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Data sources regarding the nonmedical use of pharmaceutical opioids in the United States

机译:有关美国非药物类阿片药物使用的数据来源

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Objective: Recent increases in the nonmedical use of pharmaceutical opioids and the adverse outcomes associated with them have stimulated a large amount of research and data collection on this public health problem. Systematic organization of the available data sources is needed to facilitate ongoing research, analysis, and evaluation. This work offers a systematic categorization of data sources regarding the nonmedical use of pharmaceutical opioids in the United States.Methods: A list of keywords regarding the nonmedical use of pharmaceutical opioids was used to conduct systematic searches in PubMed?. Filtration of search results generated 92 peer-reviewed academic articles, published between January 1995 and April 2012, as well as a number of primary data sources. Lists of topics were developed independently by two researchers which were later compared and consolidated. All sources were then categorized according to their relevance to each of these topics and according to their capacity for geographical and longitudinal trend analysis.Results: Tables cataloging data sources can be used to identify data relevant to specific topics in diversion, nonmedical use, and adverse outcomes associated with pharmaceutical opioids, and they illustrate global trends in data coverage, identifying several topics that have minimal data. A network diagram illustrates global trends in data coverage, showing variation among sources in the number of topics they cover, as well as variation among topics in the number of sources that cover them.Conclusions: The categorization of data sources is hoped to facilitate ongoing research, analysis, and evaluation of this public health problem by serving as a guide for researchers, policy makers, and others who seek data regarding the nonmedical use of pharmaceutical opioids in the United States.
机译:目的:药物类阿片类药物的非医学用途及其与之相关的不良后果的最新发展刺激了关于这一公共卫生问题的大量研究和数据收集。需要对可用数据源进行系统组织以促进正在进行的研究,分析和评估。这项工作为美国非药物类药物阿片类药物的非医学使用提供了数据源的系统分类。方法:在PubMed?中使用了有关非药物类药物阿片类药物的关键字清单进行系统搜索。筛选搜索结果产生了1995年1月至2012年4月之间发表的92篇经同行评审的学术文章,以及许多主要数据来源。主题列表由两名研究人员独立制定,随后进行了比较和合并。然后根据与每个主题的相关性以及对地理和纵向趋势分析的能力对所有来源进行分类。结果:对数据源进行分类的表可用于识别与特定主题相关的数据,这些主题涉及转移,非医学用途和不良事件与药物阿片类药物相关的结果,说明了数据覆盖率的全球趋势,确定了数据最少的几个主题。网络图说明了数据覆盖范围的全球趋势,显示了所涵盖主题的数量在各个来源之间的差异,以及涵盖这些主题的来源在各个主题之间的差异。结论:希望对数据来源​​进行分类有助于进行中的研究通过为研究人员,政策制定者和其他寻求有关美国非阿片类药物非医学用途数据的人提供指导,从而对这一公共卫生问题进行分析,分析和评估。

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