Potential Impact of Integrating HIV Surveillance and Clinic Data on Retention-in-Care Estimates and Re-Engagement Efforts

Data to Care Pilot Program in Chicago: Experience, Outcomes, and Direction for the Future

CONTEXT

Data to Care (D2C) involves sharing HIV surveillance data between health care facilities and health departments to improve continuity of care for people living with HIV (PLWH). The Chicago Department of Public Health (CDPH) initiated a D2C pilot program at the University of Chicago Medicine (UCM) from June 2016 to September 2019.

OBJECTIVES

To describe the proportion of patients reported by UCM as not in care who were able to be matched to CDPH enhanced HIV/AIDS Reporting System (eHARS) and to report the individual-level factors associated with matching and viral suppression.

DESIGN

Retrospective program evaluation.

SETTING

UCM, an academic health care center that provides HIV care to adults via a Ryan White clinic on the south side of Chicago.

PARTICIPANTS

Adult PLWH who had received care at UCM but did not have current documented HIV care visit(s).

MAIN OUTCOME MEASURE

Proportion of matched patients; factors associated with matching and viral suppression.

RESULTS

Overall, 72.4% (n = 813/1123) of patients reported by UCM were matched by CDPH to eHARS. Individuals aged 40 to 49 years (odds ratio [OR] = 1.99; 95% confidence interval [CI], 1.10-3.62), 50 to 59 years (OR = 2.47; 95% CI, 1.37-4.47), and 60 years or older (OR = 6.18; 95% CI, 3.18-12.32) were more likely to match in eHARS. People who lived outside of Chicago (OR = 0.09; 95% CI, 0.05-0.15) or with unknown zip codes (OR = 0.08; 95% CI, 0.05-0.12) were less likely to match. Men who have sex with men and persons older than 50 years were more likely to be virally suppressed.

CONCLUSIONS

D2C is an evidence-based strategy for reengagement of PLWH; however, program implementation relies on successful data matching. We found that a large proportion of patients from UCM were not matched, particularly those who were younger or lived outside of Chicago. Additional research is needed to understand ways to improve data matching to facilitate reengagement in HIV care.

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.

Evaluation of Research Accessibility and Data Elements of HIV Registries

BACKGROUND

Patient registries represent a long-term data collection system that is a platform for performing multiple research studies to generate real-world evidence. Many of these registries use common data elements (CDEs) and link data from Electronic Health Records.

OBJECTIVE

This study evaluated HIV registry features that contribute to the registry's usability for retrospective analysis of existing registry data or new prospective interventional studies.

METHODS

We searched PubMed and ClinicalTrials.gov (CTG) to generate a list of HIV registries. We used the framework developed by the European Medical Agency (EMA) to evaluate the registries by determining the presence of key research features. These features included information about the registry, request and collaboration processes, and available data. We acquired data dictionaries and identified CDEs.

RESULTS

We found 13 HIV registries that met our criteria, 11 through PubMed and 2 through CTG. The prevalence of the evaluated features ranged from all 13 (100%) having published key registry information to 0 having a research contract template. We analyzed 6 data dictionaries and identified 14 CDEs that were present in at least 4 of 6 (66.7%) registry data dictionaries.

CONCLUSION

The importance of registries as platforms for research data is growing and the presence of certain features, including data dictionaries, contributes to the reuse and secondary research capabilities of a registry. We found some features such as collaboration policies were in the majority of registries while others such as, ethical support, were in a few and are more for future development.

Expert stakeholders' perspectives on a Data-to-Care strategy for improving care among HIV-positive individuals incarcerated in jails

Data-to-Care (D2C) uses surveillance data (e.g., laboratory, Medicaid billing) to identify out-of-care HIV-positive persons to re-link them to care. Most US states are implementing D2C, yet few studies have explored stakeholders' perspectives on D2C, and none have addressed these perspectives in the context of D2C in jail. This article reports findings from qualitative, semi-structured interviews conducted with expert stakeholders regarding their perspectives on the ethical challenges of utilizing D2C to understand and improve continuity of care among individuals incarcerated in jails. Participants included 47 professionals with expertise in ethics and privacy, public health and HIV care, the criminal justice system, and community advocacy. While participants expressed a great deal of support for extending D2C to jails, they also identified many possible risks. Stakeholders discussed many issues specific to D2C in jails, such as heightened stigma in the jail setting, the need for training of jail staff and additional non-medical community-based resources, and the high priority of this vulnerable population. Many experts suggested that the actual likelihood of benefits and harms would depend on contextual details. Implementation of D2C in jails may require novel strategies to minimize risk of disclosing out-of-care patients' HIV status.

