The unexploited potential of data systems tracking medicines utilization : an opportunity to improve access to oncology combination therapies
Simoens, Steven (KU Leuven)
Dodwell, David (University of Oxford)
Hartevelt, Michael (Merck (Rahway, Estats Units d'Amèrica))
Lindgren, Peter (Karolinska Institute (London, Regne Unit))
Pistollato, Michele (Charles River Associates (London, Regne Unit))
Pont, Lisa (University of Technology Sydney)
Pontes García, Caridad (Universitat Autònoma de Barcelona. Departament de Farmacologia, de Terapèutica i de Toxicologia)
Roediger, Alexander (Merck. Global Oncology Policy)
Sablek, Antun (Charles River Associates (Brussels, Bèlgica))
Van Ganse, Eric (Claude Bernard University Lyon 1)
Wang, Qinyi (Charles River Associates (Cambridge, Regne Unit))
Wenger, Chris (Aquantic AG (Zeiningen, Suïssa))
Wilsdon, Tim (Charles River Associates (Cambridge, Regne Unit))
Xoxi, Entela (Catholic University of the Sacred Heart (Roma, Itàlia))
Godman, Brian (Sefako Makgatho Health Sciences University (Pretoria, Sudàfrica))

Fecha:	2025
Resumen:	While progress has been made in oncology treatments, including the introduction of combination therapies, barriers affect patient access. There are approaches that could improve access including combination-specific pricing that allow the price to reflect whether a product is used in monotherapy or in combination. The feasibility of this solution requires data on the utilization of combination therapies. To investigate the ability of data systems across Belgium, England, France, Italy, Spain, Sweden, Switzerland and Australia to track drug utilization of combination therapies, particularly in oncology. A targeted literature review was conducted to investigate the attributes of the key data systems. One-on-one semi-structured interviews were subsequently conducted with country experts to validate the research, who were screened based on their expertise and knowledge of the respective data and reimbursement systems in their countries, followed by an advisory board to align on policy recommendations. Country-specific and cross-border insights were gathered from nine experts across these countries. There are data systems that routinely collect medicine utilization data across seven European countries and Australia. These datasets can potentially be leveraged to track the utilization of combination therapies. Where available, administrative data systems, such as reimbursement claims data, can be leveraged, though other types of systems, such as product registries, may be more suitable in some countries, emphasizing the need to consider country-specific nuances. Using existing data systems is likely to be less resource-intensive than setting up a novel system for this application. While viable sources of data exist in most countries, many need improving to fully harness their tracking potential. There are several common areas where improvement is needed to track combination therapies effectively. These include data quality, access for different stakeholders, minimizing the burden of data entry and management, and increasing support from national authorities to foster multi-stakeholder engagement. While most countries possess data systems that could serve as a foundation for tracking combination oncology therapies, these systems require optimization and proper implementation. Our core recommendation is for policymakers to explore the expansion and enhancement of data infrastructures.
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Oncology combination therapies ; Individual patient-level healthcare data ; Utilization tracking ; Pricing and reimbursement ; Pharmaceutical policy ; Europe ; Australia
Publicado en:	Frontiers in Pharmacology, Vol. 16 (august 2025) , ISSN 1663-9812

DOI: 10.3389/fphar.2025.1532022
PMID: 40910009

17 p, 1.0 MB

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