Shifting the paradigm: using HIV surveillance data as a foundation for improving HIV care and preventing HIV infection

Exploring salivary metabolome alterations in people with HIV: towards early diagnostic markers

Background

The human immunodeficiency virus (HIV) remains a critical global health issue, with a pressing need for effective diagnostic and monitoring tools.

Methodology

This study explored distinctions in salivary metabolome among healthy individuals, individuals with HIV, and those receiving highly active antiretroviral therapy (HAART). Utilizing LC-MS/MS for exhaustive metabolomics profiling, we analyzed 90 oral saliva samples from individuals with HIV, categorized by CD4 count levels in the peripheral blood.

Results

Orthogonal partial least squares-discriminant analysis (OPLS-DA) and other analyses underscored significant metabolic alterations in individuals with HIV, especially in energy metabolism pathways. Notably, post-HAART metabolic profiles indicated a substantial presence of exogenous metabolites and changes in amino acid pathways like arginine, proline, and lysine degradation. Key metabolites such as citric acid, L-glutamic acid, and L-histidine were identified as potential indicators of disease progression or recovery. Differential metabolite selection and functional enrichment analysis, combined with receiver operating characteristic (ROC) and random forest analyses, pinpointed potential biomarkers for different stages of HIV infection. Additionally, our research examined the interplay between oral metabolites and microorganisms such as herpes simplex virus type 1 (HSV1), bacteria, and fungi in individuals with HIV, revealing crucial interactions.

Conclusion

This investigation seeks to contribute understanding into the metabolic shifts occurring in HIV infection and following the initiation of HAART, while tentatively proposing novel avenues for diagnostic and treatment monitoring through salivary metabolomics.

Using Data-To-Care Strategies to Optimize the HIV Care Continuum in Connecticut: Results From a Randomized Controlled Trial

BACKGROUND

Re-engaging people with HIV who are newly out-of-care remains challenging. Data-to-care (D2C) is a potential strategy to re-engage such individuals.

METHODS

A prospective randomized controlled trial compared a D2C strategy using a disease intervention specialist (DIS) vs standard of care where 23 HIV clinics in 3 counties in Connecticut could re-engage clients using existing methods. Using a data reconciliation process to confirm being newly out-of-care, 655 participants were randomized to DIS (N = 333) or standard of care (N = 322). HIV care continuum outcomes included re-engagement at 90 days, retention in care, and viral suppression by 12 months. Multivariable regression models were used to assess factors predictive of attaining HIV care continuum outcomes.

RESULTS

Participants randomized to DIS were more likely to be re-engaged at 90 days (adjusted odds ratios [aOR] = 1.42, P = 0.045). Independent predictors of re-engagement at 90 days were age older than 40 years (aOR = 1.84, P = 0.012) and perinatal HIV risk category (aOR = 3.19, P = 0.030). Predictors of retention at 12 months included re-engagement at 90 days (aOR = 10.31, P < 0.001), drug injection HIV risk category (aOR = 1.83, P = 0.032), detectable HIV-1 RNA before randomization (aOR = 0.40, P = 0.003), and county (Hartford aOR = 1.74, P = 0.049; New Haven aOR = 1.80, P = 0.030). Predictors of viral suppression included re-engagement at 90 days (aOR = 2.85, P < 0.001), retention in HIV care (aOR = 7.07, P < 0.001), and detectable HIV-1 RNA prerandomization (aOR = 0.23, P < 0.001).

CONCLUSIONS

A D2C strategy significantly improved re-engagement at 90 days. Early re-engagement improved downstream benefits along the HIV care continuum like retention in care and viral suppression at 12 months. Moreover, other factors predictive of care continuum outcomes can be used to improve D2C strategies.

The Application of Australian Rights Protections to the Use of Hepatitis C Notification Data to Engage People 'Lost to Follow Up'

Hepatitis C is a global public health threat, affecting 56 million people worldwide. The World Health Organization has committed to eliminating hepatitis C by 2030. Although new treatments have revolutionised the treatment and care of people with hepatitis C, treatment uptake has slowed in recent years, drawing attention to the need for innovative approaches to reach elimination targets. One approach involves using existing notifiable disease data to contact people previously diagnosed with hepatitis C. Within these disease surveillance systems, however, competing tensions exist, including protecting individual rights to privacy and autonomy, and broader public health goals. We explore these issues using hepatitis C and Australia's legislative and regulatory frameworks as a case study. We examine emerging uses of notification data to contact people not yet treated, and describe some of the ethical dilemmas associated with the use and non-use of this data and the protections that exist to preserve individual rights and public health. We reveal weaknesses in rights protections and processes under Australian public health and human rights legislation and argue for consultation with and involvement of affected communities in policy and intervention design before notification data is used to increase hepatitis C treatment coverage.

Toward Consent in Molecular HIV Surveillance?: Perspectives of Critical Stakeholders

BACKGROUND

The emergence of molecular HIV surveillance (MHS) and cluster detection and response (CDR) programs as key features of the United States (US) HIV strategy since 2018 has caused major controversies. HIV surveillance programs that re-use individuals' routinely collected clinical HIV data do not require consent on the basis that the public benefit of these programs outweighs individuals' rights to opt out. However, criticisms of MHS/CDR have questioned whether expanded uses of HIV genetic sequence data for prevention reach beyond traditional public health ethics frameworks. This study aimed to explore views on consent within MHS/CDR among critical stakeholders.

METHODS

In 2021 we interviewed 26 US HIV stakeholders who identified as being critical or concerned about the rollout of MHS/CDR. Stakeholders included participants belonging to networks of people living with HIV, other advocates, academics, and public health professionals. This analysis focused on identifying the range of positions among critical and concerned stakeholders on consent affordances, opt-outs, how to best inform people living with HIV about how data about them are used in public health programs, and related ethical issues.

RESULTS

Participants were broadly supportive of introducing some forms of consent into MHS/CDR. However, they differed on the specifics of implementing consent. While some participants did not support introducing consent affordances, all supported the idea that people living with HIV should be informed about how HIV surveillance and prevention is conducted and how individuals' data are used.

CONCLUSIONS

MHS/CDR has caused sustained controversy. Among critical stakeholders, consent is generally desirable but contested, although the right for people living with HIV to be informed was centrally supported. In an era of big data-driven public health interventions and routine uses of HIV genetic sequence data in surveillance and prevention, CDC and other agencies should revisit public health ethics frameworks and consider the possibility of consent processes.

Advancing Dialogue About Consent and Molecular HIV Surveillance in the United States: Four Proposals Following a Federal Advisory Panel's Call for Major Reforms

Policy Points Molecular HIV surveillance and cluster detection and response (MHS/CDR) programs have been a core public health activity in the United States since 2018 and are the "fourth pillar" of the Ending the HIV Epidemic initiative launched in 2019. MHS/CDR has caused controversy, including calls for a moratorium from networks of people living with HIV. In October 2022, the Presidential Advisory Council on HIV/AIDS (PACHA) adopted a resolution calling for major reforms. We analyze the policy landscape and present four proposals to federal stakeholders pertaining to PACHA's recommendations about incorporating opt-outs and plain-language notifications into MHS/CDR programs.

Creating a Longitudinal HCV Care Cascade for Persons With HIV/HCV Coinfection in Selected HIV Clinics Using Data to Care Methods

Highly effective direct-acting antiviral (DAA) treatments for hepatitis C have led to strategic goals promoting hepatitis C virus (HCV) cure particularly in focus populations including persons with HIV/HCV coinfection. Implementing treatment more broadly requires both clinic-level and public health approaches such as those inherent in Data to Care (D2C) originally developed to improve the treatment cascade for persons with HIV (PWH). We used D2C methods to characterize and improve HCV treatment for persons with HIV/HCV coinfection among 11 HIV clinics in Connecticut cities with high PWH prevalence. Providers who were local champions in HCV treatment were recruited to participate along with clinic data staff and were key to quality improvement via practice transformation. We developed a methodology whereby clinic-generated lists of PWH receiving care from 2009 to 2018 were matched by CT Department of Public Health (DPH) against the state-wide HCV surveillance system. The resultant coinfection list was reviewed by clinical staff who designated HCV treatment status, enabling creation of individual clinic-level HCV treatment cascades. Data from DPH, especially current residency and deaths, enabled better characterization and allowed for refinement of longitudinal cascades. There were 1,496 patients with HIV/HCV coinfection. Sustained virologic response (SVR) rates varied by clinic (range, 44%-100%) with an aggregate SVR rate of 71% in September 2020. SVR rates improved during the project through a combination of increased treatment initiation/completion as well as data clean-up including serial updates of patient treatment status. Lack of treatment initiation was associated with being female (odds ratio [OR] = 2.18) and not having HIV viral suppression (OR = 3.24).

