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Journal of Graduate Medical Education logoLink to Journal of Graduate Medical Education
. 2021 Feb 25;13(2):189–194. doi: 10.4300/JGME-D-20-00722.1

Defeating Unconscious Bias: The Role of a Structured, Reflective, and Interactive Workshop

Dotun Ogunyemi 1,
PMCID: PMC8054602  PMID: 33897951

Abstract

Background

Unconscious or implicit biases are universal and detrimental to health care and the learning environment but can be corrected. Historical interventions used the Implicit Association Test (IAT), which may have limitations.

Objective

We determined the efficacy of an implicit bias training without using the IAT.

Methods

From April 2019 to June 2020, a 90-minute educational workshop was attended by students, residents, and faculty. The curriculum included an interactive unconscious biases presentation, videoclips using vignettes to demonstrate workplace impact of unconscious biases with strategies to counter, and reflective group discussions. The evaluation included pre- and postintervention surveys. Participants were shown images of 5 individuals and recorded first impressions regarding trustworthiness and presumed profession to unmask implicit bias.

Results

Of approximately 273 participants, 181 were given the survey, of which 103 (57%) completed it with significant increases from pre- to postintervention assessments for perception scores (28.87 [SEM 0.585] vs 32.73 [0.576], P < .001) and knowledge scores (5.68 [0.191] vs 7.22 [0.157], P < .001). For a White male physician covered in tattoos, only 2% correctly identified him as a physician, and 60% felt he was untrustworthy. For a smiling Black female astronaut, only 13% correctly identified her as an astronaut. For a brooding White male serial killer, 50% found him trustworthy.

Conclusions

An interactive unconscious bias workshop, performed without the use of an IAT, was associated with increases in perceptions and knowledge regarding implicit biases. The findings also confirmed inaccurate first impression stereotypical assumptions based on ethnicity, outward appearances, couture, and media influences.


Objectives

We determined if implicit bias training without using the Implicit Association Test (IAT) is feasible.

Findings

A brief interactive workshop without using IAT can increase knowledge and perceptions of implicit bias and introduce the principle of intersectionality.

Limitations

External generalizability was limited by selection and participation bias.

Bottom Line

A brief interactive implicit bias workshop intervention can be used to train residents, other learners, faculty, and coordinators in the medical education continuum.

Introduction

Unconscious or implicit biases are attitudes or stereotypes that arise from preformed mental associations, which influence our understanding, actions, and decisions in an unconscious manner.1 Unconscious biases are universal and have adverse consequences for the workplace, health care, and the learning environment.24 Studies show that clinicians' negative implicit bias correlated with poorer quality of care, inadequate clinician-patient communication, and health care disparities and inequities.38 Unconscious biases adversely affect faculty recruitment and promotion, including the persistent underrepresentation of Black Americans and other minorities in medicine, further exacerbating racial health care disparities.9,10 Unconscious bias has been shown to be malleable and correctable with training.2,10 Consequently, strategies to mitigate unconscious bias are needed in medical education. Previously reported unconscious bias trainings have revealed that Implicit Association Tests (IAT) are ubiquitous.10 Studies have shown that IATs may induce defensiveness triggering denial of bias and existence of health disparities.11 Critics suggest that instead of reflecting authentic negative attitudes, IAT scores may stem from other associations such as victimization, maltreatment, and oppression.11,12 Authors of the IATs have noted that the tool may not reflect actual biases or acts of discrimination related to identified preferences.4 Subsequently, the objective of this study was to determine: (1) if a brief educational workshop can increase knowledge and perceptions regarding unconscious bias, and (2) show that inaccurate first impressions can be elicited without the IATs.

