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Pan_Yuhan_MS_Thesis.pdf (1.43 MB)

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Examining Opioid-related Overdose Events in Dayton, OH using Police, Emergency Medical Services and Coroner’s Data

Pan, Yuhan
http://rave.ohiolink.edu/etdc/view?acc_num=osu1586441323153728

Abstract Details

2020, Master of Science, Ohio State University, Public Health.
The United States is experiencing an opioid overdose epidemic over the past two decades. Ohio, ranked second for the highest overdose death rate involving opioids in 2017, is especially troubled in this crisis. To combat the epidemic, researchers have used public health surveillance data to identify clusters of overdose incidents and develop prevention programs. In this thesis, we obtain data from three different surveillance sources in Dayton, OH to explore the quality and consistency of the stories behind these data sets: ZIP code level naloxone administration by Ohio Emergency Medical Services (EMS) Providers 2017 - 2019, individual-level Dayton Police Department non-fatal and fatal overdose encounters from April 2017 to March 2019, and 2017 Montgomery County Coroner’s office death records. We first aggregate all three data sources into ZIP code level and compare their spatial distribution using map visualizations and Spearman’s correlation test. We then use descriptive statistics and record linkage on the individual-level data from the police and the coroner to understand the demographic characteristics of fatal overdose events. Our correlation test results show a close similarity between the police and the coroner on their reports of fatal overdose locations (p-value < 0.001) in 2017. We find inconsistent location reporting between the police and EMS providers (p-value = 0.68). The demographic information of individual-level data matches closely between the police and the coroner. However, the police encounter data report a much higher proportion of heroin that is not indicated in the coroner’s death records. These findings suggest that researchers should be aware of the limitations of these data sets and use them with appropriate caution.
David Kline (Advisor)
William Miller, C. (Committee Member)
Lai Wei (Committee Member)
50 p.
Biostatistics; Epidemiology; Health Sciences; Information Science; Public Health
opioid; EMS; police; coroner; opioid overdose; public health surveillance; overdose; heroin; fentanyl; data; data value; data quality

Recommended Citations

Citations

  • Pan, Y. (2020). Examining Opioid-related Overdose Events in Dayton, OH using Police, Emergency Medical Services and Coroner’s Data [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1586441323153728

    APA Style (7th edition)

  • Pan, Yuhan. Examining Opioid-related Overdose Events in Dayton, OH using Police, Emergency Medical Services and Coroner’s Data. 2020. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1586441323153728.

    MLA Style (8th edition)

  • Pan, Yuhan. "Examining Opioid-related Overdose Events in Dayton, OH using Police, Emergency Medical Services and Coroner’s Data." Master's thesis, Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1586441323153728

    Chicago Manual of Style (17th edition)

osu1586441323153728
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This open access ETD is published by The Ohio State University and OhioLINK.