Study protocol for data to suppression (D2S): a cluster-randomised, stepped-wedge effectiveness trial of a reporting and capacity-building intervention to improve HIV viral suppression in housing and behavioural health programmes in New York City

INTRODUCTION

With progress in the 'diagnose', 'link' and 'retain' stages of the HIV care continuum, viral suppression (VS) gains increasingly hinge on antiretroviral adherence among people with HIV (PWH) retained in care. The Centers for Disease Control and Prevention estimate that unsuppressed viral load among PWH in care accounts for 20% of onward transmission. HIV intervention strategies include 'data to care' (D2C)-using surveillance to identify out-of-care PWH for follow-up. However, most D2C efforts target care linkage, not antiretroviral adherence, and limit client-level data sharing to medical (versus support-service) providers. Drawing on lessons learnt in D2C and successful local pilots, we designed a 'data-to-suppression' intervention that offers HIV support-service programmes surveillance-based reports listing their virally unsuppressed clients and capacity-building assistance for quality-improvement activities. We aimed to scale and test the intervention in agencies delivering Ryan White HIV/AIDS Programme-funded behavioural health and housing services.

METHODS AND ANALYSIS

To estimate intervention effects, this study applies a cross-sectional, stepped-wedge design to the intervention's rollout to 27 agencies randomised within matched pairs to early or delayed implementation. Data from three 12-month periods (pre-implementation, partial implementation and full implementation) will be examined to assess intervention effects on timely VS (within 6 months of a report listing the client as needing follow-up for VS). Based on projected enrolment (n=1619) and a pre-implementation outcome probability of 0.40-0.45, the detectable effect size with 80% power is an OR of 2.12 (relative risk: 1.41-1.46).

ETHICS AND DISSEMINATION

This study was approved by the New York City Department of Health and Mental Hygiene's institutional review board (protocol: 21-036) with a waiver of informed consent. Findings will be disseminated via publications, conferences and meetings including provider-agency representatives.

TRIAL REGISTRATION NUMBER

NCT05140421.

Enhancing the ATra Black Box Matching Algorithm: Use of All Names for Deduplication Across Jurisdictions

OBJECTIVES

Achieving accurate, timely, and complete HIV surveillance data is complicated in the United States by migration and care seeking across jurisdictional boundaries. To address these issues, public health entities use the ATra Black Box-a secure, electronic, privacy-assuring system developed by Georgetown University-to identify and confirm potential duplicate case records, exchange data, and perform other analytics to improve the quality of data in the Enhanced HIV/AIDS Reporting System (eHARS). We aimed to evaluate the ability of 2 ATra software algorithms to identify potential duplicate case-pairs across 6 jurisdictions for people living with diagnosed HIV.

METHODS

We implemented 2 matching algorithms for identifying potential duplicate case-pairs in ATra software. The Single Name Matching Algorithm examines only 1 name for a person, whereas the All Names Matching Algorithm examines all names in eHARS for a person. Six public health jurisdictions used the algorithms. We compared outputs for the overall number of potential matches and changes in matching level.

RESULTS

The All Names Matching Algorithm found more matches than the Single Name Matching Algorithm and increased levels of match. The All Names Matching Algorithm identified 9070 (4.5%) more duplicate matches than the Single Name Matching Algorithm (n = 198 828) and increased the total number of matches at the exact through high levels by 15.4% (from 167 156 to 192 932; n = 25 776).

CONCLUSIONS

HIV data quality across multiple jurisdictions can be improved by using all known first and last names of people living with diagnosed HIV that match with eHARS rather than using only 1 first and last name.

Overcoming Challenges to HIV Medical Care-seeking and Treatment Among Data-to-Care Program Clients in Baton Rouge and New Orleans, Louisiana

ABSTRACT

Data to Care (D2C) uses US public health surveillance data to identify persons with diagnosed HIV who are not receiving adequate medical care. These persons are linked to care and ancillary social services through personalized outreach. We conducted semistructured interviews with 36 adults with HIV in Louisiana who were engaged for the first time or reengaged back into HIV care through D2C efforts. Before D2C program staff contact, nearly 40% were not contemplating HIV care. Program clients cited barriers to HIV care, including difficulties with appointment scheduling and transportation, health care service and drug costs, low motivation, and competing non-HIV health needs. Thirty-four of the 36 clients said that D2C staff helped them overcome these barriers. Clients also described psychosocial support from D2C staff. After receiving D2C program assistance, more than 90% of clients reported consistently receiving HIV medical care and taking medications. Our findings suggest that D2C staff successfully identified client needs and provided tailored assistance.

Implementation of Lost & Found, An Intervention to Reengage Patients Out of HIV Care: A Convergent Explanatory Sequential Mixed-Methods Analysis

Being out of HIV care (OOC) is associated with increased morbidity and mortality. We assessed implementation of Lost & Found, a clinic-based intervention to reengage OOC patients. OOC patients were identified using a nurse-validated, real-time OOC list within the electronic medical records (EMR) system. Nurses called OOC patients. Implementation occurred at the McGill University Health Centre from April 2018 to 2019. Results from questionnaires to nurses showed elevated scores for implementation outcomes throughout, but with lower, more variable scores during pre-implementation to month 3 [e.g., adoption subscales (scale: 1-5): range from pre-implementation to month 3, 3.7-4.9; thereafter, 4.2-4.9]. Qualitative results from focus groups with nurses were consistent with observed quantitative trends. Barriers concerning the EMR and nursing staff shortages explained reductions in fidelity. Strategies for overcoming barriers to implementation were crucial in early months of implementation. Intervention compatibility, information systems support, as well as nurses' team processes, knowledge, and skills facilitated implementation.

Advancing a Data Justice Framework for Public Health Surveillance

BACKGROUND

Bioethical debates about privacy, big data, and public health surveillance have not sufficiently engaged the perspectives of those being surveilled. The data justice framework suggests that big data applications have the potential to create disproportionate harm for socially marginalized groups. Using examples from our research on HIV surveillance for individuals incarcerated in jails, we analyze ethical issues in deploying big data in public health surveillance.

METHODS

We conducted qualitative, semi-structured interviews with 24 people living with HIV who had been previously incarcerated in county jails about their perspectives on and experiences with HIV surveillance, as part of a larger study to characterize ethical considerations in leveraging big data techniques to enhance continuity of care for incarcerated people living with HIV.

RESULTS

Most participants expressed support for the state health department tracking HIV testing results and viral load data. Several viewed HIV surveillance as a violation of privacy, and several had actively avoided contact from state public health outreach workers. Participants were most likely to express reservations about surveillance when they viewed the state's motives as self-interested. Perspectives highlight the mistrust that structurally vulnerable people may have in the state's capacity to act as an agent of welfare. Findings suggest that adopting a nuanced, context-sensitive view on surveillance is essential.

CONCLUSIONS

Establishing trustworthiness through interpersonal interactions with public health personnel is important to reversing historical legacies of harm to racial minorities and structurally vulnerable groups. Empowering stakeholders to participate in the design and implementation of data infrastructure and governance is critical for advancing a data justice agenda, and can offset privacy concerns. The next steps in advancing the data justice framework in public health surveillance will be to innovate ways to represent the voices of structurally vulnerable groups in the design and governance of big data initiatives.

Advancing data to care strategies for persons with HIV using an innovative reconciliation process

Background

UN AIDS has set ambitious 95-95-95 HIV care continuum targets for global HIV elimination by 2030. The U.S. HIV Care Continuum in 2018 showed that 65% of persons with HIV(PWH) are virally suppressed and 58% retained in care. Incomplete care-engagement not only affects individual health but drives ongoing HIV transmission. Data to Care (D2C) is a strategy using public health surveillance data to identify and re-engage out-of-care (OOC) PWH. Optimization of this strategy is needed.

Setting

Statewide partnership with Connecticut Department of Public Health (CT DPH), 23 HIV clinics and Yale University School of Medicine (YSM). Our site was one of 3 participants in the CDC-sponsored RCT evaluating the efficacy of DPH-employed Disease Intervention Specialists (DIS) for re-engagement in care.

Methods

From 11/2016-7/2018, a data reconciliation process using public health surveillance and clinic visit data was used to identify patients eligible for randomization (defined as in-Care for 12 months and OOC for subsequent 6-months) to receive DIS intervention. Clinic staff further reviewed this list and designated those who would not be randomized based on established criteria.

Results

2958 patients were eligible for randomization; 655 (22.1%) were randomized. Reasons for non-randomizing included: well patient [499 (16.9%)]; recent visit [946 (32.0%)]; upcoming visit [398 (13.5%)]. Compared to non-randomized patients, those who were randomized were likely to be younger (mean age 46.1 vs. 51.6, p < .001), Black (40% vs 35%)/Hispanic (37% vs 32.8%) [(p < .001)], have CD4<200 cells/ul (15.9% vs 8.5%, p < .001) and viral load >20 copies/ml (43.8% vs. 24.1%, 0<0.001). Extrapolating these estimates to a statewide HIV care continuum suggests that only 8.3% of prevalent PWH are truly OOC.

