Improving Delivery and Use of HIV Pre-Exposure Prophylaxis in the US: A Systematic Review of Implementation Strategies and Adjunctive Interventions

Implementation of pre-exposure prophylaxis (PrEP) to prevent HIV transmission is suboptimal in the United States. To date, the literature has focused on identifying determinants of PrEP use, with a lesser focus on developing and testing change methods to improve PrEP implementation. Moreover, the change methods available for improving the uptake and sustained use of PrEP have not been systematically categorized. To summarize the state of the literature, we conducted a systematic review of the implementation strategies used to improve PrEP implementation among delivery systems and providers, as well as the adjunctive interventions used to improve the uptake and persistent adherence to PrEP among patients. Between November 2020 and January 2021, we searched Ovid MEDLINE, PsycINFO, and Web of Science for peer reviewed articles. We identified 44 change methods (18 implementation strategies and 26 adjunctive interventions) across a variety of clinical and community-based service settings. We coded implementation strategies and adjunctive interventions in accordance with established taxonomies and reporting guidelines. Most studies focused on improving patient adherence to PrEP and most conducted pilot trials. Just over one-third of included studies demonstrated a positive effect on outcomes. In order to end the human immunodeficiency virus (HIV) epidemic in the U.S., future, large scale HIV prevention research is needed that develops and evaluates implementation strategies and adjunctive interventions for target populations disproportionately affected by HIV.

Establishing Evidence Criteria for Implementation Strategies: A Delphi Study for HIV Services

BACKGROUND

There are no criteria specifically for evaluating the quality of implementation research and recommend implementation strategies likely to have impact to practitioners. We describe the development and application of the Best Practices Rubric, a set of criteria to evaluate the evidence supporting implementation strategies, in the context of HIV.

METHODS

We developed the Best Practices Rubric from 2022-2023 in three phases. (1) We purposively selected and recruited by email participants representing a mix of expertise in HIV service delivery, quality improvement, and implementation science. We developed a draft rubric and criteria based on a literature review and key informant interviews. (2) The rubric was then informed and revised through two e-Delphi rounds using a survey delivered online through Qualtrics. The first and second round Delphi surveys consisted of 71 and 52 open and close-ended questions, respectively, asking participants to evaluate, confirm, and make suggestions on different aspects of the rubric. After each survey round, data were analyzed and synthesized as appropriate, and the rubric and criteria were revised. (3) We then applied the rubric to a set of research studies assessing 18 implementation strategies designed to promote the adoption and uptake of pre-exposure prophylaxis, an HIV prevention medication, to assess reliable application of the rubric and criteria.

RESULTS

Our initial literature review yielded existing rubrics and criteria for evaluating intervention-level evidence. For a strategy-level rubric, additions emerged from interviews, for example, a need to consider the context and specification of strategies. Revisions were made after both Delphi rounds resulting in the confirmation of five evaluation domains - research design, implementation outcomes, limitations and rigor, strategy specification, and equity - and four evidence levels - best practice, promising practice, more evidence needed, and harmful practices. For most domains, criteria were specified at each evidence level. After an initial pilot round to develop an application process and provide training, we achieved 98% reliability when applying the criteria to 18 implementation strategies.

CONCLUSIONS

We developed a rubric to evaluate the evidence supporting implementation strategies for HIV services. Although the rubric is specific to HIV, this tool is adaptable for evaluating strategies in other health areas.

AIDSVu Cities' Progress Toward HIV Care Continuum Goals: Cross-Sectional Study

BACKGROUND

Public health surveillance data are critical to understanding the current state of the HIV and AIDS epidemics. Surveillance data provide significant insight into patterns within and progress toward achieving targets for each of the steps in the HIV care continuum. Such targets include those outlined in the National HIV/AIDS Strategy (NHAS) goals. If these data are disseminated, they can be used to prioritize certain steps in the continuum, geographic locations, and groups of people.

OBJECTIVE

We sought to develop and report indicators of progress toward the NHAS goals for US cities and to characterize progress toward those goals with categorical metrics.

METHODS

Health departments used standardized SAS code to calculate care continuum indicators from their HIV surveillance data to ensure comparability across jurisdictions. We report 2018 descriptive statistics for continuum steps (timely diagnosis, linkage to medical care, receipt of medical care, and HIV viral load suppression) for 36 US cities and their progress toward 2020 NHAS goals as of 2018. Indicators are reported categorically as met or surpassed the goal, within 25% of attaining the goal, or further than 25% from achieving the goal.

RESULTS

Cities were closest to meeting NHAS goals for timely diagnosis compared to the goals for linkage to care, receipt of care, and viral load suppression, with all cities (n=36, 100%) within 25% of meeting the goal for timely diagnosis. Only 8% (n=3) of cities were >25% from achieving the goal for receipt of care, but 69% (n=25) of cities were >25% from achieving the goal for viral suppression.

CONCLUSIONS

Display of progress with graphical indicators enables communication of progress to stakeholders. AIDSVu analyses of HIV surveillance data facilitate cities' ability to benchmark their progress against that of other cities with similar characteristics. By identifying peer cities (eg, cities with analogous populations or similar NHAS goal concerns), the public display of indicators can promote dialogue between cities with comparable challenges and opportunities.

A Systematic Review of Implementation Research on Determinants and Strategies of Effective HIV Interventions for Men Who Have Sex with Men in the United States

Men who have sex with men (MSM) are disproportionately affected by HIV, accounting for two-thirds of HIV cases in the United States despite representing ∼5% of the adult population. Delivery and use of existing and highly effective HIV prevention and treatment strategies remain suboptimal among MSM. To summarize the state of the science, we systematically review implementation determinants and strategies of HIV-related health interventions using implementation science frameworks. Research on implementation barriers has focused predominantly on characteristics of individual recipients (e.g., ethnicity, age, drug use) and less so on deliverers (e.g., nurses, physicians), with little focus on system-level factors. Similarly, most strategies target recipients to influence their uptake and adherence, rather than improving and supporting implementation systems. HIV implementation research is burgeoning; future research is needed to broaden the examination of barriers at the provider and system levels, as well as expand knowledge on how to match strategies to barriers-particularly to address stigma. Collaboration and coordination among federal, state, and local public health agencies; community-based organizations; health care providers; and scientists are important for successful implementation of HIV-related health innovations.

