Literature DB >> 29140915

The Actual Versus Idealized Self: Exploring Responses to Feedback About Implicit Bias in Health Professionals.

Javeed Sukhera1, Alexandra Milne, Pim W Teunissen, Lorelei Lingard, Chris Watling.   

Abstract

PURPOSE: Implicit bias can adversely affect health disparities. The implicit association test (IAT) is a prompt to stimulate reflection; however, feedback about bias may trigger emotions that reduce the effectiveness of feedback interventions. Exploring how individuals process feedback about implicit bias may inform bias recognition and management curricula. The authors sought to explore how health professionals perceive the influence of the experience of taking the IAT and receiving their results.
METHOD: Using constructivist grounded theory methodology, the authors conducted semistructured interviews with 21 pediatric physicians and nurses at the Schulich School of Medicine and Dentistry, Western University, Ontario, Canada, from September 2015 to November 2016 after they completed the mental illness IAT and received their result. Data were analyzed using constant comparative procedures to work toward axial coding and development of an explanatory theory.
RESULTS: When provided feedback about their implicit attitudes, participants described tensions between acceptance and justification, and between how IAT results relate to idealized and actual personal and professional identity. Participants acknowledged desire for change while accepting that change is difficult. Most participants described the experience of taking the IAT and receiving their result as positive, neutral, or interesting.
CONCLUSIONS: These findings contribute to emerging understandings of the relationship between emotions and feedback and may offer potential mediators to reconcile feedback that reveals discrepancies between an individual's actual and idealized identities. These results suggest that reflection informed by tensions between actual and aspirational aspects of professional identity may hold potential for implicit bias recognition and management curricula.

Entities:  

Mesh:

Year:  2018        PMID: 29140915     DOI: 10.1097/ACM.0000000000002006

Source DB:  PubMed          Journal:  Acad Med        ISSN: 1040-2446            Impact factor:   6.893


  10 in total

1.  The Impact of Implicit Biases in Pharmacy Education.

Authors:  Lalita Prasad-Reddy; Paul Fina; Daniel Kerner; Bianca Daisy-Bell
Journal:  Am J Pharm Educ       Date:  2021-03-03       Impact factor: 2.047

2.  Educating Health Professions Educators to Address the "isms".

Authors:  Kennita R Carter; Sandra Crewe; Mildred C Joyner; Angelo McClain; Carl J Sheperis; Stephanie Townsell
Journal:  NAM Perspect       Date:  2020-08-31

3.  Twelve tips for teaching implicit bias recognition and management.

Authors:  Cristina M Gonzalez; Monica L Lypson; Javeed Sukhera
Journal:  Med Teach       Date:  2021-02-08       Impact factor: 3.650

4.  Qualitative analysis of medical student reflections on the implicit association test.

Authors:  Cristina M Gonzalez; Yuliana S Noah; Nereida Correa; Heather Archer-Dyer; Jacqueline Weingarten-Arams; Javeed Sukhera
Journal:  Med Educ       Date:  2021-02-24       Impact factor: 7.647

Review 5.  Emotion as reflexive practice: A new discourse for feedback practice and research.

Authors:  Rola Ajjawi; Rebecca E Olson; Nancy McNaughton
Journal:  Med Educ       Date:  2021-11-25       Impact factor: 7.647

6.  Breaking microaggressions without breaking ourselves.

Authors:  Javeed Sukhera
Journal:  Perspect Med Educ       Date:  2019-05-28

Review 7.  The Implicit Association Test in health professions education: A meta-narrative review.

Authors:  Javeed Sukhera; Michael Wodzinski; Maham Rehman; Cristina M Gonzalez
Journal:  Perspect Med Educ       Date:  2019-10

8.  Pre-clinical medical student reflections on implicit bias: Implications for learning and teaching.

Authors:  Christine Motzkus; Racquel J Wells; Xingyue Wang; Sonia Chimienti; Deborah Plummer; Janice Sabin; Jeroan Allison; Suzanne Cashman
Journal:  PLoS One       Date:  2019-11-15       Impact factor: 3.240

9.  Impact of blinding interviewers to written applications on ranking of Gynecologic Oncology fellowship applicants from groups underrepresented in medicine.

Authors:  Jennifer Haag; Brooke E Sanders; Joseph Walker Keach; Carolyn Lefkowits; Jeanelle Sheeder; Kian Behbakht
Journal:  Gynecol Oncol Rep       Date:  2022-01-26

10.  Leveraging Machine Learning to Understand How Emotions Influence Equity Related Education: Quasi-Experimental Study.

Authors:  Javeed Sukhera; Hasan Ahmed
Journal:  JMIR Med Educ       Date:  2022-03-30
  10 in total

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