Conclusions

A D2C process that integrated DPH surveillance and clinic data successfully refined the selection of newly OOC PWH eligible for DIS intervention. This approach more accurately reflects real world care engagement and can help prioritize DPH resources.

Community and Provider Perspectives on Molecular HIV Surveillance and Cluster Detection and Response for HIV Prevention: Qualitative Findings From King County, Washington

ABSTRACT

Responding quickly to HIV outbreaks is one of four pillars of the U.S. Ending the HIV Epidemic (EHE) initiative. Inclusion of cluster detection and response in the fourth pillar of EHE has led to public discussion concerning bioethical implications of cluster detection and response and molecular HIV surveillance (MHS) among public health authorities, researchers, and community members. This study reports on findings from a qualitative analysis of interviews with community members and providers regarding their knowledge and perspectives of MHS. We identified five key themes: (a) context matters, (b) making sense of MHS, (c) messaging, equity, and resource prioritization, (d) operationalizing confidentiality, and (e) stigma, vulnerability, and power. Inclusion of community perspectives in generating innovative approaches that address bioethical concerns related to the use of MHS data is integral to ensure that widely accessible information about the use of these data is available to a diversity of community members and providers.

Increased reengagement of out-of-care HIV patients using Lost & Found, a clinic-based intervention

BACKGROUND

Negative health outcomes associated with being out of HIV care (OOC) warrant reengagement strategies. We aimed to assess effectiveness of Lost & Found, a clinic-based intervention to identify and reengage OOC patients.

METHODS

Developed and delivered using implementation science, Lost & Found consists of two core elements: identification, operationalized through nurse validation of a real-time list of possible OOC patients; and contact, via nurse-led phone calls. It was implemented over a 12-month period (2018-2019) at the Chronic Viral Illness Service, McGill University Health Centre (CVIS-MUHC) during a type-II implementation-effectiveness hybrid pilot study. Descriptive outcomes of interest were identification as possibly OOC, OOC confirmation, contact, and successful reengagement. We present results from a pre-post analysis comparing overall reengagement to the year prior, using robust Poisson regression controlled for sex, age, and Canadian birth. Time to reengagement is reported using a Cox proportional hazards model.

RESULTS

Over half (56%; 1312 of 2354) of CVIS-MUHC patients were identified as possibly OOC. Among these, 44% (n = 578) were followed elsewhere, 19% (n = 249) engaged in care, 3% (n = 33) deceased, 2% (n = 29) otherwise not followed, and 32% (n = 423) OOC. Of OOC patients contacted (85%; 359/423), 250 (70%) reengaged and 40 (11%) had upcoming appointments; the remainder were unreachable, declined care, or missed given appointments. Pre-post results indicate people who received Lost & Found were 1.18 [95% confidence interval (CI) 1.02-1.36] times more likely to reengage, and reengaged a median 55 days (95% CI 14-98) sooner.

CONCLUSION

Lost & Found may be a viable clinic-based reengagement intervention for OOC patients. More robust evaluations are needed.

The Cooperative Re-Engagement Controlled trial (CoRECT): A randomised trial to assess a collaborative data to care model to improve HIV care continuum outcomes

Background

Persons with HIV (PWH), aware of their HIV infection but not in care account for an estimated 42.6% of HIV transmissions in the United States. Health departments and clinics implemented a collaborative data-to-care strategy to identify persons newly out-of-care with the objective of increasing re-engagement, retention in medical care, and viral load suppression.

Methods

A multi-site, prospective randomised trial was conducted to identify newly out-of-care PWH using surveillance and clinic data in Connecticut (CT), Massachusetts (MA) and Philadelphia (PHL). All out-of-care participants were randomised to receive standard of care or an active public health intervention. Re-engagement in care was defined as having a documented CD4 count and/or HIV viral load within 90 days of randomization. Retention was defined as having at least two CD4 count and/or HIV viral load results ≥ 3 months apart within 12 months of randomization, and viral load suppression as having a viral load < 200 copies/ml within 12 months of randomization.

Findings

Between August 2016 and July 2018, 1893 out-of-care participants were randomised from CT (N = 654), MA (N = 630), and PHL (N = 609). Participants were male (69.5%), non-Hispanic Black (48.3%) and men who have sex with men (38.8%). Re-engagement within 90 days was significantly higher for the intervention group overall and in all three jurisdictions (All sites: 54.9% vs 42.1%, p < 0.0001; CT: 51.2% vs 41.9%, p = 0.02; MA: 52.7% vs 44.1%, p = 0.03; PHL 61.2% vs 40.3%, p < 0.0001). Retention in care over 12 months improved overall (p = 0.04). Median time to viral suppression was reduced overall (p = 0.0006); CT (p = 0.32), MA (p = 0.02) and PHL (p < 0.0001).

Interpretation

This trial showed that a collaborative, data-to-care strategy, and active public health intervention led by health departments significantly increases the proportion of PWH re-engaged in HIV care and may improve retention in care and decrease time to viral suppression.

HIV self-testing: A review and analysis to guide HIV prevention policy

HIV self-testing is a relatively new approach to HIV testing that, with increasing licensure in many countries, is an impending intervention. Considering such current or near-future implementation, it is important for HIV prevention policymakers to reflect on if and how to incorporate HIV self-testing. In this paper, using the Impact Fraction Model and the Anderson-May equation, I discuss how HIV self-testing should be an efficacious prevention approach when targeted appropriately. I then review the potential impacts of self-testing on HIV surveillance and discuss possible ethical concerns about such testing. The outcome of this analysis is that, while some issues may arise related to surveillance, and while some ethical concerns can be raised, no empirical evidence substantiates either, suggesting that HIV self-testing is an important strategy if it can be focused on and used by the persons most affected by HIV.

Applying a machine learning modelling framework to predict delayed linkage to care in patients newly diagnosed with HIV in Mecklenburg County, North Carolina, USA

BACKGROUND

Machine learning has the potential to help researchers better understand and close the gap in HIV care delivery in large metropolitan regions such as Mecklenburg County, North Carolina, USA.

OBJECTIVES

We aim to identify important risk factors associated with delayed linkage to care for HIV patients with novel machine learning models and identify high-risk regions of the delay.

METHODS

Deidentified 2013-2017 Mecklenburg County surveillance data in eHARS format were requested. Both univariate analyses and machine learning random forest model (developed in R 3.5.0) were applied to quantify associations between delayed linkage to care (>30 days after diagnosis) and various risk factors for individual HIV patients. We also aggregated linkage to care by zip codes to identify high-risk communities within the county.

RESULTS

Types of HIV-diagnosing facility significantly influenced time to linkage; first diagnosis in hospital was associated with the shortest time to linkage. HIV patients with lower CD4+ cell counts (<200/ml) were twice as likely to link to care within 30 days than those with higher CD4+ cell count. Random forest model achieved high accuracy (>80% without CD4+ cell count data and >95% with CD4+ cell count data) to predict risk of delay in linkage to care. In addition, we also identified top high-risk zip codes of delayed linkage.

CONCLUSION

The findings helped public health teams identify high-risk communities of delayed HIV care continuum across Mecklenburg County. The methodology framework can be applied to other regions with HIV epidemic and challenge of delayed linkage to care.

Evaluation of an Emergency Department and Hospital-Based Data Exchange to Improve HIV Care Engagement and Viral Suppression

BACKGROUND

Emergency department (ED) visits and inpatient (IP) admissions may provide an opportunity to reengage poorly engaged people living with HIV and facilitate viral suppression. In 2015, Public Health Seattle and King County partnered with the University of Washington Medicine to implement a real-time data exchange to identify virally unsuppressed people living with HIV seen at the ED/IP hospital and reengage them in HIV care. We evaluated the impact of the data exchange on care engagement and viral suppression.

METHODS

Public Health Seattle and King County received a text alert on weekdays 8 AM to 6 PM for ED/IP patients previously diagnosed with HIV with a most recent viral load ≥200 copies/mL. We compared viral load testing <3 months and viral suppression <6 months after an alert-eligible visit in the 2 years after intervention and the 7 to 30 months before intervention. To account for secular trends, we used difference-in-differences models to compare patients with alert-window visits to patients with visits outside the alert window before and after intervention.

