Publication

The Power of Prediction: How Real-World Insights Can Strengthen Access to Healthcare and Medical Outcomes

Axios International

Published

Key Takeaways

Cancer medicines are advancing rapidly, but access has not kept pace. Patient Assistance Programs (PAPs) help address financial barriers to treatment, yet patient outcomes are shaped by a broader range of factors, including healthcare setting, cancer type, treatment characteristics, patient circumstances, and program design. Drawing on real-world data from 18,076 patients across 21 countries and 87 oncology medicines, this white paper highlights how real-world data can help identify patterns, anticipate barriers, and inform more proactive, patient-centered access program design and management. Factors associated with patient outcomes in PAPs:

  • Country plays a significant role. Country was strongly associated with all four outcomes, even after controlling for patient, disease, and product factors.
  • Patient journeys differ by cancer type. Gastrointestinal and head and neck cancers were linked to worse survival and shorter treatment. Patients with hematologic malignancies stayed on treatment longer and were less likely to drop out.
  • Treatment duration and completion vary by how a medicine is given. Oral therapies were associated with longer treatment duration but higher odds of dropout before completion than intravenous therapies, possibly because home-based treatment offers fewer touchpoints with the health system.
  • Support systems can make a difference. A registered caregiver was linked to longer treatment. Pharmacies with more PAP experience were linked to fewer serious adverse events.

Axios White Pag Cover

This study represents the first phase of a broader effort to make PAP design and management more predictive. Its findings show that the operational data generated by PAPs can do more than document the past. It can reveal the patterns behind differences in patient outcomes and help identify challenges and solutions before they emerge.

The opportunity now is to make predictive access standard practice, combining real-world data, advanced analytics, and patient-centered design to build and manage programs that respond to the needs of each patient and market. The next frontier of access is anticipating what patients will need next and acting before barriers stand in their way.

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