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利用社交倾听数据监测安非他酮的滥用和非医疗用途:一项内容分析。

Using Social Listening Data to Monitor Misuse and Nonmedical Use of Bupropion: A Content Analysis.

作者信息

Anderson Laurie S, Bell Heidi G, Gilbert Michael, Davidson Julie E, Winter Christina, Barratt Monica J, Win Beta, Painter Jeffery L, Menone Christopher, Sayegh Jonathan, Dasgupta Nabarun

机构信息

GlaxoSmithKlineResearch Triangle Park, NCUnited States.

Gyra MediPharm ConsultingResearch Triangle Park, NCUnited States.

出版信息

JMIR Public Health Surveill. 2017 Feb 1;3(1):e6. doi: 10.2196/publichealth.6174.

DOI:10.2196/publichealth.6174
PMID:28148472
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5311422/
Abstract

BACKGROUND

The nonmedical use of pharmaceutical products has become a significant public health concern. Traditionally, the evaluation of nonmedical use has focused on controlled substances with addiction risk. Currently, there is no effective means of evaluating the nonmedical use of noncontrolled antidepressants.

OBJECTIVE

Social listening, in the context of public health sometimes called infodemiology or infoveillance, is the process of identifying and assessing what is being said about a company, product, brand, or individual, within forms of electronic interactive media. The objectives of this study were (1) to determine whether content analysis of social listening data could be utilized to identify posts discussing potential misuse or nonmedical use of bupropion and two comparators, amitriptyline and venlafaxine, and (2) to describe and characterize these posts.

METHODS

Social listening was performed on all publicly available posts cumulative through July 29, 2015, from two harm-reduction Web forums, Bluelight and Opiophile, which mentioned the study drugs. The acquired data were stripped of personally identifiable identification (PII). A set of generic, brand, and vernacular product names was used to identify product references in posts. Posts were obtained using natural language processing tools to identify vernacular references to drug misuse-related Preferred Terms from the English Medical Dictionary for Regulatory Activities (MedDRA) version 18 terminology. Posts were reviewed manually by coders, who extracted relevant details.

RESULTS

A total of 7756 references to at least one of the study antidepressants were identified within posts gathered for this study. Of these posts, 668 (8.61%, 668/7756) referenced misuse or nonmedical use of the drug, with bupropion accounting for 438 (65.6%, 438/668). Of the 668 posts, nonmedical use was discouraged by 40.6% (178/438), 22% (22/100), and 18.5% (24/130) and encouraged by 12.3% (54/438), 10% (10/100), and 10.8% (14/130) for bupropion, amitriptyline, and venlafaxine, respectively. The most commonly reported desired effects were similar to stimulants with bupropion, sedatives with amitriptyline, and dissociatives with venlafaxine. The nasal route of administration was most frequently reported for bupropion, whereas the oral route was most frequently reported for amitriptyline and venlafaxine. Bupropion and venlafaxine were most commonly procured from health care providers, whereas amitriptyline was most commonly obtained or stolen from a third party. The Fleiss kappa for interrater agreement among 20 items with 7 categorical response options evaluated by all 11 raters was 0.448 (95% CI 0.421-0.457).

CONCLUSIONS

Social listening, conducted in collaboration with harm-reduction Web forums, offers a valuable new data source that can be used for monitoring nonmedical use of antidepressants. Additional work on the capabilities of social listening will help further delineate the benefits and limitations of this rapidly evolving data source.

摘要

背景

药品的非医疗用途已成为一个重大的公共卫生问题。传统上,对非医疗用途的评估主要集中在具有成瘾风险的管制药品上。目前,尚无评估非管制抗抑郁药非医疗用途的有效方法。

目的

社会倾听,在公共卫生背景下有时也称为信息流行病学或信息监测,是指在电子互动媒体形式中识别和评估关于一家公司、产品、品牌或个人的言论的过程。本研究的目的是:(1)确定社会倾听数据的内容分析是否可用于识别讨论安非他酮以及两种对照药物阿米替林和文拉法辛潜在滥用或非医疗用途的帖子;(2)描述并刻画这些帖子的特征。

方法

对两个减少伤害网络论坛(“蓝光”和“亲阿片者”)截至2015年7月29日累积的所有公开帖子进行社会倾听,这些帖子提及了研究药物。获取的数据去除了个人身份识别信息(PII)。使用一组通用名、品牌名和俗称来识别帖子中提及的产品。使用自然语言处理工具获取帖子,以识别来自《监管活动用英语医学词典》(MedDRA)第18版术语中与药物滥用相关的首选术语的俗称。编码人员对帖子进行人工审核,并提取相关细节。

结果

在为本研究收集的帖子中,共识别出7756次提及至少一种研究用抗抑郁药的情况。在这些帖子中,668条(8.61%,668/7756)提及了药物的滥用或非医疗用途,其中安非他酮占438条(65.6%,438/668)。在这668条帖子中,分别有40.6%(178/438)、22%(22/100)和18.5%(24/130)的帖子不鼓励安非他酮、阿米替林和文拉法辛的非医疗用途,而鼓励的比例分别为12.3%(54/438)、10%(10/100)和10.8%(14/130)。最常报告的预期效果中,安非他酮类似兴奋剂,阿米替林类似镇静剂,文拉法辛类似解离剂。安非他酮最常报告的给药途径是经鼻给药,而阿米替林和文拉法辛最常报告的给药途径是口服给药。安非他酮和文拉法辛最常从医疗保健提供者处获得,而阿米替林最常从第三方处获取或被盗取。11名评分者对20个项目、7种分类反应选项进行评分的评分者间一致性的Fleiss κ系数为0.448(95%CI 0.421 - 0.457)。

结论

与减少伤害网络论坛合作进行的社会倾听提供了一个有价值的新数据源,可用于监测抗抑郁药的非医疗用途。关于社会倾听能力的更多研究将有助于进一步阐明这种快速发展的数据源的益处和局限性。

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3
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Cannabis. 2023 Jul 5;6(2):13-21. doi: 10.26828/cannabis/2023/000164. eCollection 2023.
4
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Vaccines (Basel). 2023 Feb 23;11(3):530. doi: 10.3390/vaccines11030530.
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