Osteoarthritic Pain | Current Treatment | Treatment Algorithms Claims Data Analysis (US)

Publish date: May 2019

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Osteoarthritic (OA) pain is the second-largest segment of the chronic pain therapy market and is expected to grow, driven by an aging population and the increasing prevalence of obesity. Yet a comprehensively effective and tolerable analgesic class alternative has not become available for this indication in nearly two decades. A successful launch of a new analgesic requires a deep understanding of current treatment patterns in this highly generic market. Over the past few years, several new therapies have launched for OA pain, providing incremental safety, tolerability, and/or dosing benefits to overcome drawbacks of the current standards of care─nonsteroidal anti-inflammatory drugs (NSAIDs) and opioid analgesics─but how have agents in these drug classes, particularly brand-only products, fared in this highly generic market in which cost-effectiveness is a primary driver of coverage?

Questions answered:

  • What patient shares do key therapies and brands garner by line of therapy in newly diagnosed OA pain patients? What are the quarterly trends in prescribing among recently treated and newly diagnosed OA pain patients?
  • How have branded agents such as abuse-deterrent opioid analgesics been integrated into the treatment algorithm, and what is their source of business?
  • What percentage of OA pain patients receive drug therapy 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 OA pain patients are treated with monotherapy versus combination therapy? What are the most commonly used combinations?
  • What are the product-level compliance and persistency rates among drug-treated patients?

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.

Table of contents

  • Treatment Algorithms Claims Data Analysis (US)
    • Treatment Algorithms CDA Osteoarthritic Pain US May 2019

Author(s): Joyce Spadafora, ALM

Joyce is a business insights analyst in Decision Resources Group’s central nervous systems and ophthalmology division, where she provides expert insight into commercial aspects of drug development and market sizing across psychiatric and pain indications. She has worked extensively in DRG’s schizophrenia and chronic pain content. Prior to joining DRG, Joyce spent several years in the biotech industry focused in research and development and in biotech consulting. Her project experience covered indications including psychiatry, pain, infectious diseases, respiratory, and ophthalmology. Beyond my therapeutic and industry knowledge, she holds a Masters in Extension Studies in Psychology from Harvard University and a in Mechanical Engineering with Biology from the Massachusetts Institute of Technology.