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Utility of Poison Control Center Data for Automated Opioid Overdose Surveillance.
Christina L Radloff1, Heather Bennett, Catherine J Staes
1University of Utah College of Nursing, Salt Lake City, Utah (Ms Radloff and Dr Staes); and Utah Poison Control Center, College of Pharmacy, Salt Lake City, Utah (Ms Bennett).
Poison control centers offer timely data for opioid overdose surveillance. However, current data requires enhancements for comprehensive automated tracking of all case types.
Area of Science:
- Public Health Surveillance
- Toxicology
- Data Science
Background:
- Opioid overdoses are a leading cause of death in the US.
- Poison control centers (PCCs) can provide real-time data on opioid exposures.
- PCC data may capture cases not seen in healthcare facilities.
Purpose of the Study:
- Identify data needs for opioid overdose surveillance.
- Assess PCC data quality and availability for state-based monitoring.
- Determine feasibility of automated surveillance using PCC data.
Main Methods:
- Defined opioid overdose case criteria based on CDC standards.
- Evaluated PCC data for required concepts and metrics.
- Assessed data structure and narrative text for surveillance feasibility.
Main Results:
- A portion of probable opioid overdose cases can be identified using structured PCC data.
- Confirmed and suspected case definitions require additional structured data or text analysis.
- Narrative text in PCC data may lack crucial confirmation details.
Conclusions:
- PCC data is a valuable, timely resource for partial automated opioid overdose surveillance.
- Enhanced structured and coded data are necessary for comprehensive PCC-based surveillance.
- Further data integration is needed to fully utilize PCCs for opioid overdose monitoring.
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