Weight Bias in Healthcare: How to Improve Patient Outcomes

Weight Bias in Healthcare: How to Improve Patient Outcomes

For clinicians committed to upholding the ethical imperative of nonmaleficence, remaining aware of personal biases that may affect patient care is essential. However, research increasingly shows that weight bias among health care providers is widespread and deeply harmful to patients. Such findings highlight the need for comprehensive efforts to increase awareness of weight bias and reduce its impact on patient health.

How Weight Bias Shows Up in Health Care Settings

“One common manifestation of weight bias occurs during patient-provider interactions in which providers display their negative attitudes towards higher-weight patients,” according to Samantha Philip, a doctoral student in the Department of Psychological and Brain Sciences at Texas A&M University in College Station.

For instance, some physicians make “judgmental or insulting comments about patients’ weight, offer blunt and unsolicited weight-loss recommendations, and use scare tactics,” as Dr Philip and colleagues found in a 2023 study.1 

Weight bias may drive the assumption that a higher-weight patient’s health challenges are caused by their weight, and providers may believe the myth that weight is a matter of personal control and willpower, she continued. On the contrary, studies have demonstrated that weight is significantly influenced by genetic and environmental factors and that the “most common outcome of weight loss is weight gain,” with an earlier study showing that up to two-thirds of people eventually gaining back more weight than they lost.2,3

These inherent biases or beliefs in stereotypes can negatively affect both the provision of care and the health of patients.

“Another myth is that high body weight is inherently unhealthy,” Dr Philip said. Although higher BMI has been linked to higher mortality risk, for example, physical activity has been found to fully account for this relationship.4,5 “In other words, health outcomes are much better predicted by behaviors than by weight itself.”

Dr Philip also pointed to structural forms of weight bias embedded in the broader health care system. Health care settings may lack size-inclusive seating in waiting rooms and size-inclusive medical equipment in examination rooms, thus signaling to higher-weight patients that they are unwelcome. 

“Additionally, patients are categorized using a BMI chart and labeled as ‘obese’ or ‘overweight’ and are routinely provided weight management counseling if their BMI is within a certain range,” she noted.6 “Studies show that these labels are frequently stigmatizing to patients and that unsolicited weight management counseling—even when delivered with a neutral tone—can be stigmatizing.”7,8

Weight Bias in Pediatric Settings

Such bias and stigma regarding higher-weight patients is not limited to adult health care settings, noted Kathryn E Kyler, MD, MSc, FAAP, a pediatric hospitalist in the Division of Hospital Medicine at Children’s Mercy Kansas City and assistant professor of pediatrics at the University of Missouri-Kansas City. “Weight bias in pediatric health care is more common than one might think,” she said.9,10

In a study published in 2024 in the Journal of Eating Disorders, Dr Kyler and colleagues surveyed providers at a large pediatric hospital and found that 1 in 5 survey respondents incorrectly believed that higher-weight patients are more likely to be non-compliant with recommended treatments.9

Their findings further revealed that more than one-third of providers surveyed reported that other professionals in their field hold negative stereotypes against higher-weight patients, and nearly one-half of respondents indicated that they had overheard a colleague making disparaging comments about such patients.9

Effects of Weight Bias on Patient Care and Health

“These inherent biases or beliefs in stereotypes can negatively affect both the provision of care and the health of patients,” Dr Kyler said. “Weight-based discrimination has been linked to psychological and medical effects such as depression, negative self-esteem, disordered eating, lower likelihood of exercise, decreased glycemic control, and increased cortisol levels.”9,11

Dr Philip described multiple ways in which weight bias can undermine the quality of patient care, including effects on clinical judgment and decision-making. Along with the view that higher-weight patients are less treatment-adherent and more responsible for their health challenges, studies have demonstrated that providers may view these patients as less healthy than lower-weight patients.11

Due to weight bias, clinicians may conduct an inadequate clinical examination, fail to order necessary testing, and provide limited treatment options. Providers with unchecked weight bias may also spend less time with higher-weight patients.11

