ArticlePatient education and counseling2024
Discriminatory and valuing communication behaviors in cardiology encounters.
Article in Patient education and counseling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Exploring Racial Differences in Family Expressions of Emotion and Clinician Empathy in ICU Family Meetings.CHEST critical care · 2025Article
- Examining Potential Implicit Bias in Oncologist-Patient Communication (CONNECT): Protocol for an Observational 2-Site Study.JMIR research protocols · 2025Article
Corrections and comments
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Authors and funding
8 authors.
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Abstract
objectiveMany have found racial differences in clinician-patient communication using validated codebooks that represent effective communication. No codebooks used for examining racial differences, however, have included patient input. In this paper, we describe creating codebook with Black patient advocates to determine if we could reliably code discriminatory/valuing communication and assess racial differences in these behaviors.
methodsWe created a codebook for discriminatory/valuing communication behaviors with the input of Black patient advocates. We used the codebook to analyze data from 101 audio recorded encounters between White cardiologists and Black and White patients. We examined the differences in the prevalence of behaviors in cardiology encounters.
resultsIn comparison to White patients, cardiologists made fewer tailoring statements to their Black patients (68% vs. 49%, p = 0.07). Coders found 4 instances of stereotyping behaviors and only Black patients (p = 0.12). We found no significant associations between any of the other outcomes and patient race. Black patients had a lower incidence of tailoring statements (p = 0.13), lower incidence of interrupting statements (p = 0.16), and higher rushed global score (p = 0.14). CONCLUSION AND PRACTICE IMPLICATIONS: We found that coders can reliably identify discriminatory/valuing behaviors in cardiology encounters. Future work should apply these codes to other datasets to assess their validity and generalizability.
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