Racial Implicit Bias and Communication Among Physicians in a Simulated Environment.

Importance: Racial implicit bias can contribute to health disparities through its negative influence on physician communication with Black patients. Interventions for physicians to address racial implicit bias in their clinical encounters are limited by a lack of high-fidelity (realistic) simulations to provide opportunities for skill development and practice. Objective: To describe the development and initial evaluation of a high-fidelity simulation of conditions under which physicians might be influenced by implicit racial bias. Design, Setting, and Participants: This cross-sectional study, performed on an online platform from March 1 to September 30, 2022, recruited a convenience sample of physician volunteers to pilot an educational simulation. Exposures: In the simulation exercise, physicians saw a 52-year-old male standardized patient (SP) (presenting as Black or White) seeking urgent care for epigastric pain, nausea, and vomiting. The case included cognitive stressors common to clinical environments, including clinical ambiguity, stress, time constraints, and interruptions. Physicians explained their diagnosis and treatment plan to the SP, wrote an assessment and management plan, completed surveys, and took the Race Implicit Association Test (IAT) and Race Medical Cooperativeness IAT. The SPs, blinded to the purpose of the study, assessed each physician's communication using skills checklists and global rating scales. Main Outcomes and Measures: Association between physicians' IAT scores and SP race with SP ratings of communication skills. Results: In 60 physicians (23 [38.3%] Asian, 4 [6.7%] Black, 23 [38.3%] White, and 10 [16.7%] other, including Latina/o/x, Middle Eastern, and multiracial; 31 [51.7%] female, 27 [45.0%] male, and 2 [3.3%] other), the interaction of physicians' Race IAT score and SP race was significant for overall communication (mean [SD] ß = -1.29 [0.41]), all subdomains of communication (mean [SD] ß = -1.17 [0.52] to -1.43 [0.59]), and overall global ratings (mean [SD] ß = -1.09 [0.39]). Black SPs rated physicians lower on communication skills for a given pro-White Race IAT score than White SPs; White SP ratings increased as physicians' pro-White bias increased. Conclusions and Relevance: In this cross-sectional study, a high-fidelity simulation calibrated with cognitive stressors common to clinical environments elicited the expected influence of racial implicit bias on physicians' communication skills. The outlined process and preliminary results can inform the development and evaluation of interventions that seek to address racial implicit bias in clinical encounters and improve physician communication with Black patients.

Racial implicit bias: Perspectives of nursing students.

BACKGROUND: Racial implicit bias contributes to healthcare disparities. While research has been conducted on other health professionals, there is a lack of evidence about nursing students' experiences with racial implicit bias. PURPOSE: This study described the perspectives of pre-licensure nursing students regarding racial implicit bias (RIB) and its impact on patient care. METHOD: A qualitative descriptive methodology utilizing focus groups was used to describe the students' perspectives. RESULTS: Data analysis revealed three main themes: RIB may not be on purpose, but wrong is wrong; Bad nurse versus good nurse; and This is not okay. CONCLUSION: As RIB continues to contribute to health care disparities, this study reveals the need for it to be addressed in nursing education, while students prepare to be front line health care professionals.

Implicit Bias in Nursing: Student Reflections.

ABSTRACT: Implicit bias can lead to health disparities related to a patient's race, religion, sexual identity, and mental illness. Students responded to the Implicit Association Test for race followed by a structured reflection. Student reflections were evaluated qualitatively. Results hold a key to future educational interventions/training to help nursing students become consciously aware of implicit biases and choose behaviors that are non-biased.

Implicit Bias Toward Lesbian and Gay Persons Among Nursing Students: A Correlation Study.

AIM: The purpose of this study was to measure implicit bias among nursing students toward lesbian and gay (LG) persons. BACKGROUND: Implicit bias is identified as a contributor to the health disparities experienced by LG persons. This bias has not been studied among nursing students. METHOD: This descriptive, correlation study used the Implicit Association Test to measure implicit bias in a convenience sample of baccalaureate nursing students. Demographic information was collected to identify relevant predictor variables. RESULTS: Implicit bias in this sample ( n = 1,348) favored straight persons over LG persons ( D -score = 0.22). Participants identifying as male ( B = 0.19), straight ( B = 0.65), other sexuality ( B = 0.33), somewhat ( B = 0.09) or very religious ( B = 0.14), or enrollment in an RN-BSN program ( B = 0.11) predicted stronger bias favoring straight persons. CONCLUSION: Implicit bias toward LG persons among nursing students remains a challenge for educators.

