Expected Value of Information and Synthesis Methods for Research Prioritisation and Study Design

目前，在决定是否采用新疗法用于NHS的方式与决定是否需要对这些疗法进行更多研究的方式之间存在差距。因此，资源可能被浪费在研究永远不太可能具有成本效益的治疗方法上，或者采用如果收集更多证据就不具有成本效益的治疗方法。如果收集了更多的证据，可以计算根据现有证据采取治疗措施的决定最终成为错误决定的可能性，以及这可能意味着多少资源浪费和生活质量损失。这些计算为决定资助哪些研究以及如何最好地设计这些研究提供了一种客观和公平的方法。然而，这些方法很复杂。该项目旨在找到简化计算的方法，以便更广泛地使用它们来帮助研究资助机构委托进行研究，从而帮助NHS的患者做出更好的治疗决定。

At present there is a gap between the way decisions are made about whether to adopt new treatments for use in the NHS, and the way decisions are made about whether more research is needed on these treatments. As a result, resources may be wasted researching treatments that were never likely to be cost-effective, or by adopting treatments which, if more evidence were collected, would not be cost-effective. It is possible to calculate the probability that a decision to adopt a treatment on the basis of current evidence would turn out to be the wrong decision if more evidence was collected, and how much resource waste and loss of quality of life this is likely to represent. These calculations provide an objective and fair method for informing the decision of which studies to fund, and how best to design those studies. The methods are, however, complex. This project aims to find ways of making the calculations easier so that they can be used more widely to help research funding bodies commission research that will help make better treatment decisions for patients in the NHS.