Association of unconscious race and social class bias with vignette-based clinical assessments by medical students

"Sorry, I'm Not Accepting New Patients": An Audit Study of Access to Mental Health Care

Through a phone-based field experiment, I investigated the effect of mental help seekers' race, class, and gender on the accessibility of psychotherapists. Three hundred and twenty psychotherapists each received voicemail messages from one black middle-class and one white middle-class help seeker, or from one black working-class and one white working-class help seeker, requesting an appointment. The results revealed an otherwise invisible form of discrimination. Middle-class help seekers had appointment offer rates almost three times higher than their working-class counterparts. Race differences emerged only among middle-class help-seekers, with blacks considerably less likely than whites to be offered an appointment. Average appointment offer rates were equivalent across gender, but women were favored over men for appointment offers in their preferred time range.

Racial bias in pain assessment and treatment recommendations, and false beliefs about biological differences between blacks and whites

Black Americans are systematically undertreated for pain relative to white Americans. We examine whether this racial bias is related to false beliefs about biological differences between blacks and whites (e.g., "black people's skin is thicker than white people's skin"). Study 1 documented these beliefs among white laypersons and revealed that participants who more strongly endorsed false beliefs about biological differences reported lower pain ratings for a black (vs. white) target. Study 2 extended these findings to the medical context and found that half of a sample of white medical students and residents endorsed these beliefs. Moreover, participants who endorsed these beliefs rated the black (vs. white) patient's pain as lower and made less accurate treatment recommendations. Participants who did not endorse these beliefs rated the black (vs. white) patient's pain as higher, but showed no bias in treatment recommendations. These findings suggest that individuals with at least some medical training hold and may use false beliefs about biological differences between blacks and whites to inform medical judgments, which may contribute to racial disparities in pain assessment and treatment.

The Impact of Cognitive Stressors in the Emergency Department on Physician Implicit Racial Bias

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.

Medical School Experiences Associated with Change in Implicit Racial Bias Among 3547 Students: A Medical Student CHANGES Study Report

BACKGROUND

Physician implicit (unconscious, automatic) bias has been shown to contribute to racial disparities in medical care. The impact of medical education on implicit racial bias is unknown.

OBJECTIVE

To examine the association between change in student implicit racial bias towards African Americans and student reports on their experiences with 1) formal curricula related to disparities in health and health care, cultural competence, and/or minority health; 2) informal curricula including racial climate and role model behavior; and 3) the amount and favorability of interracial contact during school.

DESIGN

Prospective observational study involving Web-based questionnaires administered during first (2010) and last (2014) semesters of medical school.

PARTICIPANTS

A total of 3547 students from a stratified random sample of 49 U.S. medical schools.

MAIN OUTCOME(S) AND MEASURE(S)

Change in implicit racial attitudes as assessed by the Black-White Implicit Association Test administered during the first semester and again during the last semester of medical school.

KEY RESULTS

In multivariable modeling, having completed the Black-White Implicit Association Test during medical school remained a statistically significant predictor of decreased implicit racial bias (-5.34, p ≤ 0.001: mixed effects regression with random intercept across schools). Students' self-assessed skills regarding providing care to African American patients had a borderline association with decreased implicit racial bias (-2.18, p = 0.056). Having heard negative comments from attending physicians or residents about African American patients (3.17, p = 0.026) and having had unfavorable vs. very favorable contact with African American physicians (18.79, p = 0.003) were statistically significant predictors of increased implicit racial bias.

CONCLUSIONS

Medical school experiences in all three domains were independently associated with change in student implicit racial attitudes. These findings are notable given that even small differences in implicit racial attitudes have been shown to affect behavior and that implicit attitudes are developed over a long period of repeated exposure and are difficult to change.

Implicit Racial/Ethnic Bias Among Health Care Professionals and Its Influence on Health Care Outcomes: A Systematic Review

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.

Eliminating Health Care Disparities With Mandatory Clinical Decision Support: The Venous Thromboembolism (VTE) Example

BACKGROUND

All hospitalized patients should be assessed for venous thromboembolism (VTE) risk factors and prescribed appropriate prophylaxis. To improve best-practice VTE prophylaxis prescription for all hospitalized patients, we implemented a mandatory computerized clinical decision support (CCDS) tool. The tool requires completion of checklists to evaluate VTE risk factors and contraindications to pharmacological prophylaxis, and then recommends the risk-appropriate VTE prophylaxis regimen.

OBJECTIVES

The objective of the study was to examine the effect of a quality improvement intervention on race-based and sex-based health care disparities across 2 distinct clinical services.

RESEARCH DESIGN

This was a retrospective cohort study of a quality improvement intervention.

SUBJECTS

The study included 1942 hospitalized medical patients and 1599 hospitalized adult trauma patients.

MEASURES

In this study, the proportion of patients prescribed risk-appropriate, best-practice VTE prophylaxis was evaluated.

RESULTS

Racial disparities existed in prescription of best-practice VTE prophylaxis in the preimplementation period between black and white patients on both the trauma (70.1% vs. 56.6%, P=0.025) and medicine (69.5% vs. 61.7%, P=0.015) services. After implementation of the CCDS tool, compliance improved for all patients, and disparities in best-practice prophylaxis prescription between black and white patients were eliminated on both services: trauma (84.5% vs. 85.5%, P=0.99) and medicine (91.8% vs. 88.0%, P=0.082). Similar findings were noted for sex disparities in the trauma cohort.

CONCLUSIONS

Despite the fact that risk-appropriate prophylaxis should be prescribed equally to all hospitalized patients regardless of race and sex, practice varied widely before our quality improvement intervention. Our CCDS tool eliminated racial disparities in VTE prophylaxis prescription across 2 distinct clinical services. Health information technology approaches to care standardization are effective to eliminate health care disparities.

