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

NCT ID: NCT03515226

Last Updated: 2022-07-26

Basic Information

• Recruitment Status: TERMINATED
• Clinical Phase: NA
• Total Enrollment: 25 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2018-06-30
• Study Completion Date: 2020-08-30

Brief Summary

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.

Detailed 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.

Conditions

Depression

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: PARALLEL
• Primary Study Purpose: HEALTH_SERVICES_RESEARCH
• Blinding Strategy: NONE

Study Groups

Traditional Training

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.

Group Type: ACTIVE_COMPARATOR

Traditional Training

Intervention Type: BEHAVIORAL

Training using didactics and role plays

ITS based training

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

Group Type: EXPERIMENTAL

ITS based training

Intervention Type: BEHAVIORAL

Training using computerized adaptive training in addition to role play

Interventions

ITS based training

Training using computerized adaptive training in addition to role play

Intervention Type: BEHAVIORAL

Traditional Training

Training using didactics and role plays

Intervention Type: BEHAVIORAL

Eligibility Criteria

Inclusion Criteria

• BA level social work student
• Bilingual Spanish Speaking

Exclusion Criteria

• none

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

National Institute of Mental Health (NIMH)

NIH

Sponsor Role: collaborator

University of Washington

OTHER

Sponsor Role: lead

Responsible Party

Pat Arean

Professor, Department of Psychiatry & Behavioral Sciences

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Patricia Arean

Role: PRINCIPAL_INVESTIGATOR

UWMC Psychiatry

Brenna Renn, PhD

Role: STUDY_DIRECTOR

UWMC Psychiatry

Locations

University of Washington Department of Psychiatry and Behavioral Sciences

Seattle, Washington, United States

Countries

United States

References

Lyon AR, Munson SA, Renn BN, Atkins DC, Pullmann MD, Friedman E, Arean PA. Use of Human-Centered Design to Improve Implementation of Evidence-Based Psychotherapies in Low-Resource Communities: Protocol for Studies Applying a Framework to Assess Usability . JMIR Res Protoc. 2019 Oct 9;8(10):e14990. doi: 10.2196/14990.

Reference Type: DERIVED

PMID: 31599736 (View on PubMed)

Provided Documents

Document Type: Study Protocol and Statistical Analysis Plan

View Document

Document Type: Informed Consent Form

View Document

Other Identifiers

1P50MH115837-01

Identifier Type: NIH

Identifier Source: secondary_id

View Link

STUDY00004268

Identifier Type: -

Identifier Source: org_study_id