Remote Training in Evidence-based Practices for Clinicians Who Work With Migrant Workers
Status: | Recruiting |
---|---|
Conditions: | Depression |
Therapuetic Areas: | Psychiatry / Psychology |
Healthy: | No |
Age Range: | 18 - Any |
Updated: | 10/14/2018 |
Start Date: | June 30, 2018 |
End Date: | August 30, 2020 |
Contact: | Patricia Arean, PhD |
Email: | patji@me.com |
Phone: | 2062218692 |
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.
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.
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.
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.
Inclusion Criteria:
- BA level social work student
- Bilingual Spanish Speaking
Exclusion Criteria:
We found this trial at
1
site
1959 Northeast Pacific Street
Seattle, Washington 98195
Seattle, Washington 98195
Phone: 206-221-8568
Click here to add this to my saved trials