visit) as determined from clinic-based electronic medical records from a probability sample of facilities. Among patients found in person, we solicited reasons for either stopping or switching care and predictors for re-engagement. We coded reasons into structural, psychosocial, and clinic-based barriers.ResultsAmong 1751 LTFU patients traced and found alive, 31% of patients starting antiretroviral therapy (ART) between 1 July 2013 and 31 July 2015 silently transferred or were disengaged (40% male; median age, 35 years; median CD4 level, 239 cells/μL); median time on ART at LTFU was 480 days (interquartile range, 110-1295). Among the 544 patients not in care, median prevalences for patient-reported structural, psychosocial, and clinic-level barriers were 27.3%, 13.9%, and 13.4%, respectively, and were highly variable across facilities. Structural reasons, including, "relocated to a new place" were mostly cited among 289 patients who silently transferred (35.5%). We found that men were less likely to re-engage in care than women (odds ratio, .39; 95% confidence interval, .22-.67; P = .001).ConclusionsEfforts to improve retention of patients on ART may need to be tailored at the facility level to address patient-reported barriers.

BackgroundIn the USA, Black and Hispanic or Latinx individuals continue to be disproportionately affected by HIV. Applying a distributional cost-effectiveness framework, we estimated the cost-effectiveness and epidemiological impact of two combination implementation approaches to identify the approach that best meets the dual objectives of improving population health and reducing racial or ethnic health disparities.MethodsWe adapted a dynamic, compartmental HIV transmission model to characterise HIV micro-epidemics in six US cities: Atlanta, Baltimore, Los Angeles, Miami, New York, and Seattle. We considered combinations of 16 evidence-based interventions to diagnose, treat, and prevent HIV transmission according to previously documented levels of scale-up. We then identified optimal combination strategies for each city, with the distribution of each intervention implemented according to existing service levels (proportional services approach) and the racial or ethnic distribution of new diagnoses (between Black, Hispanic or Latinx, and White or other ethnicity individuals; equity approach). We estimated total costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios of strategies implemented from 2020 to 2030 (health-care perspective; 20-year time horizon; 3% annual discount rate). We estimated three measures of health inequality (between-group variance, index of disparity, Theil index), incidence rate ratios, and rate differences for the selected strategies under each approach.FindingsIn all cities, optimal combination strategies under the equity approach generated more QALYs than those with proportional services, ranging from a 3·1% increase (95% credible interval [CrI] 1·4-5·3) in New York to more than double (101·9% [75·4-134·6]) in Atlanta. Compared with proportional services, the equity approach delivered lower costs over 20 years in all cities except Los Angeles; cost reductions ranged from $22·9 million (95% CrI 5·3-55·7 million) in Seattle to $579·8 million (255·4-940·5 million) in Atlanta. The equity approach also reduced incidence disparities and health inequality measures in all cities except Los Angeles.InterpretationEquity-focused HIV combination implementation strategies that reduce disparities for Black and Hispanic or Latinx individuals can significantly improve population health, reduce costs, and drive progress towards Ending the HIV Epidemic goals in the USA.FundingNational Institute on Drug Abuse.

Subgroup analyses of randomized controlled trials guide resource allocation and implementation of new interventions by identifying groups of individuals who are likely to benefit most from the intervention. Unfortunately, trial populations are rarely representative of the target populations of public health or clinical interest. Unless the relevant differences between trial and target populations are accounted for, subgroup results from trials might not reflect which groups in the target population will benefit most from the intervention. Transportability provides a rigorous framework for applying results derived in potentially highly selected study populations to external target populations. The method requires that researchers measure and adjust for all variables that 1) modify the effect of interest and 2) differ between the target and trial populations. To date, applications of transportability have focused on the external validity of overall study results and understanding within-trial heterogeneity; however, this approach has not yet been used for subgroup analyses of trials. Through an example from the Iniciativa Profilaxis Pre-Exposición (iPrEx) study (multiple countries, 2007-2010) of preexposure prophylaxis for human immunodeficiency virus, we illustrate how transporting subgroup analyses can produce target-specific subgroup effect estimates and numbers needed to treat. This approach could lead to more tailored and accurate guidance for resource allocation and cost-effectiveness analyses.

