# Remote Training in Evidence-based Practices for Clinicians Who Work with Migrant Workers

> **NIH NIH P50** · UNIVERSITY OF WASHINGTON · 2020 · $110,212

## Abstract

PROJECT SUMMARY. The UW School of Social Work, in partnership with Heritage University’s School of
Social Work in Yakima Valley recently partnered to develop a training program for BA level Social Workers to
address limited clinician capacity in rural primary care settings. Currently the curriculum is a combination of
didactic training in telephone based CBT (20 hours), role play training (25 hours), and guided supervision. This
model of training is like the methods used by EBPI training programs for care managers in the AIMS Center
and the VA. The scalability of these programs is limited, however, by expert time to conduct training activities,
clinician time away from work to engage in training activities, and the fact that even when clinicians participate
in training, there is no guarantee they will certify. Adaptive learning, an educational method that uses adaptive
algorithms to may be a potential solution to these problems in capacity building. These programs can tailor the
educational experience to the needs of the trainee, reduce time in training, improve competence in complex
decision-making and standardize training. This study builds on the existing research base on EBPI training,
and adds to it by designing and testing an intelligent tutoring system (ITS) based on adaptive learning
algorithms. Both EBPI experts (Aisenberg) and past EBPI trainees (Heritage University School of Social Work)
will partner with experts in educational software development (Popovic) to create the ITS, which will be
compared to training as usual on time to training, competence and skill drift. We hypothesize that capacity
building through improved EBPI learnability (target mechanism) will result in enhanced clinical ability to deliver
EBPI elements competently, and in a shorter time-period, and that greater competence will result in better
quality of care.

## Key facts

- **NIH application ID:** 9914132
- **Project number:** 5P50MH115837-03
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** EUGENE AISENBERG
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $110,212
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9914132

## Citation

> US National Institutes of Health, RePORTER application 9914132, Remote Training in Evidence-based Practices for Clinicians Who Work with Migrant Workers (5P50MH115837-03). Retrieved via AI Analytics 2026-06-11 from https://api.ai-analytics.org/grant/nih/9914132. Licensed CC0.

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