Effectiveness of the uChicago Health Inequity Classification System on surgical morbidity and mortality conference: A pilot study.

BACKGROUND: Across surgery, marginalized individuals experience worse postoperative outcomes. These disparities stem from the interplay between multiple factors. METHODS: We introduced a novel framework to assess the role of barriers to access and bias in surgical complications (the uChicago Health Inequity Classification System, CHI-CS) in the setting of morbidity and mortality conference and assessed impact through pre and post implementation surveys. RESULTS: Access and bias were related to surgical complications in 14 â€‹% of cases. 97 â€‹% reported enhanced M&M presentations with the grading system, and 47 â€‹% reported a change in decision-making or practice style. Although post-implementation response rate was low, there were improvements in self-reported confidence and comfort in recognizing and discussing these issues. CONCLUSIONS: Implementation of the CHI-CS framework to discuss bias and access to care positively impacted the way providers view, discuss, and process health inequities.

Initial evidence of reliability and validity of an implicit association test assessing attitudes toward individuals who use substances.

Background: Substance use disorders (SUDs) are stigmatized conditions, with individual biases driving poor health outcomes. There are surprisingly few validated measures of bias or stigma toward individuals who use substances. Bias can be classified as explicit (self-report) or implicit (behaviorally based).Objectives: The goal of the present study was to establish preliminary indices of reliability and validity of an implicit association test (IAT) designed to measure implicit bias toward individuals who use substances.Methods: A large United States-based, crowd-sourced sample (n = 394, 51.5% male, 45.4% female, 2.5% nonbinary) completed the IAT and a small battery of survey instruments that assessed social distance to mental illness (including heroin use), attitude toward and perceived controllability of injection drug use, perception of public stigma, and social desirability.Results: Nearly all (92%; n = 363) scores on the IAT indicated greater negative than positive attitudes toward those who use substances. Spearman-Brown corrected split-half reliability on the IAT scores was excellent, r = .953. Controlling for social desirability, IAT scores positively correlated with all included measures pertaining to substance use as well as social distance for heroin and schizophrenia (but not diabetes). A principal component analysis resulted in two interpretable components representing disapproval (perceived controllability and negative attitudes) and perceived stigma (social stigma and social distance). Scores on the IAT positively correlated to scores on both components, again, controlling for social desirability.Conclusion: These results provide compelling preliminary evidence of validity of an IAT designed to measure bias toward individuals who use substances.

Caught between pity, explicit bias, and discrimination: a qualitative study on the impact of stigma on the quality of life of persons living with sickle cell disease in three African countries.

PURPOSE: Sickle cell disease (SCD) is an inherited blood disorder characterized by unpredictable episodes of acute pain and numerous health complications. Individuals with SCD often face stigma from the public, including perceptions that they are lazy or weak tending to exaggerate their pain crisis, which can profoundly impact their quality of life (QoL). METHODS: In a qualitative phenomenological study conducted in Cameroon, Ghana, and Tanzania, we explored stakeholders' perceptions of SCD-related stigma using three analytical frameworks: Bronfenbrenner's Ecological Systems Theory; The Health Stigma and Discriminatory Framework; and A Public Health Framework for Reducing Stigma. RESULTS: The study reveals that SCD-related stigma is marked by prejudice, negative labelling and social discrimination, with derogatory terms such as sickler, ogbanje (one who comes and goes), sika besa (money will finish), ene mewu (I can die today, I can die tomorrow), vampire (one who consumes human blood), and Efiewura (landlord-of the hospital), commonly used to refer to individuals living with SCD. Drivers of stigma include frequent crises and hospitalizations, distinct physical features of individuals living with SCD, cultural misconceptions about SCD and its association with early mortality. Proposed strategies for mitigating stigma include public health education campaigns about SCD, integrating SCD into school curricula, healthcare worker training and community engagement. CONCLUSION: The results highlight the importance of challenging stigmatizing narratives on SCD and recognizing that stigmatization represents a social injustice that significantly diminishes the QoL of individuals living with SCD.

Racial disparities in cancer genetic counseling encounters: study protocol for investigating patient-genetic counselor communication in the naturalistic clinical setting using a convergent mixed methods design.

