Using HIV surveillance registry data to re-link persons to care: the RSVP Project in San Francisco

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.

Leveraging mHealth and Patient Supporters for African Americans' and Latinxs' Engagement in HIV Care (LEAN): Protocol for a Randomized, Controlled, Effectiveness-Implementation Trial

BACKGROUND

Despite substantial investments in ending the HIV epidemic, disparities in HIV care persist, and there is an urgent need to evaluate novel and scalable approaches to improving HIV care engagement and viral suppression in real-world settings.

OBJECTIVE

This paper aims to describe a study protocol for a pragmatic type II hybrid effectiveness-implementation randomized controlled trial comparing existing standard of care clinic HIV linkage, adherence, and retention (LAR) protocols to a mobile health (mHealth)-enhanced linkage, adherence, and retention (mLAR) intervention.

METHODS

The study will enroll 450 participants from clinics in Baltimore City. Eligibility criteria include being ≥18 years of age, having a new HIV diagnosis or being HIV-positive and out of care, or being HIV-positive and deemed by clinic staff as someone who could benefit from linkage and retention services. Participants randomized to the intervention receive mHealth-supported patient navigation for 12 months. Participants in the control group receive the referring clinic's standard of care patient support. The primary outcome is HIV virologic suppression at 12 months. A subset of participants will be interviewed at 12 months to learn about their HIV care experiences and, for those in the intervention arm, their experiences with the mLAR intervention. This protocol was developed in collaboration with the Baltimore City Health Department (BCHD) and the Maryland Department of Health (MDH) and with input from a community advisory board.

RESULTS

Enrollment began on February 25, 2020. As of August 11, 2022, 411 of the 450 target participants had been enrolled.

CONCLUSIONS

Pragmatic implementation science trials designed with input from key stakeholders, including health departments and community members, can help evaluate the evidence for mHealth interventions to reduce HIV health disparities.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03934437; https://clinicaltrials.gov/ct2/show/NCT03934437.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/42691.

Expanding Data to Care Programs to Improve HIV Care Continuum Among Men Who Have Sex With Men and Transgender Persons: Key Processes and Outcomes From Project PrIDE, 2015-2019

OBJECTIVES

During 2015-2019, five local and state health department jurisdictions implemented Data to Care (D2C) programs supported by Project PrIDE (Pre-exposure prophylaxis, Implementation, Data to Care, and Evaluation) to improve linkage or reengagement in HIV medical care among persons with HIV (PWH) who had gaps in care, particularly among men who have sex with men (MSM) and transgender persons. We describe findings from the cross-jurisdiction evaluation of the project.

METHODS

We conducted a qualitative analysis of the final progress reports submitted by PrIDE jurisdictions to the Centers for Disease Control and Prevention to identify key D2C activities implemented and challenges encountered. We also conducted descriptive analysis on aggregate quantitative data to summarize key D2C program outcomes.

RESULTS

PrIDE jurisdictions implemented multiple activities to build their D2C capacity, identify PWH who were not in care or virally suppressed, provide linkage/reengagement services, and monitor outcomes. Overall, 11 463 PWH were selected for follow-up, 45% of whom were MSM or transgender persons. Investigations were completed for 8935 (77.9%) PWH. Only 2323 (26.0%) PWH were confirmed not in care or virally suppressed; 1194 (51.4%) were subsequently linked/reengaged in care; among those, 679 (56.9%) were virally suppressed at last test. PrIDE jurisdictions identified data-related (eg, incomplete or delayed laboratory results), program capacity (eg, insufficient staff), and social and structural (eg, unstable housing) challenges that affected their D2C implementation.

CONCLUSIONS

PrIDE jurisdictions successfully enhanced their D2C capacity, reached priority populations who were not in care or virally suppressed, and improved their engagement in care and health outcomes. Data-related and non-data-related challenges limited the efficiency of D2C programs. Findings can help inform other D2C programs and contribute to national HIV prevention goals.

Costs and cost-effectiveness of a collaborative data-to-care intervention for HIV treatment and care in the United States

INTRODUCTION

Data-to-care programmes utilize surveillance data to identify persons who are out of HIV care, re-engage them in care and improve HIV care outcomes. We assess the costs and cost-effectiveness of re-engagement in an HIV care intervention in the United States.

METHODS

The Cooperative Re-engagement Control Trial (CoRECT) employed a data-to-care collaborative model between health departments and HIV care providers, August 2016-July 2018. The health departments in Connecticut (CT), Massachusetts (MA) and Philadelphia (PHL) collaborated with HIV clinics to identify newly out-of-care patients and randomize them to receive usual linkage and engagement in care services (standard-of-care control arm) or health department-initiated active re-engagement services (intervention arm). We used a microcosting approach to identify the activities and resources involved in the CoRECT intervention, separate from the standard-of-care, and quantified the costs. The cost data were collected at the start-up and recurrent phases of the trial to incorporate potential variation in the intervention costs. The costs were estimated from the healthcare provider perspective.

