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?
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.