Publication Date
2016-07-29
Availability
Open access
Embargo Period
2016-07-29
Degree Type
Dissertation
Degree Name
Doctor of Philosophy (PHD)
Department
Psychology (Arts and Sciences)
Date of Defense
2016-07-01
First Committee Member
Amanda Jensen-Doss
Second Committee Member
Brian D. Doss
Third Committee Member
Daniel S. Messinger
Fourth Committee Member
Howard A. Liddle
Fifth Committee Member
Jill Ehrenreich May
Abstract
A self-paced online training was created to teach mental health providers how to conduct a high quality, empirically informed suicide risk assessment. The “Tree of Life” training was based on the Decision Tree Model of suicide risk assessment, which is informed by Joiner et al.’s Interpersonal Theory of Suicide (2009). The training was then evaluated through a randomized controlled trial assigning both students and professionals in mental health to either complete the training immediately, or to a waitlist control group. Although participants assigned to train did not have greater improvements in self-efficacy or in attitudes towards computer-based trainings than the control group, the training did have large effects in increasing both their knowledge and their skills in suicide risk assessment (including their ability to rate the severity of individual risk factors for suicide, and to determine overall suicide risk). Potential predictors and moderators of outcomes were examined, but generally failed to predict outcomes or moderate group differences, suggesting that the training was beneficial for a wider range of providers than originally anticipated. Future directions are discussed.
Keywords
suicide assessment; suicide training; online training; computer training; dissemination; interpersonal theory of suicide
Recommended Citation
Duvivier, Leticia, "Technology-Based Training for Evidence-Based Practice" (2016). Open Access Dissertations. 1723.
http://scholarlyrepository.miami.edu/oa_dissertations/1723