UNAIDS has set an ambitious target of 90-90-90 by 2020 to help end the AIDS epidemic wherein 90% of all HIV-infected people will know their status, 90% of those aware of their status will receive combination antiretroviral therapy (cART) and 90% of those on therapy will achieve virologic suppression. However, for this vision to be realized, 90-90-90 needs to be achieved in all populations especially those that are hardest to reach such as people who inject drugs (PWID) in low- and middle-income countries (LMICs). PWID in LMICs account for some of the fastest growing HIV epidemics that can be attributed to at least two factors: (1) inadequate access to HIV prevention services including HIV counseling and testing (HCT); and consequently, (2) low levels of linkage to care, initiation of ART and viral suppression. While viral suppression is the ultimate goal, there are several steps that lead to viral suppression - the first two steps and probably the most challenging steps are identifying infected PWID who are unaware of their status and linking them to care. There are several strategies focused on improving rates of retention in care and viral suppression being evaluated, but there are few trials underway to identify unaware and out-of-care individuals and link them to care particularly among PWID in LMICs. Beyond HIV, PWID also bear a disproportionately high burden of HCV infection with poor levels of knowledge and a care continuum far worse than what has been observed for HIV. Accordingly, this application is focused on developing and evaluating the cost-effectiveness of two strategies to identify PWID who are HIV-infected and not engaged in care in the community and link them to care centers. Strategy 1, time-based respondent-driven sampling (tRDS), focuses exclusively on network connections to identify infected individuals in the community, provide HIV/HCV testing and link infected persons to care centers. Strategy 2, respondent-driven sampling plus targeted field-based HIV testing (RDS+), utilizes a combination of network connections and spatially targeted field-based testing to identify infected individuals and link them to care. These two strategies will be evaluated using a cluster randomized trial approach across six Indian cities at varying stages of the HIV/PWID epidemic (e.g., historical vs. emerging) and differing geographic sizes (small cites vs. large cities). The primary endpoint of interest that will be compared across the two strategies will be the cost per HIV viremic (HIV RNA>1000 copies/ml) individual linked to care. Secondary outcomes include the cost per HIV-infected (previously unaware of status) individual identified and the cost per HCV-infected (previously unaware of status) individual identified. An additional objective of this application is to fine-tune these two strategies to maximize the cost-effectiveness of each approach. These interventions if cost-effective could be replicated in other high-, middle- and low-income settings to identify out-of-care HIV/HCV infected PWID in the community and link them to care.

Public Health Relevance

This cluster randomized trial is aimed at developing and evaluating the cost-effectiveness of a two strategies to improve awareness of HIV status and link people who inject drugs with detectable levels of HIV RNA (HIV RNA>1000 copies/ml) to a care center. One strategy is a network-based approach and the other combines a network-based strategy with a targeted field-based testing strategy.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
NIH Director’s New Innovator Awards (DP2)
Project #
1DP2DA040244-01
Application #
8967330
Study Section
Special Emphasis Panel (ZDA1-HXO-H (09))
Program Officer
Kahana, Shoshana Y
Project Start
2016-01-01
Project End
2020-12-31
Budget Start
2016-01-01
Budget End
2020-12-31
Support Year
1
Fiscal Year
2016
Total Cost
$2,430,000
Indirect Cost
$930,000
Name
Johns Hopkins University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21205
Patel, Eshan U; Solomon, Sunil S; Mcfall, Allison M et al. (2018) Hepatitis C care continuum and associated barriers among people who inject drugs in Chennai, India. Int J Drug Policy 57:51-60
Solomon, S S; Sulkowski, M S; Amrose, P et al. (2018) Directly observed therapy of sofosbuvir/ribavirin +/- peginterferon with minimal monitoring for the treatment of chronic hepatitis C in people with a history of drug use in Chennai, India (C-DOT). J Viral Hepat 25:37-46
Cepeda, Javier A; Solomon, Sunil S; Srikrishnan, Aylur K et al. (2017) Injection Drug Network Characteristics Are Important Markers of HIV Risk Behavior and Lack of Viral Suppression. J Acquir Immune Defic Syndr 75:257-264
Cepeda, Javier A; Solomon, Sunil S; Srikrishnan, Aylur K et al. (2016) Serum Fibrosis Markers for the Diagnosis of Liver Disease Among People With Chronic Hepatitis C in Chennai, India. Open Forum Infect Dis 3:ofw156
Solomon, Sunil Suhas; Mehta, Shruti H; McFall, Allison M et al. (2016) Community viral load, antiretroviral therapy coverage, and HIV incidence in India: a cross-sectional, comparative study. Lancet HIV 3:e183-90