Predictors of HIV Molecular Cluster Membership and Implications for Partner Services

Public health surveillance data used in HIV molecular cluster analyses lack contextual information that is available from partner services (PS) data. Integrating these data sources in retrospective analyses can enrich understanding of the risk profile of people in clusters. In this study, HIV molecular clusters were identified and matched to information on partners and other information gleaned at the time of diagnosis, including coinfection with syphilis. We aimed to produce a more complete understanding of molecular cluster membership in Houston, Texas, a city ranking ninth nationally in rate of new HIV diagnoses that may benefit from retrospective matched analyses between molecular and PS data to inform future intervention. Data from PS were matched to molecular HIV records of people newly diagnosed from 2012 to 2018. By conducting analyses in HIV-TRACE (TRAnsmission Cluster Engine) using viral genetic sequences, molecular clusters were detected. Multivariable logistic regression models were used to estimate the association between molecular cluster membership and completion of a PS interview, number of named partners, and syphilis coinfection. Using data from 4,035 people who had a viral genetic sequence and matched PS records, molecular cluster membership was not significantly associated with completion of a PS interview. Among those with sequences who completed a PS interview (n = 3,869), 45.3% (n = 1,753) clustered. Molecular cluster membership was significantly associated with naming 1 or 3+ partners compared with not naming any partners [adjusted odds ratio, aOR: 1.27 (95% confidence interval, CI: 1.08-1.50), p = .003 and aOR: 1.38 (95% CI: 1.06-1.81), p = .02]. Alone, coinfection with syphilis was not significantly associated with molecular cluster membership. Syphilis coinfection was associated with molecular cluster membership when coupled with incarceration [aOR: 1.91 (95% CI: 1.08-3.38), p = .03], a risk for treatment interruption. Enhanced intervention among those with similar profiles, such as people coinfected with other risks, may be warranted.

Keep It Up! 3.0: Study protocol for a type III hybrid implementation-effectiveness cluster-randomized trial

BACKGROUND

Despite evidence that eHealth approaches can be effective in reducing HIV risk, their implementation requirements for public health scale up are not well established, and effective strategies to bring these programs into practice are still unknown. Keep It Up! (KIU!) is an online program proven to reduce HIV risk among young men who have sex with men (YMSM) and ideal candidate to develop and evaluate novel strategies for implementing eHealth HIV prevention programs. KIU! 3.0 is a Type III Hybrid Effectiveness-Implementation cluster randomized trial designed to 1) compare two strategies for implementing KIU!: community-based organizations (CBO) versus centralized direct-to-consumer (DTC) recruitment; 2) examine the effect of strategies and determinants on variability in implementation success; and 3) develop materials for sustainment of KIU! after the trial concludes. In this article, we describe the approaches used to achieve these aims.

METHODS

Using county-level population estimates of YMSM, 66 counties were selected and randomized 2:1 to the CBO and DTC approaches. The RE-AIM model was used to drive outcome measurements, which were collected from CBO staff, YMSM, and technology providers. Mixed-methods research mapped onto the domains of the Consolidated Framework for Implementation Research will examine determinants and their relationship with implementation outcomes.

DISCUSSION

In comparing our implementation recruitment models, we are examining two strategies which have shown effectiveness in delivering health technology interventions in the past, yet little is known about their comparative advantages and disadvantages in implementation. The results of the trial will further the understanding of eHealth prevention intervention implementation.

Categorising implementation determinants and strategies within the US HIV implementation literature: a systematic review protocol

INTRODUCTION

Despite decreased rates of new infections, HIV/AIDS continues to impact certain US populations. In order to achieve the goals laid out in the Ending the HIV Epidemic (EHE) in the US initiative, implementation science is needed to expand the sustained use of effective prevention and treatment interventions, particularly among priority populations at risk for and living with HIV/AIDS. Over 200 HIV-related implementation studies have been funded by the US National Institutes of Health. Therefore, a comprehensive review of the literature identifying implementation determinants (barriers and facilitators) and categorising implementation strategies across the continuum of HIV prevention and care in the USA is appropriate and needed to enhance current knowledge and help achieve the goals laid out in the EHE national strategic plan.

METHODS AND ANALYSIS

This systematic review protocol follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Between November 2020 and January 2022, a broad database search strategy of Ovid MEDLINE, PsycINFO and Web of Science was conducted to capture implementation-related studies along the HIV prevention and care continuum. Articles were eligible for inclusion if they were: conducted in the USA, published after the year 2000, written in English, related to HIV/AIDS, focused on outcomes related to dissemination and implementation (ie, did not test/evaluate/explore implementation determinants or strategies) and were behavioural studies (ie, not basic science). We plan to conduct three systematic reviews to identify and categorise determinants and strategies associated with three HIV focus areas: pre-exposure prophylaxis, testing/diagnosing and linkage to care, and treatment. Determinants will be coded according to an adapted Consolidated Framework for Implementation Research 2.0. Implementation strategies and outcomes will be categorised in accordance with existing taxonomies and frameworks.

ETHICS AND DISSEMINATION

Ethics approval is not applicable. No original data will be collected. Results will be disseminated through peer-reviewed publications, conference presentations and via online tools.

PROSPERO REGISTRATION NUMBER

CRD42021233089.

Determinants of Implementation for HIV Pre-exposure Prophylaxis Based on an Updated Consolidated Framework for Implementation Research: A Systematic Review

BACKGROUND

Delivery and use of HIV pre-exposure prophylaxis (PrEP) are suboptimal in the United States. Previous reviews of barriers and facilitators have not used an implementation science lens, limiting comprehensiveness and the link to implementation strategies. To summarize the state of the science, we systematically reviewed determinants of PrEP implementation using the updated Consolidated Framework for Implementation Research (CFIR 2.0).

SETTING

PrEP-eligible communities and delivery settings in the United States.

