cost-effectiveness analysis (cea) can help countries attain and sustain universal health coverage (uhc), as long as it is context-specific and considered within deliberative processes at the country level. institutionalising robust deliberative processes requires significant time and resources, however, and countries often begin by demanding evidence (including local cea evidence as well as evi...

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...

background: helicobacter pylori may cause many gastrointestinal problems in developing countries such as iran. we aimed to analyze the cost- effectiveness and cost- utility of the test-and-treat and empirical treatment strategies in managing helicobacter pylori infection.            methods: this was a markov based economic evaluation. effectiveness was defined as the symptoms free numbers and ...

We develop a theoretical framework that explains the use of amplitude modulation AFM to measure and identify energy dissipation processes at the nanoscale. The variation of the dissipated energy on a surface by a vibrating tip as a function of its amplitude has a shape that singles out the dissipative process. The method is illustrated by calculating the dynamic-dissipation curves for surface a...

This tutorial provides a step-by-step guide to performing cost-effectiveness analysis using a multi-state modeling approach. Alongside the tutorial, we provide easy-to-use functions in the statistics package R. We argue that this multi-state modeling approach using a package such as R has advantages over approaches where models are built in a spreadsheet package. In particular, using a syntax-b...