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An exploratory qualitative study of pharmacy student perspectives of implicit bias in pharmacy practice
Abstract
Introduction:
Implicit biases can contribute to unfair treatment in healthcare and exacerbate healthcare disparities. Little is known about the implicit biases that exist within pharmacy practice and their behavioral manifestations. The purpose of this study was to explore pharmacy student perspectives about implicit bias in pharmacy practice.
Methods:
Sixty-two second-year pharmacy students attended a lecture on implicit bias in healthcare and engaged in an assignment designed to explore their thoughts about how implicit bias manifests or may manifest within pharmacy practice. Students' qualitative responses were content analyzed.
Results:
Students reported several examples in which implicit bias may emerge in pharmacy practice. Various forms of potential bias were identified including bias associated with patients' race, ethnicity, and culture, insurance/financial status, weight, age, religion, physical appearance and language, lesbian, gay, bisexual, transgender, queer/questioning and gender identity, and prescriptions filled. Students identified several potential implications of implicit bias in pharmacy practice including unwelcoming non-verbal behavior on the part of providers, differences in time devoted to interacting with patients, differences in empathy and respect, inadequate counseling, and (un)willingness to provide services. Students also identified factors that could precipitate biased behaviors such as fatigue, stress, burnout, and multiple demands.
Conclusions:
Pharmacy students believed that implicit biases manifested in many different ways and were potentially associated with behaviors that resulted in unequal treatment in pharmacy practice. Future studies should explore the effectiveness of implicit bias trainings on reducing the behavioral implications of bias in pharmacy practice.
... In pharmacy education, existing literature reports the inclusion of DEI elements, including social identities within patient diversity into curriculum through case presentations, integration of health disparities and cultural competency training, and emphasis on gender in patient cases [14,28,29]. Several other studies identified pharmacy students' knowledge gaps in unconscious bias, particularly related to race, and deficiencies extend to providing specific care for transgender patients [11,30,31]. We have reviewed PharmD course syllabi to identify any explicit DEI elements. ...
Social behavior is ordinarily treated as being under conscious (if not always thoughtful) control. However, considerable evidence now supports the view that social behavior often operates in an implicit or unconscious fashion. The identifying feature of implicit cognition is that past experience influences judgment in a fashion not introspectively known by the actor. The present conclusion—that attitudes, self-esteem, and stereotypes have important implicit modes of operation—extends both the construct validity and predictive usefulness of these major theoretical constructs of social psychology. Methodologically, this review calls for increased use of indirect measures—which are imperative in studies of implicit cognition. The theorized ordinariness of implicit stereotyping is consistent with recent findings of discrimination by people who explicitly disavow prejudice. The finding that implicit cognitive effects are often reduced by focusing judges’ attention on their judgment task provides a basis for evaluating applications (such as affirmative action) aimed at reducing such unintended discrimination.
Objectives: Negative health care encounters have psychological and behavioral consequences for patients, particularly for minority and low socioeconomic populations. Guided by an integrative model of culture, psychological processes, and health behavior, this study examined whether provider cultural competence reduces the emotional and behavioral consequences of negative health care encounters among Latina and non-Latino White American women in the United States. Method: A total of 335 women participated in the study, of which 236 (Latina = 112; non-Latino White = 124) reported at least one negative health care encounter during a preventive medical screening exam. Structural equation causal modeling was used to examine whether provider cultural competence, as perceived by the patient, influenced emotions associated with negative health care encounters and subsequent medical avoidance. Results: When both Latina and non-Latino White American patients perceived their provider to be higher in cultural competence, they experienced less shame and embarrassment related to the negative encounter. Lower levels of shame and embarrassment in turn, predicted less medical avoidance for Latina, but not non-Latino White American women. Conclusions: Findings revealed that provider cultural competence reduces some of the consequences of negative health care encounters that are relevant to health behavior. These findings shed light on the complexity of how providers’ cultural competence impacts patient behavior, highlighting the importance of including psychological variables when investigating the role of cultural competence in health behavior and outcome.
The aim of this research was to examine the effects of healthcare mistreatment and cultural beliefs on psychological, behavioral, and biological phenomena relevant to treatment adherence and health outcome among patients with Type 2 Diabetes Mellitus (T2DM). The study was conducted in Chile, where the prevalence of T2DM is one of the highest in Latin America and is increasing at an accelerated rate. The research was guided by Betancourt’s Integrative Model and bottom-up mixed-method cultural research approach. Consistent with the hypotheses of the study, the test of a structural equation model based on the Integrative Model, including exposure to healthcare mistreatment, diabetes-related cultural beliefs, psychological distress, and medical avoidance as determinants of HbA1c, a biological measure of diabetes control, fit the data. The fact that the analysis of structural equations accounted for significant variance in HbA1c provides supporting evidence for extending the Integrative Model, to explain biological phenomena based on cultural and psychological factors.