METHODS

In January 2021, we searched Ovid MEDLINE, PsycINFO, and Web of Science for peer-reviewed articles related to HIV/AIDS, interventions, implementation, and determinants or strategies. We identified 286 primary research articles published after 1999 about US-based PrEP implementation. Team members extracted discrete "mentioned" and "measured" determinants, coding each by setting, population, valence, measurement, and CFIR 2.0 construct.

RESULTS

We identified 1776 mentioned and 1952 measured determinants from 254 to 239 articles, respectively. Two-thirds of measured determinants were of PrEP use by patients as opposed to delivery by providers. Articles contained few determinants in the inner setting or process domains (ie, related to the delivery context), even among studies of specific settings. Determinants across priority populations also focused on individual patients and providers rather than structural or logistical factors.

CONCLUSION

Our findings suggest substantial knowledge in the literature about general patient-level barriers to PrEP use and thus limited need for additional universal studies. Instead, future research should prioritize identifying determinants, especially facilitators, unique to understudied populations and focus on structural and logistical features within current and promising settings (eg, pharmacies) that support integration of PrEP into clinical practice.

Data Velocity in HIV-Related Implementation Research: Estimating Time From Funding to Publication

BACKGROUND

Given available effective biomedical and behavioral prevention and treatment interventions, HIV-related implementation research (IR) is expanding. The rapid generation and dissemination of IR to inform guidelines and practice has the potential to optimize the impact of the Ending the Epidemic Initiative and the HIV pandemic response more broadly.

METHODS

We leveraged a prior mapping review of NIH-funded awards in HIV and IR from January 2013 to March 2018 and identified all publications linked to those grants in NIH RePORTER through January 1, 2021 (n = 1509). Deduplication and screening of nonoriginal research reduced the count to 1032 articles, of which 952 were eligible and included in this review. Publication volume and timing were summarized; Kaplan-Meier plots estimated time to publication.

RESULTS

Among the 215 NIH-funded IR-related awards, 127 of 215 (59%) published original research directly related to the grant, averaging 2.0 articles (SD: 3.3) per award, largely in the early IR phases. Many articles (521 of 952, 55%) attributed to grants did not report grant-related data. Time from article submission to publication averaged 205 days (SD: 107). The median time-to-first publication from funding start was 4 years. Data dissemination velocity varied by award type, trending toward faster publication in recent years. Delays in data velocity included (1) time from funding to enrollment, (2) enrollment length, and (3) time from data collection completion to publication.

CONCLUSION

Research publication was high overall, and time-to-publication is accelerating; however, over 40% of grants have yet to publish findings from grant-related data. Addressing bottlenecks in the production and dissemination of HIV-related IR would reinforce its programmatic and policy relevance in the HIV response.

Supporting the Growth of Domestic HIV Implementation Research in the United States Through Coordination, Consultation, and Collaboration: How We Got Here and Where We Are Headed

BACKGROUND

The Ending the HIV Epidemic (EHE) initiative sets a goal to virtually eliminate new HIV infections in the United States by 2030. The plan is predicated on the fact that tools exist for diagnosis, prevention, and treatment, and the current scientific challenge is how to implement them effectively and with equity. Implementation research (IR) can help identify strategies that support effective implementation of HIV services.

SETTING

NIH funded the Implementation Science Coordination Initiative (ISCI) to support rigorous and actionable IR by providing technical assistance to NIH-funded projects and supporting local implementation knowledge becoming generalizable knowledge.

METHODS

We describe the formation of ISCI, the services it provided to the HIV field, and data it collected from 147 NIH-funded studies. We also provide an overview of this supplement issue as a dissemination strategy for HIV IR.

CONCLUSION

Our ability to reach EHE 2030 goals is strengthened by the knowledge compiled in this supplement, the services of ISCI and connected hubs, and a myriad of investigators and implementation partners collaborating to better understand what is needed to effectively implement the many evidence-based HIV interventions at our disposal.

Profile of the Portfolio of NIH-Funded HIV Implementation Research Projects to Inform Ending the HIV Epidemic Strategies

BACKGROUND

The US government created an initiative to end the HIV epidemic in the United States by the year 2030 (EHE). This multiagency initiative was structured around four pillars: Prevent, Diagnose, Treat, and Respond to improve HIV programs, resources, and service delivery infrastructure. In support of its research mission, the National Institutes of Health (NIH) has funded implementation research (IR) projects by addressing the four pillars and encouraging investigators to collaborate with local partners and Health and Human Services (HHS) grantees in 57 priority jurisdictions.

METHODS

This paper analyzed data from the NIH funded CFAR/ARC supplement projects from 2019 to 2021. The Exploration, Preparation, Implementation, Sustainment (EPIS) framework was used to characterize projects by stage of implementation.

RESULTS

The Prevent pillar was most frequently studied, with Pre-Exposure Prophylaxis (PrEP) being the most studied intervention. The most common partners were health departments, community-based organizations (CBOs), and Federally Qualified Health Centers (FQHCs). The Consolidated Framework for Implementation Research (CFIR) framework was the most utilized to investigate implementation determinants, followed by the RE-AIM framework and Proctor model to assess implementation outcomes.

CONCLUSION

Monitoring the projects resulting from NIH investments is fundamental to understanding the response to EHE, and achieving these results requires systematic and continuous effort that can support the generalizable implementation knowledge emerging from individual studies. There are some remaining gaps in the project portfolio, including geographical coverage, range of implementation outcomes being measured, and interventions still requiring further research to ensure equitable scale-up of evidence based interventions and achieve EHE goals.

Do partner services linked to molecular clusters yield people with viremia or new HIV?

OBJECTIVES

We examined whether molecular cluster membership was associated with public health identification of HIV transmission potential among named partners in Chicago.

DESIGN

Historical cohort study.

METHODS

We matched and analyzed HIV surveillance and partner services data from HIV diagnoses (2012-2016) prior to implementation of cluster detection and response interventions. We constructed molecular clusters using HIV-TRACE at a pairwise genetic distance threshold of 0.5% and identified clusters exhibiting recent and rapid growth according to the Centers for Disease Control and Prevention definition (three new cases diagnosed in past year). Factors associated with identification of partners with HIV transmission potential were examined using multivariable Poisson regression.