RESULTS

The CoRECT trial in CT, MA and PHL randomly assigned on average 327, 316 and 305 participants per year either to the intervention arm (n = 166, 159 and 155) or the standard-of-care arm (n = 161, 157 and 150), respectively. Of those randomized, the number of participants re-engaged in care within 90 days in the intervention and standard-of-care arms was 85 and 70 in CT, 84 and 70 in MA, and 98 and 67 in PHL. The additional number of participants re-engaged in care in the intervention arm compared with those in the standard-of-care arm was 15 (CT), 14 (MA) and 31 (PHL). We estimated the annual total cost of the CoRECT intervention at $490,040 in CT, $473,297 in MA and $439,237 in PHL. The average cost per participant enrolled was $2952, $2977 and $2834 and the average cost per participant re-engaged in care was $5765, $5634 and $4482. We estimated an incremental cost per participant re-engaged in care at $32,669 (CT), $33,807 (MA) and $14,169 (PHL).

CONCLUSIONS

The costs of the CoRECT intervention that identified newly out-of-care patients and re-engaged them in HIV care are comparable with other similar interventions, suggesting a potential for its cost-effectiveness in the US context.

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.

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.

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.

Jail-Based Data-to-Care to Improve Continuity of HIV Care: Perspectives and Experiences from Previously Incarcerated Individuals

Incarceration can disrupt retention in HIV care and viral suppression, yet it can also present an opportunity to reengage people living with HIV (PLWH) in care. Data-to-care (D2C) is a promising new public health strategy that uses HIV surveillance data to improve continuity of care for PLWH. The goal of this study was to examine perspectives on and experiences with D2C among PLWH who had recently been incarcerated in jail. Semistructured, qualitative interviews were conducted with 24 PLWH in community and prison settings about (1) knowledge of and experiences with D2C and (2) attitudes about implementing D2C in the jail setting. Participants who had been contacted for D2C described their interactions with state public health workers favorably, although almost half were not aware that the state performs HIV surveillance and D2C. While most participants indicated they would welcome assistance from the state for reengaging in care, they also framed retention in care as an individual responsibility. Most participants supported the idea of jail-based D2C. A vocal minority expressed adamant opposition, citing concerns about the violation of privacy and the threat of violence in the jail setting. Findings from this study suggest that D2C interventions in jails could be beneficial to reengaging PLWH in care, and acceptable to PLWH if done in a way that is sensitive to the needs and concerns of incarcerated individuals. If implemented, jail-based D2C programs must be designed with care to preserve privacy, confidentiality, and the autonomy of incarcerated individuals.

Strategies to reengage patients lost to follow up in HIV care in high income countries, a scoping review

Background

Despite remarkable achievements in antiretroviral therapy (ART), losses to follow-up (LTFU) might prevent the long-term success of HIV treatment and might delay the achievement of the 90–90-90 objectives. This scoping review is aimed at the description and analysis of the strategies used in high-income countries to reengage LTFU in HIV care, their implementation and impact.

Methods

A scoping review was done following Arksey & O′Malley’s methodological framework and recommendations from Joanna Briggs Institute. Peer reviewed articles were searched for in Pubmed, Scopus and Web of Science; and grey literature was searched for in Google and other sources of information. Documents were charted according to the information presented on LTFU, the reengagement procedures used in HIV units in high-income countries, published during the last 15 years. In addition, bibliographies of chosen articles were reviewed for additional articles.

Results

Twenty-eight documents were finally included, over 80% of them published in the United States later than 2015. Database searches, phone calls and/or mail contacts were the most common strategies used to locate and track LTFU, while motivational interviews and strengths-based techniques were used most often during reengagement visits. Outcomes like tracing activities efficacy, rates of reengagement and viral load reduction were reported as outcome measures.

Conclusions

This review shows a recent and growing trend in developing and implementing patient reengagement strategies in HIV care. However, most of these strategies have been implemented in the United States and little information is available for other high-income countries. The procedures used to trace and contact LTFU are similar across reviewed studies, but their impact and sustainability are widely different depending on the country studied.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11613-y.

Inadequate Engagement in HIV Care Among People With HIV Newly Diagnosed With a Sexually Transmitted Disease: A Multijurisdictional Analysis

BACKGROUND

A key challenge of HIV surveillance-based HIV care reengagement is locating people living with HIV (PLWH) who seem to be out of care to reengage them in care. Providing reengagement services to PLWH diagnosed with a sexually transmitted disease (STD)-individuals who are in jurisdiction and connected to the health care system-could be an efficient means of promoting HIV treatment and reducing HIV transmission.

METHODS

Early and late syphilis (ES/LS) and gonorrhea (GC) cases diagnosed in 2016 and 2017 in Louisiana, Michigan, Mississippi, Oregon, Rhode Island, and Texas were matched to each state's HIV surveillance data to determine the proportion of PLWH with these infections who (1) did not have evidence of a CD4 count or viral load in the prior ≥13 months (out of care) or (2) had a viral load ≥1500 copies/mL on their most recent HIV RNA test before STD diagnosis (viremic).

