Phelan, Sean M.

Summary Objective Patient–provider communication has been found to be less patient centred, on average, with patients who are members of stigmatized or minority groups. Obesity is a stigmatized condition, and thus, people with obesity may experience less patient‐centred communication (PCC). The objective of this study was to assess the association between patient body mass index (BMI) and self‐reported quality of PCC experienced over a 12‐month period and whether that relationship differed for men and women. Methods Data collected for the National Cancer Institute's Health Information National Trends Survey were analysed. Respondents who reported a BMI ≥ 18.5 kg/m 2 and indicated having seen a healthcare provider outside of an emergency room in the last 12 months were included. PCC was measured using a validated six‐item scale. Multivariate logistic regression was used to model the odds of reporting PCC greater than the sample median. Results Compared with people with normal weight BMIs, no associations were found between overweight (odds ratio [OR] = 0.84, p = 0.17), class I & II obesity (OR = 0.94, p = 0.68) or class III obesity (OR = 0.86, p = 0.47) and PCC. There was a significant interaction ( p = 0.015) such that for men, but not women, higher BMI was associated with less PCC. Conclusion Unlike evidence that women experience more weight stigma, in the healthcare domain, men may be at elevated risk of experiencing communication influenced by weight stigma.

Abstract Healthcare disparities represent differences in the quality of healthcare received by different racial/ethnic or social groups that are the result of inequitable economic, political, social, and psychological processes. This chapter examines enacted stigma (negative feelings, thoughts, and actions) among health care providers and felt stigma among their patients (awareness of the biases and discrimination directed toward them because of their stigmatized condition), each of which can produce disparities in healthcare for stigmatized patients. These processes are considered for individuals from four stigmatized groups: racial minority group members, people who have above average weight or are considered obese, individuals living with HIV, and people with certain cancers. Stronger enacted stigma and felt stigma make communication in interactions with healthcare providers less productive, informative, and positive for members of all four groups. Ultimately, poorer quality communication can contribute to poorer outcomes from these interactions, and thus disparities in health status.

Despite the widespread inclusion of diversity-related curricula in U.S. medical training, racial disparities in the quality of care and physician bias in medical treatment persist. The present study examined the effects of both formal and informal experiences on non-African American medical students’ ( N = 2,922) attitudes toward African Americans in a longitudinal study of 49 randomly selected U.S. medical schools. We assessed the effects of experiences related to medical training, accounting for prior experiences and attitudes. Contact with African Americans predicted positive attitudes toward African Americans relative to white people, even beyond the effects of prior attitudes. Furthermore, students who reported having witnessed instructors make negative racial comments or jokes were significantly more willing to express racial bias themselves, even after accounting for the effects of contact. Examining the effects of informal experiences on racial attitudes may help develop a more effective medical training environment and reduce racial disparities in healthcare.

Context Health care trainees demonstrate implicit (automatic, unconscious) and explicit (conscious) bias against people from stigmatised and marginalised social groups, which can negatively influence communication and decision making. Medical schools are well positioned to intervene and reduce bias in new physicians. Objectives This study was designed to assess medical school factors that influence change in implicit and explicit bias against individuals from one stigmatised group: people with obesity. Methods This was a prospective cohort study of medical students enrolled at 49 US medical schools randomly selected from all US medical schools within the strata of public and private schools and region. Participants were 1795 medical students surveyed at the beginning of their first year and end of their fourth year. Web‐based surveys included measures of weight bias, and medical school experiences and climate. Bias change was compared with changes in bias in the general public over the same period. Linear mixed models were used to assess the impact of curriculum, contact with people with obesity, and faculty role modelling on weight bias change. Results Increased implicit and explicit biases were associated with less positive contact with patients with obesity and more exposure to faculty role modelling of discriminatory behaviour or negative comments about patients with obesity. Increased implicit bias was associated with training in how to deal with difficult patients. On average, implicit weight bias decreased and explicit bias increased during medical school, over a period of time in which implicit weight bias in the general public increased and explicit bias remained stable. Conclusions Medical schools may reduce students’ weight biases by increasing positive contact between students and patients with obesity, eliminating unprofessional role modelling by faculty members and residents, and altering curricula focused on treating difficult patients.