RESULTS

There were 5208 newly diagnosed index clients over this time period. Average age of index clients in clusters was 28; 47% were Black, 29% Latinx/Hispanic, 6% female and 89% MSM. Of the 537 named partners, 191 (35.6%) were linked to index cases in a cluster and of those 16% were either new diagnoses or viremic. There was no statistically significant difference in the probability of identifying partners with HIV transmission potential among index clients in a rapidly growing cluster versus those not in a cluster [adjusted relative risk 1.82, (0.81-4.06)].

CONCLUSION

Partner services that were initiated from index clients in a molecular cluster yielded similar new HIV case finding or identification of those with viremia as did interviews with index clients not in clusters. It remains unclear whether these findings are due to temporal disconnects between diagnoses and cluster identification, unobserved cluster members, or challenges with partner services implementation.

Geographic disparities in COVID-19 case rates are not reflected in seropositivity rates using a neighborhood survey in Chicago

To date, COVID-19 case rates are disproportionately higher in Black and Latinx communities across the US, leading to more hospitalizations, and deaths in those communities. These differences in case rates are evident in comparisons of Chicago neighborhoods with differing race and/or ethnicities of their residents. Disparities could be due to neighborhoods with more adverse health outcomes associated with poverty and other social determinants of health experiencing higher prevalence of SARS-CoV-2 infection or due to greater morbidity and mortality resulting from equivalent SARS-CoV-2 infection prevalence. We surveyed five pairs of adjacent ZIP codes in Chicago with disparate COVID-19 case rates for highly specific and quantitative serologic evidence of any prior infection by SARS-CoV-2 to compare with their disparate COVID-19 case rates. Dried blood spot samples were self-collected at home by internet-recruited participants in summer 2020, shortly after Chicago's first wave of the COVID-19 pandemic. Pairs of neighboring ZIP codes with very different COVID-19 case rates had similar seropositivity rates for anti-SARS-CoV-2 receptor binding domain IgG antibodies. Overall, these findings of comparable exposure to SARS-CoV-2 across neighborhoods with very disparate COVID-19 case rates are consistent with social determinants of health, and the co-morbidities related to them, driving differences in COVID-19 rates across neighborhoods.

Forecasting HIV-1 Genetic Cluster Growth in Illinois,United States

BACKGROUND

HIV intervention activities directed toward both those most likely to transmit and their HIV-negative partners have the potential to substantially disrupt HIV transmission. Using HIV sequence data to construct molecular transmission clusters can reveal individuals whose viruses are connected. The utility of various cluster prioritization schemes measuring cluster growth have been demonstrated using surveillance data in New York City and across the United States, by the Centers for Disease Control and Prevention (CDC).

METHODS

We examined clustering and cluster growth prioritization schemes using Illinois HIV sequence data that include cases from Chicago, a large urban center with high HIV prevalence, to compare their ability to predict future cluster growth.

RESULTS

We found that past cluster growth was a far better predictor of future cluster growth than cluster membership alone but found no substantive difference between the schemes used by CDC and the relative cluster growth scheme previously used in New York City (NYC). Focusing on individuals selected simultaneously by both the CDC and the NYC schemes did not provide additional improvements.

CONCLUSION

Growth-based prioritization schemes can easily be automated in HIV surveillance tools and can be used by health departments to identify and respond to clusters where HIV transmission may be actively occurring.

Sorting by Race/Ethnicity Across HIV Genetic Transmission Networks in Three Major Metropolitan Areas in the United States

An important component underlying the disparity in HIV risk between race/ethnic groups is the preferential transmission between individuals in the same group. We sought to quantify transmission between different race/ethnicity groups and measure racial assortativity in HIV transmission networks in major metropolitan areas in the United States. We reconstructed HIV molecular transmission networks from viral sequences collected as part of HIV surveillance in New York City, Los Angeles County, and Cook County, Illinois. We calculated assortativity (the tendency for individuals to link to others with similar characteristics) across the network for three candidate characteristics: transmission risk, age at diagnosis, and race/ethnicity. We then compared assortativity between race/ethnicity groups. Finally, for each race/ethnicity pair, we performed network permutations to test whether the number of links observed differed from that expected if individuals were sorting at random. Transmission networks in all three jurisdictions were more assortative by race/ethnicity than by transmission risk or age at diagnosis. Despite the different race/ethnicity proportions in each metropolitan area and lower proportions of clustering among African Americans than other race/ethnicities, African Americans were the group most likely to have transmission partners of the same race/ethnicity. This high level of assortativity should be considered in the design of HIV intervention and prevention strategies.

Cohabitation With a Known Coronavirus Disease 2019 Case Is Associated With Greater Antibody Concentration and Symptom Severity in a Community-Based Sample of Seropositive Adults

In a community-based sample of seropositive adults (n = 1101), we found that seropositive individuals who lived with a known coronavirus disease 2019 (COVID-19) case exhibited higher blood anti-severe acute respiratory syndrome coronavirus 2 spike receptor-binding domain immunoglobulin G concentrations and greater symptom severity compared to seropositive individuals who did not live with a known COVID-19 case.

Exposure to SARS-CoV-2 within the household is associated with greater symptom severity and stronger antibody responses in a community-based sample of seropositive adults

Magnitude of SARS-CoV-2 virus exposure may contribute to symptom severity. In a sample of seropositive adults (n=1101), we found that individuals who lived with a known COVID-19 case exhibited greater symptom severity and IgG concentrations compared to individuals who were seropositive but did not live with a known case (P<0.0001).