RESULTS

Previously diagnosed HIV infection was common among persons diagnosed with ES (n = 6942; 39%), LS (n = 4329; 27%), and GC (n = 9509; 6%). Among these ES, LS, and GC cases, 26% (n = 1543), 33% (n = 1113), and 29% (n = 2391) were out of HIV medical care or viremic at the time of STD diagnosis.

CONCLUSIONS

A large proportion of STD cases with prior HIV diagnosis are out of care or viremic. Integrating relinkage to care activities into STD partner services and/or the use of matching STD and HIV data systems to prioritize data to care activities could be an efficient means for relinking patients to care and promoting viral suppression.

"It's time!": A qualitative exploration of the acceptability of hepatitis C notification systems to help eliminate hepatitis C

BACKGROUND

In Australia, the unrestricted and subsidised availability of direct-acting antivirals for people living with hepatitis C has made the elimination of hepatitis C possible. Recent declining treatment uptake, however, may jeopardise the attainment of this goal. Notification data already exist in many jurisdictions but are presently under-utilised. Despite growing interest in the potential use of data to link people diagnosed with hepatitis C to treatment services, little evidence exists on the acceptability and feasibility of this approach. Our study aimed to address this gap and guide future strategies to enhance treatment uptake.

METHODS

Twenty-seven people with lived experience of injecting drug use and/or hepatitis C participated in two focus groups exploring views on implementing a system of hepatitis C notification follow-up in Australia, that would direct people to treatment and care. Additionally, qualitative interviews were conducted with 20 key informants to examine the ethical, logistical, and regulatory implications of implementation. Data were thematically analysed using the Theoretical Framework of Acceptability - which has been used to assess the acceptability of interventions from the perspectives of intervention deliverers and recipients.

RESULTS

While there were clear reservations, there was consensus that the potential benefits of using notification data to contact people with hepatitis C, outweigh harms. The method of contact (including by whom and how), whether follow-up should include recent versus historical diagnoses, and if record linkage should be used to enhance follow-up were important considerations. Ethical and logistical concerns were raised about the risk that such an approach could exacerbate stigma and discrimination.

CONCLUSION

Findings highlight potentially significant benefits of using notifications data to increase access to hepatitis C treatment, a novel approach that can contribute to hepatitis C elimination efforts and prevent hepatitis C-related morbidity and mortality.

Outcomes and costs of publicly funded patient navigation interventions to enhance HIV care continuum outcomes in the United States: A before-and-after study

BACKGROUND

In the United States, patients with HIV face significant barriers to linkage to and retention in care which impede the necessary steps toward achieving the desired clinical outcome of viral suppression. Individual-level interventions, such as patient navigation, are evidence based, effective strategies for improving care engagement. In addition, use of surveillance and clinical data to identify patients who are not fully engaged in care may improve the effectiveness and cost-effectiveness of these programs.

METHODS AND FINDINGS

We employed a pre-post design to estimate the outcomes and costs, from the program perspective, of 5 state-level demonstration programs funded under the Health Resources and Services Administration's Special Projects of National Significance Program (HRSA/SPNS) Systems Linkages Initiative that employed existing surveillance and/or clinical data to identify individuals who had never entered HIV care, had fallen out of care, or were at risk of falling out of care and navigation strategies to engage patients in HIV care. Outcomes and costs were measured relative to standard of care during the first year of implementation of the interventions (2013 to 2014). We followed patients to estimate the number and proportion of additional patients linked, reengaged, retained, and virally suppressed by 12 months after enrollment in the interventions. We employed inverse probability weighting to adjust for differences in patient characteristics across programs, missing data, and loss to follow-up. We estimated the additional costs expended during the first year of each intervention and the cost per outcome of each intervention as the additional cost per HIV additional care continuum target achieved (cost per patient linked, reengaged, retained, and virally suppressed) 12 months after enrollment in each intervention. In this study, 3,443 patients were enrolled in Louisiana (LA), Massachusetts (MA), North Carolina (NC), Virginia (VA), and Wisconsin (WI) (147, 151, 2,491, 321, and 333, respectively). Patients were a mean of 40 years old, 75% male, and African American (69%) or Caucasian (22%). At baseline, 24% were newly diagnosed, 2% had never been in HIV care, 45% had fallen out of care, and 29% were at risk of falling out of care. All 5 interventions were associated with increases in the number and proportion of patients with viral suppression [percent increase: LA = 90.9%, 95% confidence interval (CI) = 88.4 to 93.4; MA = 78.1%, 95% CI = 72.4 to 83.8; NC = 47.5%, 95% CI = 45.2 to 49.8; VA = 54.6, 95% CI = 49.4 to 59.9; WI = 58.4, 95% CI = 53.4 to 63.4]. Overall, interventions cost an additional $4,415 (range = $3,746 to $5,619), $2,009 (range = $1,516 to $2,274), $920 (range = $627 to $941), $2,212 (range = $1,789 to $2,683), and $3,700 ($2,734 to $4,101), respectively per additional patient virally suppressed. The results of this study are limited in that we did not have contemporaneous controls for each intervention; thus, we are only able to assess patients against themselves at baseline and not against standard of care during the same time period.

