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Implementation by simulation; strategies for ultrasound screening for hip dysplasia in the Netherlands

机译:通过仿真实现;荷兰进行超声检查筛查髋关节发育不良的策略

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In cost effectiveness studies variables associated with organization and available capacity may affect the overall results. The influence of the variation of these variables on the cost effectiveness can be evaluated by computer simulation following a carefully designed experimental design. This combination provides a means to examine a full range of possible scenarios. This was done to calculate the cost-effectiveness for the implementation of a new screening strategy for detecting developmental dysplasia of the hip (DDH). First current workflow and performance is analyzed. Then, important output factors are identified and alternative scenarios are determined with the use of experimental variables with according levels. For the determination of the levels literature and interviews among stakeholders are used. The 4 experimental variables are the location of the consult, integrated with regular consult or not, the number of US machines and the discipline of the screener. In total 72 possible scenarios are identified. 'Possible' means that they can be evaluated with the simulation model. In our model the experimental variables related to the number of US machines in combination with an extra consult is influencing the cost effectiveness the most. The combination of a simulation model and an experimental design greatly enhance cost effectiveness studies where organizational and capacity variables are important. Relevant information to determine the levels of experimental variables can be extracted from the literature and directly from experts. Using an experimental design a priori exploration of how variables affect the outcome is possible and as a result different strategies for implementation can be explored.
机译:在成本效益研究中,与组织和可用能力相关的变量可能会影响总体结果。在精心设计的实验设计之后,可以通过计算机模拟来评估这些变量的变化对成本效益的影响。这种组合提供了一种检查所有可能情况的方法。这样做是为了计算实施新的筛查策略以检测髋部发育不良(DDH)的成本效益。首先分析当前的工作流程和性能。然后,确定重要的输出因子,并根据水平使用实验变量确定替代方案。为了确定水平,使用了利益相关者之间的文献和访谈。这4个实验变量是咨询的位置,是否与常规咨询集成,美国机器的数量和筛选器的规程。总共确定了72种可能的方案。 “可能”表示可以使用仿真模型对其进行评估。在我们的模型中,与美国机器数量相关的实验变量与额外的咨询一起对成本效益的影响最大。仿真模型和实验设计的结合极大地提高了成本效益研究,而组织和能力变量很重要。确定实验变量水平的相关信息可从文献中或直接从专家中提取。使用实验设计,可以对变量如何影响结果进行先验探索,因此可以探索不同的实施策略。

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