Web Application to Investigate Butler County Overdose Death Data

Alison C. Tuiyott, Bri Clements, A. Bailer, L. Mannix, Jennifer Bailer
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Abstract

Background: Drug overdose deaths, specifically opioid-related deaths, are a public health crisis in the United States with high incidence observed in many Midwestern states, including Ohio. Butler County, Ohio, has the third highest opioid-related death rate in the state. Information on overdose deaths, collected by the county coroner, can serve as a data source for analysis of this public health concern. Given this access, stakeholders can investigate trends in their community for their idiosyncratic interest.Methods: A web application was developed, using the R Shiny package, to visualize and explore the characteris-tics of all overdose deaths in Butler County between 2013 and 2018. Demographics of the decedents, drugs found in the decedents’ postmortem toxicology analyses, annual trends in overdose deaths, and the location of these cases can be examined.Results: The web application provides a graphical user interface that allows a user to request specific analyses and summaries. “Who is dying from opioid overdoses?,” “What drugs, including opioids, are found in people dying from drug overdoses?,” and “Has the number of opioid involved deaths increased in a specific community over time?” are examples of questions that can be explored using this application.Conclusion: This application empowers both the public and local policymakers to investigate the impact of overdose deaths on their communities. Understanding characteristics of the epidemic is an important first step to addressing this problem. The expansion of this application to include other counties in Ohio could be truly beneficial to communities that need it.
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调查巴特勒县过量死亡数据的Web应用程序
背景:药物过量死亡,特别是阿片类药物相关死亡,是美国的一项公共卫生危机,在包括俄亥俄州在内的许多中西部州都观察到高发病率。俄亥俄州巴特勒县是该州阿片类药物相关死亡率第三高的县。县验尸官收集的有关过量死亡的信息可作为分析这一公共卫生问题的数据来源。有了这种访问权限,利益相关者可以调查他们社区的趋势,以满足他们的特殊兴趣。方法:使用R Shiny软件包开发web应用程序,对2013年至2018年巴特勒县所有药物过量死亡的特征进行可视化和探索。可以检查死者的人口统计数据、死者死后毒理学分析中发现的药物、过量死亡的年度趋势以及这些病例的地点。结果:web应用程序提供了一个图形用户界面,允许用户请求特定的分析和摘要。“谁在死于阿片类药物过量?”,“包括阿片类药物在内的哪些药物会在因药物过量而死亡的人身上发现?”以及“随着时间的推移,某个特定社区与阿片类药物相关的死亡人数是否有所增加?”是可以使用此应用程序探索的问题示例。结论:该应用程序使公众和当地政策制定者能够调查过量死亡对其社区的影响。了解这一流行病的特点是解决这一问题的重要第一步。将该应用程序扩展到俄亥俄州的其他县,可能会真正使需要它的社区受益。
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