CONCLUSIONS

Patient navigation programs were associated with improvements in engagement of patients in HIV care and viral suppression. Cost per outcome was minimized in states that utilized surveillance data to identify individuals who were out of care and/or those that were able to identify a larger number of patients in need of improvement at baseline. These results have the potential to inform the targeting and design of future navigation-type interventions.

Estimates of the Time From Seroconversion to Antiretroviral Therapy Initiation Among People Newly Diagnosed With Human Immunodeficiency Virus From 2006 to 2015, New York City

BACKGROUND

We estimated the time from human immunodeficiency virus (HIV) seroconversion to antiretroviral therapy (ART) initiation during an era of expanding HIV testing and treatment efforts.

METHODS

Applying CD4 depletion parameters from seroconverter cohort data to our population-based sample, we related the square root of the first pretreatment CD4 count to time of seroconversion through a linear mixed model and estimated the time from seroconversion.

RESULTS

Among 28 162 people diagnosed with HIV during 2006-2015, 89% initiated ART by June 2017. The median CD4 count at diagnosis increased from 326 (interquartile range [IQR], 132-504) cells/µL to 390 (IQR, 216-571) cells/µL from 2006 to 2015. The median time from estimated seroconversion to ART initiation decreased by 42% from 6.4 (IQR, 3.3-11.4) years in 2006 to 3.7 (IQR, 0.5-8.3) years in 2015. The time from estimated seroconversion to diagnosis decreased by 28%, from a median of 4.6 (IQR, 0.5-10.5) years to 3.3 (IQR, 0-8.1) years from 2006 to 2015, and the time from diagnosis to ART initiation reduced by 60%, from a median of 0.5 (IQR, 0.2-2.1) years to 0.2 (IQR, 0.1-0.3) years from 2006 to 2015.

CONCLUSIONS

The estimated time from seroconversion to ART initiation was reduced in tandem with expanded HIV testing and treatment efforts. While the time from diagnosis to ART initiation decreased to 0.2 years, the time from seroconversion to diagnosis was 3.3 years among people diagnosed in 2015, highlighting the need for more effective strategies for earlier HIV diagnosis.

"Is a Bird in the Hand Worth 5 in the Bush?": A Comparison of 3 Data-to-Care Referral Strategies on HIV Care Continuum Outcomes in San Francisco

Background

Health departments utilize HIV surveillance data to identify people with HIV (PWH) who need re-linkage to HIV care as part of an approach known as Data to Care (D2C.) The most accurate, effective, and efficient method of identifying PWH for re-linkage is unknown.

Methods

We evaluated referral and care continuum outcomes among PWH identified using 3 D2C referral strategies: health care providers, surveillance, and a combination list derived by matching an electronic medical record registry to HIV surveillance. PWH who were enrolled in the re-linkage intervention received short-term case management for up to 90 days. Relative risks and 95% confidence intervals were calculated to compare proportions of PWH retained and virally suppressed before and after re-linkage. Durable viral suppression was defined as having suppressed viral loads at all viral load measurements in the 12 months after re-linkage.

Results

After initial investigation, 233 (24%) of 954 referrals were located and enrolled in navigation. Although the numbers of surveillance and provider referrals were similar, 72% of enrolled PWH were identified by providers, 16% by surveillance, and 12% by combination list. Overall, retention and viral suppression improved, although relative increases in retention and viral suppression were only significant among individuals identified by surveillance or providers. Seventy percent of PWH who achieved viral suppression after the intervention remained durably virally suppressed.

Conclusions

PWH referred by providers were more likely to be located and enrolled in navigation than PWH identified by surveillance or combination lists. Overall, D2C re-linkage efforts improved retention, viral suppression, and durable viral suppression.

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.

Falling Through the Cracks: Risk Factors for Becoming Lost to HIV Care After Incarceration in a Southern Jail

Using a retrospective cohort analysis of inmates released from Dallas County Jail between January 2011 and November 2013, this study characterizes people living with HIV/AIDS (PLWHA) who are lost to care after release from jail. We used Kaplan-Meier analysis to estimate the risk of becoming lost to post-release HIV care and a Cox proportional hazards regression model to identify associated factors. The majority of individuals (78.2%) were men and 65.5% were black. Of the incarcerations that ended with release to the community, approximately 43% failed to link to community HIV care. Non-Hispanic Whites were more likely than Hispanics or Blacks to drop out of care after release. Individuals with histories of substance use or severe mental illness were more likely to become lost, while those under HIV care prior to incarceration and/or who had adhered to antiretroviral therapy (ART) were more likely to resume care upon release. Targeted efforts such as rapid linkage to care and re-entry residence programs could encourage formerly incarcerated individuals to re-engage in care.

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.

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.

Implementing Data to Care-What Are the Costs for the Health Department?

BACKGROUND

The Cooperative Re-Engagement Controlled Trial (CoRECT) is a randomized controlled trial that uses a combined health department-provider data to care (D2C) model to identify out-of-care HIV-infected persons. We present cost data for programmatic aspects of the trial during the start-up period (first 30 days of the study).