Does it work? Resident selection and implicit bias training for postgraduate program directors.

One element to address health disparities and historical injustices of systemically excluded groups is to examine selection processes. Implicit association testing for selection committees is suggested as one intervention to address bias in selection and is used for Undergraduate Medical Education at the University of Manitoba. Our study demonstrated that implicit bias training for PDs in isolation has minimal impact on addressing bias within resident selection. This training must occur as part of a systemic institutional approach to address bias in resident selection. Programs should consider a multipronged and sustained approach when committing to diversifying postgraduate medical education programs.

Le processus de sélection est un des éléments à revoir pour lutter contre les inégalités en matière de santé et les injustices historiques dont souffrent les populations victimes d'exclusion systémique. Une des mesures suggérées pour contrer le biais de sélection est de soumettre les membres des comités de sélection à des tests d'association implicite. Ils sont utilisés à l'Université du Manitoba au programme d'études médicales de premier cycle. Or, notre étude montre qu'une formation en matière de biais implicites, lorsqu'elle est offerte de manière isolée aux directeurs de programme, a peu d'impact sur l'élimination des préjugés dans la sélection des résidents. Les programmes qui désirent favoriser la diversité doivent envisager une approche multidimensionnelle et soutenue.

Overlooked and Damaging Impact of Structural Racism and Implicit Bias on US Health Care: Overarching Policy Implications.

ABSTRACT: Marginalized populations, including racial and ethnic minorities, have historically faced significant barriers to accessing quality health care because of structural racism and implicit bias. A brief review and analysis of past and historic and current policies demonstrate that structural racism and implicit bias continue to underscore a health system characterized by unequal access and distribution of health care resources. Although advances in cancer care have led to decreased incidence and mortality, not all populations benefit. New policies must explicitly seek to eliminate disparities and drive equity for historically marginalized populations to improve access and outcomes.

Inclusion of Implicit Bias in Health Equity Education Design: A New Mandate for Continuing Education.

The area of implicit bias and health equity training is a renewed focus for health care settings. This article outlines a strategic journey to evaluate the current status and develop a sustainable program that integrates content on implicit bias and health equity into all training and education programs. Partnership with the health system's diversity department, professional development, and the use of innovative technology brought 100% compliance for the 12-month project. [J Contin Educ Nurs. 2023;54(12):551-553.].

Examining Implicit Racial Attitudes among College Students in Hawai'i, a Project of the Hawai'i Implicit Bias Initiative.

For the past 2 decades, investigations into implicit racial bias have increased, building evidence on the impact of bias on health and health care for many minority communities in the US. However, few studies examine the presence and impacts of implicit bias in Hawai'i, a context distinct in its history, racial/ethnic diversity, and contemporary inequities. The absence of measures for major racialized groups, such as Native Hawaiians, Pacific Islanders, and Filipinos, impedes researchers' ability to understand the contribution of implicit bias to the health and social disparities observed in Hawai'i. The purpose of this study was to measure bias toward these underrepresented groups to gain a preliminary understanding of the implicit racial bias within the distinctive context of this minority-majority state. This study measured implicit racial bias among college students in Hawai'i using 3 implicit association tests (IATs): (1) Native Hawaiian compared to White (N = 258), (2) Micronesian comparedto White (N =257), and (3) Filipino compared to Japanese (N = 236). Themean IAT D scores showed implicit biases that favored Native Hawaiiansover Whites, Whites over Micronesians, and Japanese over Filipinos. Multipleregression was conducted for each test with the mean IAT D score as theoutcome variable. The analysis revealed that race was a predictor in the vastmajority of tests. In-group preferences were also observed. This investigationadvances the understanding of racial/ethnic implicit biases in the uniquelydiverse state of Hawai'i and suggests that established social heirarchies mayinfluence implicit racial bias.

Implicit Bias and Patient Care: Mitigating Bias, Preventing Harm.

