Evolving assessment pathways for precision oncology medicines to improve patient access: a tumor-agnostic lens.

BACKGROUND: Genomic and molecular alterations are increasingly important in cancer diagnosis, and scientific advances are opening new treatment avenues. Precision oncology (PO) uses a patient's genomic profile to determine optimal treatment, promising fewer side effects and higher success rates. Within PO, tumor-agnostic (TA) therapies target genomic alterations irrespective of tumor location. However, traditional value frameworks and approval pathways pose challenges which may limit patient access to PO therapies. OBJECTIVES: This study describes challenges in assessing PO and TA medicines, explores possible solutions, and provides actionable recommendations to facilitate an iterative life-cycle assessment of these medicines. METHODS: After reviewing the published literature, we obtained insights from key stakeholders and European experts across a range of disciplines, through individual interviews and an industry workshop. The research was guided and refined by an international expert committee through 2 sounding board meetings. RESULTS: The current challenges faced by PO and TA medicines are multiple and can be demonstrated through real-world examples of the current barriers and opportunities. A life-cycle approach to assessment should be taken, including key actions at the early stages of evidence generation, regulatory and reimbursement stage, as well as payment and adoption solutions that make use of the evolving evidence base. Working toward these solutions to maximize PO medicine value is a shared responsibility and stands to benefit all stakeholders. CONCLUSIONS: Our call to action is to expand access to comprehensive genomic testing, foster a learning health care system, enable fast and equitable access to cost-effective treatments, and ultimately improve health outcomes.

Diagnosis Confirmation Model: A Value-Based Pricing Model for Inpatient Novel Antibiotics.

The Diagnosis Confirmation Model (DCM) includes a dual-pricing mechanism designed to support value-based pricing of novel antibiotics while improving the alignment of financial incentives with their optimal use in patients at high risk of drug-resistant infections. DCM is a market-based model and complementary to delinked models. Policymakers interested in stimulating antibiotic innovation could consider tailoring the DCM to their reimbursement systems and incorporating it into the suite of incentives to improve the economics of antibiotics.