METHODS

We used microcosting methods to estimate health department start-up costs. We collected start-up cost data between September 2016 and December 2016; 3 health departments completed a form to capture expenses for the initial 30 days of study implementation; the start date varied by health department. All costs are expressed in 2016 US dollars.

RESULTS

Among the 3 health departments, the total start-up costs ranged from $14,145 to $26,058. Total start-up labor hours ranged from 224 to 640 hours.

CONCLUSIONS

As D2C expands nationally with cooperative agreement, PS 18-1802 health departments may be able to use a similar analysis to consider the labor, time, and resources needed to implement D2C within their jurisdiction.

Informing Data to Care: Contacting Persons Sampled for the Medical Monitoring Project

BACKGROUND

Data to care (D2C) is a public health strategy that uses HIV surveillance and other data to identify persons in need of HIV medical care. The Medical Monitoring Project (MMP), which uses similar methods to contact and recruit HIV-positive persons, may inform predictors of successful contact for D2C programs.

SETTING

MMP is a Centers for Disease Control and Prevention-funded surveillance system that collects nationally representative data on adults with diagnosed HIV in the United States and Puerto Rico.

METHODS

Using MMP's 2016 data collection cycle, we present contact rates (ie, proportion of HIV-positive persons successfully contacted for MMP) by the age of contact information and age of laboratory test results available from HIV surveillance data.

RESULTS

Nationally, 27.6% of eligible persons did not have a recorded laboratory test performed within the past year (project area range: 10.8%-54.6%). The national contact rate among persons with laboratory tests older than 1 year was 37.0% (project area range: 16.5%-67.1%). Higher contact rates were found among persons with more recent laboratory tests. Similar results were found by the age of contact information. Nationally, the most common reason for MMP ineligibility was that the person was deceased; the most common reason for not being contacted was lack of correct contact information.

CONCLUSIONS

MMP findings suggest that D2C programs would benefit from efforts to improve the quality of HIV surveillance data and local surveillance practices-in particular, death ascertainment, the completeness of laboratory reporting, and the routine updating of contact information. Strengthening collaboration and integration with existing MMP programs may be beneficial.

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.

Timeliness of Human Immunodeficiency Virus Diagnosis and Antiretroviral Treatment Initiation in the Era of Universal Testing and Treatment

BACKGROUND

We describe the timing of human immunodeficiency virus (HIV) diagnosis and antiretroviral treatment (ART) initiation after implementation of universal testing and treatment policies in New York City (NYC).

METHODS

Using NYC population-based HIV registry data for persons with HIV diagnosed from 2012 through 2015 and followed up through June 2017, we examined trends in the proportion with diagnosis soon after HIV infection (ie, with CD4 cell count ≥500/μL or with acute HIV infection) and used Kaplan-Meier plots and proportional hazards regression to examine the timing of ART initiation after diagnosis.

RESULTS

Among 9987 NYC residents with HIV diagnosed from 2012 to 2015, diagnosis was early in 35%, and 87% started ART by June 2017. The annual proportion of persons with early diagnosis did not increase appreciably (35% in 2012 vs 37% in 2015; P = .08). By 6 months after diagnosis, 62%, 67%, 72% and 77% of persons with HIV diagnosed in 2012, 2013, 2014, or 2015, respectively, had started ART, with median (interquartile range) times to ART initiation of 3.34 (1.34-12.75), 2.62 (1.28-10.13), 2.16 (1.15-7.11), and 2.03 (1.11-5.61) months, respectively.

CONCLUSIONS

Although recommendations for ART initiation on diagnosis are increasingly being implemented, the findings of the current study suggest that immediate treatment initiation is not universal. Continued efforts are needed to expand and better target HIV testing to promote earlier diagnosis.

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.

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.

Missed opportunities to prevent HIV infections among pre-exposure prophylaxis users: a population-based mixed methods study, San Francisco, United States

INTRODUCTION

Pre-exposure prophylaxis (PrEP) is highly effective, although PrEP adherence and persistence has been variable during real world implementation. Little is known about missed opportunities to enhance PrEP adherence among individuals who later HIV seroconverted after using PrEP. The goal of this analysis was to identify all HIV infections among individuals who had accessed PrEP in an integrated health system in San Francisco, and to identify potentially intervenable factors that could have prevented HIV infection through in-depth interviews with people who HIV seroconverted after using PrEP.

METHODS

We identified individuals who initiated PrEP in an integrated safety-net public health system and performed in-depth chart review to determine person-time on and after stopping PrEP over six years. We identified all PrEP seroconversions using the Centers for Disease Control and Prevention's Enhanced HIV/AIDS Reporting System and then calculated HIV incidence while using PrEP and during gaps in use. We then performed in-depth interviews with those who seroconverted.

RESULTS

Overall, 986 initiated PrEP across the San Francisco Department of Public Health from July 2012 to November 2018. Data were gathered from 895 person-years on PrEP and 953 after stopping PrEP. The HIV incidence was 7.5-fold higher after stopping PrEP compared to while on PrEP (95% CI 1 to 336). Of the eight individuals who HIV seroconverted; only one was taking PrEP at the time of seroconversion but was using on-demand PrEP inconsistently. All eight agreed to qualitative interviews. Major barriers to PrEP persistence included substance use, mental health and housing loss; difficulty accessing PrEP due to cost, insurance, and the cost and time of medical visits; difficulty weighing PrEP's benefit versus self-perceived risk; and entering a primary partnership. The individual who developed HIV using on-demand PrEP reported confusion about the dosing regimen and which sexual encounters required accompanying PrEP dosing.

