The Cost and Cost-utility of Three Public Health HIV Case-finding Strategies: Evidence from Rhode Island, 2012-2014.

To evaluate three testing strategies to identify new HIV diagnoses in Rhode Island (RI). RI deployed three testing strategies, by using rapid HIV tests at clinical settings, community-based organization (CBO) settings, and the Partner Notification Services (PNS) program from 2012 to 2014. We reviewed the rapid HIV test results and confirmatory test results to identify new diagnoses, and conducted a cost-utility analysis. The average cost per new diagnosis was $33,015 at CBO settings, $5446 at clinical settings, and $33,818 at the PNS program. The cost-utility analysis showed the state-wide program was cost-saving; testing was cost-saving at clinical settings, and cost-effective at CBO settings and the PNS program. Further analyses showed that cost-effectiveness varied widely across CBOs. The HIV testing expansion program in RI was cost-saving overall. The heterogeneity of cost-effectiveness across settings should provide guidance to officials for allocation of future resources to HIV testing.

Public health opportunities and challenges in the provision of partner notification services: the New England experience.

BACKGROUND: Partner notification services (PNS) are recommended by the Centers for Disease Control and Prevention as a public health intervention for addressing the spread of HIV and other sexually transmitted diseases (STDs). Barriers and facilitators to the partner notification process from a public health perspective have not been well described. METHODS: In 2015, a coalition of New England public health STD directors and investigators formed to address the increasing STD prevalence across the region (Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont) and to promote communication between state STD programs. To evaluate barriers and facilitators of PNS programs, a survey was administered to representatives from each state to describe PNS processes and approaches. RESULTS: Of the six PNS programs, Connecticut, Maine, Massachusetts, Vermont, and New Hampshire had combined HIV and STD PNS programs; Rhode Island's programs were integrated but employed separate disease intervention specialists (DIS). All states performed PNS for HIV and syphilis. Maine, New Hampshire and Vermont performed services for all gonorrhea cases. Rhode Island, Connecticut, and Massachusetts performed limited partner notification for gonorrhea due to lack of resources. None of the six states routinely provided services for chlamydia, though Maine and Vermont did so for high-priority populations such as HIV co-infected or pregnant individuals. Across all programs, clients received risk reduction counseling and general STD education as a component of PNS, in addition to referrals for HIV/STD care at locations ranging from Planned Parenthood to community- or hospital-based clinics. Notable barriers to successful partner notification across all states included anonymous partners and index cases who did not feel comfortable sharing partners' names with DIS. Other common barriers included insufficient staff, inability of DIS to identify and contact partners, and index cases declining to speak with DIS staff. CONCLUSIONS: In New England, state health departments use different strategies to implement PNS programs and referral to STD care. Despite this, similar challenges exist across settings, including difficulty with anonymous partners and limited state resources.

Insurance Coverage and Utilization at a Sexually Transmitted Disease Clinic in a Medicaid Expansion State.

BACKGROUND: In Rhode Island, the Patient Protection and Affordable Care Act has led to over 95% of the state's population being insured. We evaluated insurance coverage and barriers to insurance use among patients presenting for services at the Rhode Island sexually transmitted disease (STD) clinic. METHODS: We analyzed factors associated with insurance coverage and utilization among patients presenting for STD services between July and December 2015. RESULTS: A total of 692 patients had insurance information available; of those, 40% were uninsured. Patients without insurance were more likely than those with insurance to be nonwhite (50% among uninsured, compared with 40% among insured; P = 0.014) and Hispanic or Latino/a (25%, compared with 16%; P = 0.006), and less likely to be men who have sex with men (27%, compared with 39%; P = 0.001). Of those with health insurance, 26% obtained coverage as a result of the Affordable Care Act, and 56% of those were previously uninsured. Among uninsured individuals, barriers to obtaining health insurance included cost and unemployment. Among those with insurance, 43% reported willingness to use insurance for STD services. Barriers to insurance use included concerns about anonymity and out-of-pocket costs. CONCLUSIONS: Despite expanded insurance access, many individuals presenting to the Rhode Island STD Clinic were uninsured. Among those who were insured, significant barriers still existed to using insurance. STD clinics continue to play an important role in providing safety-net STD services in states with low uninsured rates. Both public and private insurers are needed to address financial barriers and optimize payment structures for services.

Beyond HIV outbreaks: protocol, rationale and implementation of a prospective study quantifying the benefit of incorporating viral sequence clustering analysis into routine public health interventions.

