Impact of an HIV Care Coordination Program on Durable Viral Suppression

McKaylee M Robertson, Kate Penrose, Mary K Irvine, Rebekkah S Robbins, Sarah Kulkarni, Sarah L Braunstein, Levi Waldron, Graham Harriman, Denis Nash, McKaylee M Robertson, Kate Penrose, Mary K Irvine, Rebekkah S Robbins, Sarah Kulkarni, Sarah L Braunstein, Levi Waldron, Graham Harriman, Denis Nash

Abstract

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.

Conflict of interest statement

CONFLICT OF INTEREST: none declared

Figures

Figure 1.
Figure 1.
Flow Chart of Study Inclusion for Care Coordination Program (CCP) and non-CCP Groups, New York City, 2009–2013

Source: PubMed

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