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JAMA Forum
ܲܲ11, 2022

Mandated Implicit Bias Training for Health Professionals—A Step Toward Equity in Health Care

Author Affiliations
  • 1Johns Hopkins Center for Health Equity, Johns Hopkins University, Baltimore, Maryland
  • 2Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
  • 3Institute for Equity and Inclusion Sciences, Diversity Science, Clackamas, Oregon
JAMA Health Forum. 2022;3(8):e223250. doi:10.1001/jamahealthforum.2022.3250

Almost 30 years ago, an Institute of Medicine report1 documented racial disparities in health care and suggested that many disparities might be due to clinician bias (or prejudice) against patients from racially and ethnically minoritized groups and stereotypes about the behavior or health of patients in these groups. Although most clinicians report egalitarian beliefs, bias against racial minority and other socially disadvantaged groups is typically unconscious and reflects implicit, rather than explicit, attitudes. Studies over the past 20 years document that clinicians’ implicit biases affect their interpersonal interactions and clinical decision-making and are an important contributor to racial inequities in care throughout the clinical continuum, from screening through end-of-life care.2,3

Training programs have arisen to address the negative effects of implicit bias, and , , , , and recently passed legislation mandating implicit bias training for at least some categories of health professionals. Other states have bills in various stages of the legislative process. Legally mandating such training sends a powerful message: that equity in health and health care matters; that those negatively affected by bias are important and deserve respect, care, and dignity; and that health care organizations and personnel are accountable for ensuring equitable care.

Training mandates help bring conversations about inequity and bias into the mainstream. As such, the current laws are an important step in the right direction. However, substantial gaps and opportunities remain for strengthening the effect of this legislation to ensure that the time and resources required for widespread training are being used to achieve the goals of reducing bias and promoting equitable care.

Focusing Training on Specific Clinical Areas and Populations

Tragic racial inequities in maternal and infant morbidity and mortality4,5 helped catalyze many of the current laws mandating implicit bias training, so it is no surprise that equity of perinatal care is the most consistent focus of training across states. Other states have created policies requiring general implicit bias training for all health professionals.

Although there may be logistical advantages to a one-size-fits-all approach to such training, they are likely outweighed by the benefits of training tailored to specific clinical areas and populations. Because implicit bias operates differently across stigmatized groups (eg, Black women vs transgender men),6 a generic focus may dilute the effects of implicit bias training. By focusing on specific clinical issues and populations, programs can target areas where inequities are most concerning or where bias is most prevalent. Targeted training also makes it easier for evaluators to test the effectiveness of training mandates by measuring changes in specific quality or outcome metrics across specific populations. In addition, training that targets clinical topics and populations relevant to the clinicians engaged in the training will increase salience and buy-in. We therefore recommend that states develop portfolios of training options focused on specific health problems and populations and define the types of implicit biases (and stereotypes) to be addressed.

Advancing the Evidence Base on Effective Elements of Implicit Bias Training

Some state legislation requires implicit bias training to be based on empirical evidence and approved by an accrediting organization. However, the evidence for the effectiveness of implicit bias training is nascent, and reducing biases and their effects is not a simple endeavor. Recent literature reviews suggest that many interventions have no effect or may even worsen implicit biases7 which, paradoxically, tends to occur when people are told to avoid stereotyping.8

Many programs use the Implicit Association Test (IAT) as a precursor to enhance understanding about how cognitive processes work and to promote self-awareness of learners’ own implicit biases. However, poorly guided use of the IAT may lead to greater interracial anxiety among individuals discovering their own biases for the first time or among those discounting IAT results because they do not match their explicit egalitarian values.9 Due to controversies in the existing evidence, current training programs vary in their learning objectives, content areas, frequency or length of training, and methods to achieve their stated objectives—and as a result, vary widely in their effectiveness. In addition to being wasteful, ineffective training may also be harmful if it gives learners and institutions a false sense of confidence in training that has had no benefit.