Understanding Empathy Training with Virtual Patients

While the use of virtual characters in medical education is becoming more and more commonplace, an understanding of the role they can play in empathetic communication skills training is still lacking. This paper presents a study aimed at building this understanding by determining if students can respond to a virtual patient's statement of concern with an empathetic response. A user study was conducted at the [blinded] College of Medicine in which early stage medical students interacted with virtual patients in one session and real humans trained to portray real patients (i.e., standardized patients) in a separate session about a week apart. During the interactions, the virtual and 'real' patients presented the students with empathetic opportunities which were later rated by outside observers. The results of pairwise comparisons indicate that empathetic responses made to virtual patients were rated as significantly more empathetic than responses made to standardized patients. Even though virtual patients may be perceived as artificial, the educational benefit of employing them for training medical students' empathetic communications skills is that virtual patients offer a low pressure interaction which allows students to reflect on their responses.

Explicit and Implicit Attitudes of Canadian Psychiatrists Toward People With Mental Illness

OBJECTIVE

People with mental illness suffer stigma and discrimination across various contexts, including the health care setting, and clinicians' attitudes play an important role in perpetuating stigma. Effective stigma-reduction interventions for physicians require a better understanding of explicit (that is, conscious and controllable) and implicit (that is, subconscious and automatic) forms of bias, and of predictors and moderators of stigma.

METHODS

Members of a Canadian university psychiatry department and of the Canadian Psychiatric Association (CPA) were invited to participate in a web-based study consisting of 2 measures of explicit attitudes, the Social Distance Scale (SDS) and the Opening Minds Scale for Health Care Providers (OMS-HC), and 1 measure of implicit attitudes, the Implicit Association Test (IAT).

RESULTS

Thirty-five psychiatry residents and 68 psychiatrists completed the study (response rates of 12.1% for the university sample and 3.3% for the CPA sample). Participants desired greater social distance from the vignette patient with schizophrenia. Mean IAT scores, although negative, did not reach the threshold for a meaningful effect size. Patient contact positively predicted IAT scores, while age, sex, and level of training (resident, compared with psychiatrist) did not. Neither patient contact nor implicit attitudes predicted SDS or OMS-HC scores.

CONCLUSION

Psychiatrists did not differ from psychiatry residents on any measures of explicit or implicit attitudes toward mental illness. Explicit attitudes toward people with mental illness were relatively negative; implicit attitudes were neither negative nor positive; and implicit and explicit attitudes were not correlated. Greater patient contact predicted more positive implicit attitudes, but did not predict explicit attitudes.

Assessing Complex Emergency Management with Clinical Case-Vignettes: A Validation Study

Objective

To evaluate whether responses to dynamic case-vignettes accurately reflect actual practices in complex emergency situations. We hypothesized that when obstetricians were faced with vignette of emergency situation identical to one they previously managed, they would report the management strategy they actually used. On the other hand, there is no reason to suppose that their response to a vignette based on a source case managed by another obstetrician would be the same as the actual management.

Methods

A multicenter vignette-based study was used in 7 French maternity units. We chose the example of severe postpartum hemorrhage (PPH) to study the use of case-vignettes for assessing the management of complex situations. We developed dynamic case-vignettes describing incidents of PPH in several steps, using documentation in patient files. Vignettes described the postpartum course and included multiple-choice questions detailing proposed clinical care. Each participating obstetrician was asked to evaluate 4 case-vignettes: 2 directly derived from cases they previously managed and 2 derived from other obstetricians’ cases. We compared the final treatment decision in vignette responses to those documented in the source-case by the overall agreement and the Kappa coefficient, both for the cases the obstetricians previously managed and the cases of others.

Results

Thirty obstetricians participated. Overall agreement between final treatment decisions in case-vignettes and documented care for cases obstetricians previously managed was 82% (Kappa coefficient: 0.75, 95% CI [0.62–0.88]). Overall agreement between final treatment decisions in case-vignettes and documented care in vignettes derived from other obstetricians’ cases was only 48% (Kappa coefficient: 0.30, 95% CI [0.12–0.48]). Final agreement with documented care was significantly better for cases based on their own previous cases than for others (p<0.001).

Conclusions

Dynamic case-vignettes accurately reflect actual practices in complex emergency situations. Therefore, they can be used to assess the quality of management in these situations.

Ethnic disparities in trauma mortality outcomes

BACKGROUND

Ethnic disparities in trauma mortality outcomes have been demonstrated in the United States according to the US National Trauma Data Bank. The aim of this study was to determine the effect of race/ethnicity on trauma mortality in Singapore.

METHODS

This was a retrospective review of patients aged 18-64 years with an injury severity score (ISS) ≥ 9 in the Trauma Registry of Tan Tock Seng Hospital, a 1,300-bed trauma center in Singapore, from 2006 to 2010. Chinese, Malay, and Indian patients were compared with patients of other ethnic groups. Multiple logistic regression analyses determined differences in survival rates after adjusting for demographics, anatomic and physiologic ISS and revised trauma score, mechanism or type of injury.

RESULTS

A total of 4,186 patients (66.4 % of the database) met the inclusion criteria. Most patients were male (76.3 %) and young (mean age 40 years). Using Chinese as the reference group, we found no statistically significant differences in unadjusted or adjusted mortality rates among the ethnic groups. Independent predictors of mortality included age [odds ratio (OR) 1.05, 95 % confidence interval (CI) 1.03-1.06, p < 0.0001], presence of severe head injury (OR 1.75, 95 % CI 1.13-2.69, p = 0.012), and increasing ISS (p < 0.0001).

CONCLUSIONS

Ethnicity is not an independent predictor of trauma mortality outcomes in the Singapore population. Our findings contrast with those from the United States, where race/ethnicity (Black and Hispanic) remains a strong independent risk factor for trauma mortality. This study attests to the success of the Singapore health care/trauma system in delivering the same quality of care regardless of ethnicity.

Racial, gender, and socioeconomic status bias in senior medical student clinical decision-making: a national survey

BACKGROUND

Research suggests stereotyping by clinicians as one contributor to racial and gender-based health disparities. It is necessary to understand the origins of such biases before interventions can be developed to eliminate them. As a first step toward this understanding, we tested for the presence of bias in senior medical students.