Background
Implicit biases involve associations outside conscious awareness that lead to a negative evaluation of a person on the basis of irrelevant characteristics such as race or gender. This review examines the evidence that healthcare professionals display implicit biases towards patients. Methods
PubMed, PsychINFO, PsychARTICLE and CINAHL were searched for peer-reviewed articles published between 1st March 2003 and 31st March 2013. Two reviewers assessed the eligibility of the identified papers based on precise content and quality criteria. The references of eligible papers were examined to identify further eligible studies. ResultsForty two articles were identified as eligible. Seventeen used an implicit measure (Implicit Association Test in fifteen and subliminal priming in two), to test the biases of healthcare professionals. Twenty five articles employed a between-subjects design, using vignettes to examine the influence of patient characteristics on healthcare professionals’ attitudes, diagnoses, and treatment decisions. The second method was included although it does not isolate implicit attitudes because it is recognised by psychologists who specialise in implicit cognition as a way of detecting the possible presence of implicit bias. Twenty seven studies examined racial/ethnic biases; ten other biases were investigated, including gender, age and weight. Thirty five articles found evidence of implicit bias in healthcare professionals; all the studies that investigated correlations found a significant positive relationship between level of implicit bias and lower quality of care. DiscussionThe evidence indicates that healthcare professionals exhibit the same levels of implicit bias as the wider population. The interactions between multiple patient characteristics and between healthcare professional and patient characteristics reveal the complexity of the phenomenon of implicit bias and its influence on clinician-patient interaction. The most convincing studies from our review are those that combine the IAT and a method measuring the quality of treatment in the actual world. Correlational evidence indicates that biases are likely to influence diagnosis and treatment decisions and levels of care in some circumstances and need to be further investigated. Our review also indicates that there may sometimes be a gap between the norm of impartiality and the extent to which it is embraced by healthcare professionals for some of the tested characteristics. Conclusions
Our findings highlight the need for the healthcare profession to address the role of implicit biases in disparities in healthcare. More research in actual care settings and a greater homogeneity in methods employed to test implicit biases in healthcare is needed.
Background: The negative impact of perceived discrimination on health outcomes is well established. However, less attention has been directed towards understanding the effect of perceived discrimination on health behaviors relevant for the treatment of diabetes in ethnic minorities. Aim: To examine the effects of healthcare mistreatment attributed to discrimination on the continuity of Type 2 Diabetes (DM2) care among mapuche patients in a southern region of Chile. Material and Methods: A non-probabilistic sample of 85 mapuche DM2 patients were recruited from public and private health systems. Eligibility criteria included having experienced at least one incident of interpersonal healthcare mistreatment. All participants answered an instrument designed to measure healthcare mistreatment and continuity of diabetes care. Results: Healthcare mistreatment attributed to ethnic discrimination was associated with the discontinuation of diabetes care. Conclusions: Healthcare mistreatment attributed to discrimination negatively impacted the continuity of diabetes care, a fact which may provide a better understanding of health disparities in ethnic minorities.
Background:
In the United States, people of color face disparities in access to health care, the quality of care received, and health outcomes. The attitudes and behaviors of health care providers have been identified as one of many factors that contribute to health disparities. Implicit attitudes are thoughts and feelings that often exist outside of conscious awareness, and thus are difficult to consciously acknowledge and control. These attitudes are often automatically activated and can influence human behavior without conscious volition.
Objectives:
We investigated the extent to which implicit racial/ethnic bias exists among health care professionals and examined the relationships between health care professionals' implicit attitudes about racial/ethnic groups and health care outcomes.
Search methods:
To identify relevant studies, we searched 10 computerized bibliographic databases and used a reference harvesting technique.
Selection criteria:
We assessed eligibility using double independent screening based on a priori inclusion criteria. We included studies if they sampled existing health care providers or those in training to become health care providers, measured and reported results on implicit racial/ethnic bias, and were written in English.
Data collection and analysis:
We included a total of 15 studies for review and then subjected them to double independent data extraction. Information extracted included the citation, purpose of the study, use of theory, study design, study site and location, sampling strategy, response rate, sample size and characteristics, measurement of relevant variables, analyses performed, and results and findings. We summarized study design characteristics, and categorized and then synthesized substantive findings.
Main results:
Almost all studies used cross-sectional designs, convenience sampling, US participants, and the Implicit Association Test to assess implicit bias. Low to moderate levels of implicit racial/ethnic bias were found among health care professionals in all but 1 study. These implicit bias scores are similar to those in the general population. Levels of implicit bias against Black, Hispanic/Latino/Latina, and dark-skinned people were relatively similar across these groups. Although some associations between implicit bias and health care outcomes were nonsignificant, results also showed that implicit bias was significantly related to patient-provider interactions, treatment decisions, treatment adherence, and patient health outcomes. Implicit attitudes were more often significantly related to patient-provider interactions and health outcomes than treatment processes.
Conclusions:
Most health care providers appear to have implicit bias in terms of positive attitudes toward Whites and negative attitudes toward people of color. Future studies need to employ more rigorous methods to examine the relationships between implicit bias and health care outcomes. Interventions targeting implicit attitudes among health care professionals are needed because implicit bias may contribute to health disparities for people of color. (Am J Public Health. Published online ahead of print October 15, 2015: e1-e17. doi:10.2105/AJPH.2015.302903).
In reporting Implicit Association Test (IAT) results, researchers have most often used scoring conventions described in the first publication of the IAT (A. G. Greenwald, D. E. McGhee, & J. L. K. Schwartz, 1998). Demonstration IATs available on the Internet have produced large data sets that were used in the current article to evaluate alternative scoring procedures. Candidate new algorithms were examined in terms of their (a) correlations with parallel self-report measures, (b) resistance to an artifact associated with speed of responding, (c) internal consistency, (d) sensitivity to known influences on IAT measures, and (e) resistance to known procedural influences. The best-performing measure incorporates data from the IAT's practice trials, uses a metric that is calibrated by each respondent's latency variability, and includes a latency penalty for errors. This new algorithm strongly outperforms the earlier (conventional) procedure.
Negative health care encounters have implications for preventive medical services and continuity of health care. This study examined cultural and interpersonal psychological factors involved in health care interactions that may ameliorate the detrimental effects of negative encounters. A mixed-methods approach was implemented to examine the relations among positive cultural beliefs about health professionals, perceived professional empathy, interpersonal emotions, and continuity of cancer screening among 237 Latin American (Latino) and non-Latino White (Anglo) American women who reported a negative health care encounter. Multi-group structural equation modeling revealed that for Latino and Anglo women, positive cultural beliefs about health professionals in general were associated with higher perceptions of empathy regarding a professional involved in a negative encounter. In addition, for Latino women, perceptions of higher professional empathy and less negative emotions were associated with better continuity of cancer screening. Interventions designed to improve professionals’ empathy skills and diverse patients’ perceptions of professionals could improve patient–professional relations.
