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Motivational Interviewing for Behavior Change in Obesity Management

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This resource provides an overview of motivational interviewing (MI) as an evidence-based approach to support behavior change in obesity management. It addresses the challenge of engaging patients in effective discussions on behavior change for obesity management by presenting MI as a tool that can promote behavior modification by helping individuals explore and resolve barriers to change and strengthening their motivation and confidence. Key topics include the principles and processes of MI, communication techniques, and practical strategies for implementation in clinical practice. The resource also highlights appropriate language use in obesity management, behavior change techniques, and treatment planning. Developed as a resource for practice improvement, it offers practical guidance on effective, collaborative communication techniques for obesity care.

Released: July 21, 2026

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Provided by Clinical Care Options in partnership with Froedtert & Medical College of Wisconsin and Q Synthesis.

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Supporters

This activity is supported by an educational grant from Lilly.

Lilly

Partners

Medical College of Wisconsin

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Q Synthesis

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Target Audience

This activity is intended for primary care physicians.

Learning Objectives

Upon completion of this activity, participants should be able to:

  • Standardize care plans for adults with obesity

  • Increase referrals to supportive services (e.g., nutrition, behavioral health) to provide comprehensive obesity care

  • Improve comanagement and care coordination with other specialists (eg, surgeons, endocrinologists)

  • Improve care coordination and transitions in care when patients with obesity are discharged from the hospital and instructed to follow up with outpatient providers

  • Track and improve patient outcomes, including changes in weight and BMI

Financial Disclosures

Primary Author

Joseph Kim, MD, MPH, MBA, has no relevant financial relationships to disclose.

Additional Disclosures

Generative artificial intelligence (AI) tools were used for drafting educational content. All AI-assisted content underwent human review, editing, and validation by qualified faculty and accredited education staff to ensure scientific accuracy, balance, and compliance with the ACCME Standards for Integrity and Independence in Accredited Continuing Education.