Evidence suggests that training based on social psychology that includes specific curricular elements—perspective taking, building partnerships (or shared in-group identities), and emotional regulation (eg, mindfulness-based stress reduction)—tends to be most effective,7 and these elements should be incorporated into approved training programs. Given that evidence is evolving, however, we also recommend that states assemble expert panels or governance boards to develop quality standards and outcome measures for these programs (eg, clinician behaviors, quality of care measures, patient-reported experiences, and health outcomes) and oversee their evaluation (including assessment of the durability of intervention effects). Such evaluations can take advantage of the natural experiment offered by state training mandates, to further the evidence base about what constitutes effective vs ineffective training.

Establishing Qualifications for Trainers

Governance boards (working with experts) serving as credentialing organizations also should specify minimum qualifications of the training developers, trainers, and facilitators. Most mandated training policies do not specify required qualifications for implicit bias trainers, and it is not clear whether most of the implicit bias courses currently offered are led by people with the background, training, or experiences needed to handle emotionally charged and complex issues that arise during such training. Ineffective training wastes resources and time, crowding out effective approaches. Diversity, equity, and inclusion programs (including antibias training) by increasing anxiety and avoidance among participants; however, enhancing participant engagement in solutions, increasing intergroup contact, and promoting social accountability can help to overcome these barriers. Trainers should be knowledgeable about the potential unintended consequences of such training and how to prevent it.

Funding Mandated Training

Inequities in access to training may be an issue for organizations with fewer resources, many of which serve patients in groups at greatest risk of experiencing bias in health care. Current policies do not address the potential financial barriers that health professionals in organizations with fewer resources, and those who are frontline workers, may face in meeting the training requirement. Fortunately, some state and nonprofit have provided funding for programs. Other states with mandated implicit bias training for health care personnel should provide funding for developing programs as well as free or low-cost access for health personnel in certain categories.

Mandated implicit bias training for health professionals sends a powerful message about the importance of equity in US society, respect for persons regardless of background or social circumstances, and accountability of health care organizations and personnel for advancing equity. To strengthen the effects of legislative mandates, health system leaders and policy makers should focus this training on high-priority clinical areas and populations, collaborate with researchers and educators to enhance the evidence base on its effectiveness and establish qualifications for trainers, and cover the costs of training for practices and systems with limited resources. Implicit bias training for health professionals is 1 step forward on the long journey to equity in health care. This training must be accompanied by broader structural changes2,10 to address discrimination—within and outside health care—if society is to realize the vision of equity in health and health care.

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Article Information

Published: August 11, 2022. doi:10.1001/jamahealthforum.2022.3250

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2022 Cooper LA et al. JAMA Health Forum.

Corresponding Author: Lisa A. Cooper, MD, MPH, Johns Hopkins University School of Medicine, 733 N Broadway, Baltimore, MD 21205 (lisa.cooper@jhmi.edu).

Conflict of Interest Disclosures: None reported.

