The goal of this project is to conduct a pilot study to test the utility of a Natural Language Processing (NLP) clinical messaging tool to improve the reach and the quality (fidelity and competency) of coaches providing behavioral activation (BA) strategies through a mobile mental health app called Personalized Real-time Intervention for Motivational Enhancement (PRIME). This study will improve the reach of clinicians by using a NLP-powered messaging tool, which will ensure fidelity to the BA model and clinicians will have access to real-time clinical information about their patients to guide more targeted treatment (competence). If successful, PRIME could operate as a cost effective tool for clinicians to extend their reach and an accessible treatment for the population of those struggling with depression.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
University of California San Francisco
San Francisco, California, United States
Depression severity
PhQ-9
Time frame: Change from baseline to 3 month follow-up
Functioning
Sheehan Disability Scale
Time frame: Change from baseline to 3 month follow-up
Coaching efficiency
Flurry analytics
Time frame: 8 weeks
Coaching competence
Fidelity and competence assessment
Time frame: 8 weeks
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