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

BACKGROUND: Re-engaging people with HIV who are newly out-of-care remains challenging. Data-to-care (D2C) is a potential strategy to re-engage such individuals. METHODS: A prospective randomized controlled trial compared a D2C strategy using a disease intervention specialist (DIS) vs standard of care where 23 HIV clinics in 3 counties in Connecticut could re-engage clients using existing methods. Using a data reconciliation process to confirm being newly out-of-care, 655 participants were randomized to DIS (N = 333) or standard of care (N = 322). HIV care continuum outcomes included re-engagement at 90 days, retention in care, and viral suppression by 12 months. Multivariable regression models were used to assess factors predictive of attaining HIV care continuum outcomes. RESULTS: Participants randomized to DIS were more likely to be re-engaged at 90 days (adjusted odds ratios [aOR] = 1.42, P = 0.045). Independent predictors of re-engagement at 90 days were age older than 40 years (aOR = 1.84, P = 0.012) and perinatal HIV risk category (aOR = 3.19, P = 0.030). Predictors of retention at 12 months included re-engagement at 90 days (aOR = 10.31, P < 0.001), drug injection HIV risk category (aOR = 1.83, P = 0.032), detectable HIV-1 RNA before randomization (aOR = 0.40, P = 0.003), and county (Hartford aOR = 1.74, P = 0.049; New Haven aOR = 1.80, P = 0.030). Predictors of viral suppression included re-engagement at 90 days (aOR = 2.85, P < 0.001), retention in HIV care (aOR = 7.07, P < 0.001), and detectable HIV-1 RNA prerandomization (aOR = 0.23, P < 0.001). CONCLUSIONS: A D2C strategy significantly improved re-engagement at 90 days. Early re-engagement improved downstream benefits along the HIV care continuum like retention in care and viral suppression at 12 months. Moreover, other factors predictive of care continuum outcomes can be used to improve D2C strategies.

Implementing a Surveillance-Based Approach to Create a Statewide Viral Clearance Cascade for Hepatitis C Among People With HIV and HCV Coinfection in Connecticut.

OBJECTIVES: Highly effective direct-acting antiviral medications have made it feasible to achieve elimination of hepatis C virus (HCV), including for people with HIV and HCV coinfection. The Centers for Disease Control and Prevention offers guidance for a laboratory surveillance-based HCV viral clearance cascade, which allows public health departments to track the outcomes of people with HCV based on the following steps: ever infected, virally tested, initial infection, and cured or cleared. We examined the feasibility of this approach among people with HIV and HCV coinfection in Connecticut. METHODS: We matched an HIV surveillance database, which included cases from the enhanced HIV/AIDS Reporting System as of December 31, 2019, and the HCV surveillance database, the Connecticut Electronic Disease Surveillance System, to define a cohort of coinfected people. We used HCV laboratory results obtained from January 1, 2016, through August 3, 2020, to determine HCV status. RESULTS: Of 1361 people who were ever infected with HCV as of December 31, 2019, 1256 (92.3%) received HCV viral testing, 865 of 1256 people tested (68.9%) were HCV infected, and 336 of 865 infected people (38.8%) were cleared or cured. People who had undetectable HIV viral loads at most recent HIV test (<200 copies/mL) were more likely than those with detectable HIV viral loads to achieve HCV cure (P = .02). CONCLUSIONS: A surveillance-based approach that includes data based on the Centers for Disease Control and Prevention HCV viral clearance cascade is feasible to implement, can help track population-level outcomes longitudinally, and can help identify gaps to inform HCV elimination strategies.

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

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

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.

Measuring chronic liver disease mortality using an expanded cause of death definition and medical records in Connecticut, 2004.