Introduction: Simulation is a valuable and novel tool in the expanding approach to racism and bias education for medical practitioners. We present a simulation case focused on identifying and addressing the implicit bias of a consultant to teach bias mitigation skills and limit harm to patients and families. Methods: Learners were presented with a case of a classic toddler's fracture in an African American child. The learners interacted with an orthopedic resident who insisted on child welfare involvement, with nonspecific and increasingly biased concerns about the child/family. The learners were expected to identify that this case was not concerning for nonaccidental trauma and that the orthopedic resident was demonstrating bias. They were expected to communicate with both the resident and the parent effectively to defuse the situation and prevent harm from reaching the family. A debrief and an anonymous survey followed the case. Results: Seventy-five learners participated, including pediatric and emergency medicine residents, fellows, attendings, and medical students. After the case, the majority of learners expressed confidence that they could recognize racial bias in the care of a patient (90%), ensure patient care was not influenced by racial bias (88%), and utilize a tool to frame a concern about bias (79%). Discussion: Participants felt that this simulation was relevant and effective and overall left the experience feeling confident in their abilities to identify and manage racially biased patient care. This anti-racist simulation offers an important skill-building opportunity that has been well received by learners.

Unconscious Bias among Health Professionals: A Scoping Review.

BACKGROUND: Unconscious biases are one of the causes of health disparities. Health professionals have prejudices against patients due to their race, gender, or other factors without their conscious knowledge. This review aimed to provide an overview of research on unconscious bias among health professionals and to investigate the biases that exist in different regions of the world, the health professions that are considered, and the research gaps that still exist. METHODS: We conducted a scoping review by systematically searching PubMed/MEDLINE, CINAHL, PsycINFO, PsycARTICLES, and AMED. All records were double-screened and included if they were published between 2011 and 2021. RESULTS: A total of 5186 records were found. After removing duplicates (n = 300), screening titles and abstracts (n = 4210), and full-text screening (n = 695), 87 articles from 81 studies remained. Studies originated from North America (n = 60), Europe (n = 13), and the rest of the world (n = 6), and two studies were of global scope. Racial bias was investigated most frequently (n = 46), followed by gender bias (n = 11), weight bias (n = 10), socio-economic status bias (n = 9), and mental illness bias (n = 7). Most of the studies were conducted by physicians (n = 51) and nurses (n = 20). Other health care professionals were rarely included in these studies. CONCLUSIONS: Most studies show that health professionals have an implicit bias. Racial biases among physicians and nurses in the USA are well confirmed. Research is missing on other biases from other regions and other health professions.

Perspectives of Community Partners Involved in an Academic Training to Address Clinicians' Implicit Bias.

BACKGROUND: Community-academic partnerships are increasingly used in interventions to address health care disparities. Little is known about motivations and perceptions of participating community members. OBJECTIVES: To elicit community members' perspectives of involvement in a community-academic partnership to address implicit bias in health care. METHODS: With our partnering community organizer, we conducted one-on-one semistructured interviews and a follow-up group interview with participating community members to solicit experiences about involvement in an National Institutes of Health-funded clinician training; responses were organized using content analysis. RESULTS: Community members revealed that their participation was motivated by trust in our community organizer; they derived personal pride from participation in clinician training; the power differential between community members and clinicians in the training environment needed to be levelled. Our community organizer noted that the benefits of community-academic partnerships propagate to the larger community via community members' experiences. CONCLUSIONS: Community members note trust, pride, and power as important elements in community-academic partnership.

Implicit Racial Bias Attitudes and Mitigation in Neonatal Nurse Practitioners: A Quality Improvement Project.

PURPOSE: to assess the impact of education using the implicit bias recognition and management (IBRM) teaching approach. DESIGN: longitudinal quasi-experimental design. Surveys at baseline, immediate postimplementation, and 4-week postimplementation using the modified version of the Attitudes Toward Implicit Bias Instrument (ATIBI). The 4-week survey included items about implicit bias recognition and mitigation strategies. SAMPLE: thirty-six neonatal nurse practitioners assigned to the NICU in a Midwest urban children's hospital. RESULTS: one-way repeated-measures analysis of variance was used, and the score range was 16-96. The results showed a statistically significant model, F (1.49, 707.97) = 34.46, p <.001, partial η2 = 0.496. Pairwise comparisons showed improvement from pre (M = 73.08, SD = 9.36) to immediate postimplementation (M = 80.06, SD = 8.19), p <.001. Scores were sustained at 4-week postimplementation (M = 79.28, SD = 10.39), p = .744. CONCLUSIONS: The IBRM teaching approach improved scores from baseline on a modified ATIBI that remained improved 4 weeks after the education.

