Using Simulation-Based Learning with Standardized Patients (SP) in an Implicit Bias Mitigation Clinician Training Program
Authors
Tjia, JenniferPugnaire, Michele
Calista, Joanne
Eisdorfer, Ethan
Hale, Janet
Terrien, Jill
Valdman, Olga
Potts, Stacy E
Garcia, Maria
Yazdani, Majid
Puerto, Geraldine
Okero, Miriam
Duodu, Vennesa
Sabin, Janice
UMass Chan Affiliations
Family Medicine and Community HealthMedicine
Population and Quantitative Health Sciences
Tan Chingfen Graduate School of Nursing
Document Type
Journal ArticlePublication Date
2023-06-05Keywords
bias mitigationclinician training
community engagement
curriculum
implicit bias
standardized patients
Metadata
Show full item recordAbstract
Objectives: To describe the development and refinement of an implicit bias recognition and management training program for clinical trainees. Methods: In the context of an NIH-funded clinical trial to address healthcare disparities in hypertension management, research and education faculty at an academic medical center used a participatory action research approach to engage local community members to develop and refine a "knowledge, awareness, and skill-building" bias recognition and mitigation program. The program targeted medical residents and Doctor of Nursing Practice students. The content of the two-session training included: didactics about healthcare disparities, racism and implicit bias; implicit association test (IAT) administration to raise awareness of personal implicit bias; skill building for bias-mitigating communication; and case scenarios for skill practice in simulation-based encounters with standardized patients (SPs) from the local community. Results: The initial trial year enrolled n = 65 interprofessional participants. Community partners and SPs who engaged throughout the design and implementation process reported overall positive experiences, but SPs expressed need for greater faculty support during in-person debriefings following simulation encounters to balance power dynamics. Initial year trainee participants reported discomfort with intensive sequencing of in-person didactics, IATs, and SP simulations in each of the two training sessions. In response, authors refined the training program to separate didactic sessions from IAT administration and SP simulations, and to increase safe space, and trainee and SP empowerment. The final program includes more interactive discussions focused on identity, race and ethnicity, and strategies to address local health system challenges related to structural racism. Conclusion: It is possible to develop and implement a bias awareness and mitigation skills training program that uses simulation-based learning with SPs, and to engage with local community members to tailor the content to address the experience of local patient populations. Further research is needed to measure the success and impact of replicating this approach elsewhere.Source
Tjia J, Pugnaire M, Calista J, Eisdorfer E, Hale J, Terrien J, Valdman O, Potts S, Garcia M, Yazdani M, Puerto G, Okero M, Duodu V, Sabin J. Using Simulation-Based Learning with Standardized Patients (SP) in an Implicit Bias Mitigation Clinician Training Program. J Med Educ Curric Dev. 2023 Jun 5;10:23821205231175033. doi: 10.1177/23821205231175033. PMID: 37324051; PMCID: PMC10265320.DOI
10.1177/23821205231175033Permanent Link to this Item
http://hdl.handle.net/20.500.14038/52337PubMed ID
37324051Rights
© The Author(s) 2023. Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).; Attribution-NonCommercial 4.0 InternationalDistribution License
http://creativecommons.org/licenses/by-nc/4.0/ae974a485f413a2113503eed53cd6c53
10.1177/23821205231175033
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Except where otherwise noted, this item's license is described as © The Author(s) 2023. Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0
License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without
further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).