Abstract

Patients with cancer who have limited English proficiency are more likely to experience inequities in cancer knowledge, timely care, and access to clinical trials. Matching patients with language-concordant clinicians and working with professional interpreters can effectively reduce language-related disparities, but little data are available regarding the impact of language-concordant interactions in oncology care. This study aimed to assess the use of the Roter Interaction Analysis System (RIAS) in language-concordant and -discordant interactions for patients with non-English language preference presenting for an initial oncology visit at four New York City hospitals. We used the RIAS, a validated tool for qualitative coding and quantitative analysis, to evaluate interactions between 34 patients and 16 clinicians. The pairings were stratified into dyads: English language-concordant (n = 12); professionally interpreted (n = 11); partially language-concordant (n = 4, partially bilingual clinicians who communicated in Spanish and/or used ad hoc interpreters); and Spanish language-concordant (n = 7). A trained Spanish-speaking coder analyzed the recordings using established RIAS codes. Spanish language-concordant clinicians had almost two-fold greater number of statements about biomedical information than English language-concordant clinicians. Spanish language-concordant patients had a higher tendency to engage in positive talk such as expressing agreement. The number of partnership/facilitation-related statements was equivalent for English and Spanish language-concordant groups but lower in professionally interpreted and partially language-concordant dyads. Language concordance may facilitate more effective biomedical counseling and therapeutic relationships between oncology clinicians and patients. Future research should further explore the impact of language concordance on cancer-specific health outcomes.

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