TY - JOUR
T1 - Piloting the use of artificial intelligence to enhance HIV prevention interventions for youth experiencing homelessness
AU - Rice, Eric
AU - Yoshioka-Maxwell, Amanda
AU - Petering, Robin
AU - Onasch-Vera, Laura
AU - Craddock, Jaih
AU - Tambe, Milind
AU - Yadav, Amulya
AU - Wilder, Bryan
AU - Woo, Darlene
AU - Winetrobe, Hailey
AU - Wilson, Nicole
N1 - Publisher Copyright:
© 2018 by the Society for Social Work and Research. All rights reserved.
PY - 2018/12/1
Y1 - 2018/12/1
N2 - Objective: Youth experiencing homelessness are at risk for HIV and need interventions to prevent risky sex behaviors. We tested the feasibility of using artificial intelligence (AI) to select peer change agents (PCAs) to deliver HIV prevention messages among youth experiencing homelessness. Method: We used a pretest– posttest quasi-experimental design. In the AI condition (n = 62), 11 PCAs were selected via AI algorithm; in the popularity comparison (n = 55), 11 PCAs were selected 6 months later based on maximum degree centrality (most ties to others in the net-work). All PCAs were trained to promote HIV testing and condom use among their peers. Participants were clients at a drop-in center in Los Angeles, CA. HIV testing and condom use were assessed via a self-administered, computer-based survey at baseline (n = 117), 1 month (n = 86, 74%), and 3 months (n = 70, 60%). Results: At 3 months, rates of HIV testing increased among participants in the AI condition relative to the comparison group (18.8% vs. 8.1%), as did condom use during anal sex (12.1% vs. 3.3%) and vaginal sex (29.2% vs. 23.7%). Conclusions: AI-enhanced PCA intervention is a feasible method for engaging youth experiencing homelessness in HIV prevention.
AB - Objective: Youth experiencing homelessness are at risk for HIV and need interventions to prevent risky sex behaviors. We tested the feasibility of using artificial intelligence (AI) to select peer change agents (PCAs) to deliver HIV prevention messages among youth experiencing homelessness. Method: We used a pretest– posttest quasi-experimental design. In the AI condition (n = 62), 11 PCAs were selected via AI algorithm; in the popularity comparison (n = 55), 11 PCAs were selected 6 months later based on maximum degree centrality (most ties to others in the net-work). All PCAs were trained to promote HIV testing and condom use among their peers. Participants were clients at a drop-in center in Los Angeles, CA. HIV testing and condom use were assessed via a self-administered, computer-based survey at baseline (n = 117), 1 month (n = 86, 74%), and 3 months (n = 70, 60%). Results: At 3 months, rates of HIV testing increased among participants in the AI condition relative to the comparison group (18.8% vs. 8.1%), as did condom use during anal sex (12.1% vs. 3.3%) and vaginal sex (29.2% vs. 23.7%). Conclusions: AI-enhanced PCA intervention is a feasible method for engaging youth experiencing homelessness in HIV prevention.
UR - http://www.scopus.com/inward/record.url?scp=85057792810&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85057792810&partnerID=8YFLogxK
U2 - 10.1086/701439
DO - 10.1086/701439
M3 - Article
AN - SCOPUS:85057792810
SN - 2334-2315
VL - 9
SP - 551
EP - 573
JO - Journal of the Society for Social Work and Research
JF - Journal of the Society for Social Work and Research
IS - 4
ER -