Relationships Between Chronic Illness, Body Mass Index, and Patient-Provider Communication

Little is known about how higher-weight patients experience patient-provider communication, particularly among those with chronic illness. This study uses quantitative analytical methods and nationally representative data to determine how patient-provider communication is affected when patients have one or more chronic illnesses, as well as if patient BMI has a moderating effect on this association. Pearson correlation and multivariate logistic regression were both used to determine the significance of these associations. A significant, negative, relationship was found between overall patient-provider communication and patient chronic illness status, but no significant relationship was found between respondent BMI and patient-provider communication. There was no observable moderation effect of respondent BMI on the relationship between their number of chronic illnesses and the perceived quality of the patient-provider communication they experienced. From this study there is evidence that patients with multiple chronic illness experience worse communication with their health care providers which could be due to numerous types of bias. More research is needed to better understand if and how weight and other bias affects outcomes for chronically ill patients. Research implications include improving the comprehensiveness of nation-wide surveys that measure health care quality to include improved measures of perceived bias, including weight bias, and patient-provider communication, as these are complex, multi-factorial concepts.