Identifying content-based and relational techniques to change behaviour in motivational interviewing.

Area of Science:

• Behavioral Science
• Health Psychology
• Intervention Science

Background:

• Motivational interviewing (MI) is a key intervention for behavior change, but its techniques lack systematic classification.
• Understanding the distinct components of MI is crucial for effective intervention design and research.

Purpose of the Study:

• To identify and classify unique techniques within motivational interviewing (MI).
• To differentiate between content-based and relational techniques in MI.
• To assess the overlap of MI techniques with the Behavior Change Technique Taxonomy version 1 (BCTTv1).

Main Methods:

• Behavior change experts content-analyzed MI techniques based on established conceptualizations.
• Independent experts coded techniques for uniqueness and compared them against the BCTTv1.
• A panel of 10 experts rated the clarity, uniqueness, preciseness, and distinctiveness of identified MI techniques.

Main Results:

• 38 distinct MI techniques were identified with high expert agreement.
• 16 techniques were classified as relational, and 22 as content-based.
• 16 MI techniques showed substantial overlap with existing BCTTv1 techniques.

Conclusions:

• The systematic isolation and classification of MI techniques provide tools for precise intervention specification.
• Distinguishing between relational and content-based techniques advances understanding of MI's mechanisms of change.
• This framework will enable researchers to test the specific effects of MI techniques on health behavior.