The impact of Black cancer patients' race-related beliefs and attitudes on racially-discordant oncology interactions: A field study

Abstract

ObjectiveBoth physician and patient race-related beliefs and attitudes are contributors to racial healthcare disparities, but only the former have received substantial research attention. Using data from a study conducted in the Midwestern US from 2012 to 2014, we investigated whether 114 Black cancer patients' existing race-related beliefs and attitudes would predict how they and 18 non-Black physicians (medical oncologists) would respond in subsequent clinical interactions. MethodAt least two days before interacting with an oncologist for initial discussions of treatment options, patients completed measures of perceived past discrimination, general mistrust of physicians, and suspicion of healthcare systems; interactions were video-recorded. Measures from each interaction included patients' verbal behavior (e.g., level of verbal activity), patients' evaluations of physicians (e.g., trustworthiness), patients' perceptions of recommended treatments (e.g., confidence in treatment), physicians' evaluations of patient personal attributes (e.g., intelligence) and physicians' expectations for patient treatment success (e.g., adherence). ResultsAs predicted, patients' race-related beliefs and attitudes differed in their associations with patient and physician responses to the interactions. Higher levels of perceived past discrimination predicted more patient verbal activity. Higher levels of mistrust also predicted less patient positive affect and more negative evaluations of physicians. Higher levels of suspicion predicted more negative evaluations of physicians and recommended treatments. Stronger patient race-related attitudes were directly or indirectly associated with lower physician perceptions of patient attributes and treatment expectations. ConclusionResults provide new evidence for the role of Black patients' race-related beliefs and attitudes in racial healthcare disparities and suggest the need to measure multiple beliefs and attitudes to identify these effects.