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Avatar-based simulation in the evaluation of diagnosis and management of mental health disorders in primary care.

Authors :
Satter, Rachel M.
Cohen, Trevor
Ortiz, Pierina
Kahol, Kanav
Mackenzie, James
Olson, Carol
Johnson, Mina
Patel, Vimla L.
Source :
Journal of Biomedical Informatics; Dec2012, Vol. 45 Issue 6, p1137-1150, 14p
Publication Year :
2012

Abstract

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. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
15320464
Volume :
45
Issue :
6
Database :
Supplemental Index
Journal :
Journal of Biomedical Informatics
Publication Type :
Academic Journal
Accession number :
83451822
Full Text :
https://doi.org/10.1016/j.jbi.2012.07.009