INTRODUCTION: HIV continues to have great impact on millions of lives. Novel methods are needed to disrupt HIV transmission networks. In the USA, public health departments routinely conduct contact tracing and partner services and interview newly HIV-diagnosed index cases to obtain information on social networks and guide prevention interventions. Sequence clustering methods able to infer HIV networks have been used to investigate and halt outbreaks. Incorporation of such methods into routine, not only outbreak-driven, contact tracing and partner services holds promise for further disruption of HIV transmissions. METHODS AND ANALYSIS: Building on a strong academic-public health collaboration in Rhode Island, we designed and have implemented a state-wide prospective study to evaluate an intervention that incorporates real-time HIV molecular clustering information with routine contact tracing and partner services. We present the rationale and study design of our approach to integrate sequence clustering methods into routine public health interventions as well as related important ethical considerations. This prospective study addresses key questions about the benefit of incorporating a clustering analysis triggered intervention into the routine workflow of public health departments, going beyond outbreak-only circumstances. By developing an intervention triggered by, and incorporating information from, viral sequence clustering analysis, and evaluating it with a novel design that avoids randomisation while allowing for methods comparison, we are confident that this study will inform how viral sequence clustering analysis can be routinely integrated into public health to support the ending of the HIV pandemic in the USA and beyond. ETHICS AND DISSEMINATION: The study was approved by both the Lifespan and Rhode Island Department of Health Human Subjects Research Institutional Review Boards and study results will be published in peer-reviewed journals.

Statewide Longitudinal Trends in Transmitted HIV-1 Drug Resistance in Rhode Island, USA.

BACKGROUND: HIV-1 transmitted drug resistance (TDR) remains a global challenge that can impact care, yet its comprehensive assessment is limited and heterogenous. We longitudinally characterized statewide TDR in Rhode Island. METHODS: Demographic and clinical data from treatment-naïve individuals were linked to protease, reverse transcriptase, and integrase sequences routinely obtained over 2004-2020. TDR extent, trends, impact on first-line regimens, and association with transmission networks were assessed using the Stanford Database, Mann-Kendall statistic, and phylogenetic tools. RESULTS: In 1123 individuals, TDR to any antiretroviral increased from 8% (2004) to 26% (2020), driven by non-nucleotide reverse transcriptase inhibitor (NNRTI; 5%-18%) and, to a lesser extent, nucleotide reverse transcriptase inhibitor (NRTI; 2%-8%) TDR. Dual- and triple-class TDR rates were low, and major integrase strand transfer inhibitor resistance was absent. Predicted intermediate to high resistance was in 77% of those with TDR, with differential suppression patterns. Among all individuals, 34% were in molecular clusters, some only with members with TDR who shared mutations. Among clustered individuals, people with TDR were more likely in small clusters. CONCLUSIONS: In a unique (statewide) assessment over 2004-2020, TDR increased; this was primarily, but not solely, driven by NNRTIs, impacting antiretroviral regimens. Limited TDR to multiclass regimens and pre-exposure prophylaxis are encouraging; however, surveillance and its integration with molecular epidemiology should continue in order to potentially improve care and prevention interventions.

Machine learning takes a village: Assessing neighbourhood-level vulnerability for an overdose and infectious disease outbreak.

BACKGROUND: Multiple areas in the United States of America (USA) are experiencing high rates of overdose and outbreaks of bloodborne infections, including HIV and hepatitis C virus (HCV), due to non-sterile injection drug use. We aimed to identify neighbourhoods at increased vulnerability for overdose and infectious disease outbreaks in Rhode Island, USA. The primary aim was to pilot machine learning methods to identify which neighbourhood-level factors were important for creating "vulnerability assessment scores" across the state. The secondary aim was to engage stakeholders to pilot an interactive mapping tool and visualize the results. METHODS: From September 2018 to November 2019, we conducted a neighbourhood-level vulnerability assessment and stakeholder engagement process named The VILLAGE Project (Vulnerability Investigation of underlying Local risk And Geographic Events). We developed a predictive analytics model using machine learning methods (LASSO, Elastic Net, and RIDGE) to identify areas with increased vulnerability to an outbreak of overdose, HIV and HCV, using census tract-level counts of overdose deaths as a proxy for injection drug use patterns and related health outcomes. Stakeholders reviewed mapping tools for face validity and community distribution. RESULTS: Machine learning prediction models were suitable for estimating relative neighbourhood-level vulnerability to an outbreak. Variables of importance in the model included housing cost burden, prior overdose deaths, housing density, and education level. Eighty-nine census tracts (37%) with no prior overdose fatalities were identified as being vulnerable to such an outbreak, and nine of those were identified as having a vulnerability assessment score in the top 25%. Results were disseminated as a vulnerability stratification map and an online interactive mapping tool. CONCLUSION: Machine learning methods are well suited to predict neighborhoods at higher vulnerability to an outbreak. These methods show promise as a tool to assess structural vulnerabilities and work to prevent outbreaks at the local level.

