Back

Adapting a Data to Care Approach for HIV to Promote HCV Cure for Persons with HIV/HCV Co-infection

Wegener, M. D.; Gosselin, D.; Brooks, R.; Speers, S.; Villanueva, M.

2023-10-27 hiv aids
10.1101/2023.10.26.23297615 medRxiv
Show abstract

With Direct Acting Antivirals for Hepatitis C virus (HCV), cure is possible in >95% including those with HIV/HCV co-infection. Achieving strategic targets for cure requires addressing barriers including suboptimal care engagement. We adapted Data to Care (D2C), a public health strategy designed to identify and link persons out of care (OOC) for HIV, for persons with HIV/HCV co-infection untreated for HCV. In partnership with Connecticut Department of Public Health (DPH), persons OOC for HIV (defined as no HIV surveillance laboratory tests from 10/1/2018-10/1/2019) were matched to a list of persons co-infected with HIV/HCV (through 12/31/2019). We used a three-phase follow-up approach (pre-work, case conferencing, and Disease Intervention Specialist (DIS) follow-up) to track outreach outcomes and re-engagement/HCV cure success. There were 90 HIV/HCV co-infected persons who were OOC for HIV. The pre-work and case conferencing phases determined that 33 (36.7%) had previous HCV cure or were in treatment. There were 41 eligible for DIS-follow-up of which 21 (51%) were successfully contacted and 7 (33%) successfully re-engaged (kept appointment with HCV provider). No new HCV treatment initiations were recorded. Using a D2C approach, we identified and conducted outreach to persons who were OOC for HIV to promote HCV treatment. This approach resulted in intensive data clean-up and outreach efforts which produced modest re-engagement and no HCV treatment initiations. Future studies should develop alternative and complementary interventions to promote effective re-engagement and HCV treatment.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.