Obesity/Overweight | Treatment Algorithms: Claims Data Analysis | US | 2020

Obesity is a significant public health concern in the United States. The body of evidence highlighting the physical and economic impact of obesity on society is growing steadily. Generic phentermine is still the most frequently used first-line therapy. This drug has been on the U.S. market for decades. However, since 2012, several novel branded drugs have entered the market. The approved agents include Novo Nordisk’s Saxenda (liraglutide), Vivus’s Qsymia (phentermine/topiramate), Eisai’s Belviq (lorcaserin), and Currax Pharmaceuticals’ Contrave (naltrexone/bupropion). This report provides important insights into how prescription weight-loss agents are being utilized in the management of obesity and how the practice is evolving.

QUESTIONS ANSWERED

• What patient shares do key therapies and brands garner by line of therapy in newly diagnosed obese patients? What are the quarterly trends in prescribing among recently treated and newly diagnosed patients?
• How has Saxenda been integrated into the treatment algorithm, and what is its source of business?
• What percentage of obese patients receive drug therapy within one year of diagnosis, and how quickly do they receive it? What percentage of patients progress to later lines of therapy within one year of diagnosis?
• What percentage of obese patients are treated with monotherapy versus combination therapy? What are the most common combinations?
• What are the product-level compliance and persistency rates among drug-treated patients?

GEOGRAPHIES

United States

REAL-WORLD DATA

Longitudinal patient-level claims data analysis

KEY DRUGS COVERED

Saxenda, Qsymia, Contrave, Belviq, Xenical, phentermine

KEY ANALYSIS PROVIDED

Brand/therapy usage across longitudinal patient sample

Newly diagnosed patient analysis

Treatment initiation and progression

Line of therapy analysis

Combination therapy analysis

Source of business for recently treated patients

Persistency and compliance analysis

Product-level patient flowchart

PRODUCT DESCRIPTION

Treatment Algorithms: Claims Data Analysis provides detailed, quantitative analysis of the treatment journey and brand usage across lines of therapy and overall using real-world, patient-level claims data so that marketers can accurately assess their source of business, benchmark usage against competitors, and quantify areas of opportunity for their marketed or emerging brand.