There appears to be a fundamental inconsistency between research which shows that some minority groups consistently receive lower quality healthcare and the literature indicating that healthcare workers appear to hold equality as a core personal value. Recent evidence using Implicit Association Tests suggests that these disparities in outcome may in part be due to social biases that are primarily unconscious. In some individuals the activation of these biases may be also facilitated by the high levels of cognitive load associated with clinical practice. However, a range of measures, such as counter-stereotypical stimuli and targeted experience with minority groups, have been identified as possible solutions in other fields and may be adapted for use within healthcare settings. We suggest that social bias should not be seen exclusively as a problem of conscious attitudes which need to be addressed through increased awareness. Instead the delivery of bias free healthcare should become a habit, developed through a continuous process of practice, feedback and reflection.
Ethnic minority and lower socioeconomic status (SES) populations report less positive health care encounters and lower continuity of health care compared with higher SES and non-Latino White (Anglo) Americans. This study examined similarities and differences concerning the influence of patients’ causal attributions for health care mistreatment and related emotions on continuity of health care among 335 Latin American (Latinas) and Anglo American women in Southern California. A mixed methods research approach was implemented to identify and assess perceptions of health care mistreatment, causal attributions for mistreatment, negative emotions, and continuity of cancer screening care. Multigroup structural equation modeling revealed that causal attributions for health care mistreatment and related emotions explained continuity of care above and beyond what was explained by patients’ exposure to health care mistreatment alone, for both ethnic groups. Still, the improvement in variance accounted for by including attributions and emotions was considerably more for Latinas (194%) than Anglo women (109%). Compared with attributions having to do with the health care environment (e.g., time constraints), attributions to the health care professional (e.g., uncompassionate) were related to higher levels of negative emotions for both Latinas and Anglo women and lower continuity of care, particularly for Anglo women. Results also suggest that for Latinas continuity of care was more a function of the attribution–emotion process, particularly the negative emotions associated with attributions concerning mistreatment, whereas for Anglo women it was more a function of mistreatment and the attribution itself. Interventions designed to improve professionals’ communication and interpersonal skills may help enhance continuity of health care and reduce health disparities.
Purpose:
Standards for reporting exist for many types of quantitative research, but currently none exist for the broad spectrum of qualitative research. The purpose of the present study was to formulate and define standards for reporting qualitative research while preserving the requisite flexibility to accommodate various paradigms, approaches, and methods.
Method:
The authors identified guidelines, reporting standards, and critical appraisal criteria for qualitative research by searching PubMed, Web of Science, and Google through July 2013; reviewing the reference lists of retrieved sources; and contacting experts. Specifically, two authors reviewed a sample of sources to generate an initial set of items that were potentially important in reporting qualitative research. Through an iterative process of reviewing sources, modifying the set of items, and coding all sources for items, the authors prepared a near-final list of items and descriptions and sent this list to five external reviewers for feedback. The final items and descriptions included in the reporting standards reflect this feedback.
Results:
The Standards for Reporting Qualitative Research (SRQR) consists of 21 items. The authors define and explain key elements of each item and provide examples from recently published articles to illustrate ways in which the standards can be met.
Conclusions:
The SRQR aims to improve the transparency of all aspects of qualitative research by providing clear standards for reporting qualitative research. These standards will assist authors during manuscript preparation, editors and reviewers in evaluating a manuscript for potential publication, and readers when critically appraising, applying, and synthesizing study findings.
Background:
The varying treatment of different patients by the same physician are referred to as within provider disparities. These differences can contribute to health disparities and are thought to be the result of implicit bias due to unintentional, unconscious assumptions.
Purposes:
The purpose is to describe an educational intervention addressing both health disparities and physician implicit bias and the results of a subsequent survey exploring medical students' attitudes and beliefs toward subconscious bias and health disparities.
Methods:
A single session within a larger required course was devoted to health disparities and the physician's potential to contribute to health disparities through implicit bias. Following the session the students were anonymously surveyed on their Implicit Association Test (IAT) results, their attitudes and experiences regarding the fairness of the health care system, and the potential impact of their own implicit bias. The students were categorized based on whether they disagreed ("deniers") or agreed ("accepters") with the statement "Unconscious bias might affect some of my clinical decisions or behaviors." Data analysis focused specifically on factors associated with this perspective.
Results:
The survey response rate was at least 69%. Of the responders, 22% were "deniers" and 77% were "accepters." Demographics between the two groups were not significantly different. Deniers were significantly more likely than accepters to report IAT results with implicit preferences toward self, to believe the IAT is invalid, and to believe that doctors and the health system provide equal care to all and were less likely to report having directly observed inequitable care.
Conclusions:
The recognition of bias cannot be taught in a single session. Our experience supports the value of teaching medical students to recognize their own implicit biases and develop skills to overcome them in each patient encounter, and in making this instruction part of the compulsory, longitudinal undergraduate medical curriculum.
Background:
To reduce cognitive dissonance about one's beliefs or behavior, individuals may compare their behavior to personal and/or normative standards. The details of this reflection process are unclear.
Aims:
We examined how medical students compare their behavior or beliefs to standards in discussions about implicit bias, and explored if and how different reflective pathways (preserving vs. reconciling) are associated with each standard.
Methods:
Third-year students engaged in a small-group discussion about bias. Some students and group facilitators also participated in a debriefing about the experience. Using qualitative methods, the transcripts from these 11 sessions were analyzed for evidence of student comparison to a standard and of reflection pathways.
Results:
Of 557 text units, 75.8% could be coded with a standard and/or a path of reflection. Students referenced personal and normative standards about equally, and preserved or reconciled existing beliefs about equally. Uses of normative standards were associated with preservation-type reflection, and uses of personal standards with reconciliation-type reflection.
