Examining clinic-based and public health approaches to ascertainment of HIV care status

Interruptions in HIV and Behavioral Health Care for Criminal-Legal Involved People Living with HIV Following Implementation of Decarceration and Shelter in Place in San Francisco, California

Decarceration policies, enacted for SARS-CoV-2 mitigation in carceral settings, potentially exacerbated barriers to care for people living with HIV (PWH) with criminal legal involvement (CLI) during Shelter-in-Place (SIP) by limiting opportunities for engagement in provisions of HIV and behavioral health care. We compared health care engagement for PWH with CLI in San Francisco, California before and after decarceration and SIP using interrupted time series analyses. Administrative data identified PWH booked at the San Francisco County Jail with at least one clinic encounter from 01/01/2018-03/31/2020 within the municipal health care network. Monthly proportions of HIV, substance use, psychiatric and acute care encounters before (05/01/2019-02/29/2020) and after (03/01/2020-12/31/2020) SIP and decarceration were compared using Generalized Estimating Equation (GEE) log-binomial and logistic regression models, clustering on the patient-level. Of 436 patients, mean age was 43 years (standard-deviation 11); 88% cisgender-male; 39% white, 66% homeless; 67% had trimorbidity by Elixhauser score (medical comorbidity, psychotic disorder or depression, and substance use disorder). Clinical encounters immediately dropped following SIP for HIV (aOR = 0.77; 95% CI: 0.67, 0.90) and substance use visits (aRR = 0.83; 95% CI: 0.70, 0.99) and declined in subsequent months. Differential reductions in clinical encounters were seen among Black/African Americans (aRR = 0.93; 95% CI: 0.88, 0.99) and people experiencing homelessness (aRR = 0.92; 95% CI: 0.87, 0.98). Significant reductions in care were observed for PWH with CLI during the COVID-19 pandemic, particularly among Black/African Americans and people experiencing homelessness. Strategies to End the HIV Epidemic must improve engagement across diverse care settings to improve outcomes for this key population.

Impact of Multicomponent Support Strategies on Human Immunodeficiency Virus Virologic Suppression Rates During Coronavirus Disease 2019: An Interrupted Time Series Analysis

BACKGROUND

After coronavirus disease 2019 (COVID-19) shelter-in-place (SIP) orders, viral suppression (VS) rates initially decreased within a safety-net human immunodeficiency virus (HIV) clinic in San Francisco, particularly among people living with HIV (PLWH) who are experiencing homelessness. We sought to determine if proactive outreach to provide social services, scaling up of in-person visits, and expansion of housing programs could reverse this decline.

METHODS

We assessed VS 24 months before and 13 months after SIP using mixed-effects logistic regression followed by interrupted time series (ITS) analysis to examine changes in the rate of VS per month. Loss to follow-up (LTFU) was assessed via active clinic tracing.

RESULTS

Data from 1816 patients were included; the median age was 51 years, 12% were female, and 14% were experiencing unstable housing/homelessness. The adjusted odds of VS increased 1.34 fold following institution of the multicomponent strategies (95% confidence interval [CI], 1.21-1.46). In the ITS analysis, the odds of VS continuously increased 1.05 fold per month over the post-intervention period (95% CI, 1.01-1.08). Among PLWH who previously experienced homelessness and successfully received housing support, the odds of VS were 1.94-fold higher (95% CI, 1.05-3.59). The 1-year LTFU rate was 2.8 per 100 person-years (95% CI, 2.2-3.5).

CONCLUSIONS

The VS rate increased following institution of the multicomponent strategies, with a lower LFTU rate compared with prior years. Maintaining in-person care for underserved patients, with flexible telemedicine options, along with provision of social services and permanent expansion of housing programs, will be needed to support VS among underserved populations during the COVID-19 pandemic.

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.