AIM: Chronic liver disease (CLD) is a leading cause of death and is defined based on a specific set of underlying cause-of-death codes on death certificates. This conventional approach to measuring CLD mortality underestimates the true mortality burden because it does not consider certain CLD conditions like viral hepatitis and hepatocellular carcinoma. We measured how much the conventional CLD mortality case definition will underestimate CLD mortality and described the distribution of CLD etiologies in Connecticut. METHODS: We used 2004 Connecticut death certificates to estimate CLD mortality two ways. One way used the conventional definition and the other used an expanded definition that included more conditions suggestive of CLD. We compared the number of deaths identified using this expanded definition with the number identified using the conventional definition. Medical records were reviewed to confirm CLD deaths. RESULTS: Connecticut had 29 314 registered deaths in 2004. Of these, 282 (1.0%) were CLD deaths identified by the conventional CLD definition while 616 (2.1%) were CLD deaths defined by the expanded definition. Medical record review confirmed that most deaths identified by the expanded definition were CLD-related (550/616); this suggested a 15.8 deaths/100 000 population mortality rate. Among deaths for which hepatitis B, hepatitis C and alcoholic liver disease were identified during medical record review, only 8.6%, 45.4% and 36.5%, respectively, had that specific cause-of-death code cited on the death certificate. CONCLUSION: An expanded CLD mortality case definition that incorporates multiple causes of death and additional CLD-related conditions will better estimate CLD mortality.

Characterization of chronic hepatitis B cases among foreign-born persons in six population-based surveillance sites, United States 2001-2010.

National surveys indicate prevalence of chronic hepatitis B among foreign-born persons in the USA is 5.6 times higher than US-born. Centers for Disease Control and Prevention funded chronic hepatitis B surveillance in Emerging Infections Program sites. A case was any chronic hepatitis B case reported to participating sites from 2001 to 2010. Sites collected standardized demographic data on all cases. We tested differences between foreign- and US-born cases by age, sex, and pregnancy using Chi square tests. We examined trends by birth country during 2005-2010. Of 36,008 cases, 21,355 (59.3%) reported birth in a country outside the USA, 2,323 (6.5%) were US-born. Compared with US-born, foreign-born persons were 9.2 times more frequent among chronic hepatitis B cases. Foreign-born were more frequently female, younger, ever pregnant, and born in China. Percentages of cases among foreign-born persons were constant during 2005-2010. Our findings support information from US surveillance for Hepatitis B screening and vaccination efforts.

Electronic matching of HIV/AIDS and hepatitis C surveillance registries in three states.

OBJECTIVES: Both HIV and hepatitis C virus (HCV) can be transmitted through percutaneous exposure to blood in similar high-risk populations. HCV and HIV/AIDS surveillance databases were matched in Colorado, Connecticut, and Oregon to measure the frequency of co-infection and to characterize coinfected people. METHODS: We defined a case of HCV infection as a person with a reactive antibody for hepatitis C, medical diagnosis, positive viral-load test result, or positive genotype reported to any of three state health departments from the start of each state's hepatitis C registry through June 30, 2008. We defined a case of HIV/AIDS as a person diagnosed and living with HIV/AIDS at the start of each state's respective hepatitis C registry through June 30, 2008. HIV/AIDS and hepatitis C datasets were matched using Link King, public domain record linkage and consolidation software, and all potential matches were manually reviewed before acceptance as a match. RESULTS: The proportion of reported hepatitis C cases co-infected with HIV/ AIDS was 1.8% in Oregon, 1.9% in Colorado, and 4.9% in Connecticut. Conversely, the proportion of HIV/AIDS cases co-infected with hepatitis C was consistently higher in the three states: 4.4% in Oregon, 9.7% in Colorado, and 23.6% in Connecticut. CONCLUSIONS: Electronic matching of registries is a potentially useful and efficient way to transfer information from one registry to another. In addition, it can provide a measure of the public health burden of HIV/AIDS and hepatitis C co-infection and provide insight into prevention and medical care needs for respective states.

Population-based surveillance for hepatitis C virus, United States, 2006-2007.

Surveillance for hepatitis C virus infection in 6 US sites identified 20,285 newly reported cases in 12 months (report rate 69 cases/100,000 population, range 25-108/100,000). Staff reviewed 4 laboratory reports per new case. Local surveillance data can document the effects of disease, support linkage to care, and help prevent secondary transmission.