CONCLUSIONS

HIV incidence during gaps in PrEP use was nearly eight-fold higher than while on PrEP in this large cohort in San Francisco. Many individuals who stop PrEP remain at risk of HIV, and participants reported that proactive outreach could potentially have prevented HIV infections. Individuals using non-daily PrEP may require additional education and support in the United States.

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.

Impact of an HIV Care Coordination Program on Durable Viral Suppression

BACKGROUND

To assess long-term effectiveness of an intensive and comprehensive Ryan White Part A-funded HIV Care Coordination Program recruiting people living with HIV with a history of suboptimal HIV care outcomes.

METHODS

We merged programmatic data on CCP clients with surveillance data on all adults diagnosed with HIV. Using propensity score matching, we identified a contemporaneous, non-CCP-exposed comparison group. Durable viral suppression (DVS) was defined as regular viral load (VL) monitoring and all VLs ≤200 copies per milliliter in months 13-36 of follow-up.

RESULTS

Ninety percent of the combined cohort (N = 12,414) had ≥1 VL ≤200 during the follow-up period (December 1, 2009-March 31, 2016), and nearly all had routine VL monitoring, but only 36.8% had DVS. Although DVS did not differ overall (relative risk: 0.99, 95% confidence interval: 0.95 to 1.03), CCP clients without any VL suppression (VLS) in the 12-month pre-enrollment showed higher DVS versus "usual care" recipients (21.3% versus 18.4%; relative risk: 1.16, 95% confidence interval: 1.04 to 1.29).

CONCLUSIONS

Enrollment in an intensive intervention modestly improved DVS among those unsuppressed before CCP enrollment. This program shows promise for meeting treatment-as-prevention goals and advancing progress along the HIV care continuum, if people without evidence of VLS are prioritized for CCP enrollment over those with recent evidence of VLS. Low overall DVS (<40%) levels underscore a need for focused adherence maintenance interventions, in a context of high treatment access.

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 for Patients With Complex Needs: A Controlled Evaluation of a Walk-In, Incentivized Care Model

BACKGROUND

New approaches are needed to provide care to persons with HIV who do not engage in conventionally organized HIV clinics. The Max Clinic in Seattle, Washington, is a walk-in, incentivized HIV care model located in a public health STD clinic that provides care in collaboration with a comprehensive HIV primary care clinic (the Madison Clinic).

METHODS

We compared outcomes in the first 50 patients enrolled in Max Clinic and 100 randomly selected matched Madison Clinic control patients; patients in both groups were virally unsuppressed (viral load [VL] >200 copies/mL) at baseline. The primary outcome was any VL indicating viral suppression (≥1 VL <200 copies/mL) during the 12 months postbaseline. Secondary outcomes were continuous viral suppression (≥2 consecutive suppressed VLs ≥60 days apart) and engagement in care (≥2 medical visits ≥60 days apart). We compared outcomes in the 12 months pre- and postbaseline and used generalized estimating equations to compare changes in Max vs control patients, adjusting for unstable housing, substance use, and psychiatric disorders.

RESULTS

Viral suppression improved in both groups pre-to-post (20% to 82% Max patients; P < .001; and 51% to 65% controls; P = .04), with a larger improvement in Max patients (adjusted relative risk ratio [aRRR], 3.2; 95% confidence interval [CI], 1.8-5.9). Continuous viral suppression and engagement in care increased in both groups but did not differ significantly (continuous viral suppression: aRRR, 1.5; 95% CI, 0.5-5.2; engagement: aRRR, 1.3; 95% CI, 0.9-1.9).

CONCLUSIONS

The Max Clinic improved viral suppression among patients with complex medical and social needs.

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.

Duration Since Never in HIV Care and Immediate Blood-Draw After HIV Diagnosis are Associated with Willingness to Link to Care Following Health Department Outreach, New York City

Late presentation to human immunodeficiency virus (HIV) care is an important concern for clinical outcomes and HIV prevention. Significant proportions of HIV-diagnosed persons are not timely linked to care following HIV diagnosis. We implemented and evaluated an intervention to link to care persons never in HIV care (NIC). Disease intervention specialists (DIS) traced persons presumed to be NIC since HIV diagnosis, offered them assistance with linkage to care, and elicited reasons for NIC. We examined the overall outcomes of the intervention and reasons for NIC. From January 2013 to December 2016, 121 persons were traced; 19% were linked to HIV care. Significantly (all P < 0.001) higher proportions of persons linked versus not linked to care were diagnosed < 1 year prior to being contacted by DIS (48% vs. 13%) or had a HIV-related laboratory test performed within 0-7 days of their diagnosis (87% vs. 33%). Among the 105 who provided reasons for NIC, most commonly reported were not believing one's HIV diagnosis (30%) and lacking medical insurance (18%). Approximately 10% had been to a hospital emergency room and 20% to a primary care physician in the past year. Health department efforts to link persons NIC for HIV care were effective with a minority of eligible persons. Persons diagnosed within 1 year or who underwent HIV-related testing within 0-7 days of diagnosis were more likely to link to care. Newly HIV-diagnosed persons should be promptly referred to undergo all diagnostic testing and assessments on the same day or within 1 week of diagnosis.