OBJECTIVE

The purpose of the study was to determine whether bias based on race, gender, or socioeconomic status influenced clinical decision-making among medical students.

DESIGN

We surveyed seniors at 84 medical schools, who were required to choose between two clinically equivalent management options for a set of cardiac patient vignettes. We examined variations in student recommendations based on patient race, gender, and socioeconomic status.

PARTICIPANTS

The study included senior medical students.

MAIN MEASURES

We investigated the percentage of students selecting cardiac procedural options for vignette patients, analyzed by patient race, gender, and socioeconomic status.

KEY RESULTS

Among 4,603 returned surveys, we found no evidence in the overall sample supporting racial or gender bias in student clinical decision-making. Students were slightly more likely to recommend cardiac procedural options for black (43.9 %) vs. white (42 %, p = .03) patients; there was no difference by patient gender. Patient socioeconomic status was the strongest predictor of student recommendations, with patients described as having the highest socioeconomic status most likely to receive procedural care recommendations (50.3 % vs. 43.2 % for those in the lowest socioeconomic status group, p < .001). Analysis by subgroup, however, showed significant regional geographic variation in the influence of patient race and gender on decision-making. Multilevel analysis showed that white female patients were least likely to receive procedural recommendations.

CONCLUSIONS

In the sample as a whole, we found no evidence of racial or gender bias in student clinical decision-making. However, we did find evidence of bias with regard to the influence of patient socioeconomic status, geographic variations, and the influence of interactions between patient race and gender on student recommendations.

The interaction of patient race, provider bias, and clinical ambiguity on pain management decisions

Although racial disparities in pain care are widely reported, much remains to be known about the role of provider and contextual factors. We used computer-simulated patients to examine the influence of patient race, provider racial bias, and clinical ambiguity on pain decisions. One hundred twenty-nine medical residents/fellows made assessment (pain intensity) and treatment (opioid and nonopioid analgesics) decisions for 12 virtual patients with acute pain. Race (black/white) and clinical ambiguity (high/low) were manipulated across vignettes. Participants completed the Implicit Association Test and feeling thermometers, which assess implicit and explicit racial biases, respectively. Individual- and group-level analyses indicated that race and ambiguity had an interactive effect on providers' decisions, such that decisions varied as a function of ambiguity for white but not for black patients. Individual differences across providers were observed for the effect of race and ambiguity on decisions; however, providers' implicit and explicit biases did not account for this variability. These data highlight the complexity of racial disparities and suggest that differences in care between white and black patients are, in part, attributable to the nature (ie, ambiguity) of the clinical scenario. The current study suggests that interventions to reduce disparities should differentially target patient, provider, and contextual factors.

PERSPECTIVE

This study examined the unique and collective influence of patient race, provider racial bias, and clinical ambiguity on providers' pain management decisions. These results could inform the development of interventions aimed at reducing disparities and improving pain care.

Understanding inequities in home health care outcomes: staff views on agency and system factors

Results regarding staff perspectives on contributing factors to racial/ethnic disparities in home health care outcomes are discussed. Focus group interviews were conducted with home health care staff (N = 23) who represented various agencies from three Northeastern states. Participants identified agency and system factors that contribute to disparities, including: (a) administrative staff bias/discretion, (b) communication challenges, (c) patient/staff cultural discordance, (d) cost control, and (e) poor access to community resources. Participants reported that bias can influence staff at all levels and is expressed via poor coverage of predominantly minority service areas, resulting in reduced intensity and continuity of service for minority patients.

Examining implicit bias of physicians who care for individuals with spinal cord injury: A pilot study and future directions

CONTEXT

Despite evidence that healthcare providers have implicit biases that can impact clinical interactions and decisions, implicit bias among physicians caring for individuals with spinal cord injury (SCI) has not been examined.

OBJECTIVE

Conduct a pilot study to examine implicit racial bias of SCI physicians and its association with functioning and wellbeing for individuals with SCI.

DESIGN

Combined data from cross-sectional surveys of individuals with SCI and their SCI physicians.

SETTING

Four national SCI Model Systems sites.

PARTICIPANTS

Individuals with SCI (N = 162) and their SCI physicians (N = 14).

OUTCOME MEASURES

SCI physicians completed online surveys measuring implicit racial (pro-white/anti-black) bias. Individuals with SCI completed questionnaires assessing mobility, physical independence, occupational functioning, social integration, self-reported health, depression, and life satisfaction. We used multilevel regression analyses to examine the associations of physician bias and outcomes of individuals with SCI.

RESULTS

Physicians had a mean bias score of 0.62 (SD = 0.35), indicating a strong pro-white/anti-black bias. Greater physician bias was associated with disability among individuals with SCI in the domain of social integration (odds ratio = 4.80, 95% confidence interval (CI) = 1.44, 16.04), as well as higher depression (B = 3.24, 95% CI = 1.06, 5.41) and lower life satisfaction (B = -4.54, 95% CI= -8.79, -0.28).

CONCLUSION

This pilot study indicates that SCI providers are susceptible to implicit racial bias and provides preliminary evidence that greater implicit racial bias of physicians is associated with poorer psychosocial health outcomes for individuals with SCI. It demonstrates the feasibility of studying implicit bias among SCI providers and provides guidance for future research on physician bias and patient outcomes.