Longitudinal typing of molecular HIV clusters in a statewide epidemic.

BACKGROUND: HIV molecular epidemiology is increasingly integrated into public health prevention. We conducted cluster typing to enhance characterization of a densely sampled statewide epidemic towards informing public health. METHODS: We identified HIV clusters, categorized them into types, and evaluated their dynamics between 2004 and 2019 in Rhode Island. We grouped sequences by diagnosis year, assessed cluster changes between paired phylogenies, t0 and t1, representing adjacent years and categorized clusters as stable (cluster in t0 phylogeny = cluster in t1 phylogeny) or unstable (cluster in t0 ≠ cluster in t1). Unstable clusters were further categorized as emerging (t1 phylogeny only) or growing (larger in t1 phylogeny). We determined proportions of each cluster type, of individuals in each cluster type, and of newly diagnosed individuals in each cluster type, and assessed trends over time. RESULTS: A total of 1727 individuals with available HIV-1 subtype B pol sequences were diagnosed in Rhode Island by 2019. Over time, stable clusters and individuals in them dominated the epidemic, increasing over time, with reciprocally decreasing unstable clusters and individuals in them. Conversely, proportions of newly diagnosed individuals in unstable clusters significantly increased. Within unstable clusters, proportions of emerging clusters and of individuals in them declined; whereas proportions of newly diagnosed individuals in growing clusters significantly increased over time. CONCLUSION: Distinct molecular cluster types were identified in the Rhode Island epidemic. Cluster dynamics demonstrated increasing stable and decreasing unstable clusters driven by growing, rather than emerging clusters, suggesting consistent in-state transmission networks. Cluster typing could inform public health beyond conventional approaches and direct interventions.

Public Health Approaches Toward Eliminating Hepatitis C Virus in Rhode Island.

Hepatitis C Virus (HCV) continues to be a cause of significant morbidity and mortality around the world surpassing HIV, Tuberculosis and Malaria as the leading cause of death by an infectious disease. In the United States, advances in screening, testing and treatment have put the goal set by the World Health Organization (WHO) to HCV elimination within reach. Rhode Island has taken an innovative public health approach to eliminating HCV by improving disease surveillance activities, supporting disease reduction strategies and removing barriers across the continuum of care, particularly for populations that are disproportionately impacted by the disease. Through the coordination of the Rhode Island Hepatitis C Action Coalition, the Rhode Island Department of Health (RIDOH), the Executive Office of Health and Human Services (EOHHS), community organizations, and clinical leaders, important steps have been taken to reduce transmission of the disease and work toward HCV elimination.

Evaluating statewide HIV preexposure prophylaxis implementation using All-Payer Claims Data.

PURPOSE: Preexposure prophylaxis (PrEP) in the form of daily emtricitabine and tenofovir disoproxil fumarate (FTC/TDF) is effective for preventing HIV infection. Implementation has been limited by an inability to systematically evaluate uptake and use. All-Payer Claims Databases (APCDs) provide an opportunity to evaluate population-level PrEP implementation. METHODS: We used 2012-2017 data from Rhode Island's APCD and developed an algorithm to identify individuals prescribed FTC/TDF for PrEP. We describe PrEP implementation by patient demographics and provider type and mapped PrEP implementation across ZIP codes. We compared APCD data to electronic medical record data and comprehensive pharmaceutical claims data (AIDSVu.org). RESULTS: The Rhode Island APCD represented approximately 87% of the state's population. PrEP use increased 31-fold from 2012 to 2017. Users were predominantly privately insured, male, and concentrated in Providence County (76.6%). Infectious diseases providers had 3.2 times the odds of being a PrEP prescriber compared to primary care providers. Compared to other pharmaceutical and electronic medical record data, the APCD underestimated the number of PrEP users in Rhode Island but improved in capturing users over time. CONCLUSIONS: APCDs are a useful data source for characterizing PrEP use across a state. There is a need to increase PrEP prescribing among primary care providers, especially in areas with underserved populations.

Challenges in evaluating the use of viral sequence data to identify HIV transmission networks for public health.

Great efforts are devoted to end the HIV epidemic as it continues to have profound public health consequences in the United States and throughout the world, and new interventions and strategies are continuously needed. The use of HIV sequence data to infer transmission networks holds much promise to direct public heath interventions where they are most needed. As these new methods are being implemented, evaluating their benefits is essential. In this paper, we recognize challenges associated with such evaluation, and make the case that overcoming these challenges is key to the use of HIV sequence data in routine public health actions to disrupt HIV transmission networks.

Empirical comparison of analytical approaches for identifying molecular HIV-1 clusters.

