There is an epidemic failure within the game to understand what is really happening. ––Peter Brand (Jonah Hill), Moneyball, 2011.
In Moneyball, the 2011 movie and preceding book by Michael Lewis, the confluence of talent, the creative use of statistical analysis, and a relentless drive to think differently about a historic, complex game translate into an improbable success story. Similarly, over the past decade, the field of oncology has experienced an extraordinary rate of innovation, a rapid emergence of highly transformational genomic diagnostic technologies, and the approval of a wealth of effective targeted therapeutics. A recent IQVIA Global Oncology Trend Report noted that in 2018, 15 new oncology agents were approved for clinical indications for 18 cancer types.1
The pipeline for new oncology therapeutic agents continues to grow at a breathtaking pace and has expanded by 63% since 2013.1 In particular, there has been a dramatic expansion in the number of targeted therapeutic agents for patients affected by lung cancer, melanoma, breast cancer, acute and chronic leukemias, lymphoma, and multiple myeloma. The human impact of this level of innovation has been extraordinary. According to the New England Journal of Medicine, the 5-year survival outcome for patients with melanoma has risen to 71% through the use of targeted anticancer agents, from a historic benchmark of 28%.2,3 Improvements in survival for non—small cell lung cancer have been even more striking. Data presented at the most recent American Society of Clinical Oncology annual meeting demonstrate that the 5-year survival rate for untreated patients with metastatic disease who were candidates for checkpoint inhibitor treatment was 23.2%. By contrast, the historic 5-year survival for this group is less than 1%.4
Unfortunately, all of this success has occurred in the face of an unprecedented escalation in care costs. The recent IQVIA Institute study reports that, “Spending on all medicines used in the treatment of patients with cancer reached nearly $150 billion in 2018, up 12.9% for the year and marking the fifth consecutive year of double-digit growth.” This growth was driven entirely by therapeutic drugs, which grew 15.9%.1
This level of growth in cancer care costs challenge the sustainability of delivering this care equitably to all patients who need it. The future sustainability of oncology will not, however, be ensured by incremental changes to our cancer care delivery system. The road to more financially sustainable care delivery will not be achieved through changes to the evaluation and management coding system or repeating platitudes about the importance of value-based care.
This month’s issue of Evidence-Based Oncology™ focuses on understanding what is really happening in this new, extraordinary world of cancer care. This level of understanding can only come about through a deeper understanding of genomic target identification and prioritization, clinical outcomes data, clinical—financial risk modeling, identifying and prioritizing stakeholder needs, and exploration of innovative models of high-cost therapeutic financing and clinical reimbursement. In an interview, Duane Putnam, the first director of payer and employer outreach for the National Comprehensive Cancer Network, describes the importance of employers in ensuring that innovative anticancer therapeutics are included in their benefit plans. In another article, we explore the opportunities for improving access to innovative therapeutics through novel financial strategies that are being developed by the NEW Drug Development ParadIGmS group at Massachusetts Institute of Technology. Williamson et al describe the way in which biosimilars may help to create downward pressure on the cost of key anticancer therapeutics. Finally, Patel and colleagues describe shared risk strategies for practices preparing for 2-sided risk in the Oncology Care Model.
We are living in a truly exceptional era in cancer care. Historic models of delivering care are ill-suited to meet the challenges and deliver the exciting opportunities that lie ahead for patients and their families. By convening healthcare stakeholders in the creation of a model that can embrace the necessary complexities of genomic testing data, patient risk segmentation, risk—cost alignment, and delivery of meaningful outcomes, we can help stakeholders understand what is really happening. By doing so, we can bring patients and families one giant leap closer to realizing the full breadth of promise that lies ahead. ​​​​​​​REFERENCES:
Exploring Racial, Ethnic Disparities in Cancer Care Prior Authorization Decisions
October 24th 2024On this episode of Managed Care Cast, we're talking with the author of a study published in the October 2024 issue of The American Journal of Managed Care® that explored prior authorization decisions in cancer care by race and ethnicity for commercially insured patients.
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FDA Approves Danziten for Chronic Myeloid Leukemia Without Mealtime Restrictions
November 14th 2024The FDA has granted approval to Azurity Pharmaceuticals' nilotinib tablets (Danziten), a novel version of the tyrosine kinase inhibitor for chronic myeloid leukemia that can be taken without mealtime restrictions.
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Examining Low-Value Cancer Care Trends Amidst the COVID-19 Pandemic
April 25th 2024On this episode of Managed Care Cast, we're talking with the authors of a study published in the April 2024 issue of The American Journal of Managed Care® about their findings on the rates of low-value cancer care services throughout the COVID-19 pandemic.
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Bridging Cancer Care Gaps and Overcoming Medical Mistrust
November 13th 2024In this clip from our interview with Oscar B. Lahoud, MD, cochair of our Institute for Value-Based Medicine® evening hosted with NYU Langone Health, he addressed medical mistrust in underrepresented communities.
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How English- and Spanish-Preferring Patients With Cancer Decide on Emergency Care
November 13th 2024Care delivery innovations to help patients with cancer avoid emergency department visits are underused. The authors interviewed English- and Spanish-preferring patients at 2 diverse health systems to understand why.
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