Discourse analysis and the doctor-patient relationship

Area of Science:

• Linguistics
• Medical Communication
• Discourse Analysis

Background:

• Effective patient-physician communication is crucial for quality healthcare.
• Existing methods for analyzing medical discourse lack detailed descriptive capabilities.

Purpose of the Study:

• To introduce and validate a "taxonomy of verbal response modes" for analyzing medical interviews.
• To provide a framework for understanding the interpersonal dynamics in patient-physician interactions.

Main Methods:

• Development of a classification system with eight mutually exclusive and exhaustive verbal response modes.
• Analysis of verbal interactions based on grammatical form and interpersonal intent.
• Identification of 64 possible verbal response modes (8 pure, 56 mixed).

Main Results:

• The taxonomy provides fine-grained descriptions of patient-physician interaction.
• Specific utterance types and exchanges linked to patient satisfaction were identified.
• The system offers a detailed vocabulary for communication analysis.

Conclusions:

• The verbal response modes taxonomy offers a robust tool for analyzing medical discourse.
• This framework can improve the understanding of communication patterns and patient satisfaction.
• The system has potential applications in medical education for teaching interviewing skills.