Data Needs in Opioid Systems Modeling: Challenges and Future Directions.
Data Needs in Opioid Systems Modeling: Challenges and Future Directions.
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阿片类药物系统建模中的数据需求：挑战和未来方向。
DOI：
10.1016/j.amepre.2020.08.017
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发表时间：
2021-03
影响因子：
5.5
通讯作者：
Kazemi-Tabriz R
中科院分区：
文献类型：
--
作者：
Jalali MS;Ewing E;Bannister CB;Glos L;Eggers S;Lim TY;Stringfellow E;Stafford CA;Pacula RL;Jalal H;Kazemi-Tabriz R
阿片类药物危机是美国普遍存在的公共卫生威胁，使用集成系统视角的模拟建模方法来理解这一危机的复杂性，并分析哪些政策干预措施可以最好地解决这一问题。然而，现有数据来源的限制可能妨碍这些模型的量化。为了了解和讨论阿片类药物系统建模的数据需求和挑战，2019年4月在美国食品和药物管理局举行了一次由联邦合作伙伴、建模团队和数据专家参加的会议。本文综合了会议的讨论，并在正在进行的仿真建模工作的背景下进行了解释。确定了阿片类药物系统建模中潜在用途的国家级定量数据源的现状，并讨论了数据源中的重大问题。关于如何改进数据源的主要建议是：保持建模团队之间的密切合作，加强数据收集以更好地满足建模需求，专注于弥合最关键的信息差距，在建模者和数据专家之间进行直接和定期的互动，并更清楚地定义决策者的研究问题和政策目标。本文为识别和讨论阿片类药物研究中的数据挑战以及具体的阿片类药物系统建模提供了重要的一步。它还为系统建模者和政府机构确定了改进阿片类药物系统模型的机会。
The opioid crisis is a pervasive public health threat in the U.S. Simulation modeling approaches that integrate a systems perspective are used to understand the complexity of this crisis and analyze what policy interventions can best address it. However, limitations in currently available data sources can hamper the quantification of these models. To understand and discuss data needs and challenges for opioid systems modeling, a meeting of federal partners, modeling teams, and data experts was held at the U.S. Food and Drug Administration in April 2019. This paper synthesizes the meeting discussions and interprets them in the context of ongoing simulation modeling work. The current landscape of national-level quantitative data sources of potential use in opioid systems modeling is identified, and significant issues within data sources are discussed. Major recommendations on how to improve data sources are to: maintain close collaboration among modeling teams, enhance data collection to better fit modeling needs, focus on bridging the most crucial information gaps, engage in direct and regular interaction between modelers and data experts, and gain a clearer definition of policymakers’ research questions and policy goals. This article provides an important step in identifying and discussing data challenges in opioid research generally and opioid systems modeling specifically. It also identifies opportunities for systems modelers and government agencies to improve opioid systems models.
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DOI：
10.1016/j.drugpo.2020.102726
发表时间：
2021-03
期刊：
The International journal on drug policy
影响因子：
--
作者：
OUD Modeling writing group
通讯作者：
OUD Modeling writing group
DOI：
10.1177/0272989x17700624
发表时间：
2018-04
期刊：
Medical decision making : an international journal of the Society for Medical Decision Making
影响因子：
--
作者：
Mandelblatt JS;Near AM;Miglioretti DL;Munoz D;Sprague BL;Trentham-Dietz A;Gangnon R;Kurian AW;Weedon-Fekjaer H;Cronin KA;Plevritis SK
通讯作者：
Plevritis SK
影响因子：
4.5
作者：
Grefenstette JJ;Brown ST;Rosenfeld R;DePasse J;Stone NT;Cooley PC;Wheaton WD;Fyshe A;Galloway DD;Sriram A;Guclu H;Abraham T;Burke DS
通讯作者：
Burke DS
影响因子：
3.3
作者：
Saloner, Brendan;McGinty, Emma E.;Sherman, Susan G.
通讯作者：
Sherman, Susan G.
影响因子：
2
作者：
Dayer, Lindsey E.;Painter, Jacob T.;Foster, Howell R.
通讯作者：
Foster, Howell R.