Addressing Ethical Challenges in US-Based HIV Phylogenetic Research

In recent years, phylogenetic analysis of HIV sequence data has been used in research studies to investigate transmission patterns between individuals and groups, including analysis of data from HIV prevention clinical trials, in molecular epidemiology, and in public health surveillance programs. Phylogenetic analysis can provide valuable information to inform HIV prevention efforts, but it also has risks, including stigma and marginalization of groups, or potential identification of HIV transmission between individuals. In response to these concerns, an interdisciplinary working group was assembled to address ethical challenges in US-based HIV phylogenetic research. The working group developed recommendations regarding (1) study design; (2) data security, access, and sharing; (3) legal issues; (4) community engagement; and (5) communication and dissemination. The working group also identified areas for future research and scholarship to promote ethical conduct of HIV phylogenetic research.

A Data Visualization and Dissemination Resource to Support HIV Prevention and Care at the Local Level: Analysis and Uses of the AIDSVu Public Data Resource

BACKGROUND

AIDSVu is a public resource for visualizing HIV surveillance data and other population-based information relevant to HIV prevention, care, policy, and impact assessment.

OBJECTIVE

The site, AIDSVu.org, aims to make data about the US HIV epidemic widely available, easily accessible, and locally relevant to inform public health decision making.

METHODS

AIDSVu develops visualizations, maps, and downloadable datasets using results from HIV surveillance systems, other population-based sources of information (eg, US Census and national probability surveys), and other data developed specifically for display and dissemination through the website (eg, pre-exposure prophylaxis [PrEP] prescriptions). Other types of content are developed to translate surveillance data into summarized content for diverse audiences using infographic panels, interactive maps, local and state fact sheets, and narrative blog posts.

RESULTS

Over 10 years, AIDSVu.org has used an expanded number of data sources and has progressively provided HIV surveillance and related data at finer geographic levels, with current data resources providing HIV prevalence data down to the census tract level in many of the largest US cities. Data are available at the county level in 48 US states and at the ZIP Code level in more than 50 US cities. In 2019, over 500,000 unique users consumed AIDSVu data and resources, and HIV-related data and insights were disseminated through nearly 4,000,000 social media posts. Since AIDSVu's inception, at least 249 peer-reviewed publications have used AIDSVu data for analyses or referenced AIDSVu resources. Data uses have included targeting of HIV testing programs, identifying areas with inequitable PrEP uptake, including maps and data in academic and community grant applications, and strategically selecting locations for new HIV treatment and care facilities to serve high-need areas.

CONCLUSIONS

Surveillance data should be actively used to guide and evaluate public health programs; AIDSVu translates high-quality, population-based data about the US HIV epidemic and makes that information available in formats that are not consistently available in surveillance reports. Bringing public health surveillance data to an online resource is a democratization of data, and presenting information about the HIV epidemic in more visual formats allows diverse stakeholders to engage with, understand, and use these important public health data to inform public health decision making.

Considerations for Modernized Criminal HIV Laws and Assessment of Legal Protections Against Release of Identified HIV Surveillance Data for Law Enforcement

In November 2018, the Centers for Disease Control and Prevention distributed guidance to funded agencies under its Integrated HIV Surveillance and Prevention Programs Initiative to support the implementation of the program's third strategy: HIV transmission cluster investigation and outbreak response efforts. Cluster detection seeks to identify persons infected with HIV (diagnosed and undiagnosed) who are linked to infections in single or related sexual and injection drug networks. Identifying expanding clusters allows public health personnel to intervene directly where active HIV transmissions occur.However, in the context of HIV infection where most US states have enacted criminal exposure laws, these efforts have sparked concerns about the protection of HIV surveillance data from court order or subpoena for law enforcement purposes. The Centers for Disease Control and Prevention calls for funded agencies to evaluate relevant confidentiality laws to ensure that these are sufficient to protect the confidentiality of HIV surveillance data from use by law enforcement.We present four often overlooked factors about the criminalization of HIV exposure and HIV surveillance data protections that should be considered in statutory assessments.

Implementation Research Methodologies for Achieving Scientific Equity and Health Equity

Implementation science has great potential to improve the health of communities and individuals who are not achieving health equity. However, implementation science can exacerbate health disparities if its use is biased toward entities that already have the highest capacities for delivering evidence-based interventions. In this article, we examine several methodologic approaches for conducting implementation research to advance equity both in our understanding of what historically disadvantaged populations would need-what we call scientific equity-and how this knowledge can be applied to produce health equity. We focus on rapid ways to gain knowledge on how to engage, design research, act, share, and sustain successes in partnership with communities. We begin by describing a principle-driven partnership process between community members and implementation researchers to overcome disparities. We then review three innovative implementation method paradigms to improve scientific and health equity and provide examples of each. The first paradigm involves making efficient use of existing data by applying epidemiologic and simulation modeling to understand what drives disparities and how they can be overcome. The second paradigm involves designing new research studies that include, but do not focus exclusively on, populations experiencing disparities in health domains such as cardiovascular disease and co-occurring mental health conditions. The third paradigm involves implementation research that focuses exclusively on populations who have experienced high levels of disparities. To date, our scientific enterprise has invested disproportionately in research that fails to eliminate health disparities. The implementation research methods discussed here hold promise for overcoming barriers and achieving health equity.

Trends in HIV Risk, Testing, and Treatment among MSM in Chicago 2004-2014: Implications for HIV Elimination Planning

Men who have sex with men (MSM) in the USA continue to have high rates of HIV infection. Increasingly, in addition to behavioral factors, biomedical interventions have been found to play important roles in HIV prevention. In this analysis, we used four waves of cross-sectional data (2004, 2008, 2011, and 2014) from the National HIV Behavioral Surveillance System (NHBS) to examine trends in key behaviors and biomedical interventions among MSM in Chicago (N = 3298). Logistic regression was used to determine changes in behaviors and use of biomedical interventions. Condomless sex increased significantly in waves 3 and 4, compared to wave 1: wave 3 (AOR = 2.07; 95% CI 1.53, 2.78) and wave 4 (AOR = 2.19; 95% CI 1.62, 2.96). Compared to those aged 18-24, older participants were significantly less likely to be routinely tested for HIV: 30-39 (AOR = 0.63; 95% CI 0.48, 0.83), 40-49 (AOR = 0.40; 95% CI 0.29, 0.55), and >50 (AOR = 0.28; 95% CI 0.18, 0.43). Awareness of both post-exposure prophylaxis (PEP)(​AOR = 3.13; 95% CI 1.22, 8.03) and pre-exposure prophylaxis (PrEP)(​AOR = 10.02; 95% CI 2.95, 34.01) increased significantly in wave 4, compared to wave 3. These results suggest a potential increase in HIV rates among men with main and casual partners and should be monitored closely as PrEP becomes more widespread among MSM of all races and ethnicities in Chicago. This study also suggests that further analyses of the barriers to PEP and PreP uptake among high-risk populations are necessary.