Conclusions:
Normative expectations of physicians are sometimes used to provoke students' consideration of implicit biases about patients. To encourage critical reflection and reconciliation of biased beliefs or behavior, educators should frame reflective activities as a personal exercise rather than as a requirement.
The evidence that physician behavior and decision making may contribute to racial inequalities in health care1- 5 is difficult to reconcile with the fact that most physicians are genuinely motivated to provide good care to all their patients.6 This apparent contradiction can cause considerable cognitive dissonance, the uncomfortable feeling that occurs when holding 2 conflicting ideas simultaneously. Cognitive dissonance has been shown to be so aversive that people are highly motivated to resolve it, often by discounting the evidence supporting one of the conflicting beliefs. For scientists, however, cognitive dissonance motivates inquiry into how 2 seemingly contradictory sets of facts can coexist. The study by Haider and colleagues7 in this issue of JAMA is part of a growing body of work applying concepts and methods from cognitive and social psychology to medical care and education research to understand and inform interventions to eliminate the physician contribution to racial inequalities in care.
Disparities in health care are of great concern, with much attention focused on the potential for unconscious (implicit) bias to play a role in this problem. Some initial studies have been conducted, but the empirical research has lagged. This article provides a research roadmap that spans investigations of the presence of implicit bias in health care settings, identification of mechanisms through which implicit bias operates, and interventions that may prevent or ameliorate its effects. The goal of the roadmap is to expand and revitalize efforts to understand implicit bias and, ultimately, eliminate health disparities. Concrete suggestions are offered for individuals in different roles, including clinicians, researchers, policymakers, patients, and community members.
The aim of this research was to examine the relation of perceptions of healthcare mistreatment and related emotions to continuity of cancer screening care among women who reported healthcare mistreatment. The structure of relations among cultural beliefs about healthcare professionals, perceptions of mistreatment, mistreatment-related emotions, and continuity of screening was investigated. Participants included 313 Anglo and Latino American women of varying demographic characteristics from southern California who were recruited using multi-stage stratified sampling. Structural equation modeling confirmed the relation of perceptions of mistreatment to continuity of care for both Anglo and Latino American women, with ethnicity moderating this association. For Anglo Americans, greater perceptions of mistreatment were negatively related to continuity of screening. However, for Latinas the relation was indirect, through mistreatment-related anger. While greater perceptions of mistreatment were associated with higher levels of anger for both ethnic groups, anger was negatively related to continuity of care for Latino but not for Anglo women. Furthermore, cultural beliefs about professionals were indirectly related to continuity of screening through perceptions of mistreatment and/or mistreatment-related anger. These findings highlight the importance of the role of cultural and psychological factors in research and interventions aimed at improving patient-professional relations with culturally diverse women.
An implicit association test (IAT) measures differential association of 2 target concepts with an attribute. The 2 concepts appear in a 2-choice task (2-choice task (e.g., flower vs. insect names), and the attribute in a 2nd task (e.g., pleasant vs. unpleasant words for an evaluation attribute). When instructions oblige highly associated categories (e.g., flower + pleasant) to share a response key, performance is faster than when less associated categories (e.g., insect & pleasant) share a key. This performance difference implicitly measures differential association of the 2 concepts with the attribute. In 3 experiments, the IAT was sensitive to (a) near-universal evaluative differences (e.g., flower vs. insect), (b) expected individual differences in evaluative associations (Japanese + pleasant vs. Korean + pleasant for Japanese vs. Korean subjects), and (c) consciously disavowed evaluative differences (Black + pleasant vs. White + pleasant for self-described unprejudiced White subjects).
Epidemiologic studies have reported differences in the use of cardiovascular procedures according to the race and sex of the patient. Whether the differences stem from differences in the recommendations of physicians remains uncertain.
We developed a computerized survey instrument to assess physicians' recommendations for managing chest pain. Actors portrayed patients with particular characteristics in scripted interviews about their symptoms. A total of 720 physicians at two national meetings of organizations of primary care physicians participated in the survey. Each physician viewed a recorded interview and was given other data about a hypothetical patient. He or she then made recommendations about that patient's care. We used multivariate logistic-regression analysis to assess the effects of the race and sex of the patients on treatment recommendations, while controlling for the physicians' assessment of the probability of coronary artery disease as well as for the age of the patient, the level of coronary risk, the type of chest pain, and the results of an exercise stress test.
The physicians' mean (+/-SD) estimates of the probability of coronary artery disease were lower for women (probability, 64.1+/-19.3 percent, vs. 69.2+/-18.2 percent for men; P<0.001), younger patients (63.8+/-19.5 percent for patients who were 55 years old, vs. 69.5+/-17.9 percent for patients who were 70 years old; P<0.001), and patients with nonanginal pain (58.3+/-19.0 percent, vs. 64.4+/-18.3 percent for patients with possible angina and 77.1+/-14.0 percent for those with definite angina; P=0.001). Logistic-regression analysis indicated that women (odds ratio, 0.60; 95 percent confidence interval, 0.4 to 0.9; P=0.02) and blacks (odds ratio, 0.60; 95 percent confidence interval, 0.4 to 0.9; P=0.02) were less likely to be referred for cardiac catheterization than men and whites, respectively. Analysis of race-sex interactions showed that black women were significantly less likely to be referred for catheterization than white men (odds ratio, 0.4; 95 percent confidence interval, 0.2 to 0.7; P=0.004).
Our findings suggest that the race and sex of a patient independently influence how physicians manage chest pain.
Relationship-centered care reflects both knowing and feeling: the knowledge that physician and patient bring from their respective domains of expertise, and the physician's and patient's experience, expression, and perception of emotions during the medical encounter. These processes are conveyed and reciprocated in the care process through verbal and nonverbal communication. We suggest that the emotional context of care is especially related to nonverbal communication and that emotion-related communication skills, including sending and receiving nonverbal messages and emotional self-awareness, are critical elements of high-quality care. Although nonverbal behavior has received far less study than other care processes, the current review argues that it holds significance for the therapeutic relationship and influences important outcomes including satisfaction, adherence, and clinical outcomes of care.