RESULTS

Patients with visits within the alert window in the postintervention period were 1.08 (95% confidence interval [CI], 0.97-1.20) times more likely to have a viral load test within 3 months after an ED visit/IP admission and 1.50 (95% CI, 1.27-1.76) times more likely to achieve viral suppression within 6 months than patients in the preintervention period. However, care engagement (difference-in-differences relative risk, 1.00; 95% CI, 0.84-1.18) and viral suppression (difference-in-differences relative risk, 1.01; 95% CI, 0.84-1.20) trends were similar among patients with visits outside the alert window.

CONCLUSIONS

Real-time data exchange with ED/IP hospitals was associated with improved viral suppression, but not increased care engagement. However, our results may reflect secular trends resulting from diverse interventions, of which ours was only one. More efforts are needed to improve the effectiveness of relinkage interventions guided by real-time data exchange.

Improving Engagement in HIV Care Using a Data-to-Care and Patient Navigation System in Louisiana, United States

An estimated 57% of persons living with HIV (PLWH) in the United States are not connected to regular medical care or have lapsed from regular care (Centers for Disease Control and Prevention, 2018), increasing risk of HIV progression and transmission and delaying viral suppression. The state of Louisiana has consistently ranked in the top five US states for HIV case rates. We evaluated the impact of a combined data-to-care and patient navigation system that was implemented in 3 cities in Louisiana from 2013 to 2015. The program, LA Links, used a surveillance system to identify PLWH who were not in regular health care and connected them to a patient navigator. During the intervention period, persons who lapsed from care were 17% more likely to reengage in care than persons in the comparison group, and persons newly diagnosed during the intervention period were 56% more likely to link to care.

Examining Retention in HIV Care and HIV Suppression on Housing Services Intake at a Washington, DC Community Based Organization

In Washington, DC, 2% of residents are living with HIV, with 15.3% of them experiencing homelessness. Additionally, over half of DC-area renters are paying over 30% of their income for housing. The primary objective of this study was to describe HIV outcomes at initial intake at Housing Counseling Services (HCS). This retrospective study included adults with HIV completing HCS intake between 2015 and 2018 and linked HCS data with DC Department of Health (DOH) HIV/AIDS, Hepatitis, STD, and TB Administration (HAHSTA) surveillance data. Proportions of individuals with retention in care (RIC) and viral suppression (VS) were compared across client subgroups using chi-square or rank sum tests. The sample of 734 participants was mostly male (67%), Non-Hispanic Black (89%), had MSM as the HIV transmission risk factor (44%) and had rental housing (60%). Most participants (634/734, 86%) were RIC at HCS intake. A majority of participants (477/621 or 77%) had VS at intake. Older age was associated with VS (p = 0.0007). Homeless individuals (with intake from the street) were less likely to be VS (4.8% vs. 11.1%, p < 0.0045). Our results suggest that PWH who have unstable housing or who are homeless may need additional support services for maintaining RIC and VS, as the proportion meeting those benchmarks was not at goal when they sought services at HCS.

Viral Pandemics of the Last Four Decades: Pathophysiology, Health Impacts and Perspectives

The twenty-first century has witnessed some of the deadliest viral pandemics with far-reaching consequences. These include the Human Immunodeficiency Virus (HIV) (1981), Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) (2002), Influenza A virus subtype H1N1 (A/H1N1) (2009), Middle East Respiratory Syndrome Coronavirus (MERS-CoV) (2012) and Ebola virus (2013) and the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) (2019-present). Age- and gender-based characterizations suggest that SARS-CoV-2 resembles SARS-CoV and MERS-CoV with regard tohigher fatality rates in males, and in the older population with comorbidities. The invasion-mechanism of SARS-CoV-2 and SARS-CoV, involves binding of its spike protein with angiotensin-converting enzyme 2 (ACE2) receptors; MERS-CoV utilizes dipeptidyl peptidase 4 (DPP4), whereas H1N1 influenza is equipped with hemagglutinin protein. The viral infections-mediated immunomodulation, and progressive inflammatory state may affect the functions of several other organs. Although no effective commercial vaccine is available for any of the viruses, those against SARS-CoV-2 are being developed at an unprecedented speed. Until now, only Pfizer/BioNTech's vaccine has received temporary authorization from the UK Medicines and Healthcare products Regulatory Agency. Given the frequent emergence of viral pandemics in the 21st century, proper understanding of their characteristics and modes of action are essential to address the immediate and long-term health consequences.

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.

Reassessing the Ethics of Molecular HIV Surveillance in the Era of Cluster Detection and Response: Toward HIV Data Justice

In the United States, clinical HIV data reported to surveillance systems operated by jurisdictional departments of public health are re-used for epidemiology and prevention. In 2018, all jurisdictions began using HIV genetic sequence data from clinical drug resistance tests to identify people living with HIV in "clusters" of others with genetically similar strains. This is called "molecular HIV surveillance" (MHS). In 2019, "cluster detection and response" (CDR) programs that re-use MHS data became the "fourth pillar" of the national HIV strategy. Public health re-uses of HIV data are done without consent and are a source of concern among stakeholders. This article presents three cases that illuminate bioethical challenges associated with re-uses of clinical HIV data for public health. We focus on evidence-base, risk-benefit ratio, determining directionality of HIV transmission, consent, and ethical re-use. The conclusion offers strategies for "HIV data justice." The essay contributes to a "bioethics of the oppressed."

Practical and Ethical Concerns in Implementing Enhanced Surveillance Methods to Improve Continuity of HIV Care: Qualitative Expert Stakeholder Study

BACKGROUND

Retention in HIV care is critical to maintaining viral suppression and preventing further transmission, yet less than 50% of people living with HIV in the United States are engaged in care. All US states have a funding mandate to implement Data-to-Care (D2C) programs, which use surveillance data (eg, laboratory, Medicaid billing) to identify out-of-care HIV-positive persons and relink them to treatment.

OBJECTIVE

The purpose of this qualitative study was to identify and describe practical and ethical considerations that arise in planning for and implementing D2C.

METHODS

Via purposive sampling, we recruited 43 expert stakeholders-including ethicists, privacy experts, researchers, public health personnel, HIV medical providers, legal experts, and community advocates-to participate in audio-recorded semistructured interviews to share their perspectives on D2C. Interview transcripts were analyzed across a priori and inductively derived thematic categories.

RESULTS

Stakeholders reported practical and ethical concerns in seven key domains: permission and consent, government assistance versus overreach, privacy and confidentiality, stigma, HIV exceptionalism, criminalization, and data integrity and sharing.

CONCLUSIONS

Participants expressed a great deal of support for D2C, yet also stressed the role of public trust and transparency in addressing the practical and ethical concerns they identified.

The usefulness of HIV partner services in the age of treatment as prevention: a registry-based study

BACKGROUND

Partner services are effective tools to identify new cases among sex or needle-sharing partners of people with a new HIV diagnosis. Little is known about partners previously diagnosed with HIV who are not in care or are in care with unsuppressed HIV viral load. We aimed to quantify the previously diagnosed partners of people with a new HIV infection and examine their HIV care status and viral suppression in the 12 months before elicitation.

METHODS

We did a registry-based study. We used the New York City HIV Surveillance Registry to determine HIV care status and viral load of partners elicited from newly diagnosed people between Jan 1, 2007, and Dec 31, 2018. Previously diagnosed partners with no report of CD4 count or viral load in the preceding 12 months were presumed not to be in care, viral load suppression (<200 copies per mL) was based on the last viral load in the year preceding elicitation, and viraemia was defined as a viral load of 200 copies per mL or more. We used multinomial logistic regression to generate covariates of care and viral load status and their marginal effects.

FINDINGS

11 964 partners were elicited; 2603 (33%) were previously diagnosed and 485 (20%) were not in care. 1153 (49%) of 2343 with a viral load report were in care and viraemic at elicitation. The odds of being not in care were higher in non-Hispanic black than non-Hispanic white or other partners (adjusted odds ratio 1·89, 95% CI 1·09-3·27) and lower in partners with male-to-male sex transmission risk (0·37, 0·26-0·51) and country of birth other than the USA (0·57, 0·39-0·85). The odds of being viraemic were higher in partners younger than 30 years than in those aged 30 years or older (1·68, 1·35-2·09) and lower among people with male-to-male sex transmission risk (0·36, 0·29-0·44) and country of birth other than the USA (0·78, 0·66-0·97).

INTERPRETATION

People with HIV should receive ongoing HIV prevention counselling and partner services data should inform engagement in care for previously diagnosed partners.

FUNDING

None.

Using HIV Surveillance and Clinic Data to Optimize Data to Care Efforts in Community Health Centers in Massachusetts: The Massachusetts Partnerships for Care Project

BACKGROUND

We describe Data to Care processes of the Massachusetts Partnerships for Care (MA P4C) project and identify factors associated with engagement, retention, and viral suppression outcomes.