Methods

This was a retrospective study of an educational workshop presented from April 2019 to June 2020. The workshop was developed from the knowledge gained by the author on completing the Association of American Medical Colleges Healthcare Executive Diversity and Inclusion Certificate (provided as online supplementary data). Kern's 6-step approach for curriculum development was used.12 The conceptual framework utilized was “situated learning-guided participation” in which didactic and interactive activities facilitate independent learning.13

The 90-minute educational workshop included an interactive presentation on unconscious bias. To briefly demonstrate implicit bias, participants were rapidly shown images of 5 individuals in succession and they recorded their first impressions of the persons regarding trustworthiness and presumed profession. This workshop also taught intersectionality, which is a theoretical framework conceptualizing that multiple social categories (eg, race, gender, sexual orientation, poverty) intersect to reflect multiple interlocking systems of privilege and oppression at the social-structural level (eg, racism, sexism, heterosexism).14

The workshop utilized video clips of situational vignettes to demonstrate the impact of unconscious bias. Participants reflected on experiences of unconscious bias and mitigating strategies in small groups (Table 1). The workshop was presented at the 2019 CREOG & APGO Annual Meeting in New Orleans. Subsequently it was presented in multiple voluntary sessions to medical students, residents, and faculty in internal medicine, family medicine, psychiatry, and obstetrics and gynecology departments at California University of Science and Medicine and Arrowhead Regional Medical Center.

Table 1.

Agenda for the Unconscious Bias Reflective and Interactive Workshop

Category Activity Time
1. Presurvey Participants complete a short survey on unconscious biases' perception, attitude, and knowledge. This will provide awareness and baseline for the participants. 10 minutes
2. Unconscious biases presentation Short presentation on unconscious bias, including Stroop effect, neurobiology of unconscious bias, examples of unconscious bias in recruitment, education, and health care; mitigating strategies of counter-stereotypic examples, stereotype replacement, individuation, perspective-taking; FLEX25 principle (F, Focus within; L, Learn from others; E, Engage in dialogue; E, Expand the options); Cook Ross26 model includes (1) get feedback; (2) recognize that you have bias; (3) practice constructive uncertainty; (4) explore awkwardness and discomfort; and (5) engage with those who are different. 30 minutes
3. First impressions Will be shown images of 5 individuals, and participants record their first impressions of the people on trustworthiness and their likely profession. 5 minutes
3. Group activity 1: experiences Participants discuss their perceptions and experience with unconscious bias. 10 minutes
4. Video-based intervention Participants watch a video using realistic vignettes to demonstrate the impact of unconscious bias in the workplace and teach practical and memorable tools participants can use to counter their own unconscious biases. 15 minutes
6. Group activity 2: strategies Participants reflect on strategies and recommendations on unconscious bias scenarios or challenges in self, work, and the community. 10 minutes
7. Postsurvey For wrap-up, the participants complete a short survey to objectively determine any changes in perception from the video-based intervention. 10 minutes

A survey consisting of 9 perception and 11 knowledge questions on implicit bias was assessed for clarity and reliability by content experts and repeat testing. The survey was completed pre- and posteducational workshop to assess short-term learning (provided as online supplementary data). The survey was not offered to the incoming class of 92 medical students because of time constraints of the orientation schedule.

Statistical analysis was performed using SPSS 21.0 (IBM Corp, Armonk, NY). Student's t tests were performed with calculation of 95% confidence interval and odds ratio with a P value of .05 as significant. The first impressions data was tabulated, and percentages of correct responses reported.

The study was approved by the Institutional Review Board of California University of Science and Medicine.

Results

Of approximately 181 participants, 103 (57%) respondents completed the surveys, including 28 (36%) females, 49 (64%) males, and 26 with missing gender. Twenty-three (22%) had previously taken the IATs, while 24 (22%) had previous implicit bias training. There were 61 (59%) physician faculty, 24 (23%) residents, 4 (4%) program coordinators, and 2 (2%) students. Medical specialties included 33 (38%) obstetrics and gynecology, 33 (38%) family medicine, 9 (10%) internal medicine, and 11 (13%) psychiatry. Sixty-three (61%) participants attended workshops in San Bernardino, California, while 40 participated at the APGO conference.

The results of testing for first impressions revealed that for a White male physician community advocate covered in tattoos and dressed in jeans, 2% correctly identified him as a physician. For a smiling Black woman astronaut, 13% correctly identified her as an astronaut. Of a brooding White male serial killer, 50% found him trustworthy. For a Cameroonian attorney, many incorrectly assumed she was Maya Angelou, and thus labeled her a writer (Table 2).

Table 2.