Internalized HIV Stigma Predicts Suboptimal Retention in Care Among People Living with HIV in the United States

HIV-related stigma is a known barrier to retention in care. However, no large-scale, multi-site studies have prospectively evaluated the effect of internalized stigma on retention in care. The Centers for AIDS Research Network of Integrated Clinical Systems (CNICS) cohort study integrates medical record and survey data from people living with HIV (PLWH) seen in HIV primary care clinics across the United States, and assesses internalized stigma yearly using a validated 4-item Likert scale. We used multivariable logistic regression models to evaluate associations between mean internalized stigma and two prospective retention in care outcomes: keeping the next primary care appointment and keeping all scheduled primary care appointments in the 12 months following stigma assessment. From February 2016 to November 2017, 5968 PLWH completed the stigma assessment and had adequate follow-up time. Mean stigma was 1.9 (standard deviation 1.08). Increased mean stigma scores were associated with decreased odds of attending the next primary care appointment [adjusted odds ratio (aOR) = 0.93, 95% confidence interval (CI) 0.88-0.99, p = 0.02], and all primary care appointments in the subsequent 12 months (aOR = 0.94, 95% CI 0.89-0.99, p = 0.02). In both models, younger age and Black race were also independently associated with suboptimal appointment attendance. There was no support for interactions between internalized stigma and covariates. Internalized HIV stigma had an independent negative effect on the odds of subsequent appointment attendance. This study highlights the importance of identifying even low levels of internalized stigma. Interventions to address internalized HIV stigma are critical to supporting retention in care and improving clinical outcomes.

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.

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.

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.

Loss to follow-up and opportunities for reengagement in HIV care in rural Mozambique: A prospective cohort study

Patients lost to follow-up (LTFU) over the human immunodeficiency virus (HIV) cascade have poor clinical outcomes and contribute to onward HIV transmission. We assessed true care outcomes and factors associated with successful reengagement in patients LTFU in southern Mozambique.Newly diagnosed HIV-positive adults were consecutively recruited in the Manhiça District. Patients LTFU within 12 months after HIV diagnosis were visited at home from June 2015 to July 2016 and interviewed for ascertainment of outcomes and reasons for LTFU. Factors associated with reengagement in care within 90 days after the home visit were analyzed by Cox proportional hazards model.Among 1122 newly HIV-diagnosed adults, 691 (61.6%) were identified as LTFU. Of those, 557 (80.6%) were approached at their homes and 321 (57.6%) found at home. Over 50% had died or migrated, 10% had been misclassified as LTFU, and 252 (78.5%) were interviewed. Following the visit, 79 (31.3%) reengaged in care. Having registered in care and a shorter time between LTFU and visit were associated with reengagement in multivariate analyses: adjusted hazards ratio of 3.54 [95% confidence interval (CI): 1.81-6.92; P < .001] and 0.93 (95% CI: 0.87-1.00; P = .045), respectively. The most frequently reported barriers were the lack of trust in the HIV-diagnosis, the perception of being in good health, and fear of being badly treated by health personnel and differed by type of LTFU.Estimates of LTFU in rural areas of sub-Saharan Africa are likely to be overestimated in the absence of active tracing strategies. Home visits are resource-intensive but useful strategies for reengagement for at least one-third of LTFU patients when applied in the context of differentiated care for those LTFU individuals who had already enrolled in HIV care at some point.

Use of an mHealth Intervention to Improve Engagement in HIV Community-Based Care Among Persons Recently Released from a Correctional Facility in Washington, DC: A Pilot Study

We examined the preliminary effectiveness of a computerized counseling session plus post-incarceration text messaging intervention (CARE + Corrections) to support ART adherence and linkage/engagement in community care among recently incarcerated persons with HIV in Washington, D.C. Recently incarcerated persons with HIV ≥ 18 years old were recruited from the D.C. jail or community outreach and randomized to CARE + Corrections or control arm. Participants completed assessments at baseline, 3-months and 6-months. Multivariable random effects modeling identified predictors of suppressed viral load (≤ 200 copies/mL) and engagement in HIV care at 6 months. Participants (N = 110) were aged 42 (IQR 30-49); 58% male, 24% female, 18% transgender, 85% Black, and lifetime incarceration was a median of 7 years (IQR 2-15). More controls had a regular healthcare provider at baseline. Although not statistically significant, intervention participants had increased odds of viral suppression versus controls at 6 months (AOR 2.04; 95% CI 0.62, 6.70). Those reporting high ART adherence at baseline had higher odds of viral suppression at follow-up (AOR 10.77; 95% CI 1.83, 63.31). HIV care engagement was similar between the two groups, although both groups reported increased engagement at 6 months versus baseline. We observed a positive but non-significant association of viral suppression in the CARE + Corrections group, and care engagement increased in both groups after 6 months. Further attention to increasing viral suppression among CJ-involved persons with HIV upon community reentry is warranted.

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.

"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.

