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Beyond Multiple Choice: Clinical Simulation As a Rigorous and Inclusive Method for Assessing Genetic Counseling Competencies

Overview
Journal J Genet Couns
Publisher Wiley
Specialty Genetics
Date 2024 Feb 14
PMID 38351603
Authors
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Abstract

Educational use of clinical simulation is a way for students to immerse themselves within a realistic yet safe and structured environment as they practice clinical skills. It is widely used in healthcare training and evaluation, and there are best practices for design, implementation, debriefing, and assessment. An increasing number of genetic counseling graduate programs use simulation in various ways, ranging from role-plays to working with professional simulated/standardized patient (SP) actors. At this time, there is very little consistency across programs, research on the approaches, and standards by which simulation is incorporated into training. Simulation is an understudied but promising approach for genetic counselor (GC) education and assessment. After graduation, GCs demonstrate their competence as entry-level providers through American Board of Genetic Counseling (ABGC) multiple-choice examination (MCE), along with their participatory clinical encounters from graduate training. Data from genetic counseling and other professions highlight the limitations and biases of MCEs, suggesting they not only fail to accurately capture competency, but also that they disadvantage underrepresented individuals from entering the field. In addition, MCEs are limited as a tool for assessing nuanced counseling and communication skills, as compared to more quantitative scientific knowledge. We propose that innovative, evidence-based approaches such as simulation have the potential to not only enhance learning, but also to allow GCs to better demonstrate competency during training and in relation to the board examination. Collaborative approaches, research, and funding are needed to further explore the viability of routinely incorporating simulation into GC training and assessment.

References
1.
Motola I, Devine L, Chung H, Sullivan J, Issenberg S . Simulation in healthcare education: a best evidence practical guide. AMEE Guide No. 82. Med Teach. 2013; 35(10):e1511-30. DOI: 10.3109/0142159X.2013.818632. View

2.
Sharpless B . Are demographic Variables Associated with Performance on the Examination for Professional Practice in Psychology (EPPP)?. J Psychol. 2018; 153(2):161-172. DOI: 10.1080/00223980.2018.1504739. View

3.
Rubright J, Jodoin M, Barone M . Examining Demographics, Prior Academic Performance, and United States Medical Licensing Examination Scores. Acad Med. 2018; 94(3):364-370. DOI: 10.1097/ACM.0000000000002366. View

4.
Bennett S, Rodger S, Fitzgerald C, Gibson L . Simulation in Occupational Therapy Curricula: A literature review. Aust Occup Ther J. 2017; 64(4):314-327. DOI: 10.1111/1440-1630.12372. View

5.
Kohrt B, Jordans M, Rai S, Shrestha P, Luitel N, Ramaiya M . Therapist competence in global mental health: Development of the ENhancing Assessment of Common Therapeutic factors (ENACT) rating scale. Behav Res Ther. 2015; 69:11-21. PMC: 4686771. DOI: 10.1016/j.brat.2015.03.009. View