Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health

Leonard Bickman, Ph.D.
Vanderbilt University

ABSTRACT:
This presentation describes the current state of mental health services, identifies critical problems, and suggests how to solve them. I focus on the potential contributions of artificial intelligence and precision mental health to improving mental health services. Toward that end, I draw upon my own research, which has changed over the last half century, to highlight the need to transform the way we conduct mental health services research and program development. I identify exemplars from the emerging literature on artificial intelligence and precision approaches to treatment in which there is an attempt to personalize or fit the treatment to the client in order to produce more effective interventions.

A tailored clinic-level intervention using a stepped-wedge design to increase PrEP uptake in primary care settings

Parya Saberi, PharmD, MAS, AAHIVP
University of California, San Francisco

Wayne Steward, PhD, MPH
University of California, San Francisco

ABSTRACT:
Lack of healthcare provider knowledge, capacity, and willingness to prescribe PrEP are barriers to PrEP delivery in clinical settings. In this presentation, we will discuss details of the PrEP Optimization Intervention (PrEP-OI) which combines a PrEP Coordinator with an online panel management tool to assist providers with PrEP uptake, persistence, and management in a large safety-net system. The intervention was rolled out at 12 primary care San Francisco Department of Public Health clinics using a stepped-wedge design preceding a follow-up phase. Additionally, we will review the challenges the study overcame with the development of PrEP-OI's technology-based component, onboarding and implementation, and response to the SARS-CoV-2 pandemic.

Advancing implementation of eHealth interventions for HIV prevention through the scale up of Keep It Up!

Brian Mustanski, PhD
Northwestern University

Nanette Benbow, M.A.S.
Northwestern University

Kathryn Macapagal, PhD
Northwestern University

Dennis Li, PhD, MPH
Northwestern University

ABSTRACT:
Despite substantial NIH investment in developing eHealth HIV prevention interventions, little implementation research has examined strategies to effectively scale up these programs. The Keep It Up! 3.0 study advances our knowledge by comparing two approaches for delivering an online CDC-best-evidence HIV intervention in 44 counties. This presentation describes our county-randomized hybrid type III effectiveness–implementation trial, focusing on the pragmatic design of our sampling methodology, outcome measures, the intervention application, and recruitment/retention protocols. By emulating real-world contexts, we can understand how to not only have the greatest public health impact with but also speed up implementation of eHealth HIV interventions.