Gender and caste inequalities in primary healthcare usage by under-5 children in rural Nepal: an iterative qualitative study into provider perspectives and the potential role of implicit bias.

OBJECTIVE: This study explored provider perspectives on: (1) why inequalities in health service usage persist; and (2) their knowledge and understanding of the role of patient experience and implicit bias (also referred to as unconscious bias). DESIGN: A three stage, iterative qualitative study was conducted involving two rounds of in-depth interviews and a training session with healthcare staff. Interview transcripts were analysed using a reflexive thematic approach in relation to the study's aims. SETTING: Participants were recruited from rural hill districts (Mugu, Humla, Bajura, Gorkha and Sindhupalchok) of Nepal. PARTICIPANTS: Clinical staff from 22 rural health posts. RESULTS: Healthcare providers had high levels of understanding of the cultural, educational and socioeconomic factors behind inequalities in healthcare usage in their communities. However, there was less knowledge and understanding of the role of patient experience-and no recognition at all of the concept of implicit bias. CONCLUSION: It is highly likely that implicit bias affects provider behaviours in Nepal, just as it does in other countries. However, there is currently not a culture of thinking about the patient experience and how that might impact on future usage of health services. Implicit bias training for health students and workers would help create greater awareness of unintended discriminatory behaviours. This in turn may play a part in improving patient experience and future healthcare usage, particularly among disadvantaged groups.

Comparing ChatGPT's ability to rate the degree of stereotypes and the consistency of stereotype attribution with those of medical students in New Zealand in developing a similarity rating test: a methodological study.

Learning about one's implicit bias is crucial for improving one's cultural competency and thereby reducing health inequity. To evaluate bias among medical students following a previously developed cultural training program targeting New Zealand Maori, we developed a text-based, self-evaluation tool called the Similarity Rating Test (SRT). The development process of the SRT was resource-intensive, limiting its generalizability and applicability. Here, we explored the potential of ChatGPT, an automated chatbot, to assist in the development process of the SRT by comparing ChatGPT's and students' evaluations of the SRT. Despite results showing non-significant equivalence and difference between ChatGPT's and students' ratings, ChatGPT's ratings were more consistent than students' ratings. The consistency rate was higher for non-stereotypical than for stereotypical statements, regardless of rater type. Further studies are warranted to validate ChatGPT's potential for assisting in SRT development for implementation in medical education and evaluation of ethnic stereotypes and related topics.

Rating the Honesty of White and Black Children via Implicit and Explicit Measures: Implications for Child Victims in the Criminal Justice System.

The present study explored implicit and explicit honesty perceptions of White and Black children and whether these perceptions predicted legal decisions in a child abuse case. Participants consisted of 186 younger and 189 older adults from the online Prolific participant pool. Implicit racial bias was measured via a modified Implicit Association Test and explicit perceptions through self-reports. Participants read a simulated legal case where either a Black or White child alleged physical abuse against their sports coach, and they rated the honesty of the child's testimony and rendered a verdict. Participants were implicitly biased to associate honesty with White children over Black children, and this bias was stronger among older adults. In the legal vignette, for participants who read about a Black child victim, greater implicit racial bias predicted less trust in the child's testimony and a lower likelihood of convicting the coach of abusing the child. In contrast to their implicit bias, participants self-reported Black children as being more honest than White children, suggesting a divergence in racial attitudes across implicit and explicit measures. Implications for child abuse victims are discussed.

Implicit bias toward people with disability: A systematic review and meta-analysis.

