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A SCENARIO-BASED APPROACH TO THE IMPROVEMENT OF HEALTHCARE DELIVERY TO STROKE PATIENTS IN THE COMMUNITY

机译:一种基于情景的方法,以改善社区中风患者的医疗保健递送

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The objective of this study is to outline a Markov chain model to help to understand, assess and investigate the potentials for improving community-based care delivery processes for stroke patients in the immediate post-discharge period. By using this model, we assess the current system due to the total workload for each health care institution, the expected cost per patient and define the critical paths due to the mortality percentages. We also explore hypothetical scenarios under these quality criteria. Discussion of hypothetical scenarios provides evidence that the model is an effective tool to assess the suggested improvements in the system and investigate potential changes. This approach would therefore seem to be useful in studying the patient paths in the community for any chronic illness.
机译:本研究的目的是概述马尔可夫链模型,以帮助理解,评估和调查改善卒中患者的群体护理程序的潜力在后排放后期。 通过使用此模型,我们根据每个医疗机构的总工作量评估当前系统,每位患者的预期成本并定义由于死亡率百分比而定义关键路径。 我们还在这些质量标准下探索假设情景。 假设场景的讨论提供了证据表明该模型是评估系统建议改进的有效工具,并调查潜在变化。 因此,这种方法似乎有助于研究患有任何慢性疾病的社区中的患者路径。

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