METHODS

The Massachusetts Department of Public Health and participating community health centers generated lists of patients not in care based on a temporal gap in laboratory results, missed clinic visits, and provider concern regarding engagement. The Massachusetts Department of Public Health and community health centers reviewed the lists monthly and identified out-of-care patients in need of linkage or re-engagement.

RESULTS

Between October 2015 and June 2017, of 1418 patients potentially out of care, 83 (5.9%) were confirmed to be out of care. Forty-four of those out of care (53%) received services or were re-engaged in care within 90 days, 45 (54%) were retained in care, and 40 (48%) were virally suppressed. The odds of being re-engaged or retained were lower for patients who were 6 months out-of-care (vs. those newly diagnosed). Patients with an AIDS-defining condition had increased odds of retention and viral suppression. The odds of viral suppression were reduced for patients who reported exposure categories other than men who have sex with men and were younger (30-49 years vs. ≥50 years).

CONCLUSIONS

Although rates of re-engagement, retention, and viral suppression were low, the MA P4C Data to Care procedures provided a means for accurate ascertainment of out-of-care status. Future Data to Care programs should investigate the factors that contribute to disengagement from care.

Operationalizing a Data to Care Strategy in Michigan Through Cross-Agency Collaborations

BACKGROUND

For persons with HIV infection (PWH), viral load suppression is essential to maintaining health and reducing the likelihood of HIV transmission. Data to Care (D2C) is an important strategy for improving HIV outcomes but may be resource-intensive to execute.

SETTING

In 2016, Michigan joined the HIV Health Improvement Affinity Group to strengthen D2C partnerships between its Medicaid and HIV program. Goals included establishing routine data sharing, matching data sources to understand health outcomes, and collaborating to turn data into action.

METHODS

Michigan established data use agreements to assess gaps in care for PWH enrolled in Medicaid. The HIV Surveillance Program used Link Plus to match surveillance records on PWH to Medicaid's active beneficiary file to identify PWH who were beneficiaries as of December 31, 2015.

RESULTS

Matching the 2,300,877 Michigan Medicaid beneficiaries with the 15,845 PWH in HIV surveillance yielded 4822 matched PWH enrolled in Medicaid in 2015. Of Medicaid beneficiaries with HIV, 597 had no evidence of receiving HIV care, representing 20% of all Michigan residents with HIV and not in care in 2015.

CONCLUSION

D2C is an effective strategy for improving HIV care continuum outcomes but can be relatively inefficient if implementation models rely solely on public health infrastructure. Through the HIV Health Improvement Affinity Group, Michigan's Medicaid and HIV programs leveraged their combined data assets to evaluate and improve care quality and outcomes for PWH on Medicaid. Partnerships between Medicaid and public health offer attractive mechanisms for potentially increasing efficiency and effectiveness of D2C investments.

Cross-Jurisdictional Data to Care: Lessons Learned in New York State and Florida

BACKGROUND

Data-to-Care (D2C) programming is an important strategy in locating and relinking persons with HIV who are not in care (NIC), back to care. However, Health Department D2C programs have found a large proportion of individuals who seem NIC are living outside of their jurisdiction. Jurisdictions are limited in ability to cross-communicate regarding such individuals.

SETTING

Two D2C programs [New York State (NYS) and Florida (FL)] funded through the Partnerships-for-Care Demonstration Project, partnered to conduct a feasibility pilot project to test cross-jurisdictional D2C reciprocity.

METHODS

Jurisdictions made efforts to set up infrastructure for cross-jurisdictional D2C, and NYS worked to identify persons reported in NYS presumed in need of linkage/relinkage efforts in FL using 3 years of NYS D2C program outcomes.

RESULTS

One hundred forty NYS NIC individuals were presumed to need linkage/relinkage efforts in FL. However, case dispositions for these individuals were not able to be advanced beyond determining HIV care status due to 4 critical challenges: (1) Local legal and regulatory permissibility for sharing identifiable HIV surveillance information outside of a specific jurisdiction varies; (2) Electronic infrastructure in place does not support public health follow-up of individuals who are not within a jurisdiction's HIV surveillance system; (3) An individual's verifiable current residence is not easily attained; and (4) Roles, responsibilities, and case prioritization within each state, and across jurisdictions vary and require clear delineation.

CONCLUSIONS

Although programmatic challenges during this D2C feasibility pilot project were unsurmountable for NYS and FL, potential solutions presented may facilitate broader national cross-jurisdictional D2C reciprocity.

Data to Care Opportunities: An Evaluation of Persons Living With HIV Reported to Be "Current to Care" Without Current HIV-Related Labs

BACKGROUND

Data to care (D2C) is an effective strategy using HIV surveillance data to link/relink persons living with HIV into medical care. However, some appearing to be not in care (NIC) report being in care (persons "current to care").

SETTING

New York State's Expanded Partner Services (ExPS) D2C program has identified many persons reported as "current to care." This evaluation describes these persons after 24 months of follow-up and identifies HIV-related laboratory-based testing patterns and results to determine whether this cohort could benefit from further programmatic intervention.

METHODOLOGY

Data from ExPS assignments from September 2013 to May 2016 were used. Persons "current to care" were compared with persons NIC on demographics, subsequent HIV-related laboratory-based testing, and viral load suppression status. Persons "current to care" receiving subsequent HIV-related laboratory-based testing were compared with those who did not receive HIV-related labs.

RESULTS

Persons "current to care" significantly differed from persons NIC on demographics and subsequent HIV-related laboratory-based testing (82% of persons "current to care" had subsequent HIV-related labs, versus 99% of those NIC who were relinked to care). Persons "current to care" were more likely to be virally suppressed at their subsequent lab than persons NIC who were relinked to care (72% vs. 47%). Minor differences were noted for persons "current to care" receiving subsequent HIV-related labs compared with those who did not.

CONCLUSIONS

Persons "current to care" reflect a unique cohort who might benefit from further programmatic intervention. Although most received additional HIV-related labs, some were without labs for the duration of follow-up.

Data to Care: Lessons Learned From Delivering Technical Assistance to 20 Health Departments

BACKGROUND

Data to Care (D2C) is a public health strategy that uses HIV surveillance and other data to identify persons living with HIV who are "not in care" to link them to medical care or other services. To support health department implementation of D2C, the Centers for Disease Control and Prevention supported direct technical assistance (TA) to build health department D2C capacity.

METHODS

Between 2013 and 2017, 2 contracting organizations worked with the Centers for Disease Control and Prevention to provide intensive D2C TA to 20 US health departments. A requirement for applying for TA was the mandatory reporting of all CD4 T-lymphocyte and HIV viral load test results by laboratories to the health department's HIV surveillance system. Health department selection criteria included organizational factors; jurisdiction laws/policies about data confidentiality and sharing; and HIV morbidity level.

RESULTS

Peer-to-peer consultation, technical consultation, training, information transfer, materials development, materials distribution, and technology transfer were methods used for delivering TA based on the health department's needs and preferences. TA supported health department progress in areas such as confidentiality and data security, stakeholder engagement, quality of HIV surveillance data, data sharing, staffing resources, creating "not-in-care" lists, and program evaluation.

CONCLUSION

Developing D2C programs is not a linear process, and there is no one standardized approach. Health departments made the most rapid progress when TA included peer-to-peer support among health departments. Participation in this project facilitated, in some cases for the first time, collaboration between staff across HIV surveillance, prevention, and care programs.

Comparing Methods for Record Linkage for Public Health Action: Matching Algorithm Validation Study

Background

Many public health departments use record linkage between surveillance data and external data sources to inform public health interventions. However, little guidance is available to inform these activities, and many health departments rely on deterministic algorithms that may miss many true matches. In the context of public health action, these missed matches lead to missed opportunities to deliver interventions and may exacerbate existing health inequities.

Objective

This study aimed to compare the performance of record linkage algorithms commonly used in public health practice.

Methods

We compared five deterministic (exact, Stenger, Ocampo 1, Ocampo 2, and Bosh) and two probabilistic record linkage algorithms (fastLink and beta record linkage [BRL]) using simulations and a real-world scenario. We simulated pairs of datasets with varying numbers of errors per record and the number of matching records between the two datasets (ie, overlap). We matched the datasets using each algorithm and calculated their recall (ie, sensitivity, the proportion of true matches identified by the algorithm) and precision (ie, positive predictive value, the proportion of matches identified by the algorithm that were true matches). We estimated the average computation time by performing a match with each algorithm 20 times while varying the size of the datasets being matched. In a real-world scenario, HIV and sexually transmitted disease surveillance data from King County, Washington, were matched to identify people living with HIV who had a syphilis diagnosis in 2017. We calculated the recall and precision of each algorithm compared with a composite standard based on the agreement in matching decisions across all the algorithms and manual review.