"Scaling-out" evidence-based interventions to new populations or new health care delivery systems

Background

Implementing treatments and interventions with demonstrated effectiveness is critical for improving patient health outcomes at a reduced cost. When an evidence-based intervention (EBI) is implemented with fidelity in a setting that is very similar to the setting wherein it was previously found to be effective, it is reasonable to anticipate similar benefits of that EBI. However, one goal of implementation science is to expand the use of EBIs as broadly as is feasible and appropriate in order to foster the greatest public health impact. When implementing an EBI in a novel setting, or targeting novel populations, one must consider whether there is sufficient justification that the EBI would have similar benefits to those found in earlier trials.

Discussion

In this paper, we introduce a new concept for implementation called “scaling-out” when EBIs are adapted either to new populations or new delivery systems, or both. Using existing external validity theories and multilevel mediation modeling, we provide a logical framework for determining what new empirical evidence is required for an intervention to retain its evidence-based standard in this new context. The motivating questions are whether scale-out can reasonably be expected to produce population-level effectiveness as found in previous studies, and what additional empirical evaluations would be necessary to test for this short of an entirely new effectiveness trial. We present evaluation options for assessing whether scaling-out results in the ultimate health outcome of interest.

Conclusion

In scaling to health or service delivery systems or population/community contexts that are different from the setting where the EBI was originally tested, there are situations where a shorter timeframe of translation is possible. We argue that implementation of an EBI in a moderately different setting or with a different population can sometimes “borrow strength” from evidence of impact in a prior effectiveness trial. The collection of additional empirical data is deemed necessary by the nature and degree of adaptations to the EBI and the context. Our argument in this paper is conceptual, and we propose formal empirical tests of mediational equivalence in a follow-up paper.

HIV-1 Infection and Transmission Networks of Younger People in Chicago, Illinois, 2005-2011

OBJECTIVE

Analysis of HIV nucleotide sequences can be used to identify people with highly similar HIV strains and understand transmission patterns. The objective of this study was to identify groups of people highly connected by HIV transmission and the extent to which transmission occurred within and between geographic areas in Chicago, Illinois.

METHODS

We analyzed genetic sequences in the HIV-1 pol region in samples collected from people participating in the VARHS program in Chicago during 2005-2011. We determined pairwise genetic distance, inferred potential transmission events between HIV-infected people whose sequences were ≤1.5% genetically distant, and identified clusters of connected people. We used multivariable analysis to determine demographic characteristics and risk attributes associated with degree of connectivity.

RESULTS

Of 1154 sequences, 177 (15.3%) were tied to at least 1 other sequence. We determined that younger people, men, non-Hispanic black people, and men who have sex with men were more highly connected than other HIV-infected people. We also identified a high degree of geographic heterogeneity-48 of 67 clusters (71.6%) contained people from >1 Chicago region (north, south, or west sides).

CONCLUSION

Our results indicate a need to address HIV transmission through the networks of younger non-Hispanic black men who have sex with men. The high level of geographic heterogeneity observed suggests that HIV prevention programs should be targeted toward networks of younger people rather than geographic areas of high incidence. This study could also guide prevention efforts in other diverse metropolitan regions with characteristics similar to those of Chicago.

Automatic classification of communication logs into implementation stages via text analysis

BACKGROUND

To improve the quality, quantity, and speed of implementation, careful monitoring of the implementation process is required. However, some health organizations have such limited capacity to collect, organize, and synthesize information relevant to its decision to implement an evidence-based program, the preparation steps necessary for successful program adoption, the fidelity of program delivery, and the sustainment of this program over time. When a large health system implements an evidence-based program across multiple sites, a trained intermediary or broker may provide such monitoring and feedback, but this task is labor intensive and not easily scaled up for large numbers of sites. We present a novel approach to producing an automated system of monitoring implementation stage entrances and exits based on a computational analysis of communication log notes generated by implementation brokers. Potentially discriminating keywords are identified using the definitions of the stages and experts' coding of a portion of the log notes. A machine learning algorithm produces a decision rule to classify remaining, unclassified log notes.

RESULTS

We applied this procedure to log notes in the implementation trial of multidimensional treatment foster care in the California 40-county implementation trial (CAL-40) project, using the stages of implementation completion (SIC) measure. We found that a semi-supervised non-negative matrix factorization method accurately identified most stage transitions. Another computational model was built for determining the start and the end of each stage.

CONCLUSIONS

This automated system demonstrated feasibility in this proof of concept challenge. We provide suggestions on how such a system can be used to improve the speed, quality, quantity, and sustainment of implementation. The innovative methods presented here are not intended to replace the expertise and judgement of an expert rater already in place. Rather, these can be used when human monitoring and feedback is too expensive to use or maintain. These methods rely on digitized text that already exists or can be collected with minimal to no intrusiveness and can signal when additional attention or remediation is required during implementation. Thus, resources can be allocated according to need rather than universally applied, or worse, not applied at all due to their cost.

