By SAMANTHA McCLENAHAN
Every breakthrough in cancer treatment brings hope, but it also comes with a staggering price, raising a critical question: how do we balance groundbreaking advances with the financial reality that could limit access for many patients?
Developing new cancer medications involves extensive research, clinical trials, and regulatory approvals; a lengthy process that requires substantial financial investment. Within clinical trials, this includes maintaining stringent safety protocols and managing a variety of adverse events, from mild reactions requiring little to no care to extremely severe events with hefty hospital stays and life-saving medical intervention. Take Cytokine Release Syndrome (CRS), for example. CRS is a common adverse event associated with chimeric antigen receptor (CAR) T cell therapy and other immunotherapies that presents across this spectrum with flu-like symptoms in mild cases of CRS to organ damage, and even death, in severe cases. The median cost of treating CRS following cancer-target immunotherapy is over half a million dollars in the United States. Tackling that large price tag – in addition to another $500,000 for CAR-T cell therapies – and reducing associated risks are necessary to break down barriers to care for many patients – especially those who are uninsured or with limited resources hindering the ability to travel, miss work, or secure a caregiver.
Unlocking Cost Efficiency in Clinical Trials with Digital Health Technologies
Integration of digital health technologies (DHTs) including telehealth, wearables such as smart watches, remote patient monitoring, and mobile applications in oncology care and clinical trials has shown immense value in improving patient outcomes, despite the slow uptake within the field. General benefits during clinical trials are captured through:
- Reducing clinical visits and shortening trial length – Remote patient monitoring and virtual consultations minimize the need for physical visits, accelerating trial timelines.
- Enhancing recruitment, diversity, and participant completion – Targeted outreach supported by big data analytics and machine learning algorithms helps to effectively identify and engage with eligible candidates, leading to faster recruitment and lower dropout rates. Digital technologies also overcome traditional barriers to participation, such as location, transportation, language barriers, and information access. for a broader representation of patient demographics and more generalized findings and improved healthcare equity.
- Increasing availability of evidentiary and safety requirements – Continuous data collection and monitoring in the setting most comfortable to patients – extending beyond clinical walls. This provides a pool of data to support clinical endpoints and enhances patient safety by enabling early detection of adverse events.
While the exact cost of these digital interventions varies by study, there is significant evidence that cost-saving measures are emerging.
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