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Concise Overview of Obesity Treatment Options

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This practice improvement resource provides a concise overview of diagnosis and evidence-based treatment options to support clinical decision-making in the multidisciplinary management of obesity as a complex chronic disease. The document outlines individualized obesity care, including diagnosis and staging, consideration of obesity-related conditions, therapeutic goal setting, and shared decision-making. It also summarizes foundational lifestyle and behavioral interventions; FDA-approved medications for long-term obesity management, including newer and established pharmacologic therapies; and indications for metabolic and bariatric surgery, with guidance on expected weight loss outcomes, indications and contraindications, and long-term follow-up. The resource emphasizes matching treatment intensity to obesity severity and reinforces the importance of ongoing monitoring and adjustment of therapy for this chronic disease.

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

  • Improve timely access to antiobesity medications by streamlining prior authorization processes

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

  • Improve co-management and care coordination with other specialists (e.g., 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.