ReviewApplied health economics and health policy2023
Review and Assessment of Policy Options for Improving Access to Combination Therapies in Oncology in Europe.
Review in Applied health economics and health policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.
- Pricing Combination Therapies: A Systematic Review of Value Attribution, Cost-Sharing Mechanisms and Policy Frameworks.Applied health economics and health policy · 2026Pooled it
- Collaborating for Affordable Patient Access to Medicines: Review of the First Decade of the Beneluxa Initiative in Pharmaceutical Policy.Applied health economics and health policy · 2026Review
- Pricing combination products: not how but who?The European journal of health economics : HEPAC : health economics in prevention and care · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 6 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesCombinations of on-patent therapies (CTs) are increasingly common in oncology. They cause challenges for funding and affordability, and hence patient access, especially when constituent therapies are owned by different manufacturers. The aim of our study was to develop policy proposals for the assessment, pricing, and funding of CTs and identify which might be relevant in different European countries.
methodsFollowing a review of available literature, seven hypothetical policy proposals were developed and subsequently assessed through 19 semi-structured interviews with health policy, pricing, technology assessment and legal experts in seven European countries to identify those most likely to gain traction.
resultsExperts saw a need for agreed approaches within a country to manage affordability and funding challenges for CTs. Changes to health technology assessment (HTA) and funding models were considered unlikely, but other policy proposals were seen as mostly useful, with country-specific adaptations. Bilateral discussions between manufacturers and payers were deemed important, and less challenging and protracted than arbitrated dialogue between manufacturers. Usage-specific pricing, possibly using weighted average prices, was considered a prerequisite for the financial management of CTs.
conclusionsThere is a growing need to ensure that CTs are affordable to health systems. It would appear that there is no one set of policies that is appropriate for all countries in Europe, so countries wishing to ensure that patients have (or continue to have) access to CTs of value to them must explore and implement the policies that are best suited to their general approach to funding health care and to the assessment and reimbursement of medicines.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.