Incremental cost per quality-adjusted life year gained? The need for alternative methods to evaluate medical interventions for ultra-rare disorders
Drugs for ultra-rare disorders (URDs) rank prominently among the most expensive medicines on a cost-per-patient basis. Many of them do not meet conventional standards for cost–effectiveness. In light of the high fixed cost of R&D, this challenge is inversely related to the prevalence of URDs. The present paper sets out to explain the rationale underlying a recent expert consensus on these issues, recommending a more rigorous assessment of the clinical effectiveness of URDs, applying established standards of evidence-based medicine. This may include conditional approval and reimbursement po... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2014 |
Schlagwörter: | Netherlands / Health Policy |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-29181213 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://www.openaccessrepository.it/record/117055 |
Drugs for ultra-rare disorders (URDs) rank prominently among the most expensive medicines on a cost-per-patient basis. Many of them do not meet conventional standards for cost–effectiveness. In light of the high fixed cost of R&D, this challenge is inversely related to the prevalence of URDs. The present paper sets out to explain the rationale underlying a recent expert consensus on these issues, recommending a more rigorous assessment of the clinical effectiveness of URDs, applying established standards of evidence-based medicine. This may include conditional approval and reimbursement policies, which should be combined with a firm expectation of proof of a minimum significant clinical benefit within a reasonable time. In contrast, current health economic evaluation paradigms fail to adequately reflect normative and empirical concerns (i.e., morally defensible 'social preferences') regarding healthcare resource allocation. Hence there is a strong need for alternative economic evaluation models for URDs.