BACKGROUND: Despite decades of effort to reduce racial cancer disparities, Black people continue to die at higher rates from cancer than any other U.S. racial group. Because prevention is a key to the cost-effective and long-term control of cancer, the potential for cancer genetic counseling to play a central role in reducing racial cancer disparities is high. However, the benefits of genetic counseling are not equitable across race. Only 2% of genetic counselors self-identify as Black/African American, so most genetic counseling encounters with Black patients are racially discordant. Patients in racially discordant medical interactions tend to have poorer quality patient-provider communication and receive suboptimal clinical recommendations. One major factor that contributes to these healthcare disparities is racial bias. Drawing on findings from prior research, we hypothesize that genetic counselor providers' implicit racial prejudice will be associated negatively with the quality of patient-provider communication, while providers' explicit negative racial stereotypes will be associated negatively with the comprehensiveness of clinical discussions of cancer risk and genetic testing for Black (vs. White) patients. METHODS: Using a convergent mixed methods research design, we will collect data from at least 15 genetic counseling providers, from two different institutions, and their 220 patients (approximately equal number of Black and White patients per provider) whose appointments are for a hereditary cancer condition. The data sources will include two provider surveys, two patient surveys, video- and/or audio-recordings of genetic counseling encounters, and medical chart reviews. The recorded cancer genetic counseling in-person and telehealth encounters will be analyzed both qualitatively and quantitatively to assess the quality of patient-provider communication and the comprehensiveness of clinical discussion. Those data will be linked to pre- and post-encounter survey data and data from medical chart reviews to test our hypotheses. DISCUSSION: Findings from this multi-site study will highlight specific aspects of cancer genetic counseling encounters (patient-provider communication and clinical recommendations) that are directly associated with patient-centered outcomes (e.g., satisfaction, trust, genetic testing completion). Patient-provider communication and clinical recommendations are modifiable factors that can be integrated into current genetic counseling training curricula and thus can have immediate impact on genetic counseling training and practice.

A Case of a Micronesian Woman in Hawai'i with Lymphoma and the Role of Implicit Bias in Medicine Affecting Her Care.

Medically indigent patients, patients of color, those with insufficient health insurance, or patients with severe diseases have a high rate of poor health care quality caused by unconscious implicit and explicit biases. Awareness of the relationship between unconscious implicit bias and negative health care outcomes is increasing in the health care community. The objective of this case study was to examine implicit biases that negatively affected the patient care of a young Micronesian woman with a severe cutaneous disease in Hawai'i. Her medical care and death may have been affected by a combination of implicit biases, including bias based on her race, type of health insurance, and underlying disease. Implicit biases and their role in health care disparities are often unintentional and not obvious. Increased awareness by health care providers may help to avoid inequities in clinical decision-making and improve outcomes.

Bias in Surgical Residency Evaluations: A Scoping Review.

OBJECTIVE: Given widespread disparities in the surgical workforce and the advent of competency-based training models that rely on objective evaluations of resident performance, this review aims to describe the landscape of bias in the evaluation methods of residents in surgical training programs in the United States. DESIGN: A scoping review was conducted within PubMed, Embase, Web of Science, and ERIC in May 2022, without a date restriction. Studies were screened and reviewed in duplicate by 3 reviewers. Data were described descriptively. SETTING/PARTICIPANTS: English-language studies conducted in the United States that assessed bias in the evaluation of surgical residents were included. RESULTS: The search yielded 1641 studies, of which 53 met inclusion criteria. Of the included studies, 26 (49.1%) were retrospective cohort studies, 25 (47.2%) were cross-sectional studies, and 2 (3.8%) were prospective cohort studies. The majority included general surgery residents (n = 30, 56.6%) and nonstandardized examination modalities (n = 38, 71.7%), such as video-based skills evaluations (n = 5, 13.2%). The most common performance metric evaluated was operative skill (n = 22, 41.5%). Overall, the majority of studies demonstrated bias (n = 38, 73.6%) and most investigated gender bias (n = 46, 86.8%). Most studies reported disadvantages for female trainees regarding standardized examinations (80.0%), self-evaluations (73.7%), and program-level evaluations (71.4%). Four studies (7.6%) assessed racial bias, of which all reported disadvantages for trainees underrepresented in surgery. CONCLUSIONS: Evaluation methods for surgery residents may be prone to bias, particularly with regard to female trainees. Research is warranted regarding other implicit and explicit biases, such as racial bias, as well as for nongeneral surgery subspecialties.

