Using HIV Surveillance Data for Targeted, Community-based Hepatitis C Virus Testing among Baby Boomers in Washington, D.C.

Community-based hepatitis C virus screening can identify individuals who are unaware of their infection and not regularly engaged in care. We report on a pilot study exploring the utility of using HIV surveillance data to identify targeted, geographical areas with high HIV prevalence and poor care indicators for screening baby boomers at risk for HCV. Between August-September 2014, we conducted community-based HCV rapid testing in high-risk census tracts. Eligible participants were born from 1945-1965 and not currently engaged in HCV care. Overall, 30% were HCV-antibody positive, 34% had a medical visit in the past year and among those with a medical visit, 75% had never been HCV-tested before. Using HIV surveillance data for targeted, community-based HCV testing yielded a high prevalence of untreated HCV cases. A large proportion had never been HCV-tested, suggesting this testing paradigm may be effective in reaching individuals at risk for HCV in a community-based setting.

Feasibility of Using HIV Care-Continuum Outcomes to Identify Geographic Areas for Targeted HIV Testing.

BACKGROUND: Improved detection and linkage to care of previously undiagnosed HIV infections require innovative approaches to testing. We sought to determine the feasibility of targeted HIV testing in geographic areas, defined by continuum of care parameters, to identify HIV-infected persons needing linkage or engagement in care. METHODS: Using HIV surveillance data from Washington, DC, we identified census tracts that had an HIV prevalence >1% and were either above (higher risk areas-HRAs) or below (lower risk areas-LRAs) the median for 3 indicators: monitored viral load, proportion of persons out of care (OOC), and never in care. Community-based HIV rapid testing and participant surveys were conducted in the 20 census tracts meeting the criteria. Areas were mapped using ArcGIS, and descriptive and univariate analyses were conducted comparing the areas and participants. RESULTS: Among 1471 persons tested, 28 (1.9%) tested HIV positive; 2.1% in HRAs vs. 1.7% in LRAs (P = 0.57). Higher proportions of men (63.7% vs. 56.7%, P = 0.007) and fewer blacks (91.0% vs. 94.6%, P = 0.008) were tested in LRAs vs. HRAs; no differences were observed in risk behaviors between the areas. Among HIV-positive participants, 54% were new diagnoses (n = 9) or OOC (n = 6), all were Black, 64% were men with a median age of 51 years. CONCLUSIONS: Although significant differences in HIV seropositivity were not observed between testing areas, our approach proved feasible and enabled identification of new diagnoses and OOC HIV-infected persons. This testing paradigm could be adapted in other locales to identify areas for targeted HIV testing and other reengagement efforts.

Sorting through the lost and found: are patient perceptions of engagement in care consistent with standard continuum of care measures?

BACKGROUND: Indicators for determining one's status on the HIV care continuum are often measured using clinical and surveillance data but do not typically assess patient perspectives. We assessed patient-reported care status along the care continuum and whether it differed from medical records and surveillance data. METHODS: Between June 2013 and October 2014, a convenience sample of clinic-attending HIV-infected persons was surveyed regarding care-seeking behaviors and self-perceived status along the care continuum. Participant responses were matched to DC Department of Health surveillance data and clinic records. Participants' care patterns were classified using Health Resources Services Administration-defined care status: in care (IC), sporadic care (SC), or out of care (OOC). Semistructured qualitative interviews were analyzed using an open coding process to elucidate relevant themes regarding participants' perceptions of engagement in care. RESULTS: Of 169 participants, most were male participants (64%) and black (72%), with a mean age of 50.7 years. Using self-reported visit patterns, 115 participants (68%) were consistent with being IC, 33 (20%) SC, and 21 (12%) OOC. Among OOC participants, 52% perceived themselves to be fully engaged in HIV care. In the previous year, among OOC participants, 71% reported having a non-HIV-related medical visit and 90% reported current antiretroviral use. Qualitatively, most SC and OOC persons did not see their HIV providers regularly because they felt healthy. CONCLUSIONS: Participants' perceptions of HIV care engagement differed from actual care receipt as measured by surveillance and clinical records. Measures of care engagement may need to be reconsidered as persons not receiving regular HIV care maybe accessing other health care and HIV medications elsewhere.