Abstract
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.
Funder
Nell Hodgson Woodruff School of Nursing, Center for Data Science
Subject
Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health
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