The role of weight bias and role-modeling in medical students' patient-centered communication with higher weight standardized patients

Weight Bias in the Perinatal Period: An Integrative Review

BACKGROUND

Weight bias toward individuals with higher body weights in healthcare settings is associated with adverse health behaviors, reduced healthcare utilization, and poor health outcomes. The purpose of this integrative review was to explore: (1) What has been measured and described regarding perinatal care providers' and students' weight bias toward pregnant, birthing, and postpartum individuals with higher body weights? (2) What has been measured and described regarding pregnant, birthing, and postpartum individuals' experiences of weight bias? (3) What is the association of experiences of weight bias with perinatal and mental health outcomes among pregnant, birthing, and postpartum individuals?

METHODS

We conducted a systematic search in CINAHL, PubMed, and PsycINFO databases to identify relevant research publications related to the Medical Subject Headings (MeSH) terms weight prejudice (and related terms) and pregnancy (and related terms). The review was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), Johns Hopkins Nursing Evidence-Based Practice model for study quality determination, and the Whittemore and Knafl integrative review framework for data extraction and analyses.

RESULTS

Twenty-two publications met inclusion criteria, representing six countries and varying study designs. This review found pervasive sources of explicit weight bias in the perinatal period, including care providers and close relationships. Experiences of weight bias among pregnant and postpartum individuals are associated with adverse perinatal and mental health outcomes.

DISCUSSION

The findings address a knowledge gap regarding a summary of literature on weight bias in the perinatal period and elucidate its prevalence as well as its negative influence on perinatal and mental health outcomes. Future research efforts on this topic must examine the nature and extent of perinatal care providers' weight bias by demographic factors and explore its association with clinical decision-making and perinatal and mental health outcomes.

Weight Bias Interventions for Healthcare Professionals: An Integrative Review

AIM

To describe interventions to mitigate weight bias among practicing healthcare providers and examine their effectiveness.

DESIGN

An integrative review.

METHODS

The framework of Whittemore and Knafl (2005) was utilised to identify and synthesise studies of weight bias interventions. Covidence reference management software facilitated screening using predetermined eligibility criteria that is, published in peer-reviewed journals, reported in English, and described outcomes for weight bias mitigation interventions among healthcare providers with a professional practice licence. We evaluated study quality using Joanna Briggs Institute's Critical Appraisal Tools for qualitative and quantitative studies.

DATA SOURCES

Five databases were searched (CINAHL, Embase, EBSCOhost, APA PsycINFO, and Scopus) in July 2024.

RESULTS

Sixteen articles met the inclusion criteria. Four themes emerged: (1) active learning lessens weight bias more than passive learning, (2) multicomponent approaches yield better outcomes, (3) healthcare providers are willing to change their practices, and (4) explicit attitudes and beliefs are more amenable to change than implicit ones. Four sub-themes within theme one included the use of in-person workgroups; films, computer-based, and podcast delivery; written modules; and physical characteristic modifications, such as the use of an adiposity empathy suit. Intervention designs using a theory-based, active learning approach with repeated sessions were most successful at decreasing negative weight-biased attitudes and beliefs.

CONCLUSIONS

Interventions that effectively reduce weight bias among practicing healthcare providers vary, yet evidence suggests that weight bias mitigation is achievable. These interventions offer strategies to improve patient-centred care among patients living with obesity.

IMPACT

Healthcare providers often display weight bias. This review synthesises information on effective interventions for reducing bias, which may limit the subsequent negative patient outcomes associated with it.

REPORTING METHOD

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses was the structure used for this paper.

PATIENT OR PUBLIC CONTRIBUTION

There were no patient or public contributions.

Weight stigma toward pregnant patients: An experimental study of medical students

OBJECTIVE

To investigate the presence of implicit and explicit weight bias among a sample of medical students.

METHODS

Using a between-subjects experimental design, medical students (N = 100; AgeM = 25.83 ± 2.76), were randomly assigned to read a vignette about a pregnant patient with a lower body mass index (BMI; 23 kg/m2) or a higher BMI (33 kg/m2). Participants then completed questionnaires related to perceptions and liking of the patient, and explicit attitudes about people who have larger bodies (i.e., BMIs ≥ 30 kg/m2).

RESULTS

There were no significant differences between vignettes, suggesting that implicit bias against pregnant patients with higher versus lower BMIs was not identified. However, weight stigmatizing attitudes were associated with medical student BMI, such that medical students with higher BMIs expressed more positive attitudes for patients with BMIs ≥ 30 kg/m2 than medical students with lower BMIs.

CONCLUSIONS

These findings indicate that implicit weight bias towards pregnant patients in medical students is low, particularly among medical students with higher weight, which may represent a shift in societal attitudes towards patients with larger bodies.