“This bias can lead to providers overlooking underlying medical conditions and denying patients access to essential and accurate treatment,” Dr Philip said. In a provisionally accepted scoping review, she and her colleagues found that “weight bias manifests in similar ways, even in mental health treatment settings,” she shared.12

Various studies have shown that weight bias can damage the relationship between patients and providers and create barriers to health care access for higher-weight patients. “Because of weight bias, these patients report poorer expectations of treatment, lower trust, and poorer communication with their clinicians compared to their lower-weight counterparts,” Dr Philip explained.13“In turn, patients seek out new doctors and delay or avoid medical appointments altogether.”11,14

Clinician Recommendations for Addressing Weight Bias

To improve care and outcomes for higher-weight patients and reduce the harms associated with the weight-centric health care model, provider awareness and changes in treatment practices are crucial.

“The first step clinicians can take is to grow their own knowledge about existing biases they may have toward patients based on their weight,” Dr Kyler advised. The Weight Implicit Association Test, developed by Project Implicit, can “inform you about your own biases, allowing you to check those biases more consciously at the door when you care for individuals of all weights.”

She recommends that providers maintain a sense of curiosity, withhold judgement, and keep an open mind regarding their patients. “Everyone has a different background and life experience, so approaching each patient interaction with fresh eyes is key.”

Dr Philip suggests that clinicians approach their own weight bias with curiosity rather than shame and focus on actions they can take to reduce the impact of weight bias on patients. “Weight bias is deeply embedded in our culture, and beliefs about weight are socialized. What providers do with the knowledge of their bias is most important.” 

She recommends that clinicians reflect on messages they have learned from the media, their education, and close others regarding weight and size, and consider the following questions:

  • What assumptions do you make about larger peoples’ characteristics, intelligence, or health?
  • What automatic emotional reactions do you have toward higher-weight patients?
  • How might these assumptions and reactions affect the care you provide to higher-weight patients? 

“Reducing weight bias takes work, and it is recommended that you seek training from a new perspective to unlearn some of the myths that are commonly taught in health care programs but reinforce weight stigma,” she said.

Moving Toward a Weight-Inclusive Approach

Dr Philip advises that clinicians learn more about weight stigma in health care and how to practice from a weight-inclusive approach such as Health at Every Size. “Fundamental to these teachings is the argument that every person has the right to exist in their bodies just as they are,” she explained. “Learning to celebrate and appreciate naturally occurring body diversity can have a massive impact.”

Dr Philip offered the following recommendations that can help providers create a more weight-inclusive practice: 

  • Give patients the option to opt out of being weighed at appointments, unless medically necessary—in which case, providers can offer a blind weigh-in.
  • Instead of asking closed-ended (yes/no) questions, ask patients open-ended questions about their health behaviors and goals, which reduces the risk of making assumptions.
  • In addition to physical activity and dietary behaviors, focus on holistic health behaviors such as sleep, stress reduction, and social support, that make sense for the individual and their circumstances.
  • Most importantly, focus on health behaviorsinstead of weight, and avoid making unsolicited weight loss recommendations. When tempted to provide weight loss advice, a simple rule of thumb is to consider what recommendations you would offer to a thin patient with the same health challenges. 

Dr Kyler cited the need for health systems and clinicians to provide a range of chairs, blood pressure cuffs, and hospital gowns to accommodate patients of all sizes.

Ongoing Needs

Education, training, and continued research are among the key measures needed to understand and reduce weight bias in health care.

“We need to see improvements in health care curricula to increase trainees’ awareness and understanding of weight bias and its harmful effects on patients—both in their health care and day-to-day living,” Dr Philip stated. “Health care trainees also need to be equipped with more knowledge about the determinants of weight and body size, the controllability of weight, and the empirical support for nonweight focused methods for improving both health and well-being.”

In terms of research, more work is needed to elucidate the effects of weight bias on the health of higher-weight children and their parents, Dr Kyler said. “Additionally, understanding which types of health care interactions have the highest risk of and impact from weight discrimination would help identify areas where improvements are most needed.”

This article originally appeared on The Cardiology Advisor

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