A cross-jurisdictional evaluation of insurance coverage among HIV care patients following the Affordable Care Act

The impact of the Affordable Care Act (ACA) on HIV care patients, aged 18-64, was evaluated in three jurisdictions with Medicaid expansion (Chicago, New York State, and Washington) and three jurisdictions without Medicaid expansion (Georgia, Texas, and Virginia) using data from the Medical Monitoring Project. Multivariate regression models were used to evaluate insurance status that was reported pre- and post-ACA; self-reported impact of ACA on HIV care was explored with descriptive statistics. The likelihood of having insurance was significantly greater post-ACA compared to pre-ACA in Chicago (aRR = 1.33, 95%CI = 1.20, 1.47), Washington (aRR = 1.15, 95%CI = 1.08, 1.22), and Virginia (aRR = 1.14, 95%CI = 1.00, 1.29). In Washington and Chicago, the likelihood of being Medicaid-insured was greater post-ACA compared to pre-ACA implementation (Chicago: aRR = 1.25, 95%CI = 1.03,1.53; Washington: aRR = 1.66 95% CI = 1.30, 2.13). No other significant differences were observed. Only a subset of HIV care patients (range: 15-35%) reported a change in insurance that would have coincided with the implementation of ACA; and within this subset, a change in medical care costs was the most commonly noted issue. In conclusion, the influence of ACA on insurance coverage and other factors affecting HIV care likely varies by jurisdiction.

Expanded HIV Testing and Linkage to Care: Conventional vs. Point-of-Care Testing and Assignment of Patient Notification and Linkage to Care to an HIV Care Program

OBJECTIVE

The University of Chicago Medicine (UCM) led the Expanded Testing and Linkage to Care (X-TLC) program for disproportionately affected populations on the South Side of Chicago. The X-TLC program aimed to expand routine HIV testing to high-prevalence communities with disproportionately affected populations (i.e., minority men and women, men who have sex with men, and intravenous drug users) according to CDC guidelines at multiple clinical sites.

METHODS

The X-TLC program used standard blood-based laboratory testing vs. point-of-care rapid testing or rapid laboratory testing with point-of-care results notification. Site coordinators and the linkage-to-care coordinator at UCM oversaw testing, test notification, and linkage to care.

RESULTS

From February 1, 2011, through December 31, 2013, the X-TLC program completed 75,345 HIV tests on 67,153 unique patients. Of the total tests, 48,044 (63.8%) were performed on patients who self-identified as African American and 6,606 (8.8%) were performed on patients who self-identified as Hispanic. Of the 67,153 patients tested, 395 (0.6%) tested positive and 176 (0.3%) were previously unaware of their HIV-positive status. Seroprevalence was even higher for EDs, where 127 of 12,957 patients tested positive for HIV (1.0% seroprevalence), than for other patient care sites, including for new diagnoses, where 50 of 12,957 patients tested positive for HIV (0.4% seroprevalence). Of the 176 newly diagnosed patients, 166 of 173 (96.0%) patients who were still alive when testing was complete received their test results, and 148 of the 166 patients who were eligible for care (89.0%) were linked to care. Patients linked to X-TLC physicians did well with respect to the continuum of care: 77 of 123 (62.6%) patients achieved HIV viral load of <200 copies/milliliter.

CONCLUSION

Lead organizations such as UCM were able to assist and oversee HIV screening and linkage to care for HIV patients diagnosed at community sites. HIV screening and linkage to care can be accomplished by incorporating standard testing for HIV into routine medical care.

Estimating the number of young Black men who have sex with men (YBMSM) on the south side of Chicago: towards HIV elimination within US urban communities

The rate of HIV infection among young Black men who have sex with men (YBMSM) aged 16-29 is increasing significantly in the United States. Prevention in this population would considerably impact future health-care resources given the need for lifelong antiretrovirals. A YBMSM population estimate is needed to assist HIV prevention program planning. This analysis estimates the number of YBMSM aged 16-29 living on the south side of Chicago (SSC), the Chicago HIV epicenter, as the first step in eliminating HIV in this population. Three methods were utilized to estimate the number of YBMSM in the SSC. First, an indirect approach following the formula a = k/b; where a = the estimated number of YBMSM, k = the average YBMSM HIV prevalence estimate, and b = the YBMSM population-based HIV seropositivity rate. Second, data from the most recent National Survey of Family Growth (NSFG) was used to estimate the proportion of Black men who report having sex with a man. Third, a modified Delphi approach was used, which averaged community expert estimates. The indirect approach yielded an average estimate of 11.7 % YBMSM, the NSFG yielded a 4.2 % (95 % CI 2.28-6.21) estimate, and the modified Delphi approach yielded estimates of 3.0 % (2.3-3.6), 16.8 % (14.5-19.1), and 25 % (22.0-27.0); an average of 14.9 %. The crude average of the three methods was 10.2 %. Applied to SSC, this results to 5,578 YBMSM. The estimate of 5,578 YBMSM represents a group that can be feasibly reached with HIV prevention efforts. Population estimates of those most at risk for HIV will help public health officials allocate resources, offering potential for elimination of new HIV cases.

Anal intercourse and HIV risk among low-income heterosexual women: findings from Chicago HIV behavioral surveillance

Background:

Anal intercourse (AI) is a highly efficient route for HIV transmission and has not been well elucidated among heterosexual (HET) women. Heterosexual women living in impoverished urban areas in the US are at increased risk for HIV acquisition. We aim to describe rates of AI and characteristics associated with AI among heterosexual women at increased risk for HIV acquisition living in Chicago.

Methods:

The Chicago Department of Public Health conducted a survey of HET during 2007 as part of the National HIV Behavioral Surveillance System. Venue-based, time-location sampling was used to select participants from venues in high-risk areas (census tracts with concurrently high rates of heterosexual AIDS and household poverty). Eligible participants were interviewed anonymously and offered a HIV test.

Results:

In total, 407 heterosexual women were interviewed. Seventy-one (17%) women reported having AI in the past 12 months, with 61 of the 71 (86%) reporting unprotected AI. In multivariate analysis, women who engaged in AI were more than three times as likely to have three or more sex partners in the past 12 months (OR=3.27, 95% CI 1.53-6.99). AI was also independently associated with STI diagnosis in the past 12 months (2.13, 95% CI 1.06-4.26), and having sexual intercourse for the first time before the age of 15 years (2.23, 95% CI 1.28-3.89).

Conclusion:

AI was associated with multiple high risk behaviors including a greater number of sexual partners, STI diagnosis, and earlier age at first sex. The combination of risk factors found to be associated with AI call for new HIV prevention services tailored to the needs of women and young girls living in poverty.