Results

In simulations, BRL and fastLink maintained a high recall at nearly all data quality levels, while being comparable with deterministic algorithms in terms of precision. Deterministic algorithms typically failed to identify matches in scenarios with low data quality. All the deterministic algorithms had a shorter average computation time than the probabilistic algorithms. BRL had the slowest overall computation time (14 min when both datasets contained 2000 records). In the real-world scenario, BRL had the lowest trade-off between recall (309/309, 100.0%) and precision (309/312, 99.0%).

Conclusions

Probabilistic record linkage algorithms maximize the number of true matches identified, reducing gaps in the coverage of interventions and maximizing the reach of public health action.

Scraping the Web for Public Health Gains: Ethical Considerations from a 'Big Data' Research Project on HIV and Incarceration

Web scraping involves using computer programs for automated extraction and organization of data from the Web for the purpose of further data analysis and use. It is frequently used by commercial companies, but also has become a valuable tool in epidemiological research and public health planning. In this paper, we explore ethical issues in a project that "scrapes" public websites of U.S. county jails as part of an effort to develop a comprehensive database (including individual-level jail incarcerations, court records and confidential HIV records) to enhance HIV surveillance and improve continuity of care for incarcerated populations. We argue that the well-known framework of Emanuel et al. (2000) provides only partial ethical guidance for the activities we describe, which lie at a complex intersection of public health research and public health practice. We suggest some ethical considerations from the ethics of public health practice to help fill gaps in this relatively unexplored area.

The Usefulness of Individual-Level HIV Surveillance Data to Initiate Statewide HIV Partner Services: Experiences From Hawaii and New Mexico

CONTEXT

Partner services are a broad array of services that should be offered to persons with human immunodeficiency virus (HIV) and that are based on a process through which HIV-infected persons are interviewed to elicit information about their sex and needle-sharing partners. Human immunodeficiency virus testing of partners can result in a high yield of newly diagnosed HIV positivity, but despite this yield and the benefits of partners knowing their exposures and HIV status, partner services are often not conducted.

OBJECTIVE

We sought to determine the newly diagnosed HIV positivity and benefits to 2 health departments that conducted demonstration projects that focused on statewide HIV partner services.

DESIGN

The main sources of information used for this case study analysis included the health department funding applications, progress reports and final reports submitted to the Centers for Disease Control and Prevention, and records of communications between Centers for Disease Control and Prevention and the health departments. Required quantitative reporting included the number of partners tested and the number of partners with newly diagnosed confirmed HIV infection. Required qualitative reporting included how health departments benefited from their demonstration project activities.

SETTING

Hawaii and New Mexico.

PARTICIPANTS

Sex and needle-sharing partners of persons who were newly diagnosed with HIV infection.

INTERVENTION

The use of HIV surveillance data to initiate statewide HIV partner services.

MAIN OUTCOME MEASURE

Newly diagnosed HIV positivity.

RESULTS

During 2012-2015, the newly diagnosed HIV positivity among partners was 18% (78/427): 16% (17/108) in Hawaii and 19% (61/319) in New Mexico. The health departments benefited from improved collaborations among HIV prevention program and surveillance staff and among the health departments, providers, and AIDS service organizations.

CONCLUSIONS

Hawaii and New Mexico each achieved a high newly diagnosed HIV positivity and benefited from improved local collaborations. As a result of the success of these projects, both health departments have continued the activities since the end of category C funding by securing alternative funding sources.

Predictors of Successful HIV Care Re-engagement Among Persons Poorly Engaged in HIV Care

The Data to Care (D2C) strategy uses HIV surveillance data to identify persons living with HIV (PLWH) who are poorly engaged in care and offers assistance with care re-engagement. We evaluated HIV care re-engagement among PLWH in Seattle & King County, Washington after participation in a D2C program and determined whether variables available at the time of the D2C interview predicted subsequent re-engagement in care. We defined successful re-engagement as surveillance evidence of either continuous care engagement (≥ 2 CD4 counts or HIV RNA results ≥ 60 days apart) or viral suppression (≥ 1 HIV RNA < 200 copies/mL) in the year following the D2C interview. Predictor variables included client characteristics, beliefs about HIV care, and scores on psychosocial assessment scales. Half of participants successfully re-engaged in care. We did not find any significant predictors of re-engagement except viral suppression at the time of the D2C interview. Close follow-up is needed to identify which D2C participants need additional assistance re-engaging in care.

Improving HIV Surveillance Data by Using the ATra Black Box System to Assist Regional Deduplication Activities

BACKGROUND

Focused attention on Data to Care underlines the importance of high-quality HIV surveillance data. This study identified the number of total duplicate and exact duplicate HIV case records in 9 separate Enhanced HIV/AIDS Reporting System (eHARS) databases reported by 8 jurisdictions and compared this approach to traditional Routine Interstate Duplicate Review resolution.

METHODS

This study used the ATra Black Box System and 6 eHARS variables for matching case records across jurisdictions: last name, first name, date of birth, sex assigned at birth (birth sex), social security number, and race/ethnicity, plus 4 system-calculated values (first name Soundex, last name Soundex, partial date of birth, and partial social security number).

RESULTS

In approximately 11 hours, this study matched 290,482 cases from 799,326 uploaded records, including 55,460 exact case pairs. Top case pair overlaps were between NYC and NYS (51%), DC and MD (10%), and FL and NYC (6%), followed closely by FL and NYS (4%), FL and NC (3%), DC and VA (3%), and MD and VA (3%). Jurisdictions estimated that they realized a combined 135 labor hours in time efficiency by using this approach compared with manual methods previously used for interstate duplication resolution.

DISCUSSION

This approach discovered exact matches that were not previously identified. It also decreased time spent resolving duplicated case records across jurisdictions while improving accuracy and completeness of HIV surveillance data in support of public health program policies. Future uses of this approach should consider standardized protocols for postprocessing eHARS data.

Methods to include persons living with HIV not receiving HIV care in the Medical Monitoring Project

The Medical Monitoring Project (MMP) is an HIV surveillance system that provides national estimates of HIV-related behaviors and clinical outcomes. When first implemented, MMP excluded persons living with HIV not receiving HIV care. This analysis will describe new case-surveillance-based methods to identify and recruit persons living with HIV who are out of care and at elevated risk for mortality and ongoing HIV transmission. Stratified random samples of all persons living with HIV were selected from the National HIV Surveillance System in five public health jurisdictions from 2012–2014. Sampled persons were located and contacted through seven different data sources and five methods of contact to collect interviews and medical record abstractions. Data were weighted for non-response and case reporting delay. The modified sampling methodology yielded 1159 interviews (adjusted response rate, 44.5%) and matching medical record abstractions for 1087 (93.8%). Of persons with both interview and medical record data, 264 (24.3%) would not have been included using prior MMP methods. Significant predictors were identified for successful contact (e.g., retention in care, adjusted Odds Ratio [aOR] 5.02; 95% Confidence Interval [CI] 1.98–12.73), interview (e.g. moving out of jurisdiction, aOR 0.24; 95% CI: 0.12–0.46) and case reporting delay (e.g. rural residence, aOR 3.18; 95% CI: 2.09–4.85). Case-surveillance-based sampling resulted in a comparable response rate to existing MMP methods while providing information on an important new population. These methods have since been adopted by the nationally representative MMP surveillance system, offering a model for public health program, research and surveillance endeavors seeking inclusion of all persons living with HIV.

Longitudinal outcomes of HIV- infected persons re-engaged in care using a community-based re-engagement approach

Re-engaging people living with HIV (PLWH) who are out of care (OOC) is of utmost importance to ending the HIV epidemic in the U.S. We used DC Department of Health (DCDOH) HIV surveillance data to determine whether re-engaging PLWH results in improved long-term clinical outcomes. PLWH identified as OOC for 6-12 months at both the clinic-level and using DCDOH data were targeted for re-engagement efforts through Recapture Blitz (RB). Uni- and bivariate analyses were conducted comparing engagement in care (EIC), CD4 counts, and viral suppression (VS) at 6, 12, and 18-months post-re-engagement between persons re-engaged through RB and those not re-engaged via RB. Of the 569 PLWH contacted; 57 were re-engaged through RB, 46 were not but may have reengaged on their own. Compared to those not re-engaged via RB, at 18-months of follow-up, more PLWH re-engaged through RB were EIC (71.9% vs. 56.5%) and VS (52.6% vs. 30.4%). Higher proportions of PLWH re-engaged through RB were virally suppressed at 6, 12, and 18-months (p = 0.0238, p = 0.0347, p = 0.0238, respectively). Combining surveillance and clinical data to identify persons OOC allowed for successful re-engagement and improved longer-term outcomes post-re-engagement, underscoring the importance of re-engagement efforts to improve rates of retention and viral suppression.