Participants' First Impressions Regarding Trustworthiness and Likely Profession of Images of 5 Individuals Shown in Rapid Succession

True Persona Trust Advocate or Politician Blue-Collar Lawyer Doctor Astronaut Professions Written in by Participants
White male in jeans and a “hipster” pose, physician advocate with tattoos 43 13 70 0 2 0 Tattoo artist, manual labor/construction worker, musician, auto mechanic
Asian female in regal stance, prime minister 72 70 2 43 32 4 Politician, advocate, diplomat
Black female in native African attire, attorney, LGBTQ advocate 74 62 0 30 30 0 Writer, politician
White male, brooding, serial killer 53 30 21 47 36 6 Professor
Black female, smiling, astronaut 81 51 0 47 47 13 Actress

Note: Results are in percentages participants who completed the first impression surveys (N = 91).

There were significant increases from pre- to postintervention assessments for the total perception scores (28.87 [SEM 0.585] vs 32.73 [0.576], P < .001) and total knowledge scores (5.68 [0.191] vs 7.22 [0.157], P < .001). All 9 perception questions including only 4 of the 11 knowledge questions increased significantly after the intervention (Table 3). Significant subgroup differences are reported as online supplementary data.

Table 3.

Preintervention and Postintervention Scores of the Unconscious Bias Workshopa

Variableb Preintervention Score (SE) Postintervention Score (SE) P Value (95% CI)
Total knowledge survey score 5.68 (0.19) 7.22 (0.16) < .001 (5.48–2.24)
Total perception survey score 28.87 (0.59) 32.73 (0.58) < .001 (2.04–1.06)
Perception Questions
1. Unconscious bias toward others 2.49 (0.12) 3.12 (0.12) < .001 (0.30–0.98)
2. Unconscious bias of leaders 3.44 (0.11) 3.77 (0.09) .015 (0.07–0.61)
3. Unconscious bias of peers 3.46 (0.11) 3.81 (0.09) .012 (0.08–0.64)
4. Institutional unconscious bias 2.44 (0.12) 2.89 (0.11) .005 (0.13–0.77)
5. Confident decreasing individual bias 4.06 (0.09) 4.20 (0.08) .026 (0.10–0.37)
6. Confident teaching individual bias 3.33 (0.10) 3.84 (0.09) < .001 (0.24–0.77)
7. Confident decreasing institutional bias 3.29 (0.10) 3.77 (0.09) < .001 (0.21–0.75)
8. Comfort debriefing learners' bias in classroom or patientcare 3.39 (0.11) 3.87 (0.09) .001 (0.20–0.75)
9. Comfort debriefing peers' workplace bias 3.19 (0.11) 3.69 (0.09) .001 (0.20–0.80)
Knowledge Questions
10. First thoughts 0.95 (0.04) 0.96 (0.02) NS
11. Benefits of pausing 0.97 (0.02) 0.98 (0.02) NS
12. Affinity bias 0.19 (0.04) 0.57 (0.05) < .001 (026–0.51)
13. Conformation bias 0.14 (0.04) 0.30 (0.05) .006 (0.05–0.28)
14. Common ground 0.64 (0.05) 0.70 (0.05) NS
15. Conformity bias 0.56 (0.05) 0.73 (0.05) .015 (0.03–0.31)
16. Unconscious bias is universal 0.96 (0.02) 0.99 (0.01) NS
17. Fear and out-group response 0.68 (0.05) 0.90 (0.03) < .001 (0.11–0.34)
18. Implicit bias facts 0.35 (0.05) 0.47 (0.05) NS
19. Committee decision-making 0.42 (0.05) 0.49 (0.05) NS
20. Cook Ross model 0.16 (0.04) 0.27 (0.05) NS

Abbreviation: NS, non-significant.

a 

103 participants.

b 

A brief synopsis of each perception question and the theme of each knowledge question is listed. The full description of each question can be found as online supplementary data. The total knowledge score is the total of the 11 knowledge questions and the total perception score is the total of the 9 perception questions.

Discussion

This study demonstrates that a 90-minute interactive workshop significantly increased perception and knowledge regarding unconscious bias. Implicit bias may contribute to health care disparities by influencing physician behavior resulting in differences in medical treatment along race, gender, or other characteristics.1,15 Thus curricular activities allowing physicians to become aware of their biases may facilitate the provision of patient-centered care.

This intervention can be utilized for residents, other learners, faculty, and coordinators in the medical education continuum. Furthermore, a literature review of implicit bias training only revealed reports on medical students training with none noted on GME training.1624 This current study adds to the literature by reporting an educational workshop focused on all GME that detected biases in real time without a formal IAT.

