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Area of Science:

  • Oncology
  • Health Disparities
  • Medical Communication

Background:

  • Limited English proficiency in cancer patients leads to inequities in knowledge, care access, and clinical trial participation.
  • Language-concordant clinicians and professional interpreters can mitigate language-related disparities.
  • Limited data exists on the specific impact of language concordance in oncology interactions.

Purpose of the Study:

  • To assess the Roter Interaction Analysis System (RIAS) utility in evaluating language-concordant and -discordant interactions.
  • To analyze communication patterns in initial oncology visits for patients with non-English language preferences.
  • To investigate disparities in oncology care related to language barriers.

Main Methods:

  • Utilized the Roter Interaction Analysis System (RIAS) for qualitative and quantitative analysis of patient-clinician interactions.
  • Stratified 34 patients and 16 clinicians into four dyad types: English-concordant, professionally interpreted, partially language-concordant, and Spanish-concordant.
  • A trained coder analyzed recordings using established RIAS codes for Spanish language interactions.

Main Results:

  • Spanish language-concordant clinicians delivered nearly double the biomedical information compared to English-concordant clinicians.
  • Patients in Spanish language-concordant dyads showed increased positive talk, such as expressing agreement.
  • Partnership/facilitation statements were similar in English and Spanish concordant groups but lower in interpreted or partially concordant dyads.

Conclusions:

  • Language concordance enhances biomedical counseling and strengthens therapeutic relationships in oncology.
  • Further research is needed to explore the effects of language concordance on cancer-specific health outcomes.
  • Addressing language barriers is crucial for equitable cancer care delivery.