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.

Sharing the cure: Building primary care and public health infrastructure to improve the hepatitis C care continuum in Maryland.

In 2014, trained healthcare provider capacity was insufficient to deliver care to an estimated 70 000 persons in Maryland with chronic hepatitis C virus (HCV) infection. The goal of Maryland Community Based Programs to Test and Cure Hepatitis C, a public health implementation project, was to improve HCV treatment access by expanding the workforce. Sharing the Cure (STC) was a package of services deployed 10/1/14-9/30/18 that included enhanced information technology and public health infrastructure, primary care provider training and practice transformation. Nine primary care sites enrolled. HCV clinical outcomes were documented among individuals who presented for care at sites and met criteria for HCV testing including risk factor or birth cohort (born between 1945 and 1965) based testing. Fifty-three providers completed the STC training. STC providers identified 3237 HCV antibody-positive patients of which 2624 (81%) were RNA+. Of those HCV RNA+, 1739 (66%) were staged, 932 (36%) were prescribed treatment, 838 (32%) started treatment, 721 (27%) completed treatment and 543 (21%) achieved cure. Among 1739 patients staged, 693 (40%) patients had a liver fibrosis assessment score < F2, rendering them ineligible for treatment under Maryland Medicaid guidelines. HCV RNA testing among HCV antibody-positive people increased from 40% (baseline) to 95% among STC providers. Of 554 patients with virologic data reported, 543 (98%) achieved cure. Primary care practices can effectively serve as HCV treatment centers to expand treatment access. However, criteria by insurance providers in Maryland were a major barrier to treatment.

Evaluating HIV Surveillance Completeness Along the Continuum of Care: Supplementing Surveillance With Health Center Data to Increase HIV Data to Care Efficiency.

BACKGROUND: HIV surveillance is essential to quantifying the impact of the epidemic and shaping HIV programs. The Maryland Department of Health (MDH) historically conducted HIV Data to Care (D2C) activities using surveillance data to identify individuals who were not in HIV care; however, most case investigations concluded that the individuals in question were currently engaged in care. This suggests that delays and gaps in laboratory reporting to HIV surveillance exist and the proportion of HIV-positive Marylanders who are truly in care is underestimated. Therefore, solely relying on surveillance data might not be an efficient method for identifying not in care HIV cases. SETTING: Through the Partnerships for Care (P4C) project, MDH conducted targeted D2C efforts on HIV patients from 4 health centers. METHODS: The expanded D2C model that MDH created during P4C integrated clinical data as a secondary data source to enhance the surveillance data used to estimate HIV patient care engagement. MDH matched and compared health center electronic health records with HIV surveillance data to assess completeness of HIV case and laboratory reporting. RESULTS: HIV case ascertainment was high (99.9%) for the P4C cohort (N = 927), but differences in estimated care engagement and viral suppression between data sources revealed incomplete laboratory reporting and that patients received care from multiple providers. Analyzing the clinical data leads to the resolution of several reporting gaps, which improved surveillance data quality over time. CONCLUSIONS: Health departments should validate their HIV surveillance completeness. Triangulating surveillance data with clinical data generated more accurate depictions of care engagement and increased D2C efficiency.

Using Resource Allocation Modeling to Inform HIV Prevention Priority Setting for Baltimore-Towson, Maryland.

PROBLEM: In 2010, the Centers for Disease Control and Prevention (CDC) launched the "Enhanced Comprehensive HIV Prevention Planning" initiative, which targeted funding to the 12 U.S. metropolitan statistical areas (MSAs) with the most severe epidemics of human immunodeficiency virus infection to a) develop a plan to align each MSA's HIV prevention plan with the National HIV/AIDS Strategy (NHAS) and b) identify and implement the optimal combination of prevention services to reduce new infections. PURPOSE: This paper describes how the Maryland Department of Health and Mental Hygiene (DHMH) partnered with the Johns Hopkins Bloomberg School of Public Health (JHSPH) to conduct mathematical modeling and economic analyses to inform local planning for resource allocation and intervention design for the Baltimore-Towson MSA. KEY POINTS: The paper outlines the steps of building and implementing that analytic partnership, illustrates how results were discussed with other key stakeholders, and shows how the findings informed local priority setting. CONCLUSION: The paper demonstrates how health departments, academia, and community partners can jointly use policy modeling to improve resource allocation and address urgent public health challenges.

Using Baltimore HIV behavioral surveillance data for local HIV prevention planning.

In response to the National HIV/AIDS Strategy (NHAS) and as part of CDC's Enhanced Comprehensive HIV Prevention Plan (ECHPP) project, Maryland developed a comprehensive local HIV prevention plan for the Baltimore-Towson Metropolitan Statistical Area and identified a series of priority HIV prevention and service goals. The current project sought to: (1) determine how well National HIV Behavioral Surveillance (NHBS) indicators were aligned with NHAS/ECHPP-informed local HIV prevention goals (2) facilitate on-going NHBS data utilization to inform on-going local HIV prevention and service planning, and (3) build a foundation for future NHBS data utilization in local HIV decision-making. Project activities identified key HIV-related indicators in NHBS that are directly or indirectly related to local HIV priorities as informed by NHAS/ECHPP, which can be used for HIV prevention planning in the Baltimore area. Areas for enhancing NHBS and local data collection to further inform HIV prevention priorities are highlighted.

Diffusion of effective HIV prevention interventions--lessons from Maryland and Massachusetts.

This article describes, compares, and contrasts the contexts, processes, and results of the experiences of Maryland and Massachusetts in diffusing evidence-based interventions. The evolution of first Maryland's, then Massachusetts's, diffusion of effective interventions is described. Both states have extensive experience planning, developing and evaluating individual-, group-, and community-level interventions promoted in the Centers for Disease Control and Prevention's Diffusion of Effective Behavioral Interventions (DEBI) initiative, as well as overcoming many barriers to translate research to practice. This article describes the processes whereby effective interventions were diffused from the planning to evaluation stages. This includes the role of community-planning groups and other local stakeholders in planning, procurement methods, and capacity building approaches. Specific milestones in increasing the evidence basis of program implementation, management, and evaluation are presented. For jurisdictions considering implementing DEBI, the article illustrates core programmatic and infrastructure capacities at the state and vendor level important to success in Maryland and Massachusetts. It also describes how each state's approach to the management and evaluation of prevention programs contributed to the effective diffusion of the behavioral interventions. Finally, this article provides recommendations about remaining gaps in evidence-based interventions to meet "real-world prevention needs" and ways to improve prevention targeting and effectiveness. This article recommends strategies to improve the dissemination of DEBI and other evidence-based interventions nationally.