BackgroundIdentifying individuals at high risk of missing HIV care provider visits could support proactive intervention. Previous prediction models for missed visits have not incorporated data beyond the individual level.MethodsWe developed prediction models for missed visits among people with HIV (PWH) with ≥1 follow-up visit in the Center for AIDS Research Network of Integrated Clinical Systems from 2010 to 2016. Individual-level (medical record data and patient-reported outcomes), community-level (American Community Survey), HIV care site-level (standardized clinic leadership survey), and structural-level (HIV criminalization laws, Medicaid expansion, and state AIDS Drug Assistance Program budget) predictors were included. Models were developed using random forests with 10-fold cross-validation; candidate models with the highest area under the curve (AUC) were identified.ResultsData from 382 432 visits among 20 807 PWH followed for a median of 3.8 years were included; the median age was 44 years, 81% were male, 37% were Black, 15% reported injection drug use, and 57% reported male-to-male sexual contact. The highest AUC was 0.76, and the strongest predictors were at the individual level (prior visit adherence, age, CD4+ count) and community level (proportion living in poverty, unemployed, and of Black race). A simplified model, including readily accessible variables available in a web-based calculator, had a slightly lower AUC of .700.ConclusionsPrediction models validated using multilevel data had a similar AUC to previous models developed using only individual-level data. The strongest predictors were individual-level variables, particularly prior visit adherence, though community-level variables were also predictive. Absent additional data, PWH with previous missed visits should be prioritized by interventions to improve visit adherence.

INTRODUCTION Person‐centred care (PCC) offers principles that promise to improve HIV prevention and care, potentially even in resource‐constrained and public health settings that typically emphasize standardization and scale. The initial [...], : Introduction: Person‐centred care (PCC) has been recognized as a critical element in delivering quality and responsive health services. The patient−provider relationship, conceptualized at the core of PCC in multiple models, remains largely unexamined in HIV care. We conducted a systematic review to better understand the types of PCC interventions implemented to improve patient−provider interactions and how these interventions have improved HIV care continuum outcomes and person‐reported outcomes (PROs) among people living with HIV in low‐ and middle‐income countries. Methods: We searched databases, conference proceedings and conducted manual targeted searches to identify randomized trials and observational studies published up to January 2023. The PCC search terms were guided by the Integrative Model of Patient‐Centeredness by Scholl. We included person‐centred interventions aiming to enhance the patient−provider interactions. We included HIV care continuum outcomes and PROs. Results: We included 28 unique studies: 18 (64.3%) were quantitative, eight (28.6.%) were mixed methods and two (7.1%) were qualitative. Within PCC patient−provider interventions, we inductively identified five categories of PCC interventions: (1) providing friendly and welcoming services; (2) patient empowerment and improved communication skills (e.g. supporting patient‐led skills such as health literacy and approaches when communicating with a provider); (3) improved individualized counselling and patient‐centred communication (e.g. supporting provider skills such as training on motivational interviewing); (4) audit and feedback; and (5) provider sensitisation to patient experiences and identities. Among the included studies with a comparison arm and effect size reported, 62.5% reported a significant positive effect of the intervention on at least one HIV care continuum outcome, and 100% reported a positive effect of the intervention on at least one of the included PROs. Discussion: Among published HIV PCC interventions, there is heterogeneity in the components of PCC addressed, the actors involved and the expected outcomes. While results are also heterogeneous across clinical and PROs, there is more evidence for significant improvement in PROs. Further research is necessary to better understand the clinical implications of PCC, with fewer studies measuring linkage or long‐term retention or viral suppression. Conclusions: Improved understanding of PCC domains, mechanisms and consistency of measurement will advance PCC research and implementation.

We examined HIV viral load non-suppression ([Formula: see text] 200 copies/mL) subsequent to person-periods (3-18 months) bookended by two self-reports of alcohol use on a standardized patient reported outcome assessment among adults in routine HIV care. We examined the relative risk (RR) of non-suppression associated with increases and decreases in alcohol use (relative to stable use), stratified by use at the start of the person-period. Increases in drinking from abstinence were associated with higher risk of viral non-suppression (low-risk without binge: RR 1.16, 95% CI 1.03, 1.32; low-risk with binge: RR 1.35, 95% CI 1.11, 1.63; high-risk: RR 1.89, 95% CI 1.16, 3.08). Decreases in drinking from high-risk drinking were weakly, and not statistically significantly associated with lower risk of viral non-suppression. Other changes in alcohol use were not associated with viral load non-suppression. Most changes in alcohol consumption among people using alcohol at baseline were not strongly associated with viral non-suppression.

