The proposed study is part of a research and training plan that will enable Dr. Sean Phelan to reach his goal of improving health care quality and disease outcomes for obese individuals by identifying and eliminating barriers to high-quality health care. One such barrier that may negatively affect the quality and content of communication with obese patients is bias or prejudice against obese people. Obesity bias is pervasive in both public and health care provider populations. The implications of high levels of bias in medical students and other health care providers are not known;however, there is considerable evidence that bias against a social group negatively impacts behavior toward members of that group. Health care provider bias against stigmatized groups may contribute to disparities in patient-centered care and provider decision-making. The direct impact of implicit and explicit bias against obese patients on provider behavior has not been investigated. This represents a significant gap in our knowledge of how patient obesity influences quality of care. Potential areas of behavior in the clinical encounter that may be negatively influenced by obesity bias include (i) patient-centered communication, which predicts better patient outcomes, satisfaction, and adherence;and (ii) initiation of discussion of health behavior changes, a practice consistent with clinical guidelines.
The specific aims of this study are to 1) evaluate th association between advanced medical students'implicit and explicit obesity bias and their patient-centered communication in treatment encounters with obese standardized patients;and 2) evaluate the association between advanced medical students'implicit and explicit obesity bias and clinical decision-making in treating obese patients. Validated interaction analysis strategies will be applied to videotaped encounters between medical students and obese standardized patients in order to measure patient-centered communication and decision-making. A survey will be used to assess implicit and explicit obesity bias and other attitudes in order to achieve the aims of this study. This proposal includes a comprehensive training plan that combines didactic learning with collaborative research experiences. Mentors for this project are productive researchers with expertise in obesity bias, patient- centered communication, and the role of provider bias in health disparities. This research and training plan will take place inan extremely supportive research environment at the Department of Family Medicine at the University of Minnesota Medical School. Public Health Relevance: This research will determine whether obesity bias negatively affects the quality and content of communication between health care providers and obese patients, which may lead to lower adherence, less satisfaction, and worse outcomes. The results of this study will inform the development of interventions to improve patient-centered quality of care for obese and overweight patients.
This study will examine the impact of medical student implicit and explicit bias against obese people on patient-centered communication and clinical decision-making in encounters with obese patients. Results will guide interventions to improve patient-centered quality of care for obese and overweight patients. The training plan will further enable the PI to develop research that improves health care quality and outcomes for obese individuals by identifying and eliminating barriers to high-quality health care.
|Phelan, Sean M; Dovidio, John F; Puhl, Rebecca M et al. (2014) Implicit and explicit weight bias in a national sample of 4,732 medical students: the medical student CHANGES study. Obesity (Silver Spring) 22:1201-8|
|Hellerstedt, W L; Phelan, S M; Cnattingius, S et al. (2013) Are prenatal, obstetric, and infant complications associated with postpartum psychosis among women with pre-conception psychiatric hospitalisations? BJOG 120:446-55|
|Aronson, Joshua; Burgess, Diana; Phelan, Sean M et al. (2013) Unhealthy interactions: the role of stereotype threat in health disparities. Am J Public Health 103:50-6|