Past Care Predicts Future Care in Out-of-Care People Living with HIV: Results of a Clinic-Based Retention-in-Care Intervention in North Carolina

Poor retention in care is associated with higher viral load (VL) results and decreased rates of viral load suppression (VS) in people living with HIV (PLWH). Therefore, improving retention in HIV care is a priority of national significance. The NC-LINK Retention Project utilized a systematic approach to identify, locate, and attempt to return to care patients who did not attend a clinic appointment for 6-9 months. Clinical and surveillance data were used to evaluate associations between patient characteristics and VL outcomes. Between January 1, 2013 and December 31, 2014, 1118 patients at participating clinics were identified as out-of-care and referred to retention staff. Of these, 712 (64%) were located in North Carolina. Patients with recent prior medical care (aPR 1.43, 95% CI 1.25, 1.66) and recent VS (aPR 1.28, 95% CI 1.16, 1.41) were more likely to be located. Of located patients, 58% re-engaged in care within 90 days of retention referral. Patients who achieved VS within 180 days were more likely to be 40-49 years (aPR 1.19 95% CI 1.01-1.40; compared with 18-29 age group), had insurance at their last visit (aPR 1.19 95% CI 1.01-1.77), had a care visit in the prior year (aPR 1.37 95% CI 1.05-1.77), and had VS at the prior care visit (aPR 2.54 95% CI 1.98-3.25). Clinic-based retention efforts may be effective at helping PLWH decrease out-of-care periods, but prior patterns of care usage persist.

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.

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.

Defining Care Patterns and Outcomes Among Persons Living with HIV in Washington, DC: Linkage of Clinical Cohort and Surveillance Data

Background

Triangulation of data from multiple sources such as clinical cohort and surveillance data can help improve our ability to describe care patterns, service utilization, comorbidities, and ultimately measure and monitor clinical outcomes among persons living with HIV infection.

Objectives

The objective of this study was to determine whether linkage of clinical cohort data and routinely collected HIV surveillance data would enhance the completeness and accuracy of each database and improve the understanding of care patterns and clinical outcomes.

Methods

We linked data from the District of Columbia (DC) Cohort, a large HIV observational clinical cohort, with Washington, DC, Department of Health (DOH) surveillance data between January 2011 and June 2015. We determined percent concordance between select variables in the pre- and postlinked databases using kappa test statistics. We compared retention in care (RIC), viral suppression (VS), sexually transmitted diseases (STDs), and non-HIV comorbid conditions (eg, hypertension) and compared HIV clinic visit patterns determined using the prelinked database (DC Cohort) versus the postlinked database (DC Cohort + DOH) using chi-square testing. Additionally, we compared sociodemographic characteristics, RIC, and VS among participants receiving HIV care at ≥3 sites versus <3 sites using chi-square testing.

Results

Of the 6054 DC Cohort participants, 5521 (91.19%) were included in the postlinked database and enrolled at a single DC Cohort site. The majority of the participants was male, black, and had men who have sex with men (MSM) as their HIV risk factor. In the postlinked database, 619 STD diagnoses previously unknown to the DC Cohort were identified. Additionally, the proportion of participants with RIC was higher compared with the prelinked database (59.83%, 2678/4476 vs 64.95%, 2907/4476; P<.001) and the proportion with VS was lower (87.85%, 2277/2592 vs 85.15%, 2391/2808; P<.001). Almost a quarter of participants (23.06%, 1279/5521) were identified as receiving HIV care at ≥2 sites (postlinked database). The participants using ≥3 care sites were more likely to achieve RIC (80.7%, 234/290 vs 62.61%, 2197/3509) but less likely to achieve VS (72.3%, 154/213 vs 89.51%, 1869/2088). The participants using ≥3 care sites were more likely to have unstable housing (15.1%, 64/424 vs 8.96%, 380/4242), public insurance (86.1%, 365/424 vs 57.57%, 2442/4242), comorbid conditions (eg, hypertension) (37.7%, 160/424 vs 22.98%, 975/4242), and have acquired immunodeficiency syndrome (77.8%, 330/424 vs 61.20%, 2596/4242) (all P<.001).

Conclusions

Linking surveillance and clinical data resulted in the improved completeness of each database and a larger volume of available data to evaluate HIV outcomes, allowing for refinement of HIV care continuum estimates. The postlinked database also highlighted important differences between participants who sought HIV care at multiple clinical sites. Our findings suggest that combined datasets can enhance evaluation of HIV-related outcomes across an entire metropolitan area. Future research will evaluate how to best utilize this information to improve outcomes in addition to monitoring them.