ObjectivesEvaluate differences in weight change by regimen among people living with HIV (PLWH) initiating antiretroviral therapy (ART) in the current era.MethodsBetween 2012 and 2019, 3232 ART-naïve PLWH initiated ≥3-drug ART regimens in 8 Centers for AIDS Research Network of Integrated Clinical Systems sites. We estimated weight change by regimen for 11 regimens in the immediate (first 6 months) and extended (all follow-up on initial regimen) periods using linear mixed models adjusted for time on regimen, interaction between time and regimen, age, sex, race/ethnicity, hepatitis B/C coinfection, nadir CD4, smoking, diabetes, antipsychotic medication, and site. We included more recently approved regimens [eg, with tenofovir alafenamide fumarate (TAF)] only in the immediate period analyses to ensure comparable follow-up time.ResultsMean follow-up was 1.9 years on initial ART regimen. In comparison to efavirenz/tenofovir disoproxil fumarate (TDF)/emtricitabine (FTC), initiating bictegravir/TAF/FTC {3.9 kg [95% confidence interval (CI): 2.2 to 5.5]} and dolutegravir/TAF/FTC [4.4 kg (95% CI: 2.1 to 6.6)] were associated with the greatest weight gain in the immediate period, followed by darunavir/TDF/FTC [3.7 kg (95% CI: 2.1 to 5.2)] and dolutegravir/TDF/FTC [2.6 kg (95% CI: 1.3 to 3.9)]. In the extended period, compared with efavirenz/TDF/FTC, initiating darunavir/TDF/FTC was associated with a 1.0 kg (95% CI: 0.5 to 1.5) per 6-months greater weight gain, whereas dolutegravir/abacavir/FTC was associated with a 0.6-kg (95% CI: 0.3 to 0.9) and dolutegravir/TDF/FTC was associated with a 0.6-kg (95% CI: 0.1 to 1.1) per 6-months greater gain. Weight gain on dolutegravir/abacavir/FTC and darunavir/TDF/FTC was significantly greater than that for several integrase inhibitor-based regimens.ConclusionsThere is heterogeneity between regimens in weight gain following ART initiation among previously ART-naïve PLWH; we observed greater gain among PLWH taking newer integrase strand transfer inhibitors (DTG, BIC) and DRV-based regimens.

IntroductionTo improve retention on HIV treatment in Africa, public health programs are promoting a family of innovations to service delivery-referred to as "differentiated service delivery" (DSD) models-which seek to better meet the needs of both systems and patients by reducing unnecessary encounters, expanding access, and incorporating peers and patients in patient care. Data on the relative desirability of different models to target populations, which is currently sparse, can help guide prioritization of specific models during scale-up.MethodsWe conducted a discrete choice experiment to assess patient preferences for various characteristics of treatment services. Clinically stable people living with HIV were recruited from an HIV clinic in Kisumu, Kenya. We selected seven attributes of DSD models drawn from literature review and previous qualitative work. We created a balanced and orthogonal design to identify main term effects. A total of ten choice tasks were solicited per respondent. We calculated relative utility (RU) for each attribute level, a numerical representation of the strength of patient preference. Data were analyzed using a Hierarchical Bayesian model via Sawtooth Software.ResultsOne hundred and four respondents (37.5% men, 41.1 years mean age) preferred receiving care at a health facility, compared with home-delivery or a community meeting point (RU = 69.3, -16.2, and -53.1, respectively; p << 0.05); receiving those services from clinicians and pharmacists-as opposed to lay health workers or peers (RU = 21.5, 5.9, -24.5; p < 0.05); and preferred an individual support system over a group support system (RU = 15.0 and 4.2; p < 0.05). Likewise, patients strongly preferred longer intervals between both clinical reviews (RU = 40.1 and -50.7 for 6- and 1-month spacing, respectively; p < 0.05) and between ART collections (RU = 33.6 and -49.5 for 6- and1-month spacing, respectively; p < 0.05).ConclusionAlthough health systems find community- and peer-based DSD models attractive, clinically stable patients expressed a preference for facility-based care as long as clinical visits were extended to biannual. These data suggest that multi-month scripting and fast-track models best align with patient preferences, an insight which can help prioritize use of different DSD models in the region.