Efficacy of interventions aimed at reducing explicit and implicit weight bias in healthcare students: A systematic review and meta-analysis

We conducted a systematic review and meta-analysis to determine the efficacy of interventions aimed at reducing weight bias in healthcare students, and to explore factors that may impact intervention success. A systematic review and random-effects meta-analyses were conducted by including studies that examined the efficacy of weight bias reduction interventions for healthcare students. Of the 3463 journal articles and dissertations screened, 67 studies (within 64 records) met inclusion criteria, with 35 studies included in the meta-analyses (explicit = 35, implicit [and explicit] = 10) and 32 studies included in the narrative synthesis (explicit = 34, implicit [and explicit] = 3). Weight bias interventions had a small but positive impact, g = -0.31 (95% CI = -0.43 to -0.19, p < 0.001), in reducing students' explicit weight bias but there was no intervention effect on implicit weight bias, g = -0.12 (95% CI = -0.26 to 0.02, p = 0.105). There was considerable heterogeneity in the pooled effect for explicit bias (I2 = 74.28, Q = 132.21, df = 34, p < 0.001). All subgroup comparisons were not significant (p > 0.05) and were unable to explain the observed heterogeneity. Narrative synthesis supported meta-analytic findings. The small but significant reduction of explicit weight bias encourages the continued testing of interventions, irrespective of variation in individual intervention components. Contrarily, reductions in implicit weight bias may only be possible from a large societal shift in negative beliefs and attitudes held towards people living in larger bodies.

Implicit bias assessment by career stage in medical education training: a narrative review

Implicit biases involve associations outside conscious awareness that lead to a negative evaluation of a person based on individual characteristics. Early evaluation of implicit bias in medical training can prevent long-term adverse health outcomes related to racial bias. However, to our knowledge, no present studies examine the sequential assessment of implicit bias through the different stages of medical training. The objective of this narrative review is to examine the breadth of existing publications that assess implicit bias at the current levels of medical training, pre-medical, graduate, and postgraduate. Protocol for this study was drafted using the Scale for the Assessment of Narrative Reviews (SANRA). Keyword literature search on peer-reviewed databases Google Scholar, PubMed, Ebsco, ScienceDirect, and MedEd Portal from January 1, 2017, to March 1, 2022, was used to identify applicable research articles. The online database search identified 1,512 articles. Full screening resulted in 75 papers meeting the inclusion criteria. Over 50% of extracted papers (74%) were published between 2019 and 2021 and investigated implicit bias at the post-graduate level (43%), followed by the graduate level (34%), and pre-medical level (9.4%). Fourteen percent were classified as mixed. Studies at the medical and medical graduate level identified an implicit preference towards white, male, non-LGBTQIA+, thin, patients. Study findings highlight notable gaps within the sequential assessment of implicit bias, specifically at the pre-medical training level. Longitudinal epidemiological research is needed to examine the long-term effect of implicit biases on existing healthcare disparities.

Nursing students and role modeled behavior while caring for LGBTQ + people: a cross-sectional, descriptive study

BACKGROUND

While efforts to improve the educational preparedness of nurses to care for lesbian, gay, bisexual, transgender, and queer (LGBTQ +) people have increased, the influence of role-modeled behaviors by healthcare professionals working with nursing students and recent graduates is not well understood. The purpose of this study is to describe the role-modeled behaviors of healthcare professionals observed by nursing students and recent graduates caring for LGBTQ + patients in clinical settings.

METHODS

A cross-sectional, online survey was conducted. Recruitment of nursing students who had completed one or more clinical rotations or were recent graduates (≤ 2 years) was performed through university emails and social media. Items included measurement of stigmatizing attitudes, observed stigmatizing behaviors, and ability to provide inclusive/affirming care for LGBTQ + patients. Open-text items prompted participants to describe observed behaviors. Data were analyzed using descriptive statistics and Wilcoxon signed rank sum tests to evaluate differences between LGB (lesbian, gay, bisexual) and T + (transgender and gender diverse) subscales. Open-text responses were analyzed using thematic analysis to identify relevant themes.

RESULTS

Participants (N = 73) had a low level of stigmatizing attitudes toward LGBTQ + people (M = 1.8, SD = 0.4), although higher stigmatizing attitudes toward T + people were reported (M = 3.0, SD = 0.2; Z = -7.254, p < .001). Half of the participants reported that they observed LGBTQ + stigmatizing behaviors role-modeled by two + healthcare professional roles; approximately one-third of participants personally engaged in one + LGBTQ + stigmatizing behaviors, most commonly toward T + people. Themes from participants' examples of observed stigmatizing behaviors included: cis-heteronormative bias, non-affirmation of chosen name/pronouns, outing patients, and rejected competency.

