1Portland State University, Portland, OR, USA.
Health Educ Behav. 2013 Oct;40(1 Suppl):74S-86S. doi: 10.1177/1090198113492767.
Three educational interventions were simulated in a system dynamics model of the medical use, trafficking, and nonmedical use of pharmaceutical opioids. The study relied on secondary data obtained in the literature for the period of 1995 to 2008 as well as expert panel recommendations regarding model parameters and structure. The behavior of the resulting systems-level model was tested for fit against reference behavior data. After the base model was tested, logic to represent three educational interventions was added and the impact of each intervention on simulated overdose deaths was evaluated over a 7-year evaluation period, 2008 to 2015. Principal findings were that a prescriber education intervention not only reduced total overdose deaths in the model but also reduced the total number of persons who receive opioid analgesic therapy, medical user education not only reduced overdose deaths among medical users but also resulted in increased deaths from nonmedical use, and a "popularity" intervention sharply reduced overdose deaths among nonmedical users while having no effect on medical use. System dynamics modeling shows promise for evaluating potential interventions to ameliorate the adverse outcomes associated with the complex system surrounding the use of opioid analgesics to treat pain.
在一个医药用、贩运和非医药用药物阿片类药物的系统动力学模型中,模拟了三种教育干预措施。该研究依赖于 1995 年至 2008 年文献中获得的二手数据以及关于模型参数和结构的专家小组建议。根据参考行为数据,对所产生的系统级模型的行为进行了拟合测试。在测试了基础模型之后,添加了表示三种教育干预措施的逻辑,并评估了每种干预措施对模拟过量死亡人数的影响,评估期为 2008 年至 2015 年的 7 年。主要发现是,处方医生教育干预不仅减少了模型中的总过量死亡人数,而且还减少了接受阿片类镇痛药治疗的总人数;医疗使用者教育不仅减少了医疗使用者的过量死亡人数,而且导致了非医疗使用的死亡人数增加;“普及”干预措施大幅减少了非医疗使用者的过量死亡人数,而对医疗使用没有影响。系统动力学模型为评估潜在干预措施提供了希望,这些措施可以改善与使用阿片类药物治疗疼痛相关的复杂系统的不良后果。