BackgroundDelays in the diagnosis of tuberculosis (TB) contribute to a substantial proportion of TB-related mortality, especially among people living with HIV (PLHIV). We sought to characterize the diagnostic journey for HIV-positive and HIV-negative patients with a new TB diagnosis in Zambia, to understand drivers of delay, and characterize their preferences for service characteristics to inform improvements in TB services.MethodsWe assessed consecutive adults with newly microbiologically-confirmed TB at two public health treatment facilities in Lusaka, Zambia. We administered a survey to document critical intervals in the TB care pathway (time to initial care-seeking, diagnosis and treatment initiation), identify bottlenecks and their reasons. We quantified patient preferences for a range of characteristics of health services using a discrete choice experiment (DCE) that assessed 7 attributes (distance, wait times, hours of operation, confidentiality, sex of provider, testing incentive, TB test speed and notification method).ResultsAmong 401 patients enrolled (median age of 34 years, 68.7% male, 46.6% HIV-positive), 60.9% and 39.1% were from a first-level and tertiary hospital, respectively. The median time from symptom onset to receipt of TB treatment was 5.0 weeks (IQR: 3.6-8.0) and was longer among HIV-positive patients seeking care at a tertiary hospital than HIV-negative patients (6.4 vs. 4.9 weeks, p = 0.002). The time from symptom onset to initial presentation for evaluation accounted for the majority of time until treatment initiation (median 3.0 weeks, IQR: 1.0-5.0)-an important minority of 11.0% of patients delayed care-seeking ≥8 weeks. The DCE found that patients strongly preferred same-day TB test results (relative importance, 37.2%), facilities close to home (18.0%), and facilities with short wait times (16.9%). Patients were willing to travel to a facility up to 7.6 kilometers further away in order to access same-day TB test results. Preferences for improving current TB services did not differ according to HIV status.ConclusionsProlonged intervals from TB symptom onset to treatment initiation were common, especially among PLHIV, and were driven by delayed health-seeking. Addressing known barriers to timely diagnosis and incorporating patients' preferences into TB services, including same-day TB test results, may facilitate earlier TB care engagement in high burden settings.

BackgroundExisting social relationships are a potential source of "social capital" that can enhance support for sustained retention in HIV care. A previous pilot study of a social network-based 'microclinic' intervention, including group health education and facilitated HIV status disclosure, reduced disengagement from HIV care. We conducted a pragmatic randomized trial to evaluate microclinic effectiveness.MethodsIn nine rural health facilities in western Kenya, we randomized HIV-positive adults with a recent missed clinic visit to either participation in a microclinic or usual care (NCT02474992). We collected visit data at all clinics where participants accessed care and evaluated intervention effect on disengagement from care (≥90-day absence from care after a missed visit) and the proportion of time patients were adherent to clinic visits ('time-in-care'). We also evaluated changes in social support, HIV status disclosure, and HIV-associated stigma.ResultsOf 350 eligible patients, 304 (87%) enrolled, with 154 randomized to intervention and 150 to control. Over one year of follow-up, disengagement from care was similar in intervention and control (18% vs 17%, hazard ratio 1.03, 95% CI 0.61-1.75), as was time-in-care (risk difference -2.8%, 95% CI -10.0% to +4.5%). The intervention improved social support for attending clinic appointments (+0.4 units on 5-point scale, 95% CI 0.08-0.63), HIV status disclosure to close social supports (+0.3 persons, 95% CI 0.2-0.5), and reduced stigma (-0.3 units on 5-point scale, 95% CI -0.40 to -0.17).ConclusionsThe data from our pragmatic randomized trial in rural western Kenya are compatible with the null hypothesis of no difference in HIV care engagement between those who participated in a microclinic intervention and those who did not, despite improvements in proposed intervention mechanisms of action. However, some benefit or harm cannot be ruled out because the confidence intervals were wide. Results differ from a prior quasi-experimental pilot study, highlighting important implementation considerations when evaluating complex social interventions for HIV care.Trial registrationClinical trial number: NCT02474992.

