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

University of Washington

Status: Terminated

Conditions: Depression

Treatments: Behavioral: Traditional Training; Behavioral: ITS based training

Study type: Interventional

Funder types: Other; NIH

Identifiers

NCT03515226

1P50MH115837-01 (U.S. NIH Grant/Contract)

STUDY00004268

Details and patient eligibility

About

This study will compare training as usual to automated training using an intelligent tutoring system in training bachelors (BA) level social workers in cognitive behavioral therapy (CBT). The purpose of the study is to determine if time and cost of training front line clinicians in evidence-based treatments can be shortened, and if this new training model can reduce the need for clinicians to seek advice from experts.

Full description

The University of Washington (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 bachelors (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 cognitive behavioral therapy (CBT; 20 hours), role play training (25 hours), and guided supervision. 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 clinical training, and adds to it by designing and testing an intelligent tutoring system (ITS) based on adaptive learning algorithms. Both CBT experts (Aisenberg) and past CBT 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. The investigators hypothesize that capacity building through improved learnability (target mechanism) will result in enhanced clinical ability to deliver CBT elements competently, and in a shorter time-period, and that greater competence will result in better quality of care.

Enrollment: 25 patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• BA level social work student
• Bilingual Spanish Speaking

Exclusion criteria

• none

Trial design

Primary purpose: Health Services Research

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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25 participants in 2 patient groups

Traditional Training

Active Comparator group

Description:

20 hours of didactic education and training in CBT principles, depression assessment and cultural competency and 25 hours in dyad role playing of CBT manualized treatment sessions with supervision.

Treatment:

Behavioral: Traditional Training

ITS based training

Experimental group

Description:

Traditional training plus the addition of an algorithmic based training computer program that trains clinicians in clinical micro-competencies.

Treatment:

Behavioral: ITS based training