Willingness of US men who have sex with men (MSM) to participate in Couples HIV Voluntary Counseling and Testing (CVCT)

Background

We evaluated willingness to participate in CVCT and associated factors among MSM in the United States.

Methods

5,980 MSM in the US, recruited through MySpace.com, completed an online survey March-April, 2009. A multivariable logistic regression model was built using being “willing” or “unwilling” to participate in CVCT in the next 12 months as the outcome.

Results

Overall, 81.5% of respondents expressed willingness to participate in CVCT in the next year. Factors positively associated with willingness were: being of non-Hispanic Black (adjusted odds ratio [aOR]: 1.5, 95% confidence interval [CI]: 1.2–1.8), Hispanic (aOR: 1.3, CI: 1.1–1.6), or other (aOR: 1.4, CI: 1.1–1.8) race/ethnicity compared to non-Hispanic White; being aged 18–24 (aOR: 2.5, CI: 1.7–3.8), 25–29 (aOR: 2.3, CI: 1.5–3.6), 30–34 (aOR: 1.9, CI: 1.2–3.1), and 35–45 (aOR: 2.3, CI: 1.4–3.7) years, all compared to those over 45 years of age; and having had a main male sex partner in the last 12 months (aOR: 1.9, CI: 1.6–2.2). Factors negatively associated with willingness were: not knowing most recent male sex partner’s HIV status (aOR: 0.81, CI: 0.69–0.95) compared to knowing that the partner was HIV-negative; having had 4–7 (aOR: 0.75, CI: 0.61–0.92) or >7 male sex partners in the last 12 months (aOR: 0.62, CI: 0.50–0.78) compared to 1 partner; and never testing for HIV (aOR: 0.38, CI: 0.31–0.46), having been tested over 12 months ago (aOR: 0.63, CI: 0.50–0.79), or not knowing when last HIV tested (aOR: 0.67, CI: 0.51–0.89), all compared to having tested 0–6 months previously.

Conclusions

Young MSM, men of color, and those with main sex partners expressed a high level of willingness to participate in couples HIV counseling and testing with a male partner in the next year. Given this willingness, it is likely feasible to scale up and evaluate CVCT interventions for US MSM.

Demographic characteristics and survival with AIDS: health disparities in Chicago, 1993-2001

OBJECTIVES

We examined correlations between survival and race/ethnicity, age, and gender among persons who died from AIDS-related causes.

METHODS

We estimated survival among 11 022 persons at 12, 36, and 60 months after diagnosis with AIDS in 1993 through 2001 and reported through 2003 to the Chicago Department of Public Health. We estimated hazard ratios (HRs) by demographic and risk characteristics.

RESULTS

All demographic groups had higher 5-year survival rates after the introduction of highly active retroviral therapy (1996-2001) than before (1993-1995). The HR for non-Hispanic Blacks to Whites was 1.18 in 1993 to 1995 and 1.51 (P < .01) in 1996 to 2001. The HR for persons 50 years or older to those younger than 30 years was 1.63 in 1993-1995 and 2.28 (P < .01) in 1996-2001. The female-to-male HR was 0.90 in 1993-1995 and 1.20 (P < .02) in 1996-2001.

CONCLUSIONS

The risk of death was higher for non-Hispanic Blacks and Hispanics than for non-Hispanic Whites. Interventions are needed to increase early access to care for disadvantaged groups.

The big cities health inventory, 1997

This manuscript reports on the publication of a unique document, The Big Cities Health Inventory, 1997: The Health of Urban U.S.A., which was released in July 1997 by the Chicago Department of Public Health (CDPH). The report presents data on 20 important health indicators such as AIDS, cancers, tuberculosis, sexually transmitted diseases, homicide, heart disease, infant mortality and low birthweight. Indicators of morbidity are gathered from participating local health departments and indicators of mortality and maternal and child health are obtained from vital records files provided by the National Center for Health Statistics (NCHS). The data are displayed and analyzed in two sections. The first consists of a series of tables presenting overall rates, gender and race/ethnicity-specific rates and city rankings according to these measures. These rankings provide meaningful comparisons between and within cities for specific demographic characteristics. The second component presents sample analyses which illustrate the possible uses of this information. The report represents an important tool for health professionals, researchers, policy makers and community advocates dedicated to promoting healthier cities. Such array of city-level data, to our knowledge not available from any other source, could indeed begin to lead to public health interventions that will impact the well-being of residents of large urban areas.

Mortality in Chicago attributed to the July 1995 heat wave

OBJECTIVES

This study assessed mortality associated with the mid-July 1995 heat wave in Chicago.

METHODS

Analyses focused on heat-related deaths, as designated by the medical examiner, and on the number of excess deaths.

RESULTS

In July 1995, there were 514 heat-related deaths and 696 excess deaths. People 65 years of age or older were overrepresented and Hispanic people underrepresented. During the most intense heat (July 14 through 20), there were 485 heat-related deaths and 739 excess deaths.

CONCLUSIONS

The methods used here provide insight into the great impact of the Chicago heat wave on selected populations, but the lack of methodological standards makes comparisons across geographical areas problematic.

The epidemiology of homicide in Chicago

Public health agencies across the country are beginning to view violence as a problem that demands a public health response. However, before such a response can be mounted effectively, there must be a sound data-based understanding of this epidemic. With this in mind, the Chicago Department of Public Health implemented an epidemiological analysis of homicide in the city. Using vital records, police data, and census data, we found that the city's homicide rate in 1993 was 31 per 100,000 population. This rate placed Chicago 14th among other large cities in the United States and 4th out of the eight cities with a population > 1 million. The homicide rate in the city has been increasing over the past 30 years, but not steadily. For some intervals, the homicide rate has remained almost constant. African Americans, Hispanics, the young, and males are overrepresented in the epidemic. While guns accounted for almost 75% of all homicides in Chicago in 1993, gangs accounted for only 15%. Homicide cannot be viewed in isolation from the context of society. The literature suggests that poverty and racism are important risk factors for this epidemic. Although we cannot wait until these risk factors are remedied to develop violence prevention interventions, we also cannot proceed effectively without understanding this context.