Cultural competence in medical education: aligning the formal, informal and hidden curricula

The concept of cultural competence has become reified by inclusion as an accreditation standard in the US and Canada, in New Zealand it is demanded through an Act of Parliament, and it pervades discussion in Australian medical education discourse. However, there is evidence that medical graduates feel poorly prepared to deliver cross-cultural care (Weissman et al. in J Am Med Assoc 294(9):1058-1067, 2005) and many commentators have questioned the effectiveness of cultural competence curricula. In this paper we apply Hafferty's taxonomy of curricula, the formal, informal and hidden curriculum (Hafferty in Acad Med 73(4):403-407, 1998), to cultural competence. Using an example across each of these curricular domains, we highlight the need for curricular congruence to support cultural competence development among learners. We argue that much of the focus on cultural competence has been in the realm of formal curricula, with existing informal and hidden curricula which may be at odds with the formal curriculum. The focus of the formal, informal and hidden curriculum, we contend, should be to address disparities in health care outcomes. In conclusion, we suggest that without congruence between formal, informal and hidden curricula, approaches to addressing disparity in health care outcomes in medical education may continue to represent reform without change.

Physicians' knowledge, beliefs, and use of race and human genetic variation: new measures and insights

BACKGROUND

Understanding physician perspectives on the intersection of race and genomics in clinical decision making is critical as personalized medicine and genomics become more integrated in health care services. There is a paucity of literature in the United States of America (USA) and globally regarding how health care providers understand and use information about race, ethnicity and genetic variation in their clinical decision making. This paper describes the development of three scales related to addressing this gap in the literature: the Bonham and Sellers Genetic Variation Knowledge Assessment Index--GKAI, Health Professionals Beliefs about Race-HPBR, and Racial Attributes in Clinical Evaluation-RACE scales.

METHODS

A cross-sectional, web survey of a national random sample of general internists in the USA (N = 787) was conducted. Confirmatory factor analysis was used to assess the construct validity of the scales. Scale items were developed through focus groups, cognitive interviews, expert advisory panels, and exploratory factor analysis of pilot data.

RESULTS

GKAI was measured as a count of correct answers (Mean = 3.28 SD = 1.17). HPBR yielded two domains: beliefs about race as a biological phenomenon (HPBR-BD, alpha = .69, 4 items) and beliefs about the clinical value of race and genetic variation for understanding risk for disease (HPBR-CD alpha = .61, 3 items). RACE yielded one factor (alpha = .86, 7 items).

CONCLUSIONS

GKAI is a timely knowledge scale that can be used to assess health professional knowledge of race and human genetic variation. HPBR is a promising new tool for assessing health professionals' beliefs about the role of race and its relationship with human genetic variation in clinical practice. RACE offers a valid and reliable tool for assessing explicit use of racial attributes in clinical decision making.

Unconscious race and class bias: its association with decision making by trauma and acute care surgeons

BACKGROUND

Recent studies have found that unconscious biases may influence physicians' clinical decision making. The objective of our study was to determine, using clinical vignettes, if unconscious race and class biases exist specifically among trauma/acute care surgeons and, if so, whether those biases impact surgeons' clinical decision making.

METHODS

A prospective Web-based survey was administered to active members of the Eastern Association for the Surgery of Trauma. Participants completed nine clinical vignettes, each with three trauma/acute care surgery management questions. Race Implicit Association Test (IAT) and social class IAT assessments were completed by each participant. Multivariable, ordered logistic regression analysis was then used to determine whether implicit biases reflected on the IAT tests were associated with vignette responses.

RESULTS

In total, 248 members of the Eastern Association for the Surgery of Trauma participated. Of these, 79% explicitly stated that they had no race preferences and 55% stated they had no social class preferences. However, 73.5% of the participants had IAT scores demonstrating an unconscious preference toward white persons; 90.7% demonstrated an implicit preference toward upper social class persons. Only 2 of 27 vignette-based clinical decisions were associated with patient race or social class on univariate analyses. Multivariable analyses revealed no relationship between IAT scores and vignette-based clinical assessments.

CONCLUSION

Unconscious preferences for white and upper-class persons are prevalent among trauma and acute care surgeons. In this study, these biases were not statistically significantly associated with clinical decision making. Further study of the factors that may prevent implicit biases from influencing patient management is warranted.

LEVEL OF EVIDENCE

Epidemiologic study, level II.

An investigation of associations between clinicians' ethnic or racial bias and hypertension treatment, medication adherence and blood pressure control

BACKGROUND

Few studies have directly investigated the association of clinicians' implicit (unconscious) bias with health care disparities in clinical settings.

OBJECTIVE

To determine if clinicians' implicit ethnic or racial bias is associated with processes and outcomes of treatment for hypertension among black and Latino patients, relative to white patients.

RESEARCH DESIGN AND PARTICIPANTS

Primary care clinicians completed Implicit Association Tests of ethnic and racial bias. Electronic medical records were queried for a stratified, random sample of the clinicians' black, Latino and white patients to assess treatment intensification, adherence and control of hypertension. Multilevel random coefficient models assessed the associations between clinicians' implicit biases and ethnic or racial differences in hypertension care and outcomes.

MAIN MEASURES

Standard measures of treatment intensification and medication adherence were calculated from pharmacy refills. Hypertension control was assessed by the percentage of time that patients met blood pressure goals recorded during primary care visits.

KEY RESULTS

One hundred and thirty-eight primary care clinicians and 4,794 patients with hypertension participated. Black patients received equivalent treatment intensification, but had lower medication adherence and worse hypertension control than white patients; Latino patients received equivalent treatment intensification and had similar hypertension control, but lower medication adherence than white patients. Differences in treatment intensification, medication adherence and hypertension control were unrelated to clinician implicit bias for black patients (P = 0.85, P = 0.06 and P = 0.31, respectively) and for Latino patients (P = 0.55, P = 0.40 and P = 0.79, respectively). An increase in clinician bias from average to strong was associated with a relative change of less than 5 % in all outcomes for black and Latino patients.

CONCLUSIONS

Implicit bias did not affect clinicians' provision of care to their minority patients, nor did it affect the patients' outcomes. The identification of health care contexts in which bias does not impact outcomes can assist both patients and clinicians in their efforts to build trust and partnership.

Wealth, health, and the moderating role of implicit social class bias

BACKGROUND

Subjective social status (captured by the MacArthur Scale of Subjective Social Status) is in many cases a stronger predictor of health outcomes than objective socioeconomic status (SES).