CONCLUSIONS

The majority of participants described observing stigmatizing behaviors toward LGBTQ + people in clinical settings. Poorer attitudes and a higher frequency of stigmatizing behaviors observed towards T + people point to deficits in healthcare provided to T + people in particular. Efforts to address LGBTQ + stigma in healthcare should be expanded to include clinical settings to address role-modeled behaviors and socialization of nurses.

Physicians' stigmatizing attitudes about individuals with type 2 diabetes: Associations with communication practices and perceived barriers to care

AIMS

The stigma of type 2 diabetes (T2D) has received growing attention in the healthcare setting. However, there has been almost no research examining how healthcare professional biases about diabetes relate to patient care. This cross-sectional study examined how physicians' self-reported biases, stereotypes, and attributions about diabetes and obesity were related to their patient care practices.

METHODS

Physicians treating T2D, specializing in internal medicine or endocrinology (n=205), completed a battery of online questionnaires.

RESULTS

Physicians who attributed poor patient compliance as the primary barrier to provision of diabetes care had worse perceptions of individuals with T2D and were less likely to use person-centered approaches with their patients. Physicians' stigmatizing attitudes about T2D were associated with less use of person-first language, while more positive perceptions of individuals with T2D were associated with greater use of motivational interviewing. Weight-related stigma was associated with less use of person-centered approaches to care and less confidence in their ability to provide care.

CONCLUSIONS

Findings reiterate the associations between weight stigma and poorer physician communication and suggest that similar patterns occur in the provision of care for individuals with T2D. Physicians who treat T2D may benefit from stigma reduction interventions for both diabetes and weight-related stigmas.

Does dissection influence weight bias among doctor of physical therapy students?

Anatomy with human dissection may help to develop respect for the human body and professionalism; however, dissection may worsen students' attitudes about body weight and adiposity. The purpose of this study was to measure weight bias among Doctor of Physical Therapy (DPT) students enrolled in gross anatomy and determine if, and how the experience of dissection impacts weight bias. Ninety-seven DPT students (70 University of Colorado [CU], 27 Moravian University [MU]) were invited to complete a survey during the first and final weeks of their anatomy course. The survey included demographic items, two measures of weight bias-the Modified Weight Bias Internalized Scale (M-WBIS) and the Attitudes Towards Obese Persons (ATOP) Scale-and open-ended questions for the students who participated in dissection (CU students) that explored attitudes about body weight and adiposity. At baseline, there were no significant differences (p > 0.202) in ATOP, M-WBIS, or BMI between the two universities. The mean scores on both the ATOP and M-WBIS indicated a moderate degree of both internalized and externalized weight bias. There were no significant changes in ATOP (p = 0.566) or M-WBIS scores (p = 0.428). BMI had a low correlation with initial M-WBIS scores (⍴ = 0.294, p = 0.038) and a high correlation with change scores in CU students (⍴ = 0.530, p = 0.011). Future studies should utilize the same measures of weight bias in other healthcare trainees to facilitate comparison and incorporate larger populations of DPT students.

Hindi Translation, Cultural Adaptation, and Validation of Modified Weight Bias Internalization Scale (WBIS-M): A Cross-Sectional Study from the Metabolic Surgery Clinic in North India

Background

The lack of culturally-sensitive tool masks the epidemiology of weight-bias and internalized-stigma. This study aimed to translate, adapt, and validate the Modified Weight-Bias Internalization Scale (WBIS-M) into Hindi.

Methods

The translation and adaptation process followed the World Health Organization guidelines. Three psychiatrists translated the original WBIS-M into Hindi. The bilingual panel comprised four psychiatrists, two laparoscopic bariatric surgeons, a professor of English, and an individual with severe obesity (with an International English Language Testing System (IELTS) score of Band 8.5) who was familiar with Western culture. The panel identified and resolved inadequate expressions of translations or discrepancies. An independent translator, whose mother tongue was English, back-translated it into the English language. Focused group discussions with individuals with severe obesity were conducted. The final H-WBIS-M was administered to undergraduates (n = 120) after seven days. Test-retest reliability was assessed. The original WBIS-M, Eating Disorder Diagnostic Screen, and Fat Phobia Scale-Short Form were administered to 120 undergraduates and 55 individuals with severe obesity (n = 175)]. Reliability and validity of H-WBIS-M were analyzed.

