We argue that there is an imperative to consider principles of coherence (what to measure), standardization (how to measure) and decision-relevance (why to measure) when designing monitoring schemes if they are to be practical and useful.
For these decisions to be evidence-informed, policymakers need timely access to the best available research evidence in a way that makes it easily retrieved (i.e. using terminology that is intuitive to them) and which allows them to rapidly scan for relevance and decision-relevant information [ 2, 3].
But, as Mrs. Boscola's decision suggests, relevance is not such an easy sell, said Sandy Maisel, a political scientist at Colby College who studies why people do not run.
For the decision, clinical relevance in method comparison should be the main criteria, too.
Fundamental to decision making, relevance judgments and uncertainty reduction seem both closely connected with the quality and quantity of knowledge available for solving a problem as well as with the nature of knowledge processing mechanisms.
They make every effort to keep their golden reputation intact even if it means that by the time he decides, the decision loses relevance and becomes redundant.
Decisions about relevance and quality were recorded, and a small sample of decisions about relevance and quality was reviewed.
Potentially relevant articles were evaluated in detail by two reviewers, independently, with decisions on relevance made after discussion.
Again, the decisions about relevance remain customer-oriented rather than epistemology-oriented and therefore lack a comprehensive epistemic validation.
In most cases there was agreement between the scientific and the political actors on decisions of relevance.