Studies documenting racial/ethnic disparities in health care frequently implicate physicians' unconscious biases. No study to date has measured physicians' unconscious racial bias to test whether this predicts physicians' clinical decisions.
To test whether physicians show implicit race bias and whether the magnitude of such bias predicts thrombolysis recommendations for black and white patients with acute coronary syndromes.
An internet-based tool comprising a clinical vignette of a patient presenting to the emergency department with an acute coronary syndrome, followed by a questionnaire and three Implicit Association Tests (IATs). Study invitations were e-mailed to all internal medicine and emergency medicine residents at four academic medical centers in Atlanta and Boston; 287 completed the study, met inclusion criteria, and were randomized to either a black or white vignette patient.
IAT scores (normal continuous variable) measuring physicians' implicit race preference and perceptions of cooperativeness. Physicians' attribution of symptoms to coronary artery disease for vignette patients with randomly assigned race, and their decisions about thrombolysis. Assessment of physicians' explicit racial biases by questionnaire.
Physicians reported no explicit preference for white versus black patients or differences in perceived cooperativeness. In contrast, IATs revealed implicit preference favoring white Americans (mean IAT score = 0.36, P < .001, one-sample t test) and implicit stereotypes of black Americans as less cooperative with medical procedures (mean IAT score 0.22, P < .001), and less cooperative generally (mean IAT score 0.30, P < .001). As physicians' prowhite implicit bias increased, so did their likelihood of treating white patients and not treating black patients with thrombolysis (P = .009).
This study represents the first evidence of unconscious (implicit) race bias among physicians, its dissociation from conscious (explicit) bias, and its predictive validity. Results suggest that physicians' unconscious biases may contribute to racial/ethnic disparities in use of medical procedures such as thrombolysis for myocardial infarction.
Background and purpose
This paper describes the context and experiences of a workshop to raise knowledge and awareness of a college of pharmacy's faculty and staff about microaggressive behaviors and implicit biases. The workshop was intended to provide a non-threatening, interactive, and informative professional development program to demonstrate the cumulative marginalizing effects on students, faculty, and staff who may perceive themselves as targets.
Educational activity and setting
A half-day workshop was conducted during July 2018. Participants were initially provided with definitions and categories of microaggression and implicit bias. To bring the subject matter “alive” and foster receptivity, interactive videos were shown with scenarios depicting situations reflective of microaggressions and implicit biases. College faculty, staff, and students made these relatable. To foster objectivity, an outside consultant was hired to facilitate the ensuing roundtable and plenary discussions.
Findings
Sixty-eight participants responded to a pre-survey designed by the workshop team, and 78% indicated never having attended a training/seminar on microaggression and/or implicit bias. Sixty-two individuals responded to the post-survey with 92% indicating increased knowledge gained from workshop. Anecdotal reports suggested that the workshop had an ongoing impact, as faculty and staff continued the discussions in subsequent months and requested additional training sessions.
Summary
The workshop heightened awareness and increased faculty and staff knowledge on microaggressive behaviors, implicit biases, and the potential consequences thereof. It also demonstrated the importance of addressing conversations that are perceived as difficult, in order to create a diverse and inclusive workplace and learning environment for all.
Introduction
Microaggressions are commonplace indignities that communicate slights to marginalized persons. Microaggressions have been shown to negatively impact student well-being and academic performance. We describe the experiences of students in relation to the occurrence of microaggressions within the learning environment of a college of pharmacy (COP).
Methods
Students in a COP were interviewed regarding their experiences of microaggressions. Interviews were audio-recorded and transcribed verbatim. Transcripts were analyzed using a conventional content analysis method.
Results
Thirteen pharmacy students participated in the study. Six (46%) identified as women. Six (46%) identified as Black, Asian, or multi-racial. Experiences were first-hand, witnessed, or stories they heard. Three themes arose from the data: (1) feeling othered; (2) power, pain, pollution, and pervasiveness of microaggressions; and (3) responsibility of academic community to mitigate microaggressions. Microaggressions were described based on race, religion, gender, sexuality, age, English proficiency, and others. Students expressed confusion with responding to microaggressions, microaggressions disguised as jokes, divisiveness related to the 2016 presidential election, unawareness of biases, dismissal of their concerns, hopelessness for change, and centering dominant groups in the curriculum. Recommendations from participants to address microaggressions included longitudinal cultural competency in the curriculum, cultural competency training for faculty, guidance on conflict management, and open discussions related to diversity and inclusion.
Conclusions
Students are unsure how to identify, address, and mitigate microaggressions. Actions are needed to reduce these incidents, facilitate healing of individuals who have experienced past microaggressions, and promote a diverse and inclusive learning environment.
Background
Implicit bias is prejudice shown towards an individual or group without consciously meaning to do so. This bias may occur due to age, race, and gender among other factors. Implicit bias has been examined and identified in a variety of health care professionals, primarily using Implicit Association Tests. To date, literature has not examined implicit bias using covert simulated patients in a naturalistic setting, or in practicing community pharmacists.
Objective
To develop and pilot a novel method for exploring and reporting on implicit racial bias by community pharmacists in their practice setting.
Methods
Four female actors of different racial and ethnic backgrounds (East Asian, Middle Eastern, South Asian, Caucasian Australian) completed simulated patient visits at eight community pharmacies in Sydney, Australia between February–March 2019. Actors provided scripted requests for assistance with symptoms or products relating to women's health ailments (dysmenorrhea, cystitis, emergency contraception, vaginal thrush) at a rate of one visit per pharmacy per week. Visits were audio-recorded. Semi-structured interviews were conducted with actors immediately post-visit. Transcriptions of visits and interviews were analyzed through discourse analysis.