Locating People Diagnosed With HIV for Public Health Action: Utility of HIV Case Surveillance and Other Data Sources

INTRODUCTION

Human immunodeficiency virus (HIV) case surveillance and other health care databases are increasingly being used for public health action, which has the potential to optimize the health outcomes of people living with HIV (PLWH). However, often PLWH cannot be located based on the contact information available in these data sources. We assessed the accuracy of contact information for PLWH in HIV case surveillance and additional data sources and whether time since diagnosis was associated with accurate contact information in HIV case surveillance and successful contact.

MATERIALS AND METHODS

The Case Surveillance-Based Sampling (CSBS) project was a pilot HIV surveillance system that selected a random population-based sample of people diagnosed with HIV from HIV case surveillance registries in 5 state and metropolitan areas. From November 2012 through June 2014, CSBS staff members attempted to locate and interview 1800 sampled people and used 22 data sources to search for contact information.

RESULTS

Among 1063 contacted PLWH, HIV case surveillance data provided accurate telephone number, address, or HIV care facility information for 239 (22%), 412 (39%), and 827 (78%) sampled people, respectively. CSBS staff members used additional data sources, such as support services and commercial people-search databases, to locate and contact PLWH with insufficient contact information in HIV case surveillance. PLWH diagnosed <1 year ago were more likely to have accurate contact information in HIV case surveillance than were PLWH diagnosed ≥1 year ago ( P = .002), and the benefit from using additional data sources was greater for PLWH with more longstanding HIV infection ( P < .001).

PRACTICE IMPLICATIONS

When HIV case surveillance cannot provide accurate contact information, health departments can prioritize searching additional data sources, especially for people with more longstanding HIV infection.

Implementing data-to-care initiatives for HIV in New York state: assessing the value of community health centers identifying persons out of care for health department follow-up

To end the HIV/AIDS epidemic, innovative strategies are needed to improve outcomes along the HIV care continuum. Data-to-Care is a public health strategy whereby HIV surveillance data are used to identify people living with HIV/AIDS for linkage to, or re-engagement in HIV medical care. Three main approaches to Data-to-Care are defined by where persons out of care are identified and where outreach activities are initiated: the Health Department level, the Healthcare Provider level, or a combination of the two (Combination Model). The purpose of this evaluation was to compare successes and challenges for two Data-to-Care models implemented in New York State between 1 January 2015 and 1 September 2016: a Health Department Model, and a Combination Model. The Health Department Model identifies persons presumed to be out of care based on an absence of HIV laboratory tests within the states surveillance system alone, and the Combination Model identifies individuals based on both an absence of a medical provider visit at a partnering health center, and an absence of HIV laboratory tests in the surveillance system. Only counties served by partnering health centers were included in this evaluation. In the Health Department Model, 348 out of 1352 (26%) surveillance identified individuals were truly out of care; of those, re-linkage success was 78%. In the Combination Model, 19 out of 51 (37%) individuals were truly out of care; of those, re-linkage success was 63%. The proportion of cases truly out of care was significantly higher for the Combination Model than the Health Department Model (p-value: 0.08). Both models were successful in re-linking a high proportion of individuals back to care, though the efficiency of identifying individuals who are truly out of care remains an area in need of further refinement for both models.

"Out of Care" HIV Case Investigations: A Collaborative Analysis Across 6 States in the Northwest US

BACKGROUND

HIV care continuum estimates derived from laboratory surveillance typically assume that persons without recently reported CD4 count or viral load results are out of care.

METHODS

We conducted a multistate project (Alaska, Idaho, Montana, Oregon, Washington, and Wyoming) to ascertain the status of HIV cases that appeared to be out of care during a 12-month period. We used laboratory surveillance to identify cases in all states but Idaho, where viral load reporting is not mandatory, requiring us to rely on clinic records. After complete investigation, we assigned each case one of the following dispositions: moved out of state, died, in HIV care, no evidence of HIV care, or data error.

RESULTS

We identified 3866 cases with no CD4 count or viral load result in a ≥12-month period during 2012-2014, most (85%) of which were in Washington or Oregon. A median of 43% (range: 20%-67%) of cases investigated in each state had moved, 9% (0%-16%) had died, and 11% (8%-33%) were in care during the 12-month surveillance period. Only 28% of investigated cases in the region and a median of 30% (10%-57%) of investigated cases in each state had no evidence of care, migration, or death after investigation.