Results

Kaiser-Meyer-Olkin measure of sampling adequacy was 0.788, and Bartlett's test of sphericity was χ2 = 1381.892, p = 0.000. The exploratory factor analysis extracted three components. Spearman-Brown coefficient for H-WBIS-M was 0.875. The internal consistency was α = 0.875 (p = 0.000), intraclass correlation coefficient was 0.857 (95% confidence interval [CI] = 0.812-0.893) (p = 0.000), and Pearson correlation ranged from 0.869 to 0.989 (p = 0.000). Cross-language concordance revealed a significant intraclass correlation coefficient (0.877-0.986) (p = 0.000) and Pearson correlation ranging from 0.781 to 0.972 (p = 0.000).

Conclusions

The H-WBIS-M demonstrated good psychometric properties based on standard testing procedures.

Examining Inclusive Language in Clinical Narratives in Medical Biochemistry Textbooks to Model Equitable Patient-Centered Care in Preclinical Undergraduate Medical Education

Purpose

When healthcare professionals use biased or stigmatizing language to describe people or conditions, it can impact the quality of care or erode the patient-physician relationship. It is not clear where healthcare professionals acquire biased and stigmatizing language in practice. This study focuses on examining language in educational materials used in training of medical students. Specifically, medical biochemistry textbooks were examined as they are often a first exposure to clinical narratives and communication standards. The aim of this project is to investigate whether medical biochemistry textbooks, widely recommended in preclinical UME, model inclusive language communication in clinical narratives.

Methods

To determine if educational materials follow inclusive writing guidelines, we conducted a modified document analysis on a sample of medical biochemistry textbooks when clinical scenarios were described. Three independent researchers separately reviewed the textbooks, coded the language using NVivo, and generated themes.

Results

Our results show that medical biochemistry textbooks contain language which is not in alignment with the best practices for inclusive language. Our analysis mapped codes to two primary themes of language misalignment. The first theme, "clinical language" (n = 92), included the following codes: difficult patient, general negative descriptive language, patient as failure, and questioning patient credibility. The second primary theme, "identity-first labeling" (n = 251), included 21 codes.

Conclusion

This study provides early evidence that the language used in medical biochemistry textbooks to describe people and conditions is not in alignment with inclusive language recommendations. This can reinforce the way future healthcare professionals speak to and about their patients.

Weight Bias Among Certified Nurse-Midwives and Certified Midwives: Findings From a National Sample

INTRODUCTION

Weight bias toward individuals with higher body weights permeates health care settings in the United States and has been associated with poor weight-related communication and quality of care as well as adverse health outcomes. However, there has been limited quantitative investigation into weight bias among perinatal care providers. Certified nurse-midwives (CNMs)/certified midwives (CMs) attend approximately 11% of all births in the United States. The aims of this study were to measure the direction and extent of weight bias among CNMs/CMs and compare their levels of weight bias to the US public and other health professionals.

METHODS

Through direct postcard distribution, social media accounts, professional networks, and email listservs, American Midwifery Certification Board (AMCB)-certified midwives were solicited to complete an online survey of their implicit weight bias using the Implicit Association Test and their explicit weight bias using the Antifat Attitudes Questionnaire, Fat Phobia Scale, and Preference for Thin People measure.

RESULTS

A total of 2257 midwives participated in the survey, yielding a completion rate of 17.7%. Participants were mostly White and female, with a median age of 46 years and 11 years since AMCB certification. More than 70% of midwives have some level of implicit weight bias, although to a lesser extent compared with previously published findings among the US public (P < .01) and other health professionals (P < .01). In a subsample comparison of female midwives to female physicians, implicit weight bias levels were similar (P > .05). Midwives also express explicit weight bias, but at lower levels than the US public and other health professionals (P < .05).

DISCUSSION

This study provides the first quantitative research documenting weight bias among a national US sample of perinatal care providers. Findings can inform educational efforts to mitigate weight bias in the perinatal care setting and decrease harm.

Implicit and Explicit Weight Bias among Midwives: Variations Across Demographic Characteristics

INTRODUCTION

Weight bias toward individuals with higher body weights is present in health care settings. However, there has been limited quantitative exploration into weight bias among perinatal care providers and its potential variations based on demographic characteristics. The aim of this study was to examine if the direction and extent of weight bias among midwives certified by the American Midwifery Certification Board (AMCB) varied across age, years since certification, body mass index (BMI), race, ethnicity, and US geographic region.

METHODS

Through direct email listservs, postcard distribution, social media accounts, and professional networks, midwives were invited to complete an online survey of their implicit weight bias (using the Implicit Association Test) and their explicit weight bias using the Anti-Fat Attitudes Questionnaire (AFA), Fat Phobia Scale (FPS), and Preference for Thin People (PTP) measure.