PURPOSE

The study aims to test whether implicit beliefs about social class moderate the relationship between subjective social status and inflammation.

METHODS

We measured implicit social class bias, subjective social status, SES, and baseline levels of interleukin-6 (IL-6), a marker of inflammation, in 209 healthy adults.

RESULTS

Implicit social class bias significantly moderated the relationship between subjective social status and levels of IL-6, with a stronger implicit association between the concepts "lower class" and "bad" predicting greater levels of IL-6.

CONCLUSIONS

Implicit social class bias moderates the relationship between subjective social status and health outcomes via regulation of levels of the inflammatory cytokine IL-6. High implicit social class bias, particularly when one perceives oneself as having low social standing, may increase vulnerability to inflammatory processes.

Implicit and explicit weight bias in a national sample of 4,732 medical students: the medical student CHANGES study

OBJECTIVE

To examine the magnitude of explicit and implicit weight biases compared to biases against other groups; and identify student factors predicting bias in a large national sample of medical students.

METHODS

A web-based survey was completed by 4,732 1st year medical students from 49 medical schools as part of a longitudinal study of medical education. The survey included a validated measure of implicit weight bias, the implicit association test, and 2 measures of explicit bias: a feeling thermometer and the anti-fat attitudes test.

RESULTS

A majority of students exhibited implicit (74%) and explicit (67%) weight bias. Implicit weight bias scores were comparable to reported bias against racial minorities. Explicit attitudes were more negative toward obese people than toward racial minorities, gays, lesbians, and poor people. In multivariate regression models, implicit and explicit weight bias was predicted by lower BMI, male sex, and non-Black race. Either implicit or explicit bias was also predicted by age, SES, country of birth, and specialty choice.

CONCLUSIONS

Implicit and explicit weight bias is common among 1st year medical students, and varies across student factors. Future research should assess implications of biases and test interventions to reduce their impact.

The effect of cognitive load and patient race on physicians' decisions to prescribe opioids for chronic low back pain: a randomized trial

OBJECTIVE

To test the hypothesis that racial biases in opioid prescribing would be more likely under high levels of cognitive load, defined as the amount of mental activity imposed on working memory, which may come from environmental factors such as stressful conditions, chaotic workplace, staffing insufficiency, and competing demands, one's own psychological or physiological state, as well as from demands inherent in the task at hand.

DESIGN

Two (patient race: White vs Black) by two (cognitive load: low vs high) between-subjects factorial design.

SETTING AND PARTICIPANTS

Ninety-eight primary care physicians from the Veterans Affairs Healthcare System.

METHODS

Web-based experimental study. Physicians were randomly assigned to read vignettes about either a Black or White patient, under low vs high cognitive load, and to indicate their likelihood of prescribing opioids. High cognitive load was induced by having physicians perform a concurrent task under time pressure.

RESULTS

There was a three-way interaction between patient race, cognitive load, and physician gender on prescribing decisions (P = 0.034). Hypotheses were partially confirmed. Male physicians were less likely to prescribe opioids for Black than White patients under high cognitive load (12.5% vs 30.0%) and were more likely to prescribe opioids for Black than White patients under low cognitive load (30.8% vs 10.5%). By contrast, female physicians were more likely to prescribe opioids for Black than White patients in both conditions, with greater racial differences under high (39.1% vs 15.8%) vs low cognitive load (28.6% vs 21.7%).

CONCLUSIONS

Physician gender affected the way in which patient race and cognitive load influenced decisions to prescribe opioids for chronic pain. Future research is needed to further explore the potential effects of physician gender on racial biases in pain treatment, and the effects of physician cognitive load on pain treatment.

Racial bias in pain perception and response: experimental examination of automatic and deliberate processes

Racial disparities in pain treatment pose a significant public health and scientific problem. Prior studies have demonstrated that clinicians and nonclinicians are less perceptive of, and suggest less treatment for, the pain of African Americans relative to European Americans. Here we investigate the effects of explicit/implicit patient race presentation, patient race, and perceiver race on pain perception and response. African American and European American participants rated pain perception, empathy, helping motivation, and treatment suggestion in response to vignettes about patients' pain. Vignettes were accompanied by a rapid (implicit) or static (explicit) presentation of an African or European American patient's face. Participants perceived and responded more to European American patients in the implicit prime condition, when the effect of patient race was below the level of conscious regulation. This effect was reversed when patient race was presented explicitly. Additionally, female participants perceived and responded more to the pain of all patients, relative to male participants, and in the implicit prime condition, African American participants were more perceptive and responsive than European Americans to the pain of all patients. Taken together, these results suggest that known disparities in pain treatment may be largely due to automatic (below the level of conscious regulation) rather than deliberate (subject to conscious regulation) biases. These biases were not associated with traditional implicit measures of racial attitudes, suggesting that biases in pain perception and response may be independent of general prejudice.

PERSPECTIVE

Results suggest that racial biases in pain perception and treatment are at least partially due to automatic processes. When the relevance of patient race is made explicit, however, biases are attenuated and even reversed. We also find preliminary evidence that African Americans may be more sensitive to the pain of others than are European Americans.

Implicit bias and its relation to health disparities: a teaching program and survey of medical students

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.

The spectre of race in American medicine

Controversies and debates surrounding race have long been a fixture in American medicine. In the past, the biological concept of race-the idea that race is biologically determined and meaningful-has served to justify the institution of slavery and the conduct of unethical research trials. Although these days may seem far behind, contemporary debates over the race-specific approval of drugs and the significance of genetic differences are evidence that race still yields tremendous influence on medical research and clinical practice. In many ways, the use of race in medicine today reflects the internalisation of racial hierarchies borne out of the history of slavery and state-mandated segregation, and there is still much uncertainty over its benefits and harms. Although using race in research can help elucidate disparities, the reflexive use of race as a variable runs the risk of reifying the biological concept of race and blinding researchers to important underlying factors such as socioeconomic status. Similarly, in clinical practice, the use of race in assessing a patient's risk of certain conditions (eg, sickle cell) turns harmful when the heuristic becomes a rule. Through selected historical and contemporary examples, I aim to show how the biological concept of race that gave rise to past abuses remains alive and harmful, and propose changes in medical education as a potential solution. By learning from the past, today's physicians will be better armed to discern-and correct-the ways in which contemporary medicine perpetuates historical injustices.