In contrast to previous reports that utilized IATs, this study's participants recorded first impressions after brief exposures to images of real individuals with multiple identities that highlighted the principle of intersectionality. For example, a lesbian Black woman in African garb (4 oppressed identities) was not identified as a lawyer, while a young Black female astronaut (3 oppressed identities) was identified as an actress. A White male (2 privileged identities) serial killer was trusted by 50% and identified as a professor, while a tattooed and informally dressed White man (2 privileged and 2 oppressed identities) was not recognized as a doctor. These findings confirmed inaccurate first impression stereotypical assumptions based on ethnicity, outward appearances, couture, and media influences. These findings confirm that biases can be detected without relying on the use of a formal IAT and its limitations.

Limitations of this study included the likelihood of participation bias since approximately 57% of the participants completed the surveys. Selection bias may have occurred since participants self-selected. Ethnic data was not collected. Barriers to implementation include time to identify and train facilitators. Institutions and departments would have to prioritize implicit bias training and provide protected time for both faculty and residents. The workshop is relatively inexpensive, acceptable, and feasible with faculty time commitment as the major cost. The organization and planning of this program would require about 4 hours, and the workshop presentation would require approximately 2 hours to implement.

Conclusions

This study has demonstrated that a brief interactive workshop without using IAT can be implemented to increase knowledge and perceptions of unconscious bias.

Supplementary Material

Footnotes

Funding: The author reports no external funding source for this study.

Conflict of interest: The author declares no competing interests.

The abstract was presented at CREOG and APGO Annual Meeting, New Orleans, Louisiana, February 27–March 2, 2019.

