Abstract
Major Depressive Disorder (MDD) and Posttraumatic Stress Disorder (PTSD) are highly prevalent illnesses, but the literature suggests they are under-detected and suboptimally managed by primary care practitioners (PCPs). In this paper, we propose and use an evaluation method, using digitally simulated patients (avatars) to evaluate the diagnostic and therapeutic reasoning of PCPs and compared it to the traditional use of paper-based cases. Verbal (think-aloud) protocols were captured in the context of a diagnostic and therapeutic reasoning task. Propositional and semantic representational analysis of simulation data during evaluation, showed specific deficiencies in PCP reasoning, suggesting a promise of this technology in training and evaluation in mental health. Avatars are flexible and easily modifiable and are also a cost-effective and easy-to-disseminate educational tool.
Original language | English (US) |
---|---|
Pages (from-to) | 1137-1150 |
Number of pages | 14 |
Journal | Journal of Biomedical Informatics |
Volume | 45 |
Issue number | 6 |
DOIs | |
State | Published - Dec 2012 |
Keywords
- Avatar(s)
- Education
- Major Depressive Disorder
- Posttraumatic Stress Disorder
- Primary care
- Simulation
- Training
ASJC Scopus subject areas
- Computer Science Applications
- Health Informatics