RESULTS

A total of 2106 midwives who identified as Black or White and resided in one of 4 US geographic regions participated in the survey. Midwives with a lower BMI expressed higher levels of implicit (P <.01) and explicit (P ≤.01) weight bias across all 4 measures except for the AFA Fear of Fat Subscale. Implicit weight bias levels also varied by age (P <.001) and years since certification (P <.001), with lower levels among younger midwives (vs older) and those with fewer years (vs more) since certification. Only age and BMI remained significant (P <.001) after adjusting for other demographic characteristics. Lower explicit weight bias levels were found among midwives who identified as Black (vs White) on 2 measures (FPS: adjusted β = -0.07, P = .004; PTP: P = .01).

DISCUSSION

This was the first quantitative study of how weight bias varies across demographic characteristics among a national sample of midwives. Further exploration is needed in more diverse samples. In addition, research to determine whether weight bias influences clinical decision-making and quality of care is warranted.

Obesity bias: How can this underestimated problem affect medical decisions in healthcare? A systematic review

INTRODUCTION

Obesity is often labeled as a physical characteristic of a patient rather than a disease and it is subject to obesity bias by health providers, which harms the equality of healthcare in this population.

OBJECTIVE

Identifying whether obesity bias interferes in clinical decision-making in the treatment of patients with obesity.

METHODS

A systematic review of observational studies published between 1993 and 2023 in MEDLINE, Embase, and Cochrane Library on obesity bias and therapeutic decisions was carried out. The last search was conducted on June 30, 2023. The main outcome was the difference between clinical decisions in the treatment of individuals with and without obesity. The Newcastle-Ottawa scale for observational studies was used to assess for quality. After the selection process, articles were presented in narrative and thematic synthesis categories to better organize the descriptive analysis.

RESULTS

Of the 2546 records identified, 13 were included. The findings showed fewer screening exams for cancer in patients with obesity, who were also susceptible to less frequent pharmacological treatment intensification in the management of diabetes. Women with obesity received fewer pelvic exams and evidence of diminished visual contact and physician confidence in treatment adherence was reported. Some studies found no disparities in treatment for abdominal pain and tension headaches between patients presented with and without obesity.

CONCLUSION

The presence of obesity bias has negative effects on medical decision-making and on the quality of care provided to patients with obesity. These findings reveal the urgent necessity for reflection and development of strategies to mitigate its adverse impacts. (The protocol was registered with the international prospective register of systematic reviews, PROSPERO, under the number CRD42022307567).

Mitigating Weight Bias in the Clinical Setting: A New Approach to Care

Weight bias toward patients in larger bodies is pervasive among health care providers and can negatively influence provider-patient communication, as well as patients' behavior and health outcomes. Weight bias has historical roots that perpetuate thinness and Whiteness as the cultural norm. Although weight bias remains socially acceptable in US culture, contributing factors to an individual's body size are complex and multifactorial. Providers and health care systems also consistently use body mass index (BMI) as an indicator of health status, despite its limitations and harmful effects in the clinical setting. This state of the science review presents 8 evidence-based strategies that demonstrate how to mitigate harm from weight bias and improve quality of care and health outcomes for patients living in larger bodies. Person-centered approaches to care include (1) eliminating clinical recommendations to lose weight; (2) shifting from a focus on weight to health; (3) implementing a size and weight-inclusive approach; (4) engaging in weight bias self-evaluation; (5) creating a welcoming environment for patients of all sizes; (6) seeking permission and learning the patient's story; (7) using weight-inclusive language; and (8) re-evaluating clinical guidelines and policies based on BMI. Midwives and other health care providers may benefit from training that re-imagines the delivery of health care to patients in larger bodies.

"SO FAR AWAY" How Doctors Can Contribute to Making Endometriosis Hell on Earth. A Call for Humanistic Medicine and Empathetic Practice for Genuine Person-Centered Care. A Narrative Review

"SO FAR AWAY" * How Doctors Can Contribute to Making Endometriosis Hell on Earth [* by Knopfler M. In Dire Straits. Brothers in Arms. Vertigo Records, U.K., 1985].

Abstract

The distance physicians may create within the relationship with their patients by not having a humanistic approach to their practice may strongly influence clinical outcomes. The purpose of this paper is to convey the well-known narrative of patient dissatisfaction into pro-action by discussing the aspects of dehumanization, which may occur in the relationship between physicians and women with endometriosis. Eight dimensions of dehumanization are examined and related to everyday scenarios occurring in endometriosis care settings and the possible downstream consequences on patients' clinical outcomes are described. Objectification, which may come across as minimization of pain, may not only increase patients' perception of pain but also lead to undertreatment of unrecognized forms of endometriosis, especially among adolescents. Passivity, that is not favoring shared decision-making nor self-management, may compromise adherence to treatment, reducing patients' trust in physicians and quality of life. The same consequences may result from homogenization, that is giving for granted that all patients have the same access to care. Both isolation, ie not practicing therapeutic empathy, and loss of meaning, ie not supporting patients in the re-definition of their life plans, may affect women's psychological wellbeing and further increase pain perception. Ignoring women's personal journey by not providing clear information on the consequences endometriosis may have on their lives may favor women's self-silencing. Not promoting an un-biased communication and not setting aside scientific polarization are the main features of dislocation, which may jeopardize patient empowerment. Lastly, having a reductionist approach to the body may contribute to chronicization of pain, thus compromising quality of life. This considered, taking time to listen to women with endometriosis and tailoring decisions on the basis of their individual needs should be fostered as a moral duty. Physicians should always keep in mind that they are not only deliverers of treatment; they are a form of treatment themselves.

