The Reluctance to Use Cost- Effectiveness Analysis in Regulatory Decision-Making

Use of Cost-Effectiveness Data in Priority Setting Decisions: Experiences from the National Guidelines for Heart Diseases in Sweden

Background The inclusion of cost-effectiveness data, as a basis for priority setting rankings, is a distinguishing feature in the formulation of the Swedish national guidelines. Guidelines are generated with the direct intent to influence health policy and support decisions about the efficient allocation of scarce healthcare resources. Certain medical conditions may be given higher priority ran...

Incorporating Cost-Effectiveness Data in a Fair Process for Priority Setting Efforts; Comment on “Use of Cost-Effectiveness Data in Priority Setting Decisions: Experiences from the National Guidelines for Heart Diseases in Sweden”

Cost-effectiveness data is useful for use in priority setting decisions in order to improve the efficiency of resources used. This paper thereby responds to Eckard et al. which addressed the use of cost-effectiveness data in the actual prioritization decisions in the Swedish national clinical guidelines for heart diseases. Based on a set of experiences on the use of economic evaluation in prior...

Including Both Costs and Effects – The Challenge of Using Cost-Effectiveness Data in National-Level Policy-Making: A Response to Recent Commentaries

Cost Function Modelling for Semi-automated SC, RTG and Automated and Semi-automated RMG Container Yard Operating Systems

This study analyses the concept of cost functions for semi-automated Straddle Carrier (SC), Rubber Tyred Gantry (RTG) and automated Rail Mounted Gantry (RMG) container yard operating cranes. It develops a generic cost based model for a pair-wise comparison, analysis and evaluation of economic efficiency and effectiveness of container yard equipment to be used for decision-making by terminal pla...

Moving Towards Accountability for Reasonableness – A Systematic Exploration of the Features of Legitimate Healthcare Coverage Decision-Making Processes Using Rare Diseases and Regenerative Therapies as a Case Study

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 decisio...