BackgroundRetention in care (RIC) leads to reduced HIV transmission and mortality. Few studies have investigated clinic services and RIC among people living with HIV (PLWH) in the United States. We conducted a multisite retrospective cohort study to identify clinic services associated with RIC from 2010-2016 in the United States.MethodsPLWH with ≥1 HIV primary care visit from 2010-2016 at 7 sites in the Centers for AIDS Research Network of Integrated Clinical Systems (CNICS) were included. Clinic-level factors evaluated via site survey included patients per provider/trainee, navigation, RIC posters/brochures, laboratory test timing, flexible scheduling, appointment reminder methods, and stigma support services. RIC was defined as ≥2 encounters per year, ≥90 days apart, observed until death, administrative censoring (31 December 2016), or loss to follow-up (censoring at first 12-month interval without a visit with no future visits). Poisson regression with robust error variance, clustered by site adjusting for calendar year, age, sex, race/ethnicity, and HIV transmission risk factor, estimated risk ratios (RRs) and 95% confidence intervals (CIs) for RIC.ResultsAmong 21 046 PLWH contributing 103 348 person-years, 67% of person-years were retained. Availability of text appointment reminders (RR, 1.13; 95% CI, 1.03-1.24) and stigma support services (RR, 1.11; 95% CI, 1.04-1.19) were associated with better RIC. Disparities persisted for age, sex, and race.ConclusionsAvailability of text appointment reminders and stigma support services was associated with higher rates of RIC, indicating that these may be feasible and effective approaches for improving RIC.

BackgroundRetention in human immunodeficiency virus (HIV) care is dynamic, with patients frequently transitioning in and out of care. Analytical approaches (eg, survival analyses) commonly used to assess HIV care cascade outcomes fail to capture such transitions and therefore incompletely represent care outcomes over time.MethodsWe analyzed antiretroviral therapy (ART)-eligible adults newly linking to care at 64 clinics in Zambia between 1 April 2014 and 31 July 2015. We used electronic medical record data and supplemented these with updated care outcomes ascertained by tracing a multistage random sample of patients lost to follow-up (LTFU, >90 days late for last appointment). We performed multistate analyses, incorporating weights from sampling, to estimate the prevalence of 9 care states over time since linkage with respect to ART initiation, retention in care, transfers, and mortality.ResultsIn sum, 23 227 patients (58% female; median age 34 years [interquartile range 28-41]) were ART-eligible at enrollment. At 1 year, 75.2% had initiated ART and were in care: 61.8% were continuously retained, 6.1% had reengaged after LTFU, and 7.3% had transferred. Also, 10.1% were LTFU within 7 days of enrollment, and 15.2% were LTFU at 1 year (6.7% prior to ART). One year after LTFU, 51.6% of those LTFU prior to ART remained out of care compared to 30.2% of those LTFU after initiating ART. Overall, 6.9% of patients had died by 1 year with 3.0% dying prior to ART.ConclusionMultistate analyses provide more complete assessments of longitudinal HIV cascade outcomes and reveal treatment gaps at distinct timepoints in care that will still need to be addressed even with universal treatment.

BackgroundRates of early syphilis in US women are steadily increasing, but predictors of infection in this group are not clearly defined.MethodsThis retrospective analysis focused on women enrolled in the US CFAR Network of Integrated Clinical Systems cohort between January 2005 and December 2016 with syphilis testing performed. The primary outcome of incident syphilis infection was defined serologically as a newly positive test with positive confirmatory testing after a negative test or a 2-dilution increase in rapid plasma regain titer. Infection rates were calculated for each woman-year in care with testing. Predictors of syphilis were sought among sociodemographics, clinical information, and self-reported behaviors. Multivariable logistic regression models were created; a subgroup analysis assessed predictors in women of reproductive age.ResultsThe annual rate of incident syphilis among 4416 women engaged in human immunodeficiency virus (HIV) care and tested during the 12-year study period was 760/100 000 person-years. Independent predictors of infection were injection drug use as a risk factor for HIV acquisition (aOR, 2.2; 95% CI, 1.3-3.9), hepatitis C infection (aOR, 1.9; 95% CI, 1.1-3.4), black race (aOR, 2.2; 95% CI, 1.3-3.7 compared with white race), and more recent entry to care (since 2005 compared with 1994-2004). Predictors were similar in women aged 18-49.ConclusionsSyphilis infection is common among US women in HIV care. Syphilis screening and prevention efforts should focus on women reporting drug use and with hepatitis C coinfection. Future studies should identify specific behaviors that mediate syphilis acquisition risk in women who use drugs.

