Adhere.ly is a web-based platform to help therapists engage their clients in practicing therapeutic skills during and between sessions. With digitized therapeutic exercises therapists can assess clients, remind them to complete activities, and regularly monitor their progress. Adhere.ly can be freely accessed at adhere.ly. 

Evaluating Adhere.ly with therapists and youth in community mental health practices

We are currently conducting a small-scale feasibility trial of Adhere.ly with therapists and youth clients in mental health settings in the community.

Therapist Eligibility

English-speaking, mental health therapists who have at least a master’s degree in social work, counseling, clinical psychology, or related field; carry active child mental health treatment caseloads; and have a laptop, tablet, or smartphone with internet access.

Youth Eligibility

English-speaking youth ages 7-17 years with clinically elevated anxiety and depression; have a laptop, tablet, or smartphone with internet access; and is seeking treatment with a participating therapist. 

If you are a therapist who sees youth with anxiety/depression and are interested in learning more about the trial, please contact Janelle Barrera at jfb@usf.edu or (813) 644-2674. 

Expanding Adhere.ly for use with adult clients 

We are currently conducting a small-scale feasibility trial of Adhere.ly with therapists and adult clients in mental health settings. 

Therapist Eligibility

English-speaking, mental health therapists in the U.S. who have at least a master’s degree in social work, counseling, clinical psychology, or related field; carry active adult mental health treatment caseloads; and have a laptop, tablet, or smartphone with internet access. 

Client Eligibility 

English-speaking adult at least 18 years old with clinically elevated anxiety and depression; have a laptop, tablet, or smartphone with internet access; and is seeking treatment with a participating therapist. 

If you are a therapist who sees clients with anxiety/depression and are interested in learning more about the trial, please contact Janelle Barrera at jfb@usf.edu or (813) 644-2674. 

Using Artificial Intelligence to Detect Suicidality and Intentional Self Harm from Clinical Note Text

In collaboration with investigators at the Medical University of South Carolina we are assessing the capability of text-based deep learning models for phenotyping of suicidal behavior and for the prediction of suicide attempts and suicide death from past clinical text and Electronic Health Record data.

CBT-Iweb

In collaboration with investigators at the University of Arizona, Medical University of South Carolina, and University of North Texas, we developed and evaluated CBT-Iweb, a web-based provider training for Cognitive Behavioral Therapy of Insomnia (CBT-I). CBT-I is the gold standard non-pharmacological treatment for Insomnia. The training can be freely accessed at CBTIweb.org.