PURPOSE: People with disabilities (PWD) experience barriers to accessibility and employment, harming their quality of life. Strategies aimed at reducing disparity for PWD have not changed key statistics such as unemployment rates. Previous research has focused on explicit attitudes, generally found to be positive, prompting investigation into factors such as implicit bias. This systematic review and meta-analysis investigated implicit bias toward PWD and associated factors. METHOD: Forty-six peer-reviewed studies published between January 2000 and April 2020 utilizing the Implicit Association Test were included. Of these, 12 studies met the inclusion criteria for meta-analysis. RESULTS: A significant moderate pooled effect (mean difference = 0.503, 95% CI [0.497-0.509], p < .001) was found, suggesting moderate negative implicit attitudes toward general disability. Negative implicit attitudes were also found toward physical, and intellectual disability. PWD were implicitly stereotyped as incompetent, cold, and "child-like." Findings were inconsistent for factors associated with bias including age, race, sex, and individual differences. Contact with PWD may be associated with implicit bias; however, measures were inconsistent. CONCLUSION: This review has found moderate negative implicit biases toward PWD, however, factors associated with this bias remain unclear. Further research should investigate implicit bias toward specific disability groups and strategies to shift such biases. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Fast thinking: How unconscious bias and binary language contribute to rationing of care to older persons.

BACKGROUND: Binary or categorical thinking is a way of thinking in which the brain unconsciously sorts the masses of information it receives into categories. This helps us to quickly process information and keeps us safe through pattern recognition of possible threats. However, it can also be influenced by unconscious and conscious biases that inform our judgements of other people and situations. OBJECTIVES: To examine nursing practice with older people through the lens of unconscious bias. METHODS: In this critical analysis, using Kahneman's fast and slow thinking, we argue that nurses working with hospitalised older people often rely on thinking quickly in hectic work environments, which can contribute to unconscious and conscious bias, use of binary language to describe older persons and nursing tasks, and ultimately rationing of care. RESULTS: Binary language describes older persons and their care simplistically as nursing tasks. A person is either heavy or light, continent or incontinent, confused or orientated. Although these descriptions are informed in part by nurses' experiences, they also reflect conscious and unconscious biases that nurses hold towards older patients or nursing tasks. We draw on explanations of fast (intuitive) and slow (analytical) to explain how nurses gravitate to thinking fast as a survival mechanism in environments where they are not supported or encouraged to think slow. CONCLUSIONS: Nurses survival efforts in getting through the shift using fast thinking, which can be influenced by unconscious and conscious biases, can lead to use of shortcuts and the rationing of care. We believe that it is of paramount importance that nurses be encouraged and supported to think slowly and analytically in their clinical practice. IMPLICATIONS FOR PRACTICE: Implications Nurses can engage in journaling and reflecting on their practice with older people to examine possible unconscious bias. Managers can support reflective thinking by supporting nurses through staffing models and encouraging conversations about person-centered care in unit practices.

Matters of the Heart: Examining Motivating Factors and Unconscious Bias in the Adult Cardiothoracic Anesthesiology Fellowship.

OBJECTIVES: The purpose of this study was to identify barriers to improving diversity within adult cardiothoracic anesthesiology (ACTA) and to provide possible strategies that could be implemented by evaluating the demographics of current ACTA fellows, examining motivating factors to pursue the sub-specialty, and assessing perceptions of unconscious biases during their application process and training. DESIGN: A survey was created by the authors and distributed electronically by the Society of Cardiovascular Anesthesiologists to the ACTA Fellows from April to June 2022. SETTING: A multicenter survey. PARTICIPANTS: Recent 2021 to 2022 ACTA fellows. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A total of 68 fellows were included in the analytical sample; 37.3% were women, and 58.2% were men. Half of the participants in the sample were White race (47%), 26% were Asian, 8% Hispanic or Latinx, 5% Black, and 2% were Pacific Islander or Native Hawaiian. Most fellows indicated that the complexity of cases and/or competency in transesophageal echocardiography was "very important" in their motivating factor (74.0%). When examining sex differences, female fellows reported (p value <0.05) that their experience was impacted negatively by sex and was more often treated with less respect and courtesy. There were no statistically significant differences in perceived discrimination by race and/or ethnicity. CONCLUSIONS: This study identified several motivators to pursue ACTA and the perceptions of unconscious biases during the fellowship. Female fellows felt unconscious bias and a negative impact against them due to sex. Due to the small number of undergraduate enrollments, the results should be interpreted cautiously. Additionally, this provides support to complete further studies. Implicit bias training is one strategy that can be implemented to decrease unconscious bias experienced by ACTA fellows.