A type II implementation-effectiveness hybrid quasi-experimental pilot study of a clinical intervention to re-engage people living with HIV into care, 'Lost & Found': an implementation science protocol

Background

At the McGill University Health Centre (MUHC), 10% of patients living with HIV do not return for care annually. Currently, no formal system exists to re-engage out-of-care (OOC) patients. Lost & Found, developed using an implementation science approach, is an intervention to re-engage OOC patients. It is based on existing evidence-based interventions and will be adapted for use by nurses at the MUHC. The aims of this study are to simultaneously assess both implementation and effectiveness of Lost & Found in order to determine the viability of a future multisite stepped-wedge cluster randomised trial.

Methods

Lost & Found consists of two core elements: identifying and contacting OOC patients. Based on formative work involving MUHC nurses, and the use of a combined implementation framework (enhanced Replicating Effective Programs, Tailored Implementation for Chronic Diseases, and Proctor et al.’s implementation outcomes), we will adapt the intervention to our clinic. Adaptations include the creation of an OOC risk prediction tool, an automated real-time OOC list, and prioritization of high-risk OOC patients for re-engagement. Delivery and ongoing adaptation of the intervention will follow a three-pronged implementation strategy consisting of (1) promoting adaptability; (2) planning, engaging, executing, evaluating, and reflecting cycles; and (3) internal facilitation. This 15-month quasi-experimental pilot study adopts a type II implementation-effectiveness hybrid design. To evaluate implementation, a convergent parallel mixed-methods approach will guide the mixing of qualitative and quantitative data at time points throughout the study. In addition, descriptive and pre-post analyses, for each of the implementation and sustainability phases, will inform evaluations of the cumulative effectiveness and sustainability of the Lost & Found intervention.

Discussion

This study will provide preliminary evidence for (1) the utility of our chosen implementation strategies and (2) the effectiveness of the intervention. Ultimately, this information may be used to inform future re-engagement efforts using implementation science in other HIV care centres. In addition, the procedures and measurement tools developed for this study will be foundational to the development of a multi-site, randomised stepped wedge study that would provide more robust evidence in support of the Lost & Found intervention.

HIV Data to Care-Using Public Health Data to Improve HIV Care and Prevention

BACKGROUND

"Data to Care" (D2C) is a public health strategy that uses surveillance and other data to improve continuity of HIV care for persons with HIV (PWH) by identifying those who are in need of medical care or other services and facilitating linkage to these services. The primary goal of D2C is to increase the number of PWH who are engaged in care and virally suppressed.

METHODS

Data to Care can be implemented using several approaches. Surveillance-based D2C is usually initiated by health departments, using HIV surveillance and other data to identify those not in care. Health care providers may also initiate D2C by identifying patients who may have fallen out of care and working collaboratively with health departments to investigate, locate, and relink the patients to medical care or other needed services.

RESULTS

Although D2C is a relatively new strategy, health department D2C programs have reported both promising results (eg, improved surveillance data quality and successful linkage to or re-engagement in care for PWH) and challenges (eg, incomplete or inaccurate data in surveillance systems, barriers to data sharing, and limitations of existing data systems).

CONCLUSIONS

Data to Care is expected to enable health departments to move closer toward achieving national HIV prevention goals. However, additional information on appropriate implementation practices at each step of the D2C process is needed. This JAIDS Special Supplement explores how CDC funding to state health departments (eg, technical assistance and demonstration projects), and partnerships across federal agencies, are advancing our knowledge of D2C.

HIV Care Trajectories as a Novel Longitudinal Assessment of Retention in Care

Consistent engagement in care is associated with positive health outcomes among people living with HIV (PLWH). However, traditional retention measures ignore the evolving dynamics of engagement in care. To understand the longitudinal patterns of HIV care, we analyzed medical records from 2008 to 2015 of PLWH ≥ 18 years-old receiving care at a public, hospital-based HIV clinic (N = 2110). Using latent class analysis, we identified five distinct care trajectory classes: (1) consistent care (N = 1281); (2) less frequent care (N = 270); (3) return to care after initial attrition (N = 192); (4) moderate attrition (N = 163); and (5) rapid attrition (N = 204). The majority of PLWH in Class 1 (73.9%) had achieved sustained viral suppression (viral load ≤ 200 copies/mL at last test and > 12 months prior) by study end. Among the other care classes, there was substantial variation in sustained viral suppression (61.1% in Class 2 to 3.4% in Class 5). Care trajectories could be used to prioritize re-engagement efforts.