References
1.
Institute of Medicine; Committee on Understanding and Eliminating Racial and Ethnic Disparities in Health Care. Smedley BD, Stith AY, Nelson AR, eds. Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care. National Academies Press; 2003.
2.
FitzGerald C, Hurst S. Implicit bias in healthcare professionals: a systematic review. BMC Med Ethics. 2017;18(1):19. doi:
3.
Vela MB, Erondu AI, Smith NA, Peek ME, Woodruff JN, Chin MH. Eliminating explicit and implicit biases in health care: evidence and research needs. Annu Rev Public Health. 2022;43:477-501. doi:
4.
Petersen EE, Davis NL, Goodman D, et al. Racial/ethnic disparities in pregnancy-related deaths—United States, 2007–2016. MMWR Morb Mortal Wkly Rep. 2019;68(35):762-765. doi:
5.
Singh GK, Yu SM. Infant mortality in the United States, 1915-2017: large social inequalities have persisted for over a century. Int J MCH AIDS. 2019;8(1):19-31. doi:
6.
Holroyd J, Sweetman J. The heterogeneity of implicit bias. In: Brownstein M, Saul J, eds. Implicit Bias and Philosophy, Volume 1: Metaphysics and Epistemology. Oxford University Press; 2016: 80-103. doi:
7.
FitzGerald C, Martin A, Berner D, Hurst S. Interventions designed to reduce implicit prejudices and implicit stereotypes in real world contexts: a systematic review. BMC Psychol. 2019;7(1):29. doi:
8.
Payne BK, Lambert AJ, Jacoby LL. Best laid plans: effects of goals on accessibility bias and cognitive control in race-based misperceptions of weapons. J Exp Soc Psychol. 2002;38(4):384-396. doi:
9.
van Ryn M, Saha S. Exploring unconscious bias in disparities research and medical education. Ѵ. 2011;306(9):995-996. doi:
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Williams DR, Cooper LA. Reducing racial inequities in health: using what we already know to take action. Int J Environ Res Public Health. 2019;16(4):606. doi:
2 Comments for this article
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Strong Evidentiary Support Should Be in Place Before Mandating Implicit Bias Reduction Training Programs
Hal Arkes, Ph.D. | Ohio State University, Harding Institute for Risk Literacy
Cooper et al. advocate mandatory implicit bias reduction training as a step toward equity in health care. For 3 reasons I suggest that it would be premature and possibly counterproductive to mandate such training at the current time.

First, Cooper et al. come to the conclusion that “ . . . many interventions [to reduce implicit bias] have no effect or may even worsen implicit biases.” Other reviewers concur: “ . . . currently the evidence does not indicate a clear path to follow in bias reduction” (1,p. 9). Given these conclusions I suggest that mandating
any of the current unproven implicit bias training programs is inadvisable.

Given their unproven benefit, why are such programs proliferating? As Vela and colleagues point out (2), many programs use before-after tests of awareness of implicit bias. After an implicit bias training session, persons’ answers on a test reveal that they know more about implicit bias than they did before the training session. Clinicians have known for generations that mere awareness of a bias does not comprise a solution to the bias (3).

The second reason is that most of the programs, their evaluation, and accompanying research are predicated on the results of the Implicit Association Test (4) (IAT) which has been the target of serious controversy. Some of the criticism has been aimed at the inferior psychometric properties of the IAT, reliability of which is approximately 0.5 (5), far below the professional standard of 0.7 or 0.8. With regard to the validity of the IAT, in a meta-analysis the amount of variance in various outcomes that is accounted for by the IAT was only 2% (6). Because “pro-White” scores on the IAT are often the definition of being biased, these weak psychometric properties call into question the appropriateness of this definition of implicit bias.

The third reason is that the research purportedly supporting the benefits of such training has been deficient. For example, many such studies lacked control groups, had no longitudinal follow-up, were not performed in real-world clinical settings, and even lacked statistical analyses (2).

The current state of affairs is summarized in this manner(2, p. 493): “. . . no study demonstrated that an intervention improved clinical outcomes, the learning environment, interprofessional team dynamics, patient care, health disparities, patient satisfaction, or satisfaction of health professionals.”

Before any implicit bias reduction programs are instituted, I respectfully suggest that a very solid evidentiary base be in place.  

References

1. FitzGerald C, Martin A, Berner D, Hurst S. Interventions designed to reduce implicit prejudices and implicit stereotypes in real world contexts: A systematic review. BMC Psychology. 2019;7:29.

2.Vela M, Erondu A, Smith N, Peek M, Woodruff J, Chin M. Eliminating explicit and implicit biases in health care: Evidence and research needs. Annual Review of Public Health. 2022;43:477-501.

3.Wiggins, J. Clinical and statistical prediction: Where do we go from here? Clinical Psychology Review. 1981:1:3-18.