"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.

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.

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.

CROI 2018: Advances in Antiretroviral Therapy

The 2018 Conference on Retroviruses and Opportunistic Infections (CROI) showcased exciting data on new investigational agents including MK-8591 and tri-specific antibody targeting 3 highly conserved epitopes on HIV-1 in a single antibody. Clinical trials of initial antiretroviral therapy (ART) and switch studies involving bictegravir/emtricitabine/tenofovir alafenamide were presented. Intensification of initial ART with integrase strand transfer inhibitors did not increase the risk of immune reconstitution inflammatory syndrome. Pharmacokinetic issues were discussed, including the substantial drug-drug interactions between efavirenz-based ART and hormonal contraception delivered via a vaginal ring. Studies on pre-ART drug resistance and emergence of drug resistance after initial and second-line ART in different settings and populations were highlighted. Novel technologies to identify drug resistance included a free, cloud-based web service for HIV genotyping analysis and a promising technology for point-of-care drug resistance mutations testing. New strategies to improve the HIV care continuum included home-based testing with initiation of same-day ART and stratified care with specialized clinics to serve those disengaged in care, but the data on financial incentives were not encouraging. Several studies provided insights into the impact of early ART on decreasing the size of the HIV reservoir in HIV-infected infants. Pertinent conference findings relating to women's health issues included similar clinical outcomes between breastfeeding and formula feeding HIV-infected women, the problem of viral rebound and ART nonadherence in pregnancy and postpartum.

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.

Care continuum entry interventions: seek and test strategies to engage persons most impacted by HIV within the United States

: The current review re-conceptualizes seek and test strategies, particularly given the changing importance of HIV testing as care continuum entry for persons irrespective of their HIV status. Care continuum entry advances previous seek and test strategies for client engagement with two next-generation functions: use of testing to engage (or re-engage) HIV negative clients in preexposure prophylaxis (PrEP) care; and testing individuals who may already be known positives for care continuum re-entry. We review existing seek and test strategies for most impacted community members with a goal of optimizing care continuum entry as we move towards HIV transmission elimination. These strategies are context, sub-group, community and epidemic-specific. This review is timely, given the initiation of routine PrEP care, which shifts and broadens our conceptualization of care continuum entry triggered by the HIV testing event. In addition, as the epidemic becomes more concentrated, focusing on re-engagement of HIV-infected persons becomes increasingly important given that transmission events involve both those acutely and newly infected as well as the large numbers who may not be virally suppressed. We start with examination of routine testing in healthcare settings, emphasizing its potential role in re-engagement for persons out of care. Subsequently, we describe risk-based testing to identify key populations. We then review network-based approaches and their impact on the epidemic. We close with future directions for individual and combination care continuum entry strategies most relevant to elimination of HIV transmission in the United States.

Informing Targeted Interventions to Optimize the Cascade of HIV Care Using Cluster Analyses of Health Resource Use Among People Living with HIV/AIDS

Increased awareness of the secondary preventive benefits of antiretroviral treatment (ART) has strengthened the desire to optimize health care systems' response to HIV/AIDS. We identified clusters of health resource utilization (HRU) among people living with HIV (PLHIV) to inform targeted interventions aimed to optimize the cascade of HIV care. Using linked population-level health databases in British Columbia, Canada, we selected two analytic samples of PLHIV with 3 years of follow-up between 2006-2011 that were classified as intermittently retained in care or intermittently engaged in ART, and executed a probabilistic model-based clustering analysis for each sample with 5 and 9 quarterly HRU variables, respectively. We found clear HRU profile differences among both samples with similar HIV-related care: one featured active involvement in non-HIV care, the other little or no health care interaction following linkage to care. Differential reengagement intervention strategies capitalizing on missed opportunities in non-HIV care and further engaging physicians delivering HIV care are needed to optimize the response to the HIV epidemic.

Sociodemographic Differences in Clients Preferring Video-Call Over In-person Interview: A Pilot Study of HIV Tele-partner Services

The New York City Department of Health Disease Intervention Specialists (DIS) routinely contact newly HIV-diagnosed persons via telephone calls and in-person meetings to conduct partner services (PS) interviews in order to elicit the names and contact information of the HIV-exposed partners for notification and HIV-testing, and to assist clients with linkage to care. From October 2013 to December 2015, we offered PS interviews conducted via video-call alongside voice-call and in-person modes in a selected geographic area of NYC. PS interviews were conducted according to the clients' preferred mode (in-person, voice- or video-call) and location (health care facility, clients' residences, or other NYC locations). At the conclusion of the PS interviews, DIS elicited responses from persons interviewed via video-call on their perception, satisfaction and personal experiences using video-call for public health and personal purposes. Acceptance and satisfaction with PS interviews via video-call were high among clients aged <30 years, men who have sex with men, or with education above high school; while PS yields were similar across modes. These results provide evidence of the potential effectiveness of video-call interviews for specific populations.