Denominators Matter: Understanding Medical Encounter Frequency and Its Impact on Surveillance Estimates Using EHR Data

Background:

There is scant guidance for defining what denominator to use when estimating disease prevalence via electronic health record (EHR) data.

Objectives:

Describe the intervals between medical encounters to inform the selection of denominators for population-level disease rates, and evaluate the impact of different denominators on the prevalence of chronic conditions.

Methods:

We analyzed the EHRs of three practices in Massachusetts using the Electronic medical record Support for Public Health (ESP) system. We identified adult patients’ first medical encounter per year (2011–2016) and counted days to next encounter. We estimated the prevalence of asthma, hypertension, obesity, and smoking using different denominators in 2016: ≥1 encounter in the past one year or two years and ≥2 encounters in the past one year or two years.

Results:

In 2011–2016, 1,824,011 patients had 28,181,334 medical encounters. The median interval between encounters was 46, 56, and 66 days, depending on practice. Among patients with one visit in 2014, 82–84 percent had their next encounter within 1 year; 87–91 percent had their next encounter within two years. Increasing the encounter interval from one to two years increased the denominator by 23 percent. The prevalence of asthma, hypertension, and obesity increased with successively stricter denominators – e.g., the prevalence of obesity was 24.1 percent among those with ≥1 encounter in the past two years, 26.3 percent among those with ≥1 encounter in the last one year, and 28.5 percent among those with ≥2 encounters in the past one year.

Conclusions:

Prevalence estimates for chronic conditions can vary by >20 percent depending upon denominator. Understanding such differences will inform which denominator definition is best to be used for the need at hand.

"Closing the Loop" Developing State-Level Data Sharing Interventions to Promote Optimum Outcomes Along the HIV Continuum of Care

This manuscript describes the experiences of three state departments of health (SDoH) that successfully launched data sharing interventions involving surveillance and/or patient data collected in clinics to improve care outcomes among people living with HIV. We examined 58 key informant interviews, gathered at two time points, to describe the development and implementation of data sharing interventions. We identified three common themes across states' experiences: creating standard practices, fostering interoperability, and negotiating the policy environment. Projects were successful when state teams adapted to changing circumstances and were committed to a consistent communication process. Once implemented, the interventions streamlined processes to promote linkage and retention in care among low-income populations living with HIV. Despite using routinely collected data, key informants emphasized the labor-intensive process to develop and sustain the interventions. Lessons learned from these three state experiences can help inform best practices for other SDoH that are considering launching similar interventions.

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.

Gaps Up To 9 Months Between HIV Primary Care Visits Do Not Worsen Viral Load

Current guidelines specify that visit intervals with viral monitoring should not exceed 6 months for HIV patients. Yet, gaps in care exceeding 6 months are common. In an observational cohort using US patients, we examined the association between gap length and changes in viral load status and sought to determine the length of the gap at which significant increases in viral load occur. We identified patients with gaps in care greater than 6 months from 6399 patients from six US HIV clinics. Gap strata were >6 to <7, 7 to <8, 8 to <9, 9 to <12, and ≥12 months, with viral load measurements matched to the opening and closing dates for the gaps. We examined visit gap lengths in association with two viral load measurements: continuous (log10 viral load at gap opening and closing) and dichotomous (whether patients initially suppressed but lost viral suppression by close of the care gap). Viral load increases were nonsignificant or modest when gap length was <9 months, corresponding to 10% or fewer patients who lost viral suppression. For gaps ≥12 months, there was a significant increase in viral load as well as a much larger loss of viral suppression (in 23% of patients). Detrimental effects on viral load after a care gap were greater in young patients, black patients, and those without private health insurance. On average, shorter gaps in care were not detrimental to patient viral load status. HIV primary care visit intervals of 6 to 9 months for select patients may be appropriate.

Incidence, Long-Term Outcomes, and Healthcare Utilization of Patients With Human Immunodeficiency Virus/Acquired Immune Deficiency Syndrome and Disseminated Mycobacterium avium Complex From 1992-2015

Background

Despite the advent of combination antiretroviral therapy (cART), patients with human immunodeficiency virus (HIV) continue to develop late-stage complications including acquired immune deficiency syndrome (AIDS), disseminated Mycobacterium avium complex (DMAC), and death.

