EUROPEAN DRUG REIMBURSEMENT SYSTEMS' LEGITIMACY: FIVE-COUNTRY COMPARISON AND POLICY TOOL

2012 ◽  
Vol 28 (4) ◽  
pp. 358-366 ◽  
Author(s):  
Irina Cleemput ◽  
Margreet Franken ◽  
Marc Koopmanschap ◽  
Maïté le Polain

Objectives. In a democratic system, decision makers are accountable for the reasonableness of their decisions. This presumes (i) transparency, (ii) relevance of the decision criteria, (iii) revisability of decisions, and (iv) enforcement/regulation. We aim to (i) evaluate the extent to which drug reimbursement decision-making processes in different contexts meet these conditions and (ii) develop, starting from these findings, a framework for improving the transparency and the relevance of used decision criteria.Methods. We evaluated the Austrian, Belgian, French, Dutch, and Swedish drug reimbursement systems. Based on this evaluation, we developed a framework for improving the transparency of drug reimbursement decision-making processes. It makes explicit the questions often addressed implicitly during decision-making processes as well as criteria for answering each question.Results. Transparency of appraisal processes varies across systems. Justification with explicit criteria is generally limited. Although relevant criteria are similar across systems, their operationalization varies and their role in the appraisal process is not always clear. All systems seem to implicitly address five key questions, relating to (i) the medical, therapeutic, and societal need for treatment; (ii) preparedness to pay for treating the condition as a principle and (iii) for using the treatment under consideration; (iv) preparedness to pay more compared with alternatives; and (v) actual willingness to pay from public resources.Conclusions. Transparency of the appraisal process can be improved by using an explicit decision framework. Systematic use of such a framework enhances consistency across decisions, allows justification of value judgments, and thus enhances legitimacy of societal decision making.

2014 ◽  
Vol 17 (1) ◽  
pp. 98-108 ◽  
Author(s):  
Lianne Barnieh ◽  
Braden Manns ◽  
Anthony Harris ◽  
Marja Blom ◽  
Cam Donaldson ◽  
...  

2012 ◽  
Vol 15 (1) ◽  
pp. S120-S125 ◽  
Author(s):  
Surachat Ngorsuraches ◽  
Wei Meng ◽  
Bo-Yeon Kim ◽  
Vithaya Kulsomboon

2013 ◽  
Vol 31 (9) ◽  
pp. 781-797 ◽  
Author(s):  
Margreet Franken ◽  
Fredrik Nilsson ◽  
Frank Sandmann ◽  
Anthonius de Boer ◽  
Marc Koopmanschap

2019 ◽  
Vol 8 (7) ◽  
pp. 424-443 ◽  
Author(s):  
Monika Wagner ◽  
Dima Samaha ◽  
Roman Casciano ◽  
Matthew Brougham ◽  
Payam Abrishami ◽  
...  

Background: The accountability for reasonableness (A4R) framework defines 4 conditions for legitimate healthcare coverage decision processes: Relevance, Publicity, Appeals, and Enforcement. The aim of this study was to reflect on how the diverse features of decision-making processes can be aligned with A4R conditions to guide decision-making towards legitimacy. Rare disease and regenerative therapies (RDRTs) pose special decision-making challenges and offer therefore a useful case study. Methods: Features operationalizing each A4R condition as well as three different approaches to address these features (cost-per-QALY-focused and multicriteria-based) were defined and organized into a matrix. Seven experts explored these features during a panel run under the Chatham House Rule and provided general and RDRT-specific recommendations. Responses were analyzed to identify converging and diverging recommendations. Results: Regarding Relevance, recommendations included supporting deliberation, stakeholder participation and grounding coverage decision criteria in normative and societal objectives. Thirteen of 17 proposed decision criteria were recommended by a majority of panelists. The usefulness of universal cost-effectiveness thresholds to inform allocative efficiency was challenged, particularly in the RDRT context. RDRTs raise specific issues that need to be considered; however, rarity should be viewed in relation to other aspects, such as disease severity and budget impact. Regarding Publicity, panelists recommended transparency about the values underlying a decision and value judgements used in selecting evidence. For Appeals, recommendations included a life-cycle approach with clear provisions for re-evaluations. For Enforcement, external quality reviews of decisions were recommended. Conclusion: Moving coverage decision-making processes towards enhanced legitimacy in general and in the RDRT context involves designing and refining approaches to support participation and deliberation, enhancing transparency, and allowing explicit consideration of multiple decision criteria that reflect normative and societal objectives.


2021 ◽  
Vol 9 ◽  
Author(s):  
Pierfrancesco Biasetti ◽  
Barbara de Mori

Decision making-process in conservation can be very complex, having to deal with various value dimensions and potential conflicts. In fact, conflicts and competing interests between stakeholders are among the most quoted reasons for failure of projects. Ethical analysis can be helpful in this regard. In this paper we present a revision of the Ethical Matrix specifically tailored to decision-making processes in conservation. The Ethical Matrix is a conceptual tool devised to help decision-makers by supplying them with a framework of the ethically relevant aspects involved in decision-making process. It was originally developed for the ethical assessment of agri-food biotechnologies and later has been applied to other fields. The revised version we propose here has been designed for the ethical analysis of conservation priority-setting and impact. As conservation can raise many ethical relevant controversies, conceptual tools like the one presented here can be of help for conservationists, providing a map of the value demands involved. This map can be used to question the reasonableness of the value judgments, estimate the impact of different courses of actions, anticipate conflicts, and rank their severeness.


2014 ◽  
Vol 17 (3) ◽  
pp. A10-A11
Author(s):  
P.A. Dionne ◽  
S. Weicker ◽  
V Remple ◽  
T. Tran

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