Titlebook: Health Economics from Theory to Practice; Optimally Informing Simon Eckermann Book 2017 Springer International Publishing AG 2017 Cost Eff

LIMN

ns.Principles and methods are illustrated across health prom.This book provides a robust set of health economic principles and methods to inform societal decisions in relation to research, reimbursement and regulation (pricing and monitoring of performance in practice). We provide a theoretical and

Flat-Feet

Venules

贸易

继承人

The Health Shadow Price and Economically Meaningful Threshold Valuesl to all decision making across joint research, reimbursement and regulatory decisions in practice. The health shadow price in doing so addresses research and reimbursement (adoption and displacement) biases against better use of existing technology and towards new technology that underlie many current health-system inefficiencies.

Bridle

hieroglyphic

多产子

Principles and Practice for Trial-Based Health Economic Analysisand illustrated. Principles are introduced considering the decision analytic basis for comparing alternate strategies in defined patient populations and their costs and effects along treatment pathways. Decision analytic principles for robust cost effectiveness analysis are shown to require joint co

palliative-care

Avoiding Frankenstein’s Monster and Partial Analysis Problems: Robustly Synthesising, Translating anmental to allowing unbiased trial-based cost effectiveness analysis for two-strategy comparisons. In this chapter, we extend these principles to identify methods for robust cost effectiveness analysis relevant to decision making in any given jurisdiction of interest (e.g. Australia with a PBAC remit

含水层

The Value of Value of Information Methods to Decision-Making: What VOI Measures Enable Optimising Jol net benefit in Fig. 5.2, what is the expected value of additional information? Given costs of obtaining additional evidence or information, is it worth undertaking further research or not? If it is optimal to undertake further research, how much research is optimal?