Results
Discourse analysis identified 3 discursive frames of ‘caring’, ‘neutral, and ‘abrupt’ and enabled identification of potential differences between pharmacists when responding to actors of different racial and ethnic backgrounds. Consultation length, number of products sold, and number of questions asked did not significantly differ between visits.
Conclusions
This novel method proved feasible and future work could adapt this method to different practitioners and simulated patient demographics to explore different types of implicit bias in a number of naturalistic settings.
Background and purpose:
Health equity attainment requires dismantling implicit bias and structural racism. Mitigating bias in clinical interventions and implementing structural interventions to impact where people live, work, play, and eat fosters optimal patient outcomes. Consequently, pharmacy students need exposure to these concepts. The objective of this project was to evaluate an elective course focused on exposing students to the root causes of health disparities, contemporary factors that perpetuate disparities, and evidence-based policies to reduce health disparities.
Educational activity and setting:
This three-credit course emphasized critical thinking, robust discussions, and learning challenging constructs through self-discovery. Nine second-year and third-year learners were assessed by short-answer exams, learning management system discussion threads, weekly reflections, participation, and a class project. A qualitative descriptive design was used for this study. Weekly reflections were subjected to thematic analysis using a constant comparative analysis method to generate themes.
Findings:
Five themes were derived from the data underlying strategies to facilitate this course: (1) create and maintain a welcoming and inclusive learning environment; (2) utilize experiential learning for personal awareness development and knowledge expansion; (3) incorporate intergroup diversity to empower learners to create change; (4) anticipate and acknowledge emotions to facilitate learning; and (5) provide students with an opportunity to complete a final self-reflection paper.
Summary:
This course provided pharmacy learners with unique, differential skill sets and knowledge, potentially adding depth to their careers and impacting the way they will practice pharmacy.
Background and purpose
Identify and analyze pharmacy students’ perceptions about their own implicit racial biases.
Educational activity and setting
First year pharmacy students (n = 97) enrolled in a Pharmacy Practice course completed a test, Harvard Race Implicit Association Test (IAT), for homework to uncover their unconscious black-white racial bias. All students then wrote at least one paragraph reflecting on if they agreed or disagreed with their results and why. At the beginning of class, students were given a brief survey to capture their IAT results and demographic information. Retrospectively and following Institutional Review Board approval, pharmacy students’ reflections were subjected to thematic analysis with the assistance of NVivo 10 and descriptive analyses were completed of their demographic info.
Findings
Out of the 97 students enrolled in this course, all completed the self-reflection. But only 90 completed the survey. From those that completed the survey, 54% (N = 49) self-identified as women. The average age was 22.6 years old. Most of the students (77%) identified themselves as White Non-Hispanic. Six percent (N = 5) identified as Black. Most students (66%) reported that their results from the Race IAT indicated some level of preference for European Americans; 13% of the students reported some level of preference for African-Americans.
All students’ reflections were categorized by their agreement or lack of agreement with their implicit association test results. Those that agreed with their results cited family, friends, and community contributing to their implicit biases. Students who did not agree with their results were subcategorized as denying their results, believing that their implicit association did not affect their behavior, or believing that the Race IAT was invalid.
Discussion/summary
Many pharmacy students were found to be unaware of their implicit biases and some do not believe that these biases will negatively affect the treatment of others. Pharmacy curricula should be developed to provide adequate self-awareness training and space in the curriculum so students can challenge these unconscious beliefs.
Disparities in the care and outcomes of US racial/ethnic minorities are well documented. Research suggests that provider bias plays a role in these disparities. The implicit association test enables measurement of implicit bias via tests of automatic associations between concepts. Hundreds of studies have examined implicit bias in various settings, but relatively few have been conducted in healthcare. The aim of this systematic review is to synthesize the current knowledge on the role of implicit bias in healthcare disparities. A comprehensive literature search of several databases between May 2015 and September 2016 identified 37 qualifying studies. Of these, 31 found evidence of pro-White or light-skin/anti-Black, Hispanic, American Indian or dark-skin bias among a variety of HCPs across multiple levels of training and disciplines. Fourteen studies examined the association between implicit bias and healthcare outcomes using clinical vignettes or simulated patients. Eight found no statistically significant association between implicit bias and patient care while six studies found that higher implicit bias was associated with disparities in treatment recommendations, expectations of therapeutic bonds, pain management, and empathy. All seven studies that examined the impact of implicit provider bias on real-world patient-provider interaction found that providers with stronger implicit bias demonstrated poorer patient-provider communication. Two studies examined the effect of implicit bias on real-world clinical outcomes. One found an association and the other did not. Two studies tested interventions aimed at reducing bias, but only one found a post-intervention reduction in implicit bias. This review reveals a need for more research exploring implicit bias in real-world patient care, potential modifiers and confounders of the effect of implicit bias on care, and strategies aimed at reducing implicit bias and improving patient-provider communication. Future studies have the opportunity to build on this current body of research, and in doing so will enable us to achieve equity in healthcare and outcomes.
OBJECTIVE: To conduct a systematic review of studies examining how culture mediates nonverbal expressions of empathy with the aim to improve clinician cross-cultural competency.
METHODS: We searched three databases for studies of nonverbal expressions of empathy and communication in cross-cultural clinical settings, yielding 16,143 articles. We examined peer-reviewed, experimental or observational articles. Sixteen studies met inclusion criteria.
RESULTS: Nonverbal expressions of empathy varied across cultural groups and impacted the quality of communication and care. Some nonverbal behaviors appeared universally desired and others, culturally specific. Findings revealed the impact of nonverbal communication on patient satisfaction, affective tone, information exchange, visit length, and expression decoding during cross-cultural clinical encounters. Racial discordance, patients’ perception of physician racism, and physician implicit bias are among factors that appear to influence information exchange in clinical encounters.