BACKGROUND:Homelessness and unstable housing (HUH) negatively impact care outcomes for people living with HIV (PLWH). To inform design of a clinic program for PLWH experiencing HUH, we quantified patient preferences and trade-offs across multiple HIV-service domains using a discrete choice experiment (DCE). METHODS:We sequentially sampled PLWH experiencing HUH presenting at an urban HIV clinic with missed primary care visit and viremia in the last year to conduct a DCE. Participants chose between two hypothetical clinics varying across five service attributes: care team "get to know me as a person" versus not; receiving $10, $15 or $20 gift cards for clinic visits; drop-in versus scheduled visits; direct phone communication to care team versus front-desk staff; staying 2 versus 20 blocks from the clinic. We estimated attribute relative utility (i.e., preference) using mixed-effects logistic regression and calculated the monetary trade-off of preferred options. RESULTS:Among 65 individuals interviewed, 61% were >40 years-old; 45% white; 77% male; 25% heterosexual; 56% lived outdoors/emergency housing, and 44% in temporary housing. Strongest preferences were for patient-centered care team (β = 3.80; 95%CI 2.57-5.02) and drop-in clinic appointments (β = 1.33; 95%CI 0.85-1.80), with a willingness to trade $32.79 (95%CI 14.75-50.81) and $11.45 (95%CI 2.95-19.95) in gift cards/visit, respectively. CONCLUSION:In this DCE, PLWH-HUH were willing to trade significant financial gain to have a personal relationship with and drop-in access to their care team rather than clinic proximity and gift cards. These findings informed Ward 86's "POP-UP" program for PLWH-HUH and can inform "Ending the HIV Epidemic" efforts.

ObjectiveHistorically, a high burden of resistance to antiretroviral therapy (ART) in heavily treatment-experienced (HTE) persons with HIV (PWH) resulted in limited treatment options (LTOs). We evaluated the prevalence, risk factors, and virologic control of HTE PWH with LTO throughout the modern ART era.DesignWe examined all ART-experienced PWH in care between 2000 and 2017 in the Centers for AIDS Research Network of Integrated Clinical Systems cohort.MethodsWe computed the annual prevalence of HTE PWH with LTO defined as having two or less available classes with two or less active drugs per class based on genotypic data and cumulative antiretroviral resistance. We used multivariable Cox proportional hazards models to examine risk of LTO by 3-year study entry periods adjusting for demographic and clinical characteristics.ResultsAmong 27 133 ART-experienced PWH, 916 were classified as having LTO. The prevalence of PWH with LTO was 5.2-7.5% in 2000-2006, decreased to 1.8% in 2007, and remained less than 1% after 2012. Persons entering the study in 2009-2011 had an 80% lower risk of LTO compared with those entering in 2006-2008 (adjusted hazard ratio 0.20; 95% confidence interval: 0.09-0.42). We found a significant increase in undetectable HIV viral loads among PWH ever classified as having LTO from less than 30% in 2001 to more than 80% in 2011, comparable with persons who never had LTO.ConclusionResults of this large multicenter study show a dramatic decline in the prevalence of PWH with LTO to less than 1% with the availability of more potent drugs and a marked increase in virologic suppression in the current ART era.

Hepatitis C virus (HCV) infection is common among people living with human immunodeficiency virus (PLWH). Extrahepatic manifestations of HCV, including myocardial infarction (MI), are a topic of active research. MI is classified into types, predominantly atheroembolic type 1 MI (T1MI) and supply-demand mismatch type 2 MI (T2MI). We examined the association between HCV and MI among patients in the Centers for AIDS Research (CFAR) Network of Integrated Clinical Systems, a US multicenter clinical cohort of PLWH. MIs were centrally adjudicated and categorized by type using the Third Universal Definition of Myocardial Infarction. We estimated the association between chronic HCV (RNA+) and time to MI while adjusting for demographic characteristics, cardiovascular risk factors, clinical characteristics, and history of injecting drug use. Among 23,407 PLWH aged ≥18 years, there were 336 T1MIs and 330 T2MIs during a median of 4.7 years of follow-up between 1998 and 2016. HCV was associated with a 46% greater risk of T2MI (adjusted hazard ratio (aHR) = 1.46, 95% confidence interval (CI): 1.09, 1.97) but not T1MI (aHR = 0.87, 95% CI: 0.58, 1.29). In an exploratory cause-specific analysis of T2MI, HCV was associated with a 2-fold greater risk of T2MI attributed to sepsis (aHR = 2.01, 95% CI: 1.25, 3.24). Extrahepatic manifestations of HCV in this high-risk population are an important area for continued research.