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Developing and evaluating interventions to reduce inappropriate prescribing by general practitioners of antibiotics for upper respiratory tract infections: A randomised controlled trial to compare paper-based and web-based modelling experiments

机译:制定和评估干预措施以减少普通科医生对上呼吸道感染开具抗生素的不当处方:一项随机对照试验比较基于纸质和基于网络的建模实验

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摘要

BackgroundMuch implementation research is focused on full-scale trials with little evidence of preceding modelling work. The Medical Research Council Framework for developing and evaluating complex interventions has argued for more and better theoretical and exploratory work prior to a trial as a means of improving intervention development. Intervention modelling experiments (IMEs) are a way of exploring and refining an intervention before moving to a full-scale trial. They do this by delivering key elements of the intervention in a simulation that approximates clinical practice by, for example, presenting general practitioners (GPs) with a clinical scenario about making a treatment decision.
机译:背景许多实施研究都集中在全面的试验上,很少有先前建模工作的证据。医学研究理事会用于开发和评估复杂干预措施的框架主张在试验之前进行更多更好的理论和探索性工作,以改善干预措施的开发。干预模型实验(IME)是在进行全面试验之前探索和完善干预措施的一种方法。他们通过在类似于临床实践的模拟中提供干预的关键要素来做到这一点,例如,向全科医生(GPs)提供有关制定治疗决策的临床方案。

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