Provider implicit and explicit bias in person-centered maternity care: a cross-sectional study with maternity providers in Northern Ghana.

BACKGROUND: Person-centered maternity care (PCMC) has become a priority in the global health discourse on quality of care due to the high prevalence of disrespectful and lack of responsive care during facility-based childbirth. Although PCMC is generally sub-optimal, there are significant disparities. On average, women of low socioeconomic status (SES) tend to receive poorer PCMC than women of higher SES. Yet few studies have explored factors underlying these inequities. In this study, we examined provider implicit and explicit biases that could lead to inequitable PCMC based on SES. METHODS: Data are from a cross-sectional survey with 150 providers recruited from 19 health facilities in the Upper East region of Ghana from October 2020 to January 2021. Explicit SES bias was assessed using situationally-specific vignettes (low SES and high SES characteristics) on providers' perceptions of women's expectations, attitudes, and behaviors. Implicit SES bias was assessed using an Implicit Association Test (IAT) that measures associations between women's SES characteristics and providers' perceptions of women as 'difficult' or 'good'. Analysis included descriptive statistics, mixed-model ANOVA, and bivariate and multivariate linear regression. RESULTS: The average explicit bias score was 18.1 out of 28 (SD = 3.60) for the low SES woman vignette and 16.9 out of 28 (SD = 3.15) for the high SES woman vignette (p < 0.001), suggesting stronger negative explicit bias towards the lower SES woman. These biases manifested in higher agreement to statements such as the low SES woman in the vignette is not likely to expect providers to introduce themselves and is not likely to understand explanations. The average IAT score was 0.71 (SD = 0.43), indicating a significant bias in associating positive characteristics with high SES women and negative characteristics with low SES women. Providers with higher education had significantly lower explicit bias scores on the low SES vignette than those with less education. Providers in private facilities had higher IAT scores than those in government hospitals. CONCLUSIONS: The findings provide evidence of both implicit and explicit SES bias among maternity providers. These biases need to be addressed in interventions to achieve equity in PCMC and to improve PCMC for all women.

Race and Socioeconomic Bias in Pediatric Cardiac Transplantation.

BACKGROUND: To date, no studies evaluated implicit bias among clinicians caring for children with advanced heart failure. OBJECTIVES: This study aims to evaluate implicit racial and socioeconomic bias among pediatric heart transplant clinicians. METHODS: A cross-sectional survey of transplant clinicians from the Pediatric Heart Transplant Society was conducted between June and August 2021. The survey consisted of demographic questions along with explicit and validated race and socioeconomic status (SES) implicit association tests (IATs). Implicit and explicit biases among survey group members were studied and associations were tested between implicit and explicit measures. RESULTS: Of 500 members, 91 (18.2%) individuals completed the race IAT and 70 (14%) completed the SES IAT. Race IAT scores indicated moderate levels of implicit bias (mean = 0.33, d = 0.76; P < 0.001; ie, preference for White individuals). SES IAT scores indicated strong implicit bias (mean = 0.52, d = 1.53; P < 0.001; ie, preference for people from upper SES). There were weak levels of explicit race and wealth bias. There was a strong level of explicit education bias (mean = 5.22, d = 1.19; P < 0.001; ie, preference for educated people). There were nonsignificant correlations between the race and the SES IAT and explicit measures (P > 0.05 for all). CONCLUSIONS: As observed across other health care disciplines, among a group of pediatric heart transplant clinicians, there is an implicit preference for individuals who are White and from higher SES, and an explicit preference for educated people. Future studies should evaluate how implicit biases affect clinician behavior and assess the impact of efforts to reduce such biases.

Implicit bias predicts less willingness and less frequent adoption of Black children more than explicit bias.

In the United States, prospective adoptive parents often express preferences related to race. In two studies, we examined whether implicit racial bias against Black people may contribute to disparities in much less willingness to adopt Black children. The first study (N = 510) assessed individuals' implicit racial bias and their willingness to adopt a Black child. The second study (N = 2,001,652) used U.S. state-level implicit racial bias to predict adoption rates of Black foster children in each U.S. state. Greater implicit racial bias predicted less willingness to adopt Black children and less frequent adoptions of Black foster children. Implicit bias contributed to these disparities above and beyond explicit bias, with implicit bias having a 43% larger effect size than explicit bias on willingness to adopt a Black child. These are the first findings to demonstrate the role implicit bias plays in explaining large disparities between Americans' willingness to adopt Black and White children.