Socioeconomic disparity in inpatient mortality after traumatic injury in adults

BACKGROUND

Prior studies have demonstrated that race and insurance status predict inpatient trauma mortality, but have been limited by their inability to adjust for direct measures of socioeconomic status (SES) and comorbidities. Our study aimed to identify whether a relationship exists between SES and inpatient trauma mortality after adjusting for known confounders.

METHODS

Trauma patients aged 18-65 years with an Injury Severity Scores (ISS) of ≥9 were identified using the 2003-2009 Nationwide Inpatient Sample. Median household income (MHI) by zip code, available by quartiles, was used to measure SES. Multiple logistic regression analyses were performed to determine odds of inpatient mortality by MHI quartile, adjusting for ISS, type of injury, comorbidities, and patient demographics.

RESULTS

In all, 267,621 patients met inclusion criteria. Patients in lower wealth quartiles had significantly greater unadjusted inpatient mortality compared with the wealthiest quartile. Adjusted odds of death were also higher compared with the wealthiest quartile for Q1 (odds ratio [OR], 1.13; 95% confidence interval [CI], 1.06-1.20), Q2 (OR, 1.09; 95% CI, 1.02-1.17), and Q3 (OR, 1.11; 95% CI, 1.04-1.19).

CONCLUSION

MHI predicts inpatient mortality after adult trauma, even after adjusting for race, insurance status, and comorbidities. Efforts to mitigate trauma disparities should address SES as an independent predictor of outcomes.

Racism and Health I: Pathways and Scientific Evidence

This article reviews the scientific research that indicates that despite marked declines in public support for negative racial attitudes in the United States, racism, in its multiple forms, remains embedded in American society. The focus of the article is on the review of empirical research that suggests that racism adversely affects the health of non-dominant racial populations in multiple ways. First, institutional racism developed policies and procedures that have reduced access to housing, neighborhood and educational quality, employment opportunities and other desirable resources in society. Second, cultural racism, at the societal and individual level, negatively affects economic status and health by creating a policy environment hostile to egalitarian policies, triggering negative stereotypes and discrimination that are pathogenic and fostering health damaging psychological responses such as stereotype threat and internalized racism. Finally, a large and growing body of evidence indicates that experiences of racial discrimination are an important type of psychosocial stressor that can lead to adverse changes in health status and altered behavioural patterns that increase health risks.

Are medical students aware of their anti-obesity bias?

PURPOSE

Anti-obesity prejudices affect the quality of care obese individuals receive. The authors sought to determine the prevalence of weight-related biases among medical students and whether they were aware of their biases.

METHOD

Between 2008 and 2011, the authors asked all third-year medical students at Wake Forest School of Medicine to complete the Weight Implicit Association Test (IAT), a validated measure of implicit preferences for "fat" or "thin" individuals. Students also answered a semantic differential item assessing their explicit weight-related preferences. The authors determined students' awareness of their biases by examining the correlation between students' explicit preferences and their IAT scores.

RESULTS

Of 354 medical students, 310 (88%) completed valid surveys and consented to participate. Overall, 33% (101/310) self-reported a significant ("moderate" or "strong") explicit anti-fat bias. No students self-reported a significant explicit anti-thin bias. According to the IAT scores, over half of students had a significant implicit weight bias: 39% (121/310) had an anti-fat bias and 17% (52/310) an anti-thin bias. Two-thirds of students (67%, 81/121) were unaware of their implicit anti-fat bias. Only male gender predicted an explicit anti-fat bias (odds ratio 3.0, 95% confidence interval 1.8-5.3). No demographic factors were associated with an implicit anti-fat bias. Students' explicit and implicit biases were not correlated (Pearson r = 0.03, P = .58).

CONCLUSIONS

Over one-third of medical students had a significant implicit anti-fat bias; few were aware of that bias. Accordingly, medical schools' obesity curricula should address weight-related biases and their potential impact on care.

Counting the lives lost: how many black trauma deaths are attributable to disparities?

BACKGROUND

The number of black trauma deaths attributable to racial disparities is unknown. The objective of this study was to quantify the excess mortality experienced by black patients given disparities in the risk of mortality.

MATERIALS AND METHODS

We performed a retrospective analysis of patients aged 16-65 y with blunt and penetrating injuries, who were included in the National Trauma Data Bank from 2007-2010. Generalized linear modeling estimated the relative risk of death for black patients versus white patients, adjusting for known confounders. This analysis determined the difference in the observed number of black trauma deaths at Level I and II centers and the expected number of deaths if the risk of mortality for black patients had been equivalent to that of white patients.

RESULTS

A total of 1.06 million patients were included. Among patients with blunt and penetrating injuries at Level I trauma centers, white males and females had a relative risk of death of 0.82 (95% confidence interval [CI], 0.80-0.85) and 0.78 (95% CI, 0.74-0.83), respectively, compared with black patients. Similarly, at Level II trauma centers, white males and females had a relative risk of death of 0.84 (95% CI, 0.80-0.88) and 0.82 (95% CI, 0.73-0.91). Overall, of the estimated 41,613 deaths that occurred at Level I and II centers, 2206 (5.3%) were excess deaths among black patients.

CONCLUSIONS

Over a 4-y period, approximately 5% of trauma center deaths could be attributed to racial disparities in trauma outcomes. These data underscore the need to better understand and intervene against the mechanisms that lead to trauma outcomes disparities.

Intergroup relations and health disparities: a social psychological perspective

OBJECTIVE

This article considers how the social psychology of intergroup processes helps to explain the presence and persistence of health disparities between members of socially advantaged and disadvantaged groups.