4.Greenwald A, McGhee D, Schwartz J. Measuring individual differences in implicit cognition: The The Implicit Association Test. Journal of Personality and Social Psychology. 1998;74:1464-1480.

5. Blanton H, Jaccard J. Unconscious racism: concept in pursuit of a measure. Annual Review of Sociology. 2008;34:277-297.

6.Oswald F, Mitchell G., Blanton H, Jaccard J, Tetlock, P. Predicting ethnic and and racial discrimination: A meta-analysis of IAT criterion studies. Journal of Personality and Social Psychology. 2013;105(2):171-192.

CONFLICT OF INTEREST: None Reported
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Beyond Implicit Bias Training: A New Vision for Health Equity in Clinical Practice
Charles Sanky, MD, MPH and Jacob M. Appel, MD, JD, MPH | Icahn School of Medicine at Mount Sinai
As medical educators and health equity researchers, we read with great interest the article by Cooper, Saha, and van Ryn. They assert the central role of mandatory implicit bias training (IBT) in achieving health equity.

While we share the authors’ ultimate goals, eradicating bias should be evidence-based rather than merely symbolic. IBT’s implementation varies significantly in form, focus and frequency, and research has not yet validated the efficacy of IBT for mitigating health inequities (1). Instead, IBT may result in apathy, intergroup anxiety, and even tangible damage - diminishing, rather than empowering, the voices of individuals from historically marginalized
groups (2). The underpinnings of inequity are deep and structural; believing a brief session will significantly move the needle may prove naïve and disconnected from the realities of healthcare delivery.

Rather than imposing symbolic interventions, healthcare institutions should implement what works. All-too-familiar lectures on bias and microaggressions do not necessarily allow for workers to experience and reflect upon their approaches, nor do they allow the space to practice health equity-aligned behaviors in psychologically and professionally safe ways. We agree that healthcare workers hold “egalitarian beliefs;” yet training deficits reflect a need for interventions offering historical context of oppression and actionable tools for interceding when health injustice is witnessed (3). Antiracist medical education, simulation/improvisation, and community-grounded interventions can anchor health equity in practical, applicable behaviors.

IBT risks not merely cultivating personal awareness of bias, but placing the onus of responsibility for health inequities on individuals instead of healthcare systems. In this moment of unprecedented workforce attrition and burnout (4), placing the moral burden solely upon our workforce is counterproductive. Individual healthcare worker biases surely play a role in inequities, yet clinical practices, policies, and workflows integrate and perpetuate bias at every step.

At the organizational level, IBT risks generating false assurance about our capacity to fight bias - allowing us to check boxes instead of addressing root causes. Healthcare power brokers prefer symbolic efforts because they do not demand the same costs as systemic change. Mandating a non-evidence-based-intervention cannot be a distraction from—nor a substitute for—the deep architectural changes needed to make healthcare equitable.

The inequities we see in clinical care are informed by personal biases but perpetuated by systems structurally designed to do so. Our silver bullet to fighting structural health equity cannot be mandating individual focused IBT. Rather, we must tackle inequitable systems which perpetuate the unjust treatment of historically underserved populations.

References

1) Vela MB, et al. Eliminating explicit and implicit biases in health care: evidence and research needs. Ann Rev Public Health. 2022;43:477-501.

2) FitzGerald C, Martin A, Berner D, Hurst S. Interventions designed to reduce implicit prejudices and implicit stereotypes in real world contexts: a systematic review. BMC Psychol. 2019;7(1):29.

3) Sanky C, Bai H, He C, Appel JM. Medical students' knowledge of race-related history reveals areas for improvement in achieving health equity. BMC Med Educ. 2022;22(1):612.

4) Bureau of Labor Statistics, U.S. Department of Labor. The Employment Situation – July 2022. USDL-22-1585.

CONFLICT OF INTEREST: None Reported
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