CONCLUSIONS

Most persons living with HIV in the Northwest United States who appear to be out of care based on laboratory surveillance are not truly out of care. Our findings highlight the importance of improving state surveillance systems to ensure accurate care continuum estimates and guide Data to Care efforts.

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

Retention in care is essential to the health of people living with HIV and also for their communities. We sought to quantify the value of integrating HIV surveillance data with clinical records for improving the accuracy of retention-in-care estimates and the efficiency of efforts to re-engage out-of-care patients. Electronic medical records (EMRs) of HIV+ patients ≥18 years old from a public, hospital-based clinic in Minneapolis, MN between 2008 and 2014 were merged with state surveillance data on HIV-related laboratory tests, out-of-state relocation, and mortality. We calculated levels of retention and estimated the number of required case investigations to re-engage patients who appeared to be out of care over the study period with and without surveillance data integration. Retention was measured as the proportion of years in compliance with Health Resources and Services Administration (HRSA) guidelines (two clinical encounters >90 days apart annually) and the proportion of patients experiencing a gap in care >12 months. With data integration, retention estimates improved from an average HRSA compliance of 70.3% using EMR data alone to 77.5% with surveillance data, whereas the proportion of patients experiencing a >12-month gap in care decreased from 45.0% to 34.4%. If case investigations to re-engage patients were initiated after a 12-month gap in care, surveillance data would avoid 330 (29.3%) investigations over the study period. Surveillance data integration improves the accuracy of retention-in-care estimates and would avert a substantial number of unnecessary case investigations for patients who appear to be out of care but, in fact, receive care elsewhere or have died.

Increased antiretroviral therapy prescription and HIV viral suppression among persons receiving clinical care for HIV infection

OBJECTIVE

To assess trends during 2009-2013 in antiretroviral therapy (ART) prescription and viral suppression among adults receiving HIV clinical care in the United States.

DESIGN

We used data from the Medical Monitoring Project, a surveillance system producing national estimates of characteristics of HIV-infected adults receiving clinical care in the United States.

METHODS

We estimated weighted proportions of persons receiving HIV medical care who were prescribed ART and achieved HIV viral suppression (<200 copies/ml) at both last test and at all tests in the previous 12 months during 2009-2013. We assessed trends overall and by gender, age, race/ethnicity, and sexual behavior/orientation.

RESULTS

ART prescription and viral suppression increased significantly during 2009-2013, overall and in subgroups. ART prescription increased from 89 to 94% (P for trend <0.01). Viral suppression at last measurement increased from 72 to 80% (P for trend <0.01). The largest increases were among 18-29 year olds (56-68%), 30-39 year olds (62-75%), and non-Hispanic blacks (64-76%). Sustained viral suppression increased from 58 to 68% (P for trend <0.01). The largest increases were among 18-29 year olds (32-51%), 30-39 year olds (47-63%), and non-Hispanic blacks (49-61%).

CONCLUSION

Adults receiving HIV medical care are increasingly likely to be prescribed ART and achieve viral suppression. Recent efforts to promote early antiretroviral therapy use may have contributed to these increases, bringing us closer to realizing key goals of the National HIV/AIDS Strategy.

Achieving NHAS 90/90/80 Objectives by 2020: An Interactive Tool Modeling Local HIV Prevalence Projections

BACKGROUND

Tools using local HIV data to help jurisdictions estimate future demand for medical and support services are needed. We present an interactive prevalence projection model using data obtainable from jurisdictional HIV surveillance and publically available data.

METHODS

Using viral load data from Georgia's enhanced HIV/AIDS Reporting System, state level death rates for people living with HIV and the general population, and published estimates for HIV transmission rates, we developed a model for projecting future HIV prevalence. Keeping death rates and HIV transmission rates for undiagnosed, in care/viral load >200, in care/viral load<200, and out of care (no viral load for 12 months) constant, we describe results from simulations with varying inputs projecting HIV incidence and prevalence from 2014 to 2024.

RESULTS

In this model, maintaining Georgia's 2014 rates for diagnosis, transitions in care, viral suppression (VS), and mortality by sub-group through 2020, resulted in 85% diagnosed, 59% in care, and 44% VS among diagnosed (85%/58%/44%) with a total of 67 815 PLWH, 33 953 in care, and more than 1000 new cases per year by 2020. Neither doubling the diagnosis rate nor tripling rates of re-engaging out of care PLWH into care alone were adequate to reach 90/90/80 by 2020. We demonstrate a multicomponent scenario that achieved NHAS goals and resulted in 63 989 PLWH, 57 546 in care, and continued annual prevalence increase through 2024.

