Working… Menu

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

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT03515226
Recruitment Status : Active, not recruiting
First Posted : May 3, 2018
Last Update Posted : August 11, 2020
Information provided by (Responsible Party):
Eugene Aisenberg, University of Washington

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.

Condition or disease Intervention/treatment Phase
Depression Behavioral: ITS based training Behavioral: Traditional Training Not Applicable

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 clinicial 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.

Layout table for study information
Study Type : Interventional  (Clinical Trial)
Estimated Enrollment : 34 participants
Allocation: Randomized
Intervention Model: Parallel Assignment
Intervention Model Description: Randomized clinical trial
Masking: None (Open Label)
Primary Purpose: Health Services Research
Official Title: Remote Training in Evidence-based Practices for Clinicians Who Work With Migrant Workers
Actual Study Start Date : June 30, 2018
Actual Primary Completion Date : June 30, 2020
Estimated Study Completion Date : August 30, 2020

Resource links provided by the National Library of Medicine

Arm Intervention/treatment
Active Comparator: Traditional Training
24 hours of didactic and simulated case role play training in CBT principles, depression assessment and cultural competency.
Behavioral: Traditional Training
Training using didactics and role plays

Experimental: ITS based training
Traditional training plus the addition of an algorithmic based training computer program that trains clinicians in clinical micro-competencies.
Behavioral: ITS based training
Training using computerized adaptive training in addition to role play

Primary Outcome Measures :
  1. Learnability [ Time Frame: difference in number of hours in training between training interventions after 8 weeks of training. ]
    number of hours of training to reach competency using the CBTAS, a 20 item scale to assess clinician competency in CBT

  2. Skill drift [ Time Frame: group difference in hours of feedback clinicians receive over a six month period after being certified in CBT. ]
    number of hours in corrective feedback based on the CBTAS, a 20 item scale that assesses clinician competency in CBT

Secondary Outcome Measures :
  1. Acceptability of Intervention Measure (AIM) [ Time Frame: This measure will be administered to participants in each training group after they complete the 25 hours of training. ]
    This is a four item measure of intervention acceptability, where each item is rated on a 1-5 scale, with 1 = not at all acceptable and 5 = very acceptable. each group will be compared on the degree they find the training they participated in acceptable after they complete training.

  2. User Burden Scale [ Time Frame: administered once after 24-hours of training ]
    The User Burden Scale is a 20-item scale that assesses six domains of user burden: use, physical burden, time/social burdens, mental/emotional burden, privacy concerns and financial burdens. The scale is calculated item measure of perceived burden of use that covers 6 domains: difficulty of use, emotional burden, physical burden, time and social burden, financial burden and privacy. Each item is rated on a 04- scale, with a maximum score of 80 (high burden) and minimum score of 0 (low burden). We will compare the ratings of educational burden between groups to determine if the new training model is considered less burdensome than the traditional training model.

  3. System Usability Scale [ Time Frame: This scale will be administered to participants one time after they have participated in the training programs. once after 24-hours of training ]
    This is a 10-item scale with each item ranked on a five point system of low to high usability. The scale score is calculated by adding the item scores and multiplying by 2.5. A score of 68 or better is considered to be above average usablilty. As score less than 68 s considered to be poor usability. In this study, a score of 80 or more is considered our cut off for high usability. We will compare the two training programs on usability with this scale measure of the usability of a tool, and is consider the industry standard for measuring usability in the UCD field.

Information from the National Library of Medicine

Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.

Layout table for eligibility information
Ages Eligible for Study:   18 Years and older   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes

Inclusion Criteria:

  • BA level social work student
  • Bilingual Spanish Speaking

Exclusion Criteria:

  • none

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its identifier (NCT number): NCT03515226

Layout table for location information
United States, Washington
University of Washington Department of Psychiatry and Behavioral Sciences
Seattle, Washington, United States, 98105
Sponsors and Collaborators
University of Washington
Layout table for investigator information
Principal Investigator: Patricia Arean UWMC Psychiatry
Study Director: Brenna Renn, PhD UWMC Psychiatry
Publications automatically indexed to this study by Identifier (NCT Number):
Layout table for additonal information
Responsible Party: Eugene Aisenberg, Associate Professor, School of Social Work; Adjunct Associate Professor, Health Services, University of Washington Identifier: NCT03515226    
Other Study ID Numbers: STUDY00004268
First Posted: May 3, 2018    Key Record Dates
Last Update Posted: August 11, 2020
Last Verified: August 2020
Individual Participant Data (IPD) Sharing Statement:
Plan to Share IPD: Yes
Plan Description: We will be creating a register of study outcomes for all projects under the UW ALACRITY center that researchers and request permission to access.
Supporting Materials: Study Protocol
Statistical Analysis Plan (SAP)
Informed Consent Form (ICF)
Clinical Study Report (CSR)
Analytic Code
Time Frame: Data for this study will be made available in January of 2021
Access Criteria: Any interested party who wishes to use our data for research or educational purposes may contact Dr. Renn who will review the request and provide access to information requested.

Layout table for additional information
Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No
Keywords provided by Eugene Aisenberg, University of Washington:
workforce development
intelligent tutoring systems
Additional relevant MeSH terms:
Layout table for MeSH terms
Behavioral Symptoms