Community-level age bias and older adult mortality.

RATIONALE: As the older adult population increases, understanding the health effects of bias against older adults is increasingly important. Whether structural forms of age bias predict worse health has received limited attention. OBJECTIVE: We hypothesized that communities with greater age bias would have higher mortality among residents aged 65 and older. We expected the association to be unique to age bias, rather than general bias (i.e., sexual minority and racial bias), and that the age bias-mortality association would be strongest in predominantly White and younger communities. METHODS: Explicit and implicit attitudes toward older adults (N = 1,001,735), sexual minorities (N = 791,966), and Black Americans (N = 2,255,808) were drawn from Project Implicit. Post-stratification relative to U.S. Census demographics was executed to improve the representativeness of county-level explicit and implicit bias estimates. County older adult mortality, estimated cross-sectionally with and longitudinally relative to bias scores, served as outcomes. Models controlled for relevant county-level covariates (e.g., median age) and included all U.S. counties (N = 3142). RESULTS: Contrary to hypotheses but consistent with prior work, explicit age bias was cross-sectionally and longitudinally associated with lower mortality, over and above covariates and generalized community bias. The explicit age bias-lower mortality association only emerged in younger counties but did not depend on county ethnic composition. Implicit age bias was unassociated with outcomes. Post-hoc analyses supported that ageist communities may be associated with better health across the lifespan. Explicit age bias predicted lower mortality in young and middle adulthood; better mental health in middle adulthood, but not exercise or self-rated health, mediated the explicit age bias-older adult mortality association. CONCLUSIONS: Results highlight the uniqueness of older age relative to other stigmatized identities. Further examination of the association of community-level age bias with better health may improve longevity for all communities.

Implicit and explicit racial prejudice and stereotyping toward Black (vs. White) Americans: The prevalence and variation among genetic counselors in North America.

Research has shown that patient experiences and outcomes of genetic counseling are not equitable across racial categories, disadvantaging Black patients relative to White patients. One major factor contributing to such racial disparities might be genetic counselor racial bias. The present study examined the prevalence of and variation in racial bias toward Black (vs. White) Americans among genetic counselors in North America. This study extends the current literature of racial disparities in experiences and outcomes of genetic counseling by distinguishing prejudice (negative feelings or attitudes) and stereotyping (beliefs) at the implicit and explicit levels as well as by including both certified genetic counselors and genetic counseling trainees. Two-hundred and fifteen genetic counselors (107 genetic counselors Board-certified by the American Board of Genetic Counseling, 108 genetic counseling trainees from Accreditation Council for Genetic Counseling accredited programs) completed four measures in a random order: the Race Implicit Association Test (IAT, for implicit prejudice), feeling thermometer (for explicit prejudice), the Medical Cooperativeness IAT (for implicit stereotyping), and a self-report measure of explicit stereotypes (for explicit stereotyping). On average, genetic counselors (both certified genetic counselors and genetic counseling trainees) were slightly to moderately in favor of White Americans over Black Americans at the implicit level. They were also slightly more likely to associate "medically cooperative" stereotypes with White Americans more than Black Americans implicitly. In contrast, genetic counselors, on average, did not display either explicit prejudice or explicit negative stereotyping, which may reflect social desirability concerns among genetic counselors. However, genetic counselors as a group strongly endorsed stereotypes related to mistrust (mistrustful of the healthcare system, skeptical of genetic testing, mistrustful of genetic counselors) to be more true for Black (vs. White) Americans. Finally, our study revealed relatively large variability in each type of bias across genetic counselors. Future research should examine how such variability in each type of bias is associated with patient experiences and outcomes of genetic counseling.

Sexual Orientation and Racial Bias in Relation to Medical Specialty.

