scholarly journals Evaluating Canadians’ Values for Drug Coverage Decision Making

2019 ◽  
Vol 22 (3) ◽  
pp. 362-369 ◽  
Author(s):  
Shirin Rizzardo ◽  
Nick Bansback ◽  
Nick Dragojlovic ◽  
Conor Douglas ◽  
Kathy H. Li ◽  
...  
2020 ◽  
Vol 39 (1) ◽  
pp. 109-119
Author(s):  
Linda Yamoah ◽  
Nick Dragojlovic ◽  
Alesha Smith ◽  
Larry D. Lynd ◽  
Carlo A. Marra

2015 ◽  
Vol 18 (4) ◽  
pp. 265-271 ◽  
Author(s):  
Hialy Gutierrez ◽  
Ashwini Shewade ◽  
Minghan Dai ◽  
Pedro Mendoza-Arana ◽  
Octavio Gómez-Dantés ◽  
...  

2018 ◽  
Vol 34 (S1) ◽  
pp. 125-125
Author(s):  
Monika Wagner ◽  
Dima Samaha ◽  
Roman Casciano ◽  
Matthew Brougham ◽  
Charles Petrie ◽  
...  

Introduction:The Accountability for Reasonableness (A4R) framework addresses the legitimacy of coverage decision processes by defining four conditions for accountable and reasonable processes: Relevance, Publicity, Appeals, Implementation. Cost-per-quality-adjusted life year (QALY) and multicriteria-centered processes may have distinct implications for meeting A4R conditions. 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 legitimized decision-making. Rare disease and regenerative therapies (RDRTs) pose special decision-making challenges and offer a useful case study.Methods:To support reflection on how different approaches address the A4R conditions, thirty-four features operationalizing each condition were defined and organized into a matrix. Seven experts from six countries explored and discussed these features during a panel (Chatham House Rule) and provided general and RDRT-specific recommendations for each feature. Responses were analyzed to identify converging and diverging recommendations.Results:Regarding Relevance, panelists highlighted the importance of supporting deliberation, stakeholder participation and grounding coverage decision criteria in the legal framework, goals of sustainable healthcare and population values. Among seventeen criteria, thirteen were recommended by more than half of panelists. Although the cost-effectiveness ratio was deemed sometimes useful, the validity of universal thresholds to inform allocative efficiency was challenged. Regarding Publicity, panelists recommended communicating the values underlying a decision in reference to broader societal objectives, and being transparent about value judgements in selecting evidence. For Appeals, recommendations included clear definition of new evidence and revision rules. For Implementation, one recommendation was to perform external quality reviews of decisions. While RDRTs raise issues that may warrant special consideration, rarity should be considered in interaction with other aspects (e.g. disease severity, age, budget impact).Conclusions:Improving coverage decision-making towards accountability and reasonableness involves supporting participation and deliberation, enhancing transparency, and more explicit consideration of multiple decision criteria that reflect normative and societal objectives.


Health Policy ◽  
2015 ◽  
Vol 119 (5) ◽  
pp. 588-596 ◽  
Author(s):  
Conor M.W. Douglas ◽  
Elizabeth Wilcox ◽  
Michael Burgess ◽  
Larry D. Lynd

2014 ◽  
Vol 15 (9) ◽  
pp. 899-906 ◽  
Author(s):  
Katharina Elisabeth Fischer ◽  
Reiner Leidl

1997 ◽  
Vol 13 (2) ◽  
pp. 287-332 ◽  
Author(s):  
Richard Cranovsky ◽  
Yves Matillon ◽  
David Banta

The issue of health benefits coverage—and its relation to health technology assessment (HTA)—has gained increasing attention in recent years. Economic constraints on health care, as well as the rapid pace of technological change, have forced European countries to face difficult choices in providing such care. The active use of coverage decision making has been proposed as a tool to help rationalize health care, and HTA has been advocated as a necessary activity to improve coverage decisions.


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.


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