A scoping review to identify and organize literature trends of bias research within medical student and resident education

BACKGROUND

Physician bias refers to the unconscious negative perceptions that physicians have of patients or their conditions. Medical schools and residency programs often incorporate training to reduce biases among their trainees. In order to assess trends and organize available literature, we conducted a scoping review with a goal to categorize different biases that are studied within medical student (MS), resident (Res) and mixed populations (MS and Res). We also characterized these studies based on their research goal as either documenting evidence of bias (EOB), bias intervention (BI) or both. These findings will provide data which can be used to identify gaps and inform future work across these criteria.

METHODS

Online databases (PubMed, PsycINFO, WebofScience) were searched for articles published between 1980 and 2021. All references were imported into Covidence for independent screening against inclusion criteria. Conflicts were resolved by deliberation. Studies were sorted by goal: 'evidence of bias' and/or 'bias intervention', and by population (MS or Res or mixed) andinto descriptive categories of bias.

RESULTS

Of the initial 806 unique papers identified, a total of 139 articles fit the inclusion criteria for data extraction. The included studies were sorted into 11 categories of bias and showed that bias against race/ethnicity, specific diseases/conditions, and weight were the most researched topics. Of the studies included, there was a higher ratio of EOB:BI studies at the MS level. While at the Res level, a lower ratio of EOB:BI was found.

CONCLUSIONS

This study will be of interest to institutions, program directors and medical educators who wish to specifically address a category of bias and identify where there is a dearth of research. This study also underscores the need to introduce bias interventions at the MS level.

Weight bias reduction intervention among nurse practitioner students using simulation-based experiences

ABSTRACT

Few nurse practitioner (NP) programs include obesity and weight bias education in their curriculum. However, NPs will likely provide care for people living with obesity, many of whom have been discriminated against based on their weight by previous providers, and many NP students may feel unprepared to navigate weight management competently. This pilot study included a weight bias reduction (WBR) intervention, which included a simulation-based experience (SBE) with a standardized participant (SP) and educational activities embedded within the NP curriculum. Nineteen NP students participated in this pilot study, but only seven students had matching data for preintervention to postintervention scores. There were no statistically significant differences in preintervention and postintervention Attitudes Toward Obese Persons (ATOP) or Beliefs About Obese Persons (BAOP) scores. Despite this small sample size and not achieving statistical significance, SBE-SP holds promise to depict realistic patient encounters to improve NPs' attitudes and beliefs toward persons with obesity and to reduce weight bias. Therefore, incorporating SBE-SP may be a feasible component of the NP curriculum.

Diabetes stigma and weight stigma among physicians treating type 2 diabetes: Overlapping patterns of bias

AIMS

Adults with type 2 diabetes (T2D) report experiencing stigma across multiple settings, including stigmatizing interactions with their healthcare providers. However, research examining physician biases toward patients with T2D is scarce. Identifying stigma-related barriers in diabetes care is essential to prevent providers' biases from impairing health care delivery. This study assessed attitudes towards individuals with T2D and obesity among physicians who treat T2D.

METHODS

Physicians specializing in internal medicine or endocrinology (n=205) completed a series of online questionnaires assessing their attitudes towards patients with T2D and obesity, and their attributions of controllability and blame of individuals with T2D and obesity.

RESULTS

While 85% of physicians felt professionally prepared and confident to treat patients with T2D, 1/3 reported being repulsed by patients with T2D and view them as lazy (39%), lacking motivation (44%), and non-compliant with treatment (44%). Many witnessed professionals in their field making negative comments about patients with T2D (44%). Physicians endorsed worse levels of bias towards patients with obesity than T2D, but differences were small.

CONCLUSIONS

Findings highlight the need for stigma reduction interventions for physicians addressing both T2D and obesity. Research assessing the effects of T2D stigma on quality of patient care and health outcomes is needed.