METHOD

Social psychological theory and research on intergroup relations, including prejudice, discrimination, stereotyping, stigma, prejudice concerns, social identity threat, and the dynamics of intergroup interactions, is reviewed and applied to understand group disparities in health and health care. Potential directions for future research are considered.

RESULTS

Key features of group relations and dynamics, including social categorization, social hierarchy, and the structural positions of groups along dimensions of perceived warmth and competence, influence how members of high status groups perceive, feel about, and behave toward members of low status groups, how members of low status groups construe and cope with their situation, and how members of high and low status groups interact with each other. These intergroup processes, in turn, contribute to health disparities by leading to differential exposure to and experiences of chronic and acute stress, different health behaviors, and different quality of health care experienced by members of advantaged and disadvantaged groups. Within each of these pathways, social psychological theory and research identifies mediating mechanisms, moderating factors, and individual differences that can affect health.

CONCLUSIONS

A social psychological perspective illuminates the intergroup, interpersonal, and intrapersonal processes by which structural circumstances which differ between groups for historical, political, and economic reasons can lead to group differences in health.

The effect of socioeconomic status on access to primary care: an audit study

BACKGROUND

Health care office staff and providers may discriminate against people of low socioeconomic status, even in the absence of economic incentives to do so. We sought to determine whether socioeconomic status affects the response a patient receives when seeking a primary care appointment.

METHODS

In a single unannounced telephone call to a random sample of family physicians and general practices (n = 375) in Toronto, Ontario, a male and a female researcher each played the role of a patient seeking a primary care physician. Callers followed a script suggesting either high (i.e., bank employee transferred to the city) or low (i.e., recipient of social assistance) socioeconomic status, and either the presence or absence of chronic health conditions (diabetes and low back pain). We randomized the characteristics of the caller for each office. Our primary outcome was whether the caller was offered an appointment.

RESULTS

The proportion of calls resulting in an appointment being offered was significantly higher when the callers presented themselves as having high socioeconomic status than when they presented as having low socioeconomic status (22.6% v.14.3%, p = 0.04) and when the callers stated the presence of chronic health conditions than when they did not (23.5% v. 12.8%, p = 0.008). In a model adjusted for all independent variables significant at a p value of 0.10 or less (presence of chronic health conditions, time since graduation from medical school and membership in the College of Family Physicians of Canada), high socioeconomic status was associated with an odds ratio of 1.78 (95% confidence interval 1.02-3.08) for the offer of an appointment. Socioeconomic status and chronic health conditions had independent effects on the likelihood of obtaining an appointment.

INTERPRETATION

Within a universal health insurance system in which physician reimbursement is unaffected by patients' socioeconomic status, people presenting themselves as having high socioeconomic status received preferential access to primary care over those presenting themselves as having low socioeconomic status.

Clinicians' implicit ethnic/racial bias and perceptions of care among Black and Latino patients

PURPOSE

We investigated whether clinicians' explicit and implicit ethnic/racial bias is related to black and Latino patients' perceptions of their care in established clinical relationships.

METHODS

We administered a telephone survey to 2,908 patients, stratified by ethnicity/race, and randomly selected from the patient panels of 134 clinicians who had previously completed tests of explicit and implicit ethnic/racial bias. Patients completed the Primary Care Assessment Survey, which addressed their clinicians' interpersonal treatment, communication, trust, and contextual knowledge. We created a composite measure of patient-centered care from the 4 subscales.

RESULTS

Levels of explicit bias were low among clinicians and unrelated to patients' perceptions. Levels of implicit bias varied among clinicians, and those with greater implicit bias were rated lower in patient-centered care by their black patients as compared with a reference group of white patients (P = .04). Latino patients gave the clinicians lower ratings than did other groups (P <.0001), and this did not depend on the clinicians' implicit bias (P = .98).

CONCLUSIONS

This is among the first studies to investigate clinicians' implicit bias and communication processes in ongoing clinical relationships. Our findings suggest that clinicians' implicit bias may jeopardize their clinical relationships with black patients, which could have negative effects on other care processes. As such, this finding supports the Institute of Medicine's suggestion that clinician bias may contribute to health disparities. Latinos' overall greater concerns about their clinicians appear to be based on aspects of care other than clinician bias.

Assessment of biases against Latinos and African Americans among primary care providers and community members

OBJECTIVES

We assessed implicit and explicit bias against both Latinos and African Americans among experienced primary care providers (PCPs) and community members (CMs) in the same geographic area.

METHODS

Two hundred ten PCPs and 190 CMs from 3 health care organizations in the Denver, Colorado, metropolitan area completed Implicit Association Tests and self-report measures of implicit and explicit bias, respectively.

RESULTS

With a 60% participation rate, the PCPs demonstrated substantial implicit bias against both Latinos and African Americans, but this was no different from CMs. Explicit bias was largely absent in both groups. Adjustment for background characteristics showed the PCPs had slightly weaker ethnic/racial bias than CMs.

CONCLUSIONS

This research provided the first evidence of implicit bias against Latinos in health care, as well as confirming previous findings of implicit bias against African Americans. Lack of substantive differences in bias between the experienced PCPs and CMs suggested a wider societal problem. At the same time, the wide range of implicit bias suggested that bias in health care is neither uniform nor inevitable, and important lessons might be learned from providers who do not exhibit bias.