CONCLUSIONS

Jurisdictions can use this HIV prevalence prediction tool, accessible at https://dph.georgia.gov/hiv-prevalence-projections to assess local capacity to meet future HIV care and social services needs. In this model, achieving 90/90/80 by 2020 in Georgia slowed but did not reverse increases in HIV prevalence, and the number of HIV-infected persons needing care and support services more than doubled. Improving the HIV care infrastructure is imperative.

Antiretroviral Drugs for Treatment and Prevention of HIV Infection in Adults: 2016 Recommendations of the International Antiviral Society-USA Panel

IMPORTANCE

New data and therapeutic options warrant updated recommendations for the use of antiretroviral drugs (ARVs) to treat or to prevent HIV infection in adults.

OBJECTIVE

To provide updated recommendations for the use of antiretroviral therapy in adults (aged ≥18 years) with established HIV infection, including when to start treatment, initial regimens, and changing regimens, along with recommendations for using ARVs for preventing HIV among those at risk, including preexposure and postexposure prophylaxis.

EVIDENCE REVIEW

A panel of experts in HIV research and patient care convened by the International Antiviral Society-USA reviewed data published in peer-reviewed journals, presented by regulatory agencies, or presented as conference abstracts at peer-reviewed scientific conferences since the 2014 report, for new data or evidence that would change previous recommendations or their ratings. Comprehensive literature searches were conducted in the PubMed and EMBASE databases through April 2016. Recommendations were by consensus, and each recommendation was rated by strength and quality of the evidence.

FINDINGS

Newer data support the widely accepted recommendation that antiretroviral therapy should be started in all individuals with HIV infection with detectable viremia regardless of CD4 cell count. Recommended optimal initial regimens for most patients are 2 nucleoside reverse transcriptase inhibitors (NRTIs) plus an integrase strand transfer inhibitor (InSTI). Other effective regimens include nonnucleoside reverse transcriptase inhibitors or boosted protease inhibitors with 2 NRTIs. Recommendations for special populations and in the settings of opportunistic infections and concomitant conditions are provided. Reasons for switching therapy include convenience, tolerability, simplification, anticipation of potential new drug interactions, pregnancy or plans for pregnancy, elimination of food restrictions, virologic failure, or drug toxicities. Laboratory assessments are recommended before treatment, and monitoring during treatment is recommended to assess response, adverse effects, and adherence. Approaches are recommended to improve linkage to and retention in care are provided. Daily tenofovir disoproxil fumarate/emtricitabine is recommended for use as preexposure prophylaxis to prevent HIV infection in persons at high risk. When indicated, postexposure prophylaxis should be started as soon as possible after exposure.

CONCLUSIONS AND RELEVANCE

Antiretroviral agents remain the cornerstone of HIV treatment and prevention. All HIV-infected individuals with detectable plasma virus should receive treatment with recommended initial regimens consisting of an InSTI plus 2 NRTIs. Preexposure prophylaxis should be considered as part of an HIV prevention strategy for at-risk individuals. When used effectively, currently available ARVs can sustain HIV suppression and can prevent new HIV infection. With these treatment regimens, survival rates among HIV-infected adults who are retained in care can approach those of uninfected adults.

Addressing the challenges of the HIV continuum of care in high-prevalence cities in the United States

In summary, addressing the challenges of the HIV care continuum is critical so that the goals of the NHAS can be achieved. CDC is working closely with federal partners, public health departments, and communities throughout the United States on multiple surveillance, programmatic, and research initiatives to inform and improve outcomes along the HIV care continuum. Currently, a large number of research projects are being conducted to describe the care continuum in various populations, assess and model the impact of interventions, and monitor the quality of care. To contribute to this knowledge base, NIH is working with its academic partners to support research that will inform the optimization of HIV treatment and prevention programs. As part of this focus, the CFAR/APC HIV Continuum of Care Working Group was formed to encourage communication between academic investigators and their local DOHs and to support joint research initiatives that are both timely and relevant to their own cities and environments. Finally, the results presented in this supplement may have implications for jurisdictions beyond those in which the studies were conducted.