Physician explicit and implicit biases involving race and sexual orientation (SO) affect patient and provider experiences in healthcare settings. An anonymous survey was disseminated nationally to graduating medical students, residents, and practicing physicians to evaluate SO and racial biases across medical specialties. SO explicit and implicit bias were measured with the Attitudes toward Lesbians and Gay Men Scale, short form (ATLG-S) and Gay-Straight Implicit Association Test (IAT). Racial explicit and implicit bias were measured with the Quick Discrimination Index (QDI) and the Black-White IAT. Medical specialty was associated with racial explicit bias and specialty prestige with Black-White IAT score. Medical specialty and specialty prestige were not associated with SO bias. Female sex, sexual and gender minority (SGM) identity, and decreased religiosity were associated with reduced SO and racial bias. Provider race was associated with racial implicit and explicit bias.

Do clinicians have an implicit bias in favor of specific disease over nonspecific illness?

BACKGROUND: Some patients and clinicians have an explicit preference to associate symptoms with specific pathology. This bias can manifest in relatively specific names for illnesses with nonspecific symptoms and signs such as radial tunnel syndrome, repetitive strain injury, and fibromyalgia. This might be a manifestation of a desire for a sense of control and measurable as an unconscious bias for specific over non-specific illnesses. QUESTIONS: There are no factors independently associated with orthopedic surgeon unconscious bias against non-specific illness; Is there a relationship between clinician unconscious bias and clinician explicit preference regarding non-specific illness? PATIENTS AND METHODS: An implicit association test was used to evaluate clinician implicit bias regarding specific and nonspecific illnesses. Demographic information and explicit preference were collected from consented clinicians. RESULTS: Musculoskeletal clinicians have moderate explicit (conscious) and implicit (unconscious) bias in favor of specific illnesses over nonspecific illnesses. CONCLUSIONS: Musculoskeletal clinicians explicitly and implicitly favor specific over nonspecific illnesses. CLINICAL RELEVANCE: Given the notable prevalence of symptoms that are never associated with discrete pathology, care strategies designed to neutralize bias against non-specific illness have the potential to reduce low value tests and treatments; 2) avoid diagnoses that imply specific pathology when the illness is characterized by the absence of verifiable objective pathology; and 3) prioritize interventions known to enhance health among people with no identifiable pathology.

Racial Prejudice Predicts Police Militarization.

In the United States, police are becoming increasingly militarized. Whereas the racialized nature of police militarization has been documented, the relationship between racial prejudice and police militarization is less understood. We assessed the link between racial prejudice against Black and Native Americans and police militarization at individual and regional levels. Study 1 (N = 765) recruited a nationally representative sample of White Americans and found a positive association between racial prejudice and support for police militarization. Study 2 (N = 3,129,343) sourced regional aggregates of prejudice among White Americans from Project Implicit and policing data from the Defense Logistics Agency and found that police departments in states higher in prejudice acquired greater amounts of militarized equipment. Together, these studies demonstrate that, in terms of attitudes and policies, racial prejudice predicts police militarization.

Individuating multiple (not one) persons reduces implicit racial bias.

Individuation training that helps humans see multiple other-race targets as distinct rather than as interchangeable can reduce children's implicit racial bias in the form of more negative other-race associations than own-race associations. However, little is known about which aspects of these interventions are critical for their effectiveness. The present research examines whether children need to learn to differentiate among multiple other-race individuals for these interventions to reduce their level of implicit racial bias, or whether differentiating a single other-race individual is sufficient. We addressed this question among 4-to-6-year-old Chinese children (N = 66, 31 girls) who engaged in coordinated movement with Black instructors for 2 min. There were two between-subject conditions: in a differentiation condition, there were four different Black instructors, and children had to learn to tell them apart, and in a no-differentiation condition, there was only one Black instructor. Implicit bias was measured using the IRBT, an implicit association test that was developed based on the IAT but is appropriate for young children. We found a reduction in implicit bias against Black people after this interaction in the differentiation condition, but not in the no-differentiation condition. These findings suggest that learning to differentiate among multiple other-race individuals plays a critical role in reducing children's implicit racial bias.

Explicit and implicit disability attitudes of occupational and physical therapy assistants.

