Your browser doesn't support javascript.
loading
ENTRUST: A Serious Game-Based Virtual Patient Platform to Assess Entrustable Professional Activities in Graduate Medical Education.
Lin, Dana T; Melcer, Edward F; Keehl, Oleksandra; Eddington, Hyrum; Trickey, Amber W; Tsai, Jason; Camacho, Fatyma; Merrell, Sylvia Bereknyei; Korndorffer, James; Liebert, Cara A.
Afiliação
  • Lin DT; is Clinical Associate Professor, Department of Surgery, Stanford University School of Medicine.
  • Melcer EF; is Assistant Professor and Director of the Alternative Learning Technologies and Games (ALT Games) Lab, Baskin School of Engineering, University of California, Santa Cruz.
  • Keehl O; is a PhD Student, Baskin School of Engineering, University of California, Santa Cruz.
  • Eddington H; is Data Manager and Data Analyst, Stanford-Surgery Policy Improvement Research and Education Center.
  • Trickey AW; is Senior Biostatistician, Stanford-Surgery Policy Improvement Research and Education Center.
  • Tsai J; is a Master's Student, Baskin School of Engineering, University of California, Santa Cruz.
  • Camacho F; is a Master's Student, Baskin School of Engineering, University of California, Santa Cruz.
  • Merrell SB; is a Research Scholar, Department of Pediatrics, Stanford University School of Medicine.
  • Korndorffer J; is Vice Chair of Education and Associate Professor of Surgery, Department of Surgery, Stanford University School of Medicine.
  • Liebert CA; is Clinical Assistant Professor, Department of Surgery, Stanford University School of Medicine.
J Grad Med Educ ; 15(2): 228-236, 2023 Apr.
Article em En | MEDLINE | ID: mdl-37139206
ABSTRACT

Background:

As entrustable professional activities (EPAs) are implemented in graduate medical education, there is a great need for tools to efficiently and objectively evaluate clinical competence. Readiness for entrustment in surgery requires not only assessment of technical ability, but also the critical skill of clinical decision-making.

Objective:

We report the development of ENTRUST, a serious game-based, virtual patient case creation and simulation platform to assess trainees' decision-making competence. A case scenario and corresponding scoring algorithm for the Inguinal Hernia EPA was iteratively developed and aligned with the description and essential functions outlined by the American Board of Surgery. In this study we report preliminary feasibility data and validity evidence.

Methods:

In January 2021, the case scenario was deployed and piloted on ENTRUST with 19 participants of varying surgical expertise levels to demonstrate proof of concept and initial validity evidence. Total score, preoperative sub-score, and intraoperative sub-score were analyzed by training level and years of medical experience using Spearman rank correlations. Participants completed a Likert scale user acceptance survey (1=strongly agree to 7=strongly disagree).

Results:

Median total score and intraoperative mode sub-score were higher with each progressive level of training (rho=0.79, P<.001 and rho=0.69, P=.001, respectively). There were significant correlations between performance and years of medical experience for total score (rho=0.82, P<.001) and intraoperative sub-scores (rho=0.70, P<.001). Participants reported high levels of platform engagement (mean 2.06) and ease of use (mean 1.88).

Conclusions:

Our study demonstrates feasibility and early validity evidence for ENTRUST as an assessment platform for clinical decision-making.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Internato e Residência Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Grad Med Educ Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Internato e Residência Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Grad Med Educ Ano de publicação: 2023 Tipo de documento: Article