School of Nursing, College of Health and Human Services,University of North Carolina at Charlotte, 9201 University City Blvd., CHHS 444C, Charlotte, NC 28223, USA.
Center for Alcohol and Addiction Studies, Brown School of Public Health, Department of Psychiatry, University of California, San Francisco, CA 94121, USA.
J Public Health (Oxf). 2017 Dec 1;39(4):763-776. doi: 10.1093/pubmed/fdx020.
The use of social media (SM) as a surveillance tool of global illicit drug use is limited. To address this limitation, a systematic review of literature focused on the ability of SM to better recognize illicit drug use trends was addressed.
A search was conducted in databases: PubMed, CINAHL via Ebsco, PsychINFO via Ebsco, Medline via Ebsco, ERIC, Cochrane Library, Science Direct, ABI/INFORM Complete and Communication and Mass Media Complete. Included studies were original research published in peer-reviewed journals between January 2005 and June 2015 that primarily focused on collecting data from SM platforms to track trends in illicit drug use. Excluded were studies focused on purchasing prescription drugs from illicit online pharmacies.
Selected studies used a range of SM tools/applications, including message boards, Twitter and blog/forums/platform discussions. Limitations included relevance, a lack of standardized surveillance systems and a lack of efficient algorithms to isolate relevant items.
Illicit drug use is a worldwide problem, and the rise of global social networking sites has led to the evolution of a readily accessible surveillance tool. Systematic approaches need to be developed to efficiently extract and analyze illicit drug content from social networks to supplement effective prevention programs.
社交媒体(SM)作为全球非法药物使用监测工具的应用有限。为了克服这一局限性,我们对专注于利用社交媒体更好地识别非法药物使用趋势的文献进行了系统综述。
在数据库中进行了检索:PubMed、CINAHL via Ebsco、PsychINFO via Ebsco、Medline via Ebsco、ERIC、Cochrane Library、Science Direct、ABI/INFORM Complete 和 Communication and Mass Media Complete。纳入的研究是 2005 年 1 月至 2015 年 6 月期间发表在同行评议期刊上的原始研究,主要侧重于从社交媒体平台收集数据以跟踪非法药物使用趋势。排除了专注于从非法在线药店购买处方药物的研究。
选定的研究使用了一系列社交媒体工具/应用程序,包括留言板、Twitter 和博客/论坛/平台讨论。局限性包括相关性、缺乏标准化的监测系统以及缺乏有效算法来分离相关项目。
非法药物使用是一个全球性问题,全球社交网络的兴起催生了一种易于获取的监测工具。需要开发系统方法,从社交网络中高效提取和分析非法药物内容,以补充有效的预防计划。