Journal Article

Advancing data to care strategies for persons with HIV using an innovative reconciliation process

Villanueva, Merceditas, Nichols, Lisa, Carroll, Constance, Speers, Suzanne, Altice, Frederick, Jenkins, Heidi, Miceli, Janet

2022

Overview

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. 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. 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. 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. 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.

• Publisher: Public Library of Science,Public Library of Science (PLoS)
• Subject: Acquired immune deficiency syndrome / AIDS / Biology and Life Sciences / Care and treatment / CD4 antigen / Clinics / Computer and Information Sciences / Disease control / Disease transmission / Estimates / Health care / Health care industry / Health surveillance / Hispanic people / HIV / HIV (Viruses) / Human immunodeficiency virus / Innovations / Intervention / Medical care / Medical diagnosis / Medicine and Health Sciences / Optimization / Patients / People and Places / Public health / Quality management / Randomization / Reconciliation / Research and Analysis Methods / Retention / Surveillance