BACKGROUND: Reduction of explicit and implicit bias in healthcare providers is a critical issue faced by our society in moving toward more equitable and culturally appropriate health and rehabilitation care. Because resources for OT and PT services are limited and shortages in these professions exist, direct care provision by occupational and physical therapist assistants (OTA/PTA) is on the rise and valued in comprehensive rehabilitation practice. It is important to consider attitudes and biases of OTA/PTA, as they are directly involved in provision of rehabilitation services for people with disabilities. OBJECTIVE: This study examined the explicit and implicit disability attitudes of a large cross-section of OTA/PTA. METHODS: Secondary data analysis was completed using data from 6113 OTA/PTA from the Project Implicit Disability Attitudes Implicit Association Test. Implicit attitudes were calculated and OTA/PTA explicit and implicit disability attitudes were compared. Results were further categorized using an adapted version of Son Hing et al.'s two-dimensional model of prejudice. RESULTS: Findings revealed the majority of OTA/PTA reported having no explicit preference for people with disabilities or nondisabled people. However, the majority of OTA/PTA were aversive ableists, indicating low explicit and high implicit bias. CONCLUSIONS: Though explicit bias is lower in OTA/PTA, implicit bias is strong, indicating that people with disabilities face bias that may influence clinical interactions, and may be reproduced in professional education, practice, and policy. Concrete action must be taken to recognize and address disability bias to reduce health disparities in people with disabilities.

Weight Bias and Stigma: Impact on Health.

Weight bias and stigma exist in a variety of realms in our society (media, education, employment, and health care), and unfortunately many view it as a socially acceptable form of discrimination. Patients with obesity often avoid scheduling appointments for health promotion visits and routine care due to perceived weight bias and stigma from their health care provider. Within the health care setting, it is important that health care providers strategically focus on reducing obesity bias and provide high-quality obesity management. People-first language should be used and waiting rooms and examination rooms should be accommodating to people of all sizes.

Associations of regional racial attitudes with chronic illness in the United States.

RATIONALE: A growing body of literature has identified a robust relationship between the experience of racial discrimination and negative self-reported physical and mental health outcomes. OBJECTIVE: The current study seeks to identify which factors -at the community level- predict racial disparities in actual disease manifestation. This study focuses on the extent to which regional demographics and racial attitudes, both implicit and explicit, are associated with prevalence rates of several diseases for Black and White patients in the United States. METHODS: Implicit and explicit racial attitudes obtained from Project Implicit (Xu et al., 2017) were aggregated at the county level to predict variation in the prevalence rates of several chronic illnesses among Medicare recipients. RESULTS: When controlling for economic indicators, Black and White patients who live in areas with high implicit and explicit racial bias tend to exhibit a higher incidence of chronic health problems, including cancer, stroke, asthma, diabetes, and heart failure. These relationships tended to be stronger for Black patients. Additionally, patients in racially diverse and racially segregated regions also tended to exhibit a higher incidence of chronic health problems. CONCLUSION: Findings from the study highlight the reliable relationship between both racial biases and regional demographics and the incidence rates of several chronic diseases, particularly in Black patients.

Interphysician weight bias: A cross-sectional observational survey study to guide implicit bias training in the medical workplace.

OBJECTIVES: Implicit bias contributes to both health care disparities and professional limitations, and it exists among physicians. Prior literature has described physician weight bias (WB) toward patients, but little research has investigated interphysician WB. This study describes the prevalence of interphysician implicit WB and investigates the relationships between implicit, explicit, and professional biases. The authors hypothesized that the majority of physicians possess interphysician implicit WB and that the degree of implicit bias has a direct relationship with explicit and professional WB. METHODS: In this cross-sectional study, a survey was used to measure interphysician implicit, explicit, and professional WB. It included adaptations of two previously validated measures (the Implicit Association Test and the Crandall Anti-fat Attitudes Questionnaire) and an investigator developed and tested Professional Weight Bias Scale. The survey was distributed electronically via medical society message boards, email lists, and social media groups. RESULTS: A total of 620 physicians and medical students participated. Fifty-eight percent were female, ages ranged from 22 to 83 years (mean = 44 years), and body mass index (BMI) ranged from 16 to 59 (mean = 26). Descriptive analyses revealed that 87% had some degree of implicit interphysician antifat bias, with 31% and 34% categorized as moderate and severe, respectively. Correlation and multiple regression analyses revealed that male sex, increased age, and decreased BMI were related to increased implicit bias, controlling for all other factors. Furthermore, implicit, explicit, and professional bias all had significant, direct relationships with each other. CONCLUSIONS: Our findings highlight the prevalence of interphysician implicit WB; the strong correlations between implicit, explicit, and professional WB; and the potential disparities faced by physicians with obesity. These results may be used to guide implicit bias training for a more inclusive medical workplace.