References

  • 1.Chapman EN, Kaatz A, Carnes M. Physicians and implicit bias: how doctors may unwittingly perpetuate health care disparities. J Gen Intern Med. 2013;28(11):1504–1510. doi: 10.1007/s11606-013-2441-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.DiBrito SR, Lopez CM, Jones C, Mathur A. Reducing implicit bias: association of women surgeons #HeForShe Task Force best practice recommendations. J Am Coll Surg. 2019;228(3):303–309. doi: 10.1016/j.jamcollsurg.2018.12.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Hall WJ, Chapman MV, Lee KM, et al. Implicit racial/ethnic bias among health care professionals and its influence on health care outcomes: a systematic review. Am J Public Health. 2015;105(12):e60–e76. doi: 10.2105/AJPH.2015.30290. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Motzkus C, Wells RJ, Wang X, et al. Pre-clinical medical student reflections on implicit bias: implications for learning and teaching. PLoS One. 2019;14(11):e0225058. doi: 10.1371/journal.pone.0225058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Dovidio JF, Fiske ST. Under the radar: how unexamined biases in decision-making processes in clinical interactions can contribute to health care disparities. Am J Public Health. 2012;102(5):945–952. doi: 10.2105/AJPH.2011.300601. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.FitzGerald C, Hurst S. Implicit bias in healthcare professionals: a systematic review. BMC Med Ethics. 2017;18(1):19. doi: 10.1186/s12910-017-0179-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Blair IV, Steiner JF, Fairclough DL, et al. Clinicians' implicit ethnic/racial bias and perceptions of care among black and Latino patients. Ann Fam Med. 2013;11(1):43–52. doi: 10.1370/afm.1442. doi:10/1370/afm.1442. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Dehon E, Weiss N, Jones J, Faulconer W, Hinton E, Sterling S. A systematic review of the impact of physician implicit racial bias on clinical decision making. Acad Emerg Med. 2017;24(8):895–904. doi: 10.1111/acem.13214. [DOI] [PubMed] [Google Scholar]
  • 9.Association of American Medical Colleges. Diversity in Medicine Facts and Figures 2019. 2021 https://www.aamc.org/data-reports/workforce/report/diversity-medicine-facts-and-figures-2019 Accessed January 15.
  • 10.Capers Q, Clinchot D, McDougle L, Greenwald AG. Implicit racial bias in medical school admissions. Acad Med. 2017;92(3):365–369. doi: 10.1097/ACM.0000000000001388. [DOI] [PubMed] [Google Scholar]
  • 11.Zestcott CA, Blair IV, Stone J. Examining the presence, consequences, and reduction of implicit bias in health care: a narrative review. Group Process Intergroup Relat. 2016;19(4):528–542. doi: 10.1177/1368430216642029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Sweet L, Palazzi D. Application of Kern's six-step approach to curriculum development by global health residents. Educ Health (Abingdon) 2015;28(2):138–141. doi: 10.4103/1357-6283.170124. [DOI] [PubMed] [Google Scholar]
  • 13.Zackoff MW, Real FJ, Abramson EL, Li ST, Klein MD, Gusic ME. Enhancing educational scholarship through conceptual frameworks: a challenge and roadmap for medical educators. Acad Pediatr. 2019;19(2):135–141. doi: 10.1016/j.acap.2018.08.003. [DOI] [PubMed] [Google Scholar]
  • 14.Bowleg L. The problem with the phrase women and minorities: intersectionality-an important theoretical framework for public health. Am J Public Health. 2012;102(7):1267–1273. doi: 10.2105/AJPH.2012.300750. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Green AR, Carney DR, Pallin DJ, et al. Implicit bias among physicians and its prediction of thrombolysis decisions for black and white patients. J Gen Intern Med. 2007;22(9):1231–1238. doi: 10.1007/s11606-007-0258-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Vela MB, Kim KE, Tang H, Chin MH. Innovative health care disparities curriculum for incoming medical students. J Gen Intern Med. 2008;23(7):1028–1032. doi: 10.1007/s11606-008-0584-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Kumagai AK, Lypson ML. Beyond cultural competence: critical consciousness, social justice, and multicultural education. Acad Med. 2009;84(6):782–787. doi: 10.1097/ACM.0b013e3181a42398. [DOI] [PubMed] [Google Scholar]
  • 18.Teal CR, Shada RE, Gill AC, et al. When best intentions aren't enough: helping medical students develop strategies for managing bias about patients. J Gen Intern Med. 2010;25(suppl 2):115–118. doi: 10.1007/s11606-009-1243-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Gonzalez CM, Kim MY, Marantz PR. Implicit bias and its relation to health disparities: a teaching program and survey of medical students. Teach Learn Med. 2014;26(1):64–71. doi: 10.1080/10401334.2013.857341. [DOI] [PubMed] [Google Scholar]
  • 20.Gonzalez CM, Fox AD, Marantz PR. The evolution of an elective in health disparities and advocacy: description of instructional strategies and program evaluation. Acad Med. 2015;90(12):1636–1640. doi: 10.1097/ACM.0000000000000850. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Coria A, McKelvey TG, Charlton P, Woodworth M, Lahey T. The design of a medical school social justice curriculum. Acad Med. 2013;88(10):1442–1449. doi: 10.1097/ACM.0b013e3182a325be. [DOI] [PubMed] [Google Scholar]
  • 22.Hernandez RA, Haidet P, Gill AC, Teal CR. Fostering students' reflection about bias in healthcare: cognitive dissonance and the role of personal and normative standards. Med Teach. 2013;35(4):e1082–e1089. doi: 10.3109/0142159X.2012.733453. [DOI] [PubMed] [Google Scholar]
  • 23.Gill A, Thompson B, Teal C, Shada R, Fruge E. Best intentions: using the implicit associations test to promote reflection about personal bias. MedEdPORTAL. 2021 https://www.mededportal.org/doi/10.15766/mep_2374-8265.7792 Accessed January 15.
  • 24.Haider A, Sexton J, Sriram N, et al. Association of unconscious race and social class bias with vignette-based clinical assessments by medical students. JAMA. 2011;306(9):942–951. doi: 10.1001/jama.2011.1248. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Interactive Business Inclusion Solutions. HR as Strategic Diversity Partners. 2021 http://www.ibisconsultinggroup.com/insight/hr-as-strategic-diversity-partners/#:∼:text=Unconscious%20Biases%20are%20pervasive%20in, unaware%20of%20their%20unconscious%20biases.&text=The%20FLEX%20Model%2C%20developed%20by, address%20biases%20and%20promote%20inclusion Accessed January 15.
  • 26.Cook Ross. Everyday Bias Further Explorations into How the Unconscious Mind Shapes Our World at Work. 2021 http://www.cookross.com/docs/everyday_bias.pdf Accessed January 15.

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