Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA 30332, USA.
Fitzpatrick College of Nursing, Villanova University, Villanova, PA 19085, USA.
Int J Environ Res Public Health. 2022 Oct 12;19(20):13103. doi: 10.3390/ijerph192013103.
The opioid epidemic has increasingly been recognized as a public health issue and has challenged our current legal, social, and ethical beliefs regarding drug use. The epidemic not only impacts persons who use drugs, but also those around them, including people who do not expect to witness an overdose. For example, in the commercial district of Little 5 Points, Atlanta, GA, many service industry workers have become de facto responders to opioid overdoses when a person experiences an opioid-involved overdose in their place of employment. To provide additional insights into >300 pages of interview data collected from service industry workers that have responded to an opioid overdose while at work, we utilized a mixed-methods approach to conduct this sentiment analysis. First, using R version 4.2.1, a data-science based textual analytic approach was applied to the interview data. Using a corpus algorithm, each line of interview text was characterized as one of the eight following sentiments, anger, anticipation, disgust, fear, joy, sadness, surprise, or trust. Once having identified statements that fit into each of these eight codes, qualitative thematic analysis was conducted. The three most prevalent emotions elucidated from these interviews with service industry workers were trust, anticipation, and joy with 20.4%, 16.2%, and 14.7% across all statements, respectively labeled as each emotion. Thematic analysis revealed three themes in the data: (1) individuals have a part to address in the opioid epidemic, (2) communities have many needs related to the opioid crisis, and (3) structural forces create pathways and barriers to opioid overdose response and rescue. This analysis thematically identified roles service industry workers have in addressing the opioid crisis in Atlanta. Similarly, community needs and barriers to responding to an opioid-involved overdose were characterized. Uniquely, this study found key sentiments related to each of these themes. Future research can leverage these findings to inform the development of overdose prevention and response interventions for service industry works that systematically address common emotions and beliefs trainees may have.
阿片类药物泛滥已日益被视为公共卫生问题,对我们当前关于吸毒的法律、社会和伦理观念提出了挑战。这场泛滥不仅影响吸毒者本身,还影响到他们周围的人,包括那些原本没料到会目睹用药过量的人。例如,在佐治亚州亚特兰大市小 5 角商业区,许多服务业工人在工作场所目睹阿片类药物过量时,已成为事实上的阿片类药物过量反应者。为了更深入地了解 300 多页采访服务业工人的资料,这些工人在工作场所对阿片类药物过量作出反应,我们利用混合方法来进行这种情感分析。首先,我们使用 R 版本 4.2.1 ,应用基于数据科学的文本分析方法对采访资料进行分析。利用语料库算法,将采访文本的每一行都描述为以下八种情感之一:愤怒、期待、厌恶、恐惧、喜悦、悲伤、惊讶或信任。在确定符合这八种代码的陈述之后,进行了定性主题分析。从这些与服务业工人的访谈中得出的三种最普遍的情绪是信任、期待和喜悦,分别占所有陈述的 20.4%、16.2%和 14.7%,分别标记为每种情绪。主题分析揭示了数据中的三个主题:(1)个人在阿片类药物泛滥中扮演着一定的角色,(2)社区在阿片类药物危机中有许多需求,(3)结构力量为阿片类药物过量反应和救援创造了途径和障碍。这项分析从主题上确定了服务业工人在解决亚特兰大阿片类药物危机中的作用。同样,还确定了应对阿片类药物过量的社区需求和障碍。这项研究的独特之处在于,它发现了与这些主题相关的关键情绪。未来的研究可以利用这些发现,为服务业工人制定预防和应对药物过量的干预措施提供信息,这些措施可以系统地解决学员可能持有的常见情绪和信念。