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System Design of an Analytical Model for Health Self-Care Based on System Dynamics: Implementation and Case Study in Obesity.

机译:基于系统动力学的健康自理分析模型的系统设计:肥胖症的实现与案例研究。

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摘要

The initial idea for this research effort was inspired more than 4 years ago, while working to improve the Emergency Department in a local hospital. On one hand, there was the notable struggle by the medical personnel not only to cope with an unimaginable number of technical and personnel problems, but also to maintain a high standard of care. And of most significance, there was the confusion at all levels of government when called to answer the repetitive questions of "How can we change the system?" and "What can be done to save the system from collapsing?".;One potential way of easing the demand and cost is to partially shift the responsibility for healthcare to patients themselves. To do so effectively, some health management tools are required. This dissertation deals with the systematic development of a modeling tool that will track, monitor and eventually enable the development of strategies on an individual level related to body weight maintenance, loss and/or gain.;Out of all the lifestyle related diseases, this work focuses on an increasingly wide spread preventable condition termed "obesity". Despite a multitude of studies related to obesity, neither thorough understanding nor comprehensive models have been developed.;A systematic approach based on Quality Function Deployment (QFD), allows for the development of appropriate modelling characteristics to assure quality in the outcomes, when used to manage individual's health status. Using System Dynamics (SD) and existing fractional models, a comprehensive causal model for obesity/weight was developed. This required an understanding of the relationships among the fractional models in order to add links and feedback loops that can simulate the human body responses with certain accuracy.;The model is verified by using the real life data provided by a clinic specializing in weight management and obesity control. Based on the data, sensitivity analysis was performed, as well as a variety of scenario analyses.;Assuming that certain conditions are met, the model developed through this work can predict weight changes using energy balance information as well as an individual's characteristics with an accuracy greater than 90%.
机译:这项研究工作的最初构想是在4年前提出的,当时他正在努力改善当地医院的急诊科。一方面,医务人员不仅为应对数量众多的技术和人员问题,而且为维持高水平的护理而进行了显着的斗争。最重要的是,当被要求回答“我们如何改变系统”的重复性问题时,各级政府都感到困惑。和“如何做才能使系统免于崩溃?”;减轻需求和成本的一种潜在方法是将医疗保健责任部分转移给患者自己。为了有效地做到这一点,需要一些健康管理工具。本文涉及建模工具的系统开发,该模型工具将跟踪,监视并最终实现与体重维持,损失和/或增加有关的个人策略的开发。在所有与生活方式有关的疾病中,这项工作专注于被称为“肥胖症”的日益广泛的可预防疾病。尽管有许多与肥胖有关的研究,但尚未开发出透彻的理解或全面的模型。基于质量功能部署(QFD)的系统方法允许开发适当的建模特征以确保结果质量,管理个人的健康状况。使用系统动力学(SD)和现有的分数模型,开发了肥胖/体重的综合因果模型。这就需要了解分数模型之间的关系,以便添加链接和反馈回路,从而可以以一定的精度模拟人体反应。;该模型是通过使用由专门从事体重管理的诊所提供的真实数据来验证的肥胖控制。基于这些数据,进行了敏感性分析以及各种情景分析。假设满足某些条件,则通过这项工作开发的模型可以利用能量平衡信息以及个人特征准确地预测体重的变化。大于90%。

著录项

  • 作者

    Bacioiu, Gheorghe M.;

  • 作者单位

    University of Windsor (Canada).;

  • 授予单位 University of Windsor (Canada).;
  • 学科 Engineering Industrial.;Health Sciences Health Care Management.;Engineering System Science.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 231 p.
  • 总页数 231
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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