Methods

We performed an observational retrospective cohort study of HIV-infected adults who developed DMAC in the Duke University Health System from 1992 to 2015 to determine the incidence, long-term outcomes, and healthcare utilization of this population at high risk for poor outcomes. Findings were stratified by the “pre-cART” era (before January 1, 1996) and “post-cART” thereafter.

Results

We identified 330 adult HIV-infected patients newly diagnosed with DMAC, the majority (75.2%) of whom were male and non-Hispanic black (69.1%), with median age of 37 years. Incidence of DMAC declined significantly from 65.3/1000 in 1992 to 2.0/1000 in 2015, and the proportion of females and non-Hispanic blacks was significantly higher in the post-cART era. The standardized mortality ratios for DMAC patients who received cART were 69, 58, 27, 5.9, and 6.8 at years 1–5, respectively, after DMAC diagnosis. For patients diagnosed with DMAC in 2000 or later (n = 135), 20% were newly diagnosed with HIV in the 3 months preceding presentation with DMAC. Those with established HIV had a median time from HIV diagnosis to DMAC diagnosis of 7 years and were more likely to be black, rehospitalized in the 6 months after DMAC diagnosis, and die in the long term.

Conclusions

Disseminated Mycobacterium avium complex continues to be a lethal diagnosis in the cART era, disproportionately afflicts minority populations, and reflects both delayed entry into care and failure to consistently engage care.

Use of an Outreach Coordinator to Reengage and Retain Patients with HIV in Care

It is well established that retention in high-quality care and regular visits with an HIV/AIDS provider improve outcomes for people living with HIV/AIDS (PLWHA). However, nationally and regionally in South Carolina, retention rates remain low. We piloted an outreach program focused on characterizing out of care (OOC) patients to identify PLWHA who were lost to care and attempt reengagement through phone call, letter, and home visit interventions. Primary outcomes were reengagement, defined as attendance to a clinic appointment, and retention in care, defined by the Health Resources and Services Administration (HRSA) definition (two visits at least 90 days apart in 2015). There were 1242 adult clinic patients in 2014. A total of 233 patients were included in the OOC cohort, according to the inclusion criteria. Of these 233, the outreach coordinator found that a majority of patients, 119 (51%), were lost to care. Reengagement was seen in 52 (44%) patients lost to care, and among those who reengaged, 26 (50%) were retained in care in 2015. This report represents one of few interventions that target reengagement for patients who are lost to care. The use of an outreach coordinator was successful in reengaging and retaining patients in care. It represents an uncomplicated intervention, functional within the current clinic design and available funding structure of the Ryan White grant. Poor engagement and retention in care continue to be significant problems among PLWHA with resultant poor clinical outcomes. Continued focus on new interventions to improve retention in care is necessary to improve clinical outcomes.

What Will It Take to End the HIV/AIDS Epidemic? Linking the Most Disenfranchised Into Care Through Outreach

The 2015 National HIV/AIDS Strategy renewed its goal of increasing access to care for people living with HIV/AIDS (PLWHA) and called for an increased focus on linkage to care efforts. As many PLWHA face multiple barriers to care and live on the margins of society, adoption of intensive outreach activities is necessary to engage the most disenfranchised PLWHA into care and to ultimately end the HIV epidemic. The Bay Area Network for Positive Health (BANPH), comprising 12+ agencies, established a network outreach model for our linkage-to-care project to engage the hardest-to-reach populations in the San Francisco Bay Area. During the years 2010-2013, BANPH agencies conducted street outreach, analyzed internal tracking systems to identify out-of-care individuals and individuals experiencing tenuous care, and surveyed participants using Apple iPod Touch devices. During the 3-year project, BANPH agencies engaged 602 out-of-care PLWHA and linked 440 to care. On average, outreach workers made 10 contact attempts with a client to link them to care. Sixty-three percent of participants were linked to care on an average of 56 days after initial contact. Factors, including lack of case management, lack of transportation, competing concerns, substance abuse, and HIV stigma, were significantly associated with linkage-to-care outcomes. Intensive outreach efforts could help to reduce barriers to care for hard-to-reach PLWHA, but these efforts require a tremendous amount of time and resources. A network outreach model could help facilitate sharing of limited resources and increase regional outreach capacity for linkage-to-care programs.