The North Carolina HIV Bridge Counselor Program: Outcomes From a Statewide Level Intervention to Link and Reengage HIV-Infected Persons in Care in the South

BACKGROUND

To improve the HIV continuum of care, a team of field service interventionists (State Bridge Counselors, SBC) was developed through a state public health system and provided brief (1-2) contacts for linkage of newly diagnosed persons with HIV and reengagement of persons living with HIV (PLWH) who were not in care.

SETTING

North Carolina, United States.

METHODS

Service data from January 2013 to June 2015 were analyzed to determine characteristics of clients referred to SBCs, proportions linked or reengaged in care, and/or achieved viral load suppression (VLs). We evaluated associations between client characteristics and outcomes using multivariable analyses and estimated odds ratios (OR) with 95% confidence intervals (CI).

RESULTS

SBCs provided linkage services to 299 newly diagnosed individuals and reengagement services to 606 PLWH throughout North Carolina. Among persons who received linkage services, 189 (63%) had evidence of care within 90 days of referral and 205 (69%) had VLs within a year. Among PLWH who received reengagement services, 278 (46%) had care within 90 days and 308 (51%) had VLs within a year. Persons aged 30-39 years (OR, 2.1; 95% CI, 1.1 to 3.9) and 40-49 years had an increased likelihood (OR, 2.4; 95% CI, 1.1 to 5.2) of linkage within 90 days compared with persons aged 18-29 years. Non-white PLWH had an increased OR of 1.7; (95% CI, 1.2 to 2.5) of reengagement compared with whites.

CONCLUSIONS

Our SBC program successfully implemented a "low-touch" approach to provision of linkage and reengagement services, demonstrating that public health resources can be used to address the HIV care continuum on a statewide level.

Observational Study of the Effect of Patient Outreach on Return to Care: The Earlier the Better

BACKGROUND

The burden of HIV remains heaviest in resource-limited settings, where problems of losses to care, silent transfers, gaps in care, and incomplete mortality ascertainment have been recognized.

METHODS

Patients in care at Academic Model Providing Access to Healthcare (AMPATH) clinics from 2001-2011 were included in this retrospective observational study. Patients missing an appointment were traced by trained staff; those found alive were counseled to return to care (RTC). Relative hazards of RTC were estimated among those having a true gap: missing a clinic appointment and confirmed as neither dead nor receiving care elsewhere. Sample-based multiple imputation accounted for missing vital status.

RESULTS

Among 34,522 patients lost to clinic, 15,331 (44.4%) had a true gap per outreach, 2754 (8.0%) were deceased, and 837 (2.4%) had documented transfers. Of 15,600 (45.2%) remaining without active ascertainment, 8762 (56.2%) with later RTC were assumed to have a true gap. Adjusted cause-specific hazard ratios (aHRs) showed early outreach (a ≤8-day window, defined by grid-search approach) had twice the hazard for RTC vs. those without (aHR = 2.06; P < 0.001). HRs for RTC were lower the later the outreach effort after disengagement (aHR = 0.86 per unit increase in time; P < 0.001). Older age, female sex (vs. male), antiretroviral therapy use (vs. none), and HIV status disclosure (vs. none) were also associated with greater likelihood of RTC, and higher enrollment CD4 count with lower likelihood of RTC.

CONCLUSION

Patient outreach efforts have a positive impact on patient RTC, regardless of when undertaken, but particularly soon after the patient misses an appointment.

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.

A Novel Modeling Approach for Estimating Patterns of Migration into and out of San Francisco by HIV Status and Race among Men Who Have Sex with Men

In the early 1980s, men who have sex with men (MSM) in San Francisco were one of the first populations to be affected by the human immunodeficiency virus (HIV) epidemic, and they continue to bear a heavy HIV burden. Once a rapidly fatal disease, survival with HIV improved drastically following the introduction of combination antiretroviral therapy in 1996. As a result, the ability of HIV-positive persons to move into and out of San Francisco has increased due to lengthened survival. Although there is a high level of migration among the general US population and among HIV-positive persons in San Francisco, in- and out-migration patterns of MSM in San Francisco have, to our knowledge, never been described. Understanding migration patterns by HIV serostatus is crucial in determining how migration could influence both HIV transmission dynamics and estimates of the HIV prevalence and incidence. In this article, we describe methods, results, and implications of a novel approach for indirect estimation of in- and out-migration patterns, and consequently population size, of MSM by HIV serostatus and race in San Francisco. The results suggest that the overall MSM population and all the MSM subpopulations studied decreased in size from 2006 to 2014. Further, there were differences in migration patterns by race and by HIV serostatus. The modeling methods outlined can be applied by others to determine how migration patterns contribute to HIV-positive population size and output from these models can be used in a transmission model to better understand how migration can impact HIV transmission.

"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.