Addressing Microaggressions in Racially Charged Patient-provider Interactions: A Pilot Randomized Trial

We used the Roter Interactional Analysis System (RIAS), a turn-by-turn coding system in which each provider and patient utterance is coded into one of 40 categories of speech, which can be combined to create various summary scores. RIAS codes have demonstrated validity with a variety of samples and medical contexts. For the current study, two trained RIAS coders provided ratings, and both coders coded a subset of tapes (10%) for reliability (r= 0.92). Because standardized patients in our study were following a protocol and not responding naturally, we analyzed only provider codes, specifically the Emotional Rapport Building summary score which is a composite of doctor codes including emotional statements, legitimizing statements, concern statements, partnership statements, self-disclosure statements, and reassurance statements.

We modified observer-based responsiveness coding systems used in previous research that operationalized positive responsiveness in dyads as concrete instances of understanding, validation, and caring on a 0 to 3 scale. We expanded the previous 0 code, which originally combined both no responses (e.g., simply ignoring the challenge) and invalidating responses (e.g., defensive or microaggressive responses), into a negative responsiveness dimension and provided anchors and examples for each score, producing a Likert scale from - 3 to + 3, as shown in Table 3. Four coders were trained to high reliability.

Single-item question analyzed by responsiveness coders, asking "did the doctor say anything offensive?"

Single-item question analyzed by responsiveness coders, asking "Was the doctor overtly biased against the patient?"

Single-item question analyzed by responsiveness coders, asking "Would you recommend that a Black friend with the same problem as this patient see this doctor over any other doctor?"

Single-item question analyzed by responsiveness coders, asking "Do you think the patient had a positive experience?"

Everyday Multicultural Competencies/Revised Scale of Ethnocultural Empathy (EMC/RSEE), which has strong evidence for factor structure, reliability and discriminant validity. There are multiple subscales; we were interested in empathic perspective-taking and acting as an ally

To assess explicit attitudes towards various ethnic and racial groups, participants provided feeling thermometer ratings for different groups of people, including African Americans and 13 other demographic categories, from 0 (extremely unfavorable) to 100 (extremely favorable). Low scores on feeling thermometers are interpreted as a simple indicator of explicit prejudice.

After each standardized patient interaction, participants completed the 12-item Bond subscale of the Working Alliance Inventory (WAI), a widely used measure to assess the provider-patient alliance in therapeutic interactions. Bond subscale items ask about specific feelings toward the patient, including "I respect this patient."

After each standardized patient interaction, participants answered three questions about their experience of the interaction. First, they completed the Inclusion of the Other in the Self (IOS) scale, a well-validated, single-item, pictorial measure of relational closeness which has been used to assess closeness in interracial contexts and between patients and providers. The other two closeness items were the following: 1) Relative to all your other relationships with patients (outside of this study), how would you characterize your relationship with this patient? and 2) Relative to what you know about other patient's relationships with their doctors, how would you characterize your relationship with this patient? Agreement with these items was assessed on a 7-point Likert scale ranging from 1 (less close) to 7 (more close).