Implementing a Data to Care Strategy to Improve Health Outcomes for People With HIV: A Report From the Care and Prevention in the United States Demonstration Project

OBJECTIVES

The Care and Prevention in the United States Demonstration Project included implementation of a Data to Care strategy using surveillance and other data to (1) identify people with HIV infection in need of HIV medical care or other services and (2) facilitate linkages to those services to improve health outcomes. We present the experiences of 4 state health departments: Illinois, Louisiana, Tennessee, and Virginia.

METHODS

The 4 state health departments used multiple databases to generate listings of people with diagnosed HIV infection (PWH) who were presumed not to be in HIV medical care or who had difficulty maintaining viral suppression from October 1, 2013, through September 29, 2016. Each health department prioritized the listings (eg, by length of time not in care, by viral load), reviewed them for accuracy, and then disseminated the listings to staff members to link PWH to HIV care and services.

RESULTS

Of 16 391 PWH presumed not to be in HIV medical care, 9852 (60.1%) were selected for follow-up; of those, 4164 (42.3%) were contacted, and of those, 1479 (35.5%) were confirmed to be not in care. Of 794 (53.7%) PWH who accepted services, 694 (87.4%) were linked to HIV medical care. The Louisiana Department of Health also identified 1559 PWH as not virally suppressed, 764 (49.0%) of whom were eligible for follow-up. Of the 764 PWH who were eligible for follow-up, 434 (56.8%) were contacted, of whom 269 (62.0%) had treatment adherence issues. Of 153 PWH who received treatment adherence services, 104 (68.0%) showed substantial improvement in viral suppression.

CONCLUSIONS

The 4 health departments established procedures for using surveillance and other data to improve linkage to HIV medical care and health outcomes for PWH. To be effective, health departments had to enhance coordination among surveillance, care programs, and providers; develop mechanisms to share data; and address limitations in data systems and data quality.

A Cluster Randomized Evaluation of a Health Department Data to Care Intervention Designed to Increase Engagement in HIV Care and Antiretroviral Use

BACKGROUND

Many US health departments have implemented Data to Care interventions, which use HIV surveillance data to identify persons who are inadequately engaged in HIV medical care and assist them with care reengagement, but the effectiveness of this strategy is uncertain.

METHODS

We conducted a stepped-wedge, cluster-randomized evaluation of a Data to Care intervention in King County, Washington, 2011 to 2014. Persons diagnosed as having HIV for at least 6 months were eligible based on 1 of 2 criteria: (1) viral load (VL) greater than 500 copies/mL and CD4 less than 350 cells/μL at the last report in the past 12 months or (2) no CD4 or VL reported to the health department for at least 12 months. The intervention included medical provider contact, patient contact, and a structured individual interview. Health department staff assisted patients with reengagement using health systems navigation, brief counseling, and referral to support services. We clustered all eligible cases in the county by the last known medical provider and randomized the order of clusters for intervention, creating contemporaneous intervention and control periods (cases in later clusters contributed person-time to the control period at the same time that cases in earlier clusters contributed person-time to the intervention period). We compared the time to viral suppression (VL <200 copies/mL) for individuals during intervention and control periods using a Cox proportional hazards model.

RESULTS

We identified 997 persons (intention to treat [ITT]), 18% of whom had moved or died. Of the remaining 822 (modified ITT), 161 (20%) had an undetectable VL reported before contact and 164 (20%) completed the individual interview. The hazard ratio (HR) for time to viral suppression did not differ between the intervention and control periods in ITT (HR, 1.21 [95% confidence interval, 0.85-1.71]) or modified ITT (HR, 1.18 [95% confidence interval, 0.83-1.68]) analysis.

CONCLUSIONS

The Data to Care intervention did not impact time to viral suppression.

Health department-HIV clinic integration of data and human resources to re-engage out of care HIV-positive persons into clinical care in a New York City locale

We describe an enhanced data to care (eD2C) initiative combining New York City (NYC) Department of Health and Mental Hygiene (DOHMH) HIV surveillance data and a collaborating HIV clinic records to identify and re-engage into care persons living with HIV (PLWH), and presumed to be out of care (OOC). DOHMH identified presumed-OOC persons who lacked recent HIV-related laboratory test reports (e.g., viral load, CD4) in the NYC surveillance registry, and whose last laboratory reports were from the collaborating clinic. The clinic then obtained the current care status of the presumed-OOC persons per their medical record system. The final list of persons deemed to be OOC by DOHMH and clinic were given to a clinic patient navigator and DOHMH disease intervention specialist (DIS) for re-engagement in care efforts. The initiative was a pilot effort aimed at reducing the inefficiencies (e.g., persons current with care, but deemed to be OOC) inherent in routine data to care (rD2C), using surveillance data or clinic medical records alone. Significantly, fewer PLWH, presumed to be OOC in eD2C than DOHMH rD2C were found to be current with care (2% vs. 16%, P = <.001). After adjusting for significant characteristics, time since OOC and years since HIV diagnosis, the odds of re-engaging in HIV care were significantly higher among eD2C (aOR: 2172.31; 95% CI: 1171.23-4044.36) than the rD2C group. We demonstrated the feasibility of leveraging DOHMH and HIV clinic data and human resources to potentially gain efficiencies in efforts to re-engage and retain PLWH in HIV care.

Using HIV Surveillance Laboratory Data to Identify Out-of-Care Patients

HIV-associated laboratory tests reported to public health surveillance have been used as a proxy measure of care engagement of HIV+ individuals. As part of a Health Resources and Services Administration (HRSA) Special Projects of National Significance (SPNS) Initiative, the Massachusetts Department of Public Health (MDPH) worked with three pilot clinical facilities to identify HIV+ patients whose last HIV laboratory test occurred at the participating facility but who then appeared to be out of care, defined as an absence of HIV laboratory test results reported to MDPH for at least 6 months. The clinical facilities then reviewed medical records to determine whether these patients were actually not in care, or if there was another reason that they did not have a laboratory test performed, and provided feedback to MDPH on each of the presumed out-of-care patients. In the first year of the pilot project, 37% of patients who appeared to be out of care based on laboratory data were confirmed to be out of care after review of clinical health records. Of those patients who were confirmed to be out of care, 55% had a subsequent laboratory test within 3 months, and 72% had a laboratory test within 6 months, indicating that they had re-engaged with a care provider. MDPH found that it was essential to have clinical staff confirm the care status of patients who were presumed to be out of care based on surveillance data.

The Facility-Level HIV Treatment Cascade: Using a Population Health Tool in Health Care Facilities to End the Epidemic in New York State

Background

The HIV treatment cascade is a tool for characterizing population-level gaps in HIV care, yet most adaptations of the cascade rely on surveillance data that are ill-suited to drive quality improvement (QI) activities at the facility level. We describe the adaptation of the cascade in health care organizations and report its use by HIV medical providers in New York State (NYS).

Methods

As part of data submissions to the NYS Department of Health, sites that provide HIV medical care in NYS developed cascades using facility-generated data. Required elements included data addressing identification of people living with HIV (PLWH) receiving any service at the facility, linkage to HIV medical care, prescription of antiretroviral therapy (ART), and viral suppression (VS). Sites also submitted a methodology report summarizing how cascade data were collected and an improvement plan identifying care gaps.

Results

Two hundred twenty-two sites submitted cascades documenting the quality of care delivered to HIV patients presenting for HIV- or non-HIV-related services during 2016. Of 101 341 PLWH presenting for any medical care, 75 106 were reported as active in HIV programs, whereas 21 509 had no known care status. Sites reported mean ART prescription and VS rates of 94% and 80%, respectively, and 60 distinct QI interventions.

Conclusions

Submission of facility-level cascades provides data on care utilization among PLWH that cannot be assessed through traditional HIV surveillance efforts. Moreover, the facility-level cascade represents an effective tool for identifying care gaps, focusing data-driven improvement efforts, and engaging frontline health care providers to achieve epidemic control.

Disease Intervention Specialist Education for the Future: An Analysis of Public Health Curricula

OBJECTIVES

The objectives of this study were to (1) determine the degree of alignment between an existing public health curricula and disease intervention specialist (DIS) workforce training needs, (2) assess the appropriateness of public health education for DISs, and (3) identify existing curriculum gaps to inform future DIS training efforts.

METHODS

Using the iterative comparison analysis process of crosswalking, we compared DIS job tasks and knowledge competencies across a standard Council on Education for Public Health (CEPH)-accredited bachelor of science in public health (BSPH) and master of public health (MPH) program core curricula offered by the Georgia Southern University Jiann-Ping Hsu College of Public Health. Four researchers independently coded each DIS task and competency as addressed or not in the curriculum and then discussed all matches and non-matches between coders. Researchers consulted course instructors when necessary, and discussion between researchers continued until agreement was reached on coding.