Weight stigma and bias: A guide for pediatric clinicians

Introduction

Many children and adolescents with obesity experience weight stigma and bias, which can have detrimental mental health, medical, and social consequences. Weight stigma in the healthcare setting threatens the therapeutic relationship between health care providers and their pediatric patients and families.

Methods

Data supporting this guidance were derived from cited references.

Results

Based upon referenced citations, this review offers 7 best practices for pediatric providers to work to reduce weight stigma including: assess for personal weight bias, improve communication, provide a welcoming clinic environment, seek out additional training and informative experiences, evaluate the messaging and culture of the organization, screen for trauma and bullying, and enlist the help of board-certified obesity medicine specialists.

Conclusions

Providers have an important role in mitigating the harmful effects of weight stigma. It is our hope these recommendations, as well as the other resources provided, will help providers to begin to address their own individual weight biases, as well as the institutional weight biases where we care for patients.

Weight Stigma and Barriers to Effective Obesity Care

Weight stigma is prevalent with negative consequences for health and well-being. This problem is present in health care; stigmatizing attitudes toward patients with obesity are expressed by medical professionals across diverse specialties and patient care settings. This article summarizes the ways in which weight stigma creates barriers to effective care, including poor patient-provider communication, reduced quality of care, and healthcare avoidance. Priorities for stigma reduction in healthcare are discussed, with a clear need for multifaceted approaches and inclusion of people with obesity whose perspectives can inform strategies to effectively remove bias-related barriers to patient care.

Explicit and implicit weight bias among health care students: a cross-sectional study of 39 Australian universities

Background

Weight bias exhibited by health care students may continue into their future practice, compromising the provision of care that people living with overweight or obesity receive. This highlights the need to comprehensively examine the extent to which weight bias is present among health care students and the factors that may be associated with students' weight bias.

Methods

In this cross-sectional study, Australian university students enrolled in health care courses were invited via social media advertisements, snowball and convenience sampling, and by making direct contact with universities to complete an online survey. Students provided demographic information including discipline of study, perceived weight status, and state of residence. Students then completed several measures which assessed their explicit and implicit weight bias, and empathy. Descriptive statistics established the presence of explicit and implicit weight bias, and ANCOVAs, ANOVA, and multiple regression analyses were conducted to examine the potential factors associated with students' exhibited weight bias.

Findings

Between March 08, 2022, and March 15, 2022, 900 eligible health care students attending 39 Australian universities participated in the study. Students reported varying levels of explicit and implicit weight bias, with minimal differences between disciplines on most outcome measures. Students who identified as men (vs. women) exhibited higher of both explicit and implicit bias (Beliefs About Obese Persons (BAOP): p = 0.0002, Antifat Attitudes Questionnaire (AFA)-Dislike: p = 0.019, AFA Willpower p < 0.0001, Empathy for Obese Patients: p = 0.0011, Implicit Association Test: p = 0.022), and students who displayed greater (vs. less) empathic concern exhibited lower levels of explicit bias (BAOP, AFA Dislike and Willpower, and Empathy for Obese Patients: p < 0.0001). Having witnessed the enactment of weight stigma sporadically (vs. regularly) by role models was associated with greater attribution of the causes of obesity to willpower (a few times a month vs. daily: p = 0.020, a few times a year vs. daily: p = 0.022), and less time spent with people living with overweight or obesity outside of study was associated with more dislike (a few times a month vs. daily: p = 0.0048, once a month vs. daily: p = 0.0002) and less fear of fat (once a month vs. daily: p = 0.036, and once a month vs. a few times a week: p = 0.0028).

Interpretation

Results demonstrate the presence of both explicit and implicit weight bias among Australian health care students. Several characteristics and experiences of students were associated with their weight bias. Validity of the exhibited weight bias should be established in practical interactions with people living with overweight or obesity and novel interventions should be developed to ameliorate weight bias.

Funding

Research Training Program (RTP) Scholarship, Australian Government, Department of Education.

Characterizing the lack of diversity in musculoskeletal urgent care website content

BACKGROUND

Musculoskeletal urgent care centers (MUCCs) are becoming an alternative to emergency departments for non-emergent orthopedic injuries as they can provide direct access to orthopedic specialty care. However, they tend to be located in more affluent geographies and are less likely to accept Medicaid insurance than general urgent care centers. MUCCs utilize websites to drive patients to their centers, and the content may influence patients' consumer behaviors and perceptions of the quality and accessibility of the MUCCs. Given that some MUCCs target insured patient populations, we evaluated the racial, gender, and body type diversity of website content for MUCCs.

METHODS

Our group conducted an online search to create a list of MUCCs in the United States. For each MUCC, we analyzed the content featured prominently on the website (above the fold). For each website, we analyzed the race, gender, and body type of the featured model(s). MUCCs were classified according to their affiliation (i.e. academic versus private) and region (i.e. Northeast versus South). We performed chi-squared and univariate logistic regression to investigate trends in MUCC website content.

