Schmidt Teresa D, Haddox J David, Nielsen Alexandra E, Wakeland Wayne, Fitzgerald John
Systems Science Graduate Program, Portland State University, Portland, OR, USA.
Health Policy, Purdue Pharma L.P., Stamford, CT, USA.
J Behav Health Serv Res. 2015 Oct;42(4):540-53. doi: 10.1007/s11414-014-9396-9.
Most pharmaceutical opioids are used to treat pain, and they have been demonstrated to be effective medications for many. Their abuse and misuse pose significant public health concerns in the USA. Research has provided much insight into the prevalence, scope, and drivers of opioid abuse, but a holistic understanding is limited by a lack of available data regarding key aspects of this public health problem. Twelve data gaps were revealed during the creation of a systems-level computer model of medical use, diversion, nonmedical use, and the adverse outcomes associated with opioid analgesics in the USA. Data specific to these gaps would enhance the validity and real-world applications of systems-level models of this public health problem and would increase understanding of the complex system in which use and abuse occur. This paper provides an overview of these gaps, argues for the importance of closing them, and provides specific recommendations for future data collection efforts.
大多数药用阿片类药物用于治疗疼痛,并且已被证明对许多人来说是有效的药物。它们的滥用和误用在美国引发了重大的公共卫生问题。研究已经对阿片类药物滥用的流行程度、范围和驱动因素有了很多深入了解,但由于缺乏关于这一公共卫生问题关键方面的可用数据,全面的理解受到了限制。在美国创建一个关于医疗使用、转移、非医疗使用以及与阿片类镇痛药相关的不良后果的系统级计算机模型的过程中,发现了12个数据缺口。针对这些缺口的特定数据将提高这个公共卫生问题系统级模型的有效性和实际应用,并将增进对发生使用和滥用情况的复杂系统的理解。本文概述了这些缺口,论证了填补它们的重要性,并为未来的数据收集工作提供了具体建议。