BACKGROUNDThe current study was performed to determine whether patient characteristics, including race/ethnicity, were associated with patient‐reported care coordination for patients with colorectal cancer (CRC) who were treated in the Veterans Affairs (VA) health care system, with the goal of better understanding potential goals of quality improvement efforts aimed at improving coordination.METHODSThe nationwide Cancer Care Assessment and Responsive Evaluation Studies survey involved VA patients with CRC who were diagnosed in 2008 (response rate, 67%). The survey included a 4‐item scale of patient‐reported frequency (“never,” “sometimes,” “usually,” and “always”) of care coordination activities (scale score range, 1‐4). Among 913 patients with CRC who provided information regarding care coordination, demographics, and symptoms, multivariable logistic regression was used to examine odds of patients reporting optimal care coordination.RESULTSVA patients with CRC were found to report high levels of care coordination (mean scale score, 3.50 [standard deviation, 0.61]). Approximately 85% of patients reported a high level of coordination, including the 43% reporting optimal/highest‐level coordination. There was no difference observed in the odds of reporting optimal coordination by race/ethnicity. Patients with early‐stage disease (odds ratio [OR], 0.60; 95% confidence interval [95% CI], 0.45‐0.81), greater pain (OR, 0.97 for a 1‐point increase in pain scale; 95% CI, 0.96‐0.99), and greater levels of depression (OR, 0.97 for a 1‐point increase in depression scale; 95% CI, 0.96‐0.99) were less likely to report optimal coordination.CONCLUSIONSPatients with CRC in the VA reported high levels of care coordination. Unlike what has been reported in settings outside the VA, there appears to be no racial/ethnic disparity in reported coordination. However, challenges remain in ensuring coordination of care for patients with less advanced disease and a high symptom burden. Cancer 2015;121:2207–2213. © 2015 American Cancer Society.

Summary The objective of this study was to critically review the empirical evidence from all relevant disciplines regarding obesity stigma in order to (i) determine the implications of obesity stigma for healthcare providers and their patients with obesity and (ii) identify strategies to improve care for patients with obesity. We conducted a search of M edline and PsychInfo for all peer‐reviewed papers presenting original empirical data relevant to stigma, bias, discrimination, prejudice and medical care. We then performed a narrative review of the existing empirical evidence regarding the impact of obesity stigma and weight bias for healthcare quality and outcomes. Many healthcare providers hold strong negative attitudes and stereotypes about people with obesity. There is considerable evidence that such attitudes influence person‐perceptions, judgment, interpersonal behaviour and decision‐making. These attitudes may impact the care they provide. Experiences of or expectations for poor treatment may cause stress and avoidance of care, mistrust of doctors and poor adherence among patients with obesity. Stigma can reduce the quality of care for patients with obesity despite the best intentions of healthcare providers to provide high‐quality care. There are several potential intervention strategies that may reduce the impact of obesity stigma on quality of care.

Purpose High-quality supportive care is an essential component of comprehensive cancer care. We implemented a patient-centered quality of cancer care survey to examine and identify predictors of quality of supportive care for bowel problems, pain, fatigue, depression, and other symptoms among 1,109 patients with colorectal cancer. Patients and Methods Patients with new diagnosis of colorectal cancer at any Veterans Health Administration medical center nationwide in 2008 were ascertained through the Veterans Affairs Central Cancer Registry and sent questionnaires assessing a variety of aspects of patient-centered cancer care. We received questionnaires from 63% of eligible patients (N = 1,109). Descriptive analyses characterizing patient experiences with supportive care and binary logistic regression models were used to examine predictors of receipt of help wanted for each of the five symptom categories. Results There were significant gaps in patient-centered quality of supportive care, beginning with symptom assessment. In multivariable modeling, the impact of clinical factors and patient race on odds of receiving wanted help varied by symptom. Coordination of care quality predicted receipt of wanted help for all symptoms, independent of patient demographic or clinical characteristics. Conclusion This study revealed substantial gaps in patient-centered quality of care, difficult to characterize through quality measurement relying on medical record review alone. It established the feasibility of collecting patient-reported quality measures. Improving quality measurement of supportive care and implementing patient-reported outcomes in quality-measurement systems are high priorities for improving the processes and outcomes of care for patients with cancer.

ObjectiveTo 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.MethodsA 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.ResultsA 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.ConclusionsImplicit 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.