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.
Scaling a Smarter and More Efficient Intervention: Evaluating the Feasibility of Disseminating a Novel Mobile App Platform to Treat Depression
DepressionHumanMental Disordersinterventiondigital health
You can join if…
Open to people ages 18 years to 100 years
18 and older
Read and speak English
PHQ-9 score of 5 or greater or indicate that their depressive symptoms are interfering with their daily functioning (Item 10 of the PHQ-9> 2).
To be consistent with the NIMH RDoC initiative, we will assess for co-morbid problems(substance abuse, anxiety, and psychosis), but will not exclude participants with psychiatric comorbidities
Must own a mobile device on iOS or Android platforms that either Wi-Fi or 3G/4G ready;
You CAN'T join if...
Cannot read or speak in English
Cannot attain suitable mobile device
University of California San Francisco San Francisco, California, 94143, USA