CONCLUSIONS: Culture-based norms impact expectations for specific nonverbal expressions within patient-clinician dyads. Nonverbal communication plays a significant role in fostering trusting provider-patient relationships, and is critical to high quality care.
PRACTICE IMPLICATIONS: Medical education should include training in interpretation of nonverbal behavior to optimize empathic cross-cultural communication and training efforts should accommodate norms of local patient populations. These efforts should reduce implicit biases in providers and perceived prejudice in patients.
Purpose:
Health providers' implicit racial bias negatively affects communication and patient reactions to many medical interactions. However, its effects on racially discordant oncology interactions are largely unknown. Thus, we examined whether oncologist implicit racial bias has similar effects in oncology interactions. We further investigated whether oncologist implicit bias negatively affects patients' perceptions of recommended treatments (i.e., degree of confidence, expected difficulty). We predicted oncologist implicit bias would negatively affect communication, patient reactions to interactions, and, indirectly, patient perceptions of recommended treatments.
Methods:
Participants were 18 non-black medical oncologists and 112 black patients. Oncologists completed an implicit racial bias measure several weeks before video-recorded treatment discussions with new patients. Observers rated oncologist communication and recorded interaction length of time and amount of time oncologists and patients spoke. Following interactions, patients answered questions about oncologists' patient-centeredness and difficulty remembering contents of the interaction, distress, trust, and treatment perceptions.
Results:
As predicted, oncologists higher in implicit racial bias had shorter interactions, and patients and observers rated these oncologists' communication as less patient-centered and supportive. Higher implicit bias also was associated with more patient difficulty remembering contents of the interaction. In addition, oncologist implicit bias indirectly predicted less patient confidence in recommended treatments, and greater perceived difficulty completing them, through its impact on oncologists' communication (as rated by both patients and observers).
Conclusion:
Oncologist implicit racial bias is negatively associated with oncologist communication, patients' reactions to racially discordant oncology interactions, and patient perceptions of recommended treatments. These perceptions could subsequently directly affect patient-treatment decisions. Thus, implicit racial bias is a likely source of racial treatment disparities and must be addressed in oncology training and practice.
Objectives:
The emergency department (ED) is characterized by stressors (e.g., fatigue, stress, time pressure, and complex decision-making) that can pose challenges to delivering high-quality, equitable care. Although it has been suggested that characteristics of the ED may exacerbate reliance on cognitive heuristics, no research has directly investigated whether stressors in the ED impact physician racial bias, a common heuristic. We seek to determine if physicians have different levels of implicit racial bias post-ED shift versus preshift and to examine associations between demographics and cognitive stressors with bias.
Methods:
This repeated-measures study of resident physicians in a pediatric ED used electronic pre- and postshift assessments of implicit racial bias, demographics, and cognitive stressors. Implicit bias was measured using the Race Implicit Association Test (IAT). Linear regression models compared differences in IAT scores pre- to postshift and determined associations between participant demographics and cognitive stressors with postshift IAT and pre- to postshift difference scores.
Results:
Participants (n = 91) displayed moderate prowhite/antiblack bias on preshift (mean ± SD = 0.50 ± 0.34, d = 1.48) and postshift (mean ± SD = 0.55 ± 0.39, d = 1.40) IAT scores. Overall, IAT scores did not differ preshift to postshift (mean increase = 0.05, 95% CI = -0.02 to 0.14, d = 0.13). Subanalyses revealed increased pre- to postshift bias among participants working when the ED was more overcrowded (mean increase = 0.09, 95% CI = 0.01 to 0.17, d = 0.24) and among those caring for >10 patients (mean increase = 0.17, 95% CI = 0.05 to 0.27, d = 0.47). Residents' demographics (including specialty), fatigue, busyness, stressfulness, and number of shifts were not associated with postshift IAT or difference scores. In multivariable models, ED overcrowding was associated with greater postshift bias (coefficient = 0.11 per 1 unit of NEDOCS score, SE = 0.05, 95% CI = 0.00 to 0.21).
Conclusions:
While resident implicit bias remained stable overall preshift to postshift, cognitive stressors (overcrowding and patient load) were associated with increased implicit bias. Physicians in the ED should be aware of how cognitive stressors may exacerbate implicit racial bias.
Several aspects of social psychological science shed light on how unexamined racial/ethnic biases contribute to health care disparities.
Biases are complex but systematic, differing by racial/ethnic group and not limited to love–hate polarities. Group images on the universal social cognitive dimensions of competence and warmth determine the content of each group's overall stereotype, distinct emotional prejudices (pity, envy, disgust, pride), and discriminatory tendencies. These biases are often unconscious and occur despite the best intentions.
Such ambivalent and automatic biases can influence medical decisions and interactions, systematically producing discrimination in health care and ultimately disparities in health. Understanding how these processes may contribute to bias in health care can help guide interventions to address racial and ethnic disparities in health.
We examined the associations of clinicians' implicit attitudes about race with visit communication and patient ratings of care.
In a cross-sectional study of 40 primary care clinicians and 269 patients in urban community-based practices, we measured clinicians' implicit general race bias and race and compliance stereotyping with 2 implicit association tests and related them to audiotape measures of visit communication and patient ratings.
Among Black patients, general race bias was associated with more clinician verbal dominance, lower patient positive affect, and poorer ratings of interpersonal care; race and compliance stereotyping was associated with longer visits, slower speech, less patient centeredness, and poorer ratings of interpersonal care. Among White patients, bias was associated with more verbal dominance and better ratings of interpersonal care; race and compliance stereotyping was associated with less verbal dominance, shorter visits, faster speech, more patient centeredness, higher clinician positive affect, and lower ratings of some aspects of interpersonal care.
Clinician implicit race bias and race and compliance stereotyping are associated with markers of poor visit communication and poor ratings of care, particularly among Black patients.
