Type 1 Diabetes | Treatment Algorithms | Claims Data Analysis | US | 2019

Current treatment of type 1 diabetes (T1D) consists only of exogenous insulins and Symlin, with Lantus as the patient-share leader in the United States. Intensive insulin regimens have been shown to delay the progression of complications associated with untreated or poorly treated T1D. However, differences exist in choice of branded insulin, choice of regimen, and order in which brands and/or regimens are attempted. In addition, the launch of biosimilar insulins is having a profound effect on the T1D therapy market, and we are witnessing mixed physician attitudes toward this new treatment option.

QUESTIONS ANSWERED

What patient shares do Lantus, NovoLog, and Levemir garner by line of therapy in newly diagnosed type 1 diabetes patients? What are the quarterly trends in prescribing among recently treated and newly diagnosed type 1 diabetes patients?
What percentage of type 1 diabetes patients receive insulin within one year of diagnosis, and how quickly? What percentage of patients progress to later lines of therapy within one year of diagnosis?
What percentage of type 1 diabetes patients are treated with monotherapy vs. combination therapy insulin? What are the most commonly used combinations?
What are the product-level compliance and persistency rates among drug-treated type 1 diabetes patients?

CONTENT HIGHLIGHTS

Geographies: United States

Real World Data: Longitudinal patient-level claims data analysis

Key Drugs Covered: Lantus, Levemir, Toujeo, Apidra, NovoLog, Fiasp, Humalog, Tresiba, Admelog, Basaglar

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 flowcharts

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 you can accurately assess your source of business, benchmark usage against competitors, and quantify areas of opportunity for your marketed or emerging brand.

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Type 1 Diabetes | Treatment Algorithms | Claims Data Analysis | US | 2019

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