RESULTS

The BSPH curriculum aligned with 75% of the DIS job tasks and 42% of the DIS knowledge competencies. The MPH core curriculum aligned with 55% of the job tasks and 40% of the DIS knowledge competencies. Seven job tasks and 9 knowledge competencies were considered unique to a DIS and would require on-the-job training.

CONCLUSIONS

Findings suggest that an accredited public health academic program, grounded in CEPH competencies, could address multiple components of DIS educational preparation. Similar analyses should be conducted at other CEPH-accredited schools and programs of public health to account for variations in curriculum.

Incorporation of Social Determinants of Health in the Peer-Reviewed Literature: A Systematic Review of Articles Authored by the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention

OBJECTIVES

Social determinants of health (SDHs) are the complex, structural, and societal factors that are responsible for most health inequities. Since 2003, the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP) has researched how SDHs place communities at risk for communicable diseases and poor adolescent health. We described the frequency and types of SDHs discussed in articles authored by NCHHSTP.

METHODS

We used the MEDLINE/PubMed search engine to systematically review the frequency and type of SDHs that appeared in peer-reviewed publications available in PubMed from January 1, 2009, through December 31, 2014, with a NCHHSTP affiliation. We chose search terms to identify articles with a focus on the following SDH categories: income and employment, housing and homelessness, education and schooling, stigma or discrimination, social or community context, health and health care, and neighborhood or built environment. We classified articles based on the depth of topic coverage as "substantial" (ie, one of ≤3 foci of the article) or "minimal" (ie, one of ≥4 foci of the article).

RESULTS

Of 862 articles authored by NCHHSTP, 366 (42%) addressed the SDH factors of interest. Some articles addressed >1 SDH factor (366 articles appeared 568 times across the 7 categories examined), and we examined them for each category that they addressed. Most articles that addressed SDHs (449/568 articles; 79%) had a minimal SDH focus. SDH categories that were most represented in the literature were health and health care (190/568 articles; 33%) and education and schooling (118/568 articles; 21%).

CONCLUSIONS

This assessment serves as a baseline measurement of inclusion of SDH topics from NCHHSTP authors in the literature and creates a methodology that can be used in future assessments of this topic.

The Evolution of HIV Prevention Programming: Moving From Intervention to System

Accelerating the fight against HIV globally and achieving the goals of the U.S. National HIV/AIDS Strategy will require an integrated health system that addresses all dimensions of wellness and is not limited to disease diagnosis and treatment or to monolithic prevention strategies. Since the HIV/AIDS epidemic was first recognized in 1981, HIV prevention strategies have evolved from early, information-based efforts to theory-informed and evidence-based approaches. More recently, the growing recognition that social and economic factors play a major role in shaping population health outcomes has driven HIV prevention and care programs in the direction of "people-centered health systems," as called for in the 2016 United Nations General Assembly declaration to end AIDS by 2030. This commentary examines recent innovations in HIV program design and implementation (e.g., using data in novel ways to improve HIV health outcomes, providing incentives to promote integrated HIV prevention and care, and developing mechanisms to proactively address the social determinants affecting health) that embrace a comprehensive vision of health that is much broader than the absence of detectable virus.

Using HIV Surveillance Data to Link People to HIV Medical Care, 5 US States, 2012-2015

INTRODUCTION

From 2012 through 2015, the Centers for Disease Control and Prevention (CDC) provided funding to 5 health departments for demonstration projects using HIV surveillance data to link people with newly diagnosed HIV to care. We assessed how well these health departments established linkage to care, how the demonstration projects helped them with this work, and if they sustained these activities after CDC funding ended.

MATERIALS AND METHODS

We obtained quantitative and qualitative data on linkage-to-care activities from health department communications and progress reports submitted to CDC. We calculated and combined linkage-to-care results for the 5 health departments, and we compared these results with the combined linkage-to-care results for 61 health departments that received CDC funding for routine HIV prevention activities (eg, HIV testing, linkage to and reengagement in HIV care, HIV partner services) and for the same 5 health departments when they used only routine HIV prevention activities for linkage to care.

RESULTS

Of 1269 people with a new HIV diagnosis at the 5 health departments, 1124 (89%) were linked to care, a result that exceeded the 2010-2015 National HIV/AIDS Strategy goal (85%), the CDC Funding Opportunity Announcement performance standard (80%), and combined results for the 61 health departments (63%) and the same 5 health departments (66%) using routine HIV prevention activities. Benefits of the projects were improved collaboration and coordination and more accurate, up-to-date surveillance data. All health departments continued linkage-to-care activities after funding ended.

PRACTICE IMPLICATIONS

Using HIV surveillance data to link people with HIV to care resulted in substantial clinical and public health benefits. Our observations underscore the importance of collaboration among medical providers, public health staff members, community-based organizations, and people with HIV to ensure the best possible clinical and public health outcomes.

Where Are They Now? Assessing if Persons Returned to HIV Care Following Loss to Follow-Up by Public Health Case Workers Were Engaged in Care in Follow-Up Years

We examined care engagement and viral suppression (VS) over a 1- to 5-year period among persons re-engaged in HIV care using retrospective cohort study and longitudinal follow-up. The population comprised five cohorts of persons re-engaged in care from 2009 to 2013. We used surveillance data [CD4 T cell count or HIV viral load (VL) RNA] to measure four outcomes 1-5 years post-care engagement. Engagement-in-care indicated persons with laboratory reports in each follow-up year. Continuous engagement or sustained engagement, respectively, included persons with ≥1 or ≥2 (separated by 90 days) CD4 or VL reports in each follow-up year. VS indicated persons living with HIV (PLWH) re-engaged in care with VL ≤200 copies/mL in any follow-up year, and we measured re-engaged PLWH who subsequently became out of care (OOC) in each follow-up year. Overall, 84-86% PLWH were engaged in care in any follow-up year. The proportions of PLWH cohorts continuously engaged in care [86% (1 year), 77% (2 years), 72% (3 years), 67% (4 years), and 63% (5 years)] declined over time. Thirty-four percent of the PLWH who were re-engaged in care were subsequently OOC in the follow-up years. Most re-engaged PLWH became OOC in their first (40%) and second (30%) follow-up years. In follow-up years (1-5 years), fewer PLWH continuously engaged in care with ≥1 CD4 or VL reports in the registry had VS ≤200 copies/mL: 65%, 58%, 49%, 44%, and 42%, respectively. Encouragingly, higher proportions had VL ≤1500 copies/mL in follow-up years (1-5): (75%, 72%, 73%, 75%, and 70%), likely reflecting levels of HIV treatment. Our results support the use of surveillance data to identify and re-engage OOC PLWH in care. However, structures and programs are needed to support retention in care and reduce repeat OOC.

Improving Retention in HIV Care Through New York's Expanded Partner Services Data-to-Care Pilot

Supplemental Digital Content is Available in the Text.

Context:

Data to Care (DTC) represents a public health strategy using HIV surveillance data to link persons living with diagnosed HIV infection (PLWDHI) to HIV-related medical care.

Objective:

To investigate the feasibility of the DTC approach applied to a Partner Services program serving a geographically diffuse area of New York State.

Design:

Disease intervention specialists received training to function as Expanded Partner Services (ExPS) advocates. HIV surveillance data identified PLWDHI presumed to be out of care (OOC). ExPS advocates attempted to locate and reengage OOC individuals in HIV-related care. The pilot ran from September 1, 2013, to August 31, 2014.

Setting:

Four upstate New York counties, home to one-third of all PLWDHI in upstate New York.

Participants:

A total of 1155 PLWDHI presumed to be OOC.

Main Outcome Measures:

Linked to HIV medical care—cases verified as attending 1 or more HIV medical appointments subsequent to case assignment; reengaging in HIV care—any HIV laboratory test in the 6 months following case closure; and retention in HIV care—2 or more HIV laboratory tests in the 6 months following case closure.

Results:

The majority of assigned cases (85.3%) were located; 23.7% (n = 233) of located cases confirmed as OOC; and 71.2% of OOC cases (n = 166) were successfully relinked into care. Relinkage success did not differ by gender, transmission risk, or major race/ethnicity categories; however, there was a direct relationship between age and successful relinkage (P < .001). Ninety-five percent of relinked cases reengaged in medical care, and 63.3% were retained in care. Individuals relinked by ExPS advocates were more likely to reengage in care (95%) than individuals interviewed but not relinked to care by advocates (53.7%) and individuals ineligible for the ExPS intervention (34.2%).

Conclusion:

DTC can be effective when conducted outside large metropolitan areas and/or closed health care systems. It can also be effectively incorporated into existing Partner Services programs; however, the relative priority of DTC work must be established in this context.