Public health interventions guided by clustering of HIV-1 molecular sequences may be impacted by choices of analytical approaches. We identified commonly-used clustering analytical approaches, applied them to 1886 HIV-1 Rhode Island sequences from 2004-2018, and compared concordance in identifying molecular HIV-1 clusters within and between approaches. We used strict (topological support ≥ 0.95; distance 0.015 substitutions/site) and relaxed (topological support 0.80-0.95; distance 0.030-0.045 substitutions/site) thresholds to reflect different epidemiological scenarios. We found that clustering differed by method and threshold and depended more on distance than topological support thresholds. Clustering concordance analyses demonstrated some differences across analytical approaches, with RAxML having the highest (91%) mean summary percent concordance when strict thresholds were applied, and three (RAxML-, FastTree regular bootstrap- and IQ-Tree regular bootstrap-based) analytical approaches having the highest (86%) mean summary percent concordance when relaxed thresholds were applied. We conclude that different analytical approaches can yield diverse HIV-1 clustering outcomes and may need to be differentially used in diverse public health scenarios. Recognizing the variability and limitations of commonly-used methods in cluster identification is important for guiding clustering-triggered interventions to disrupt new transmissions and end the HIV epidemic.

Increasing Syphilis in Rhode Island: Return of an Old Foe.

The number of people diagnosed with syphilis has increased significantly in the United States over the last decade. In Rhode Island, the number of new diagnoses has increased more than four-fold since 2008. Syphilis disproportionately impacts gay, bisexual, and other men who have sex with men (MSM), with those from African American and Hispanic/Latino communities most affected. Given these trends, physicians need to be aware of current prevention, diagnosis, and treatment practices for syphilis, especially when working with populations who are most at risk. [Full article available at http://rimed.org/rimedicaljournal-2019-02.asp].

A Nearly 50% Decrease in New HIV Diagnoses in Rhode Island from 2006-2016: Implications for Policy Development and Prevention.

In the last decade, reductions in HIV incidence have been observed across the United States. However, HIV continues to disproportionately impact gay, bisexual, and other men who have sex with men (MSM). In Rhode Island, rates of HIV diagnoses have decreased by 44% across all groups over the last decade. This success has been the result of close collaboration across multiple sectors. Different prevention approaches, including syringe exchange programs, community-based HIV testing, condom distribution, HIV care and treatment, and pre-exposure prophylaxis (PrEP) have all contributed to the decline in HIV diagnoses across the state. In 2015, Rhode Island became one of the first states to sign on to the Joint United Nations Programme on HIV/AIDS "90-90-90" campaign to end the HIV epidemic by 2030. Intensified and innovative initiatives are needed to improve progress in HIV prevention and treatment, especially in populations who are most at risk.

Partner notification outcomes after integration of an on-site disease intervention specialist at a sexually transmitted disease clinic.

BACKGROUND: Partner notification services (PNS) are highly effective in reducing transmission of sexually transmitted diseases (STDs). We assessed outcomes of PNS before and after integration of an on-site disease intervention specialist (DIS) at a publicly-funded STD clinic. METHODS: From August 2014 to December 2015, patients testing positive for infectious syphilis or gonorrhea at the Rhode Island STD Clinic were referred to on-site DIS for partner notification. Data on PNS outcomes were reviewed for eight months before integration of DIS at the clinic and compared to eight months after. RESULTS: Of the 145 index patients referred for PNS during the study period (n = 58 before DIS integration, n = 87 after), 86% were interviewed. DIS integration resulted in a significantly greater proportion of index patients interviewed overall (92% versus 76%, p<0.01), on the day of diagnosis (85% versus 61%; p<0.01), and in person at the STD clinic (64% versus 11%; p<0.01). However, there was no significant difference in number of sexual partners named or treated. CONCLUSIONS: Integrating DIS at a publicly-funded STD clinic resulted in a greater number of index cases interviewed, a greater number interviewed in person, and a greater number interviewed on the day of diagnosis. Challenges remain in identifying and engaging partners for treatment.

Health Equity, Social Justice, and HIV in Rhode Island: A Contemporary Challenge.

From its beginning, HIV has primarily affected marginalized populations, such as injection drug users, gay, bisexual and other men who have sex with men (GBMSM), and minority racial and ethnic groups. HIV is a disease that, from the start, has been strongly influenced by issues related to social justice and health equity due to its intersection with behaviors among at-risk populations. While some of the risks associated with HIV have been successfully mitigated through social justice initiatives related to needle exchange programs and routine HIV testing of pregnant women, Rhode Island remains confronted with the health equity challenges of preventing HIV transmission and ensuring access to HIV care/treatment, especially for Black/African Americans, Hispanics, and GBMSM. [Full article available at http://rimed.org/rimedicaljournal-2016-11.asp].