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System Dynamics Modeling of Medical Use, Nonmedical Use and Diversion of Prescription Opioid Analgesics

机译:医疗用途,非医疗用途和处方阿片类镇痛药转移的系统动力学建模

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The objective of the study was to develop a system dynamics model of the medical use of pharmaceutical opioids to treat pain, and the associated diversion and nonmedical use of these drugs. The model was used to test the impact of simulated interventions in this complex system. The study relied on secondary data obtained from the literature and from other public sources for the period 1995 to 2008. In addition, an expert panel provided recommendations regarding model parameters and model structure. The behavior of the resulting systems level model compared favorably with reference behavior data (R~2 =.95). After the base model was tested, logic to simulate the interventions was added and the impact on overdose deaths was evaluated over a seven-year period, 2008-2015. Principal findings were that a prescriber education intervention reduced total overdose deaths, while reducing the number of persons treated with opioid analgesics. A "popularity" intervention sharply reduced nonmedical overdoses. We conclude that the system dynamics modeling approach shows promise for evaluating potential policy interventions to ameliorate the adverse outcomes associated with the complex system surrounding the use of opioid analgesics to treat pain.
机译:这项研究的目的是开发一种药物动力学的阿片类药物在医学上用于治疗疼痛的系统动力学模型,以及这些药物的相关转移和非医学用途。该模型用于测试模拟干预在此复杂系统中的影响。该研究依赖于从文献和其他公共资源获得的1995年至2008年的二手数据。此外,一个专家小组提供了有关模型参数和模型结构的建议。得到的系统级模型的行为与参考行为数据相比具有优势(R〜2 = .95)。在测试基本模型后,添加了模拟干预措施的逻辑,并评估了2008-2015年这7年期间对过量死亡的影响。主要发现是,处方药干预减少了过量用药的总死亡人数,同时减少了接受阿片类镇痛药治疗的人数。 “大众化”干预措施大大减少了非医学用药过量。我们得出结论,系统动力学建模方法显示出有望评估潜在的政策干预措施,以改善与使用阿片类镇痛药治疗疼痛的复杂系统相关的不良后果。

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