Active Studies

We are currently leading funded studies to advance the science of implementation and improve access to care.

Project BENEFITS: BEhavioral Nudges to Enhance Fidelity In Telehealth Sessions

Goal: To develop and test a new telehealth tool that uses behavioral economics principles to "nudge" clinicians to deliver high-quality CBT. The study investigates whether this platform can increase the use of core CBT skills like symptom tracking and agenda-setting to improve patient outcomes.
PI: Multi-Principal Investigators: Becker-Haimes & Creed
Funder: National Institute of Mental Health (NIMH)
Mechanism: R34

Project AFFECT: AI-Based Fidelity Feedback to Enhance CBT Treatment

Goal: To develop and evaluate an AI-based software system that automatically estimates CBT fidelity from a session recording. The goal is to provide scalable, objective feedback to support training, supervision, and quality assurance in a way that is not possible with human experts.
Role: Multi-Principal Investigators: Atkins & Creed
Funder: National Institute of Mental Health (NIMH)
Mechanism: STTR

Project ACTIVE: Assessing Causal Pathways and Targets of Implementation Variability for EBP use

Goal: To identify which clinic, clinician, and client factors best support the delivery of CBT. The findings from this study will help us design better implementation strategies for clinicians and agencies.
PI: Becker-Haimes, Co-I Creed
Funder: National Institute of Mental Health (NIMH)
Mechanism: R01

Financial Strategy for EBPs: Stakeholder Perceptions of Outcomes Associated with a Financial Strategy to Increase the Use of Evidence-Based Practices

Goal: To empirically examine the real-time experiences of key community stakeholders with a financial strategy designed to improve the quality of behavioral health services. Findings will inform future financial strategies in under-resourced, publicly funded systems.
PI: Mora Ringle under mentorship of Creed
Funder: Seed funding from the Penn Collaborative

Technology-Supported Training And Quality Assurance For Psychosocial Interventions

Goal: To develop a tool that can quickly and automatically rate CBT competence from session audio. This machine learning model aims to provide an efficient and accurate alternative for measuring therapist skills, with significant implications for training, implementation, and equitable access to care.
PI: Atkins & Creed
Industry Partner: Lyssn.io

Development of an NLP-based therapist tool for culturally responsive care

Goal: To develop a prototype of a natural language processing (NLP)-based tool to assess and provide feedback on therapist cultural competency. The results will culminate in the development of a novel therapist support tool to address mental healthcare disparities.
PI: Kuo
Funder: National Institute of Mental Health (NIMH)
Mechanism: K23

The Sustained Implementation Plan: A Scalable Tool to Support Sustainability of Evidence-Based Mental Health Practices

Goal: To develop and test a tool that allows mental healthcare organizations to proactively identify areas of strength and growth related to their ability to sustain an EBP, and then create a tailored plan to improve sustainment.
Funder: Seed funding from the Penn Collaborative