Systematic reviews of healthcare disparities suggest that clinicians' diagnostic and therapeutic decision making varies by clinically irrelevant characteristics, such as patient race, and that this variation may contribute to healthcare disparities. However, there is little understanding of the particular features of the healthcare setting under which clinicians are most likely to be inappropriately influenced by these characteristics. This study delineates several hypotheses to stimulate future research in this area. It is posited that healthcare settings in which providers experience high levels of cognitive load will increase the likelihood of racial disparities via 2 pathways. First, providers who experience higher levels of cognitive load are hypothesized to make poorer medical decisions and provide poorer care for all patients, due to lower levels of controlled processing (H1). Second, under greater levels of cognitive load, it is hypothesized that healthcare providers' medical decisions and interpersonal behaviors will be more likely to be influenced by racial stereotypes, leading to poorer processes and outcomes of care for racial minority patients (H2). It is further hypothesized that certain characteristics of healthcare settings will result in higher levels of cognitive load experienced by providers (H3). Finally, it is hypothesized that minority patients will be disproportionately likely to be treated in healthcare settings in which providers experience greater levels of cognitive load (H4a), which will result in racial disparities due to lower levels of controlled processing by providers (H4b) and the influence of racial stereotypes (H4c).The study concludes with implications for research and practice that flow from this framework.
The Institute of Medicine report, Unequal Treatment, asserts that conscious and unconscious bias of providers may affect treatments delivered and contribute to health disparities. The primary study objective is to measure, compare, and contrast objective and subjective cognitive processes among pharmacy, nursing, and medical students to discern potential implications for health disparities. Data were collected using a cultural competency questionnaire and two implicit association tests (IATs). Race and skin tone IATs measure unconscious bias. Cultural competency scores were significantly higher for non-Hispanic Blacks and Hispanics in medicine and pharmacy compared with non-Hispanic Whites. Multiracial nursing students also had significantly higher cultural competency scores than non-Hispanic Whites. The IAT results indicate that these health care preprofessionals exhibit implicit race and skin tone biases: preferences for Whites versus Blacks and light skin versus dark skin. Cultural competency curricula and disparities research will be advanced by understanding the factors contributing to cultural competence and bias.
Despite its potential influence on quality of care, there has been little research on the way physicians perceptions of and beliefs about patients are affected by patient race or socio-economic status. The lack of research in this area creates a critical gap in our understanding of how patients' demographic characteristics influence encounter characteristics, diagnoses, treatment recommendations, and outcomes. This study uses survey data to examine the degree to which patient race and socio-economic status affected physicians' perceptions of patients during a post-angiogram encounter. A total of 842 patient encounters were sampled, out of which 193 physicians provided data on 618 (73%) of the encounters sampled. The results of analyses of the effect of patient race and SES on physician perceptions of and attitude towards patients, controlling for patient age, sex, race, frailty/sickness, depression, mastery, social assertiveness and physician characteristics, are presented. These results supported the hypothesis that physicians' perceptions of patients were influenced by patients' socio-demographic characteristics. Physicians tended to perceive African-Americans and members of low and middle SES groups more negatively on a number of dimensions than they did Whites and upper SES patients. Patient race was associated with physicians' assessment of patient intelligence, feelings of affiliation toward the patient, and beliefs about patient's likelihood of risk behavior and adherence with medical advice; patient SES was associated with physicians' perceptions of patients' personality, abilities, behavioral tendencies and role demands. Implications are discussed in terms of further studies and potential interventions.
To determine: 1) whether racial and ethnic differences exist in patients' perceptions of primary care provider (PCP) and general health care system-related bias and cultural competence; and 2) whether these differences are explained by patient demographics, source of care, or patient-provider communication variables.
Cross-sectional telephone survey.
The Commonwealth Fund 2001 Health Care Quality Survey.
A total of 6,299 white, African-American, Hispanic, and Asian adults.
Interviews were conducted using random-digit dialing; oversampling respondents from communities with high racial/ethnic minority concentrations; and yielding a 54.3% response rate. Main outcomes address respondents' perceptions of their PCPs' and health care system-related bias and cultural competence; adjusted probabilities (Pr) are reported for each ethnic group. Most racial/ethnic differences in perceptions of PCP bias and cultural competence were explained by demographics, source of care, and patient-physician communication variables. In contrast, racial/ethnic differences in patient perceptions of health care system-wide bias and cultural competence persisted even after controlling for confounders: African Americans, Hispanics, and Asians remained more likely than whites (P <.001) to perceive that: 1) they would have received better medical care if they belonged to a different race/ethnic group (Pr 0.13, Pr 0.08, Pr 0.08, and Pr 0.01, respectively); and 2) medical staff judged them unfairly or treated them with disrespect based on race/ethnicity (Pr 0.06, Pr 0.04, Pr 0.06, and Pr 0.01, respectively) and how well they speak English (Pr 0.09, Pr 0.06, Pr 0.06, and Pr 0.03, respectively).
While demographics, source of care, and patient-physician communication explain most racial and ethnic differences in patient perceptions of PCP cultural competence, differences in perceptions of health care system-wide bias and cultural competence are not fully explained by such factors. Future research should include closer examination of the sources of cultural bias in the US medical system.
State of the Science: Implicit Bias Review
- C Staats
- K Capatosto
- R A Wright
- D Contractor
Staats C, Capatosto K, Wright RA, Contractor D. State of the Science: Implicit Bias Review 2015. Kirwin Institute; 2015. Accessed 23 February 2023 https://
kirwaninstitute.osu.edu/sites/default/files/pdf/2015-implicit-bias-review.pdf.
In the Nation's Compelling Interest: Ensuring Diversity in the Health-Care Workforce. National Academies Press
Institute of Medicine. In the Nation's Compelling Interest: Ensuring Diversity in the Health-Care Workforce. National Academies Press; 2004. https://doi.org/10.17226/
10885.