He started making connections with the Universiti Malaya and the LGBTQ NGOs in the country. He saw a need for public health prevention research. He started his work to lower HIV transmission among gay and bisexual men in Southeast Asia. This focused on sexualized drug use, known as chemsex.
Previous research demonstrates that the use of drugs like methamphetamine, ecstasy, and GHB can lead to risk-taking behavior like multiple sexual partners, reduced condom use, and poor adherence to pre-exposure prophylaxis (PrEP) or medications that can prevent HIV infection.
Wickersham and his co-principal investigator Roman Shrestha, PhD, MPH, assistant professor at the University of Connecticut, designed a micro-randomized trial using a just-in-time adaptive intervention to determine whether using an app could reduce HIV-uninfected gay or bisexual men from engaging in high-risk behavior that would put them at risk for HIV transmission. They recently received an R01 grant from the National Institute of Drug Abuse for this work.
The app, called JomCare, will ask study participants twice a day about their substance cravings and their intention to engage in drug use. The researchers will randomize the participants to receive one of three types of interventions. Within 12 hours, the men will be assessed to see if they engaged in any kind of sexualized drug use activity and will undergo urine testing for stimulant drugs as an objective measure. Participants are followed for 90 days.
“Sexualized drug use is hard to intervene on. Unfortunately, there are no medication-based therapies like those that are available for opioid dependence, such as buprenorphine or naltrexone. There are no approved therapies for people experiencing dependence on these drugs,” explained Wickersham.
Through this study, the research team is trying to refine which prompts at which time and under which conditions are the most impactful in reducing risk-taking behaviors. The team will use that data with machine learning to predict under which conditions, which answers at which times of day, and which intervention prompts yield the greatest reduction in those risk behaviors.
Premananda Indic, PhD, associate professor in the Department of Electrical Engineering at UT Tyler, will lead the machine learning component of the study.
YSM’s James Dziura, MPH, PhD, professor of emergency medicine, of biostatistics, and of medicine (endocrinology) and Edward Boyer, MD, PhD, professor of emergency medicine at The Ohio State University, and Iskandar Azwa, MBChB, MRCP, associate professor of medicine at the Universiti Malaya in Kuala Lumpur, Malaysia, are also part of the research team.
Wickersham and team plan to continue these efforts in the future to focus specifically on HIV prevention.
Yale School of Medicine’s Department of Internal Medicine Section of Infectious Diseases engages in comprehensive and innovative patient care, research, and educational activities for a broad range of infectious diseases. Learn more at Infectious Diseases.