RESULTS

We found that 14% (32/235) of website graphics featured individuals from multiple racial groups, 57% (135/235) of graphics featured women, and 2% (5/235) of graphics featured overweight or obese individuals. Multiracial presence in website graphics was associated with the presence of women on the websites and Medicaid acceptance.

CONCLUSION

MUCC website content has the potential to impact patients' perceptions of medical providers and the medical care they receive. Most MUCC websites lack diversity based on race and body type. The lack of diversity in website content at MUCCs may introduce further disparities in access to orthopedic care.

Weight-biased attitudes about pediatric patients with obesity in Dutch healthcare professionals from seven different professions

Little is known about the prevalence of negative weight-biased attitudes among Dutch healthcare professionals (HCPs) when treating children and adolescents with obesity and whether interdisciplinary differences are present. Accordingly, we asked Dutch HCPs that treat pediatric patients with obesity to complete a validated 22-item self-report questionnaire about their weight-biased attitudes. In total, 555 HCPs participated from seven different disciplines: 41 general practitioners (GPs), 40 pediatricians, 132 youth healthcare physicians, 223 youth healthcare nurses, 40 physiotherapists, 40 dieticians, and 39 mental health professionals. HCPs from all disciplines reported to experience negative weight-biased attitudes among themselves. Pediatricians and GPs scored highest on negative weight-biased attitudes, including frustrations in treating children with obesity, and feeling less confident and prepared to treat children with obesity. Dieticians scored the least negative weight-biased attitudes. Participants from all groups perceived weight bias expressed by their colleagues, toward children with obesity. These findings are comparable to results reported by adult HCPs from other countries. Interdisciplinary differences were found and underscore the need for more research on contributing factors that impact explicit weight bias among pediatric HCPs.

Exploring the Effect of Adding an Interactive Lecture to a Standardized Patient Curriculum on the Attitudes of Third-Year Medical Students About Patients With Obesity: A Quasi-Experimental Study

OBJECTIVES

Anti-obesity bias is pervasive among medical professionals, students, and trainees. Stigmatization of patients leads to suboptimal care and clinical outcomes. Educational strategies in medical training are needed to reverse these attitudes. The aim of this study was to evaluate the effect of an innovative didactic intervention and a standardized patient (SP) exercise on attitudes towards patients with obesity among medical students.

METHODS

In 2016, a quasi-experimental study design was used at a US medical school. The class was divided into 2 groups according to a pre-determined protocol based on their clinical schedule, one assessed after exposure to a SP group and the other after exposure to the SP and an interactive lecture (IL + SP group) with real patients. The Attitudes about Treating Patients with Obesity and The Perceived Causes of Obesity questionnaires measured changes in several domains. A generalized estimating equations model was used to estimate the effect of the interventions both within and between groups.

RESULTS

Both groups showed improvements in negative and positive attitudes, although the reduction in scores for the negative attitude domain did not reach statistical significance in the IL + SP group (for the SP group, P = .01 and  < .001, respectively; for the IL + SP group, P = .15 and .01, respectively). For perceived causes of obesity, there were no statistically significant changes for pre-post survey measures within each group, except for the physiologic causes domain in the SP group (P = .03). The addition of an IL to a SP curriculum did not result in any changes for any domain in between-group analyses.

CONCLUSIONS

Although adding a novel intervention utilizing real patients to a SP curriculum failed to show an additional educational benefit, our study showed that it is possible to influence attitudes of medical students regarding patients with obesity.

Identifying the Predictors of Patient-Centered Communication by Machine Learning Methods

Patient-centered communication (PCC) quality is critical to increasing the quality of patient-centered care. Based on the nationally representative data of the Health Information National Trends Survey (HINTS) 2019–2020 (N = 4593), this study combined four machine learning methods, namely, Generalized Linear Models (GLM), Random Forests (Random Forests), Deep Neural Networks (Deep Learning), and Gradient Boosting Machines (GBM), to identify important PCC predictors through variable importance metrics. Fifteen variables were identified as important predictors, involving multiple dimensions, such as individual sociodemographic characteristics, health-related factors, and individual living habits. Among them, four novel potential associated variables are included, an individual’s level of verbal expression, exercise habits, etc., which significantly impacted respondents’ perceived PCC quality. This study revealed the value of combining feature selection with machine learning approaches to identify broad variables that could enhance PCC prediction and clinical decision-making, influence future PCC prediction research, and improve patient-centered care. In the future, other easy-to-interpret models can be combined to conduct further research on the impact direction and mechanism of important predictors on PCC.

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.