Racial disparities in Medicaid patients after brain tumor surgery

The presence of healthcare-related disparities is an ongoing, widespread, and well-documented societal and health policy issue. We investigated the presence of racial disparities among post-operative patients either with meningioma or malignant, benign, or metastatic brain tumors. We used the Medicaid component of the Thomson Reuter's MarketScan database from 2000 to 2009. Univariate and multivariate analysis assessed death, 30-day post-operative risk of complications, length of stay, and total charges. We identified 2321 patients, 73.7% were Caucasian, 57.8% were women; with Charlson comorbidity scores of <3 (56.2%) and treated at low-volume centers (73.4%). Among all, 26.3% of patients were of African-American ethnicity and 22.1% had meningiomas. Mortality was 2.0%, mean length of stay (LOS) was 9 days, mean total charges were US$42,422, an adverse discharge occurred in 22.5% of patients, and overall 30-day complication rate was 23.4%. In a multivariate analysis, African-American patients with meningiomas had higher odds of developing a 30-day complication (p=0.05) and were significantly more likely to have longer LOS (p<0.001) and greater total charges (p<0.001) relative to Caucasian counterparts. The presence of one post-operative complication doubled LOS and nearly doubled total charges, while the presence of two post-operative complications tripled these outcomes. Patients of African-American ethnicity had significantly higher post-operative complications than those of Caucasian ethnicity. This higher rate of complications seems to have driven greater healthcare utilization, including greater LOS and total charges, among African-American patients. Interventions aimed at reducing complications among African-American patients with brain tumor may help reduce post-operative disparities.

Disparities in mortality after blunt injury: does insurance type matter?

BACKGROUND

Insurance-related outcomes disparities are well-known, but associations between distinct insurance types and trauma outcomes remain unclear. Prior studies have generally merged various insurance types into broad groups. The purpose of this study is to determine the association of specific insurance types with mortality after blunt injury.

MATERIALS AND METHODS

Cases of blunt injury among adults aged 18-64 y with an injury severity score >9 were identified using the 2007-2009 National Trauma Data Bank. Crude mortality was calculated for 10 insurance types. Multivariable logistic regression was employed to determine difference in odds of death between insurance types, controlling for injury severity score, Glasgow Coma Scale motor, mechanism of injury, sex, race, and hypotension. Clustering was used to account for possible inter-facility variations.

RESULTS

A total of 312,312 cases met inclusion criteria. Crude mortality ranged from 3.2 to 6.0% by insurance type. Private Insurance, Blue Cross Blue Shield, Workers Compensation, and Medicaid yielded the lowest relative odds of death, while Not Billed and Self Pay yielded the highest. Compared with Private Insurance, odds of death were higher for No Fault (OR 1.25, P = 0.022), Not Billed (OR 1.77, P < 0.001), and Self Pay (OR 1.77, P < 0.001). Odds of death were higher for Medicare (OR 1.52, P < 0.001) and Other Government (OR 1.35, P = 0.049), while odds of death were lower for Medicaid (OR 0.89, P = 0.015).

CONCLUSIONS

Significant differences in mortality after blunt injury were seen between insurance types, even among those commonly grouped in other studies. Policymakers may use this information to implement programs to monitor and reduce insurance-related disparities.

The state of research on racial/ethnic discrimination in the receipt of health care

OBJECTIVES

We conducted a review to examine current literature on the effects of interpersonal and institutional racism and discrimination occurring within health care settings on the health care received by racial/ethnic minority patients.

METHODS

We searched the PsychNet, PubMed, and Scopus databases for articles on US populations published between January 1, 2008 and November 1, 2011. We used various combinations of the following search terms: discrimination, perceived discrimination, race, ethnicity, racism, institutional racism, stereotype, prejudice or bias, and health or health care. Fifty-eight articles were reviewed.

RESULTS

Patient perception of discriminatory treatment and implicit provider biases were the most frequently examined topics in health care settings. Few studies examined the overall prevalence of racial/ethnic discrimination and none examined temporal trends. In general, measures used were insufficient for examining the impact of interpersonal discrimination or institutional racism within health care settings on racial/ethnic disparities in health care.

CONCLUSIONS

Better instrumentation, innovative methodology, and strategies are needed for identifying and tracking racial/ethnic discrimination in health care settings.

Under the radar: how unexamined biases in decision-making processes in clinical interactions can contribute to health care disparities

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.

Predictors of primary care physicians' self-reported intention to conduct suicide risk assessments

Primary care physicians play a significant role in depression care, suicide assessment, and suicide prevention. However, little is known about what factors relate to and predict quality of depression care (assessment, diagnosis, and treatment), including suicide assessment. The authors explored the extent to which select patient and physician factors increase the probability of one element of quality of care: namely, intention to conduct suicide assessment. Data were collected from 404 randomly selected primary care physicians after their interaction with CD-ROM vignettes of actors portraying major depression with moderate levels of severity. The authors examined which patient factors and physician factors increase the likelihood of physicians' intention to conduct a suicide assessment. Data from the study revealed that physician-participants inquired about suicide 36% of the time. A random effects logistic model indicated that several factors were predictive of physicians' intention to conduct a suicide assessment: patient's comorbidity status (odds ratio (OR) = 0.61; 95% confidence interval (CI) = 0.37-1.00), physicians' age (OR = 0.67; 95% CI = 0.49-0.92), physicians' race (OR = 1.84; 95% CI = 1.08-3.13), and how depressed the physician perceived the virtual patient to be (OR = 0.58; 95% CI = 0.39-0.87). A substantial number of primary care physicians in this study indicated they would not assess for suicide, even though most physicians perceived the virtual patient to be depressed or very depressed. Further study is needed to establish factors that may be modified and targeted to increase the likelihood of physicians' providing one element of quality of care--suicide assessment--for depressed patients.

Health disparities: gaps in access, quality and affordability of medical care

Health disparities, which are sometimes referred to as health inequities, have garnered an increasing amount of attention from physicians and health policy experts, as well as a renewed focus from federal health agencies. As a complex and multi-factorial construct, differential access to medical care, treatment modalities, and disparate outcomes among various racial and ethnic groups has been validated in numerous studies. The antecedents of such differences involve such "drivers" as cost and access to the healthcare system, primary care physicians, and preventive health services. In addition, the subtle role of bias in creating and/or exacerbating health disparities is well documented in the literature. This article highlights the dimensions and extent of health inequities and emphasizes the challenges facing physicians and others in addressing them.