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Geographic, Temporal, and Sociodemographic Differences in Opioid Poisoning
Elinor R Schoenfeld1, George S Leibowitz2, Yu Wang3
1Department of Family, Population and Preventive Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York; Department of Biomedical Informatics, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York.
American Journal of Preventive Medicine
|June 23, 2019
Summary
Opioid poisoning hospital visits in New York increased significantly from 2010-2016, with changing demographics and geographic patterns observed. Data analytics identified key populations and regions for targeted opioid crisis interventions.
Area of Science:
- Epidemiology
- Public Health
- Data Analytics
Background:
- The opioid crisis in the U.S. necessitates tailored interventions.
- Limited understanding of opioid poisoning epidemiology hinders targeted efforts.
Purpose of the Study:
- To analyze geographic, temporal, and sociodemographic factors of opioid poisoning hospital visits.
- To identify high-risk populations and regions for intervention in New York State.
Main Methods:
- Retrospective cohort study of 9,714 Long Island residents (2010-2016).
- Utilized New York State all-payer hospital data and Census data.
- Employed logistic regression for trend analysis and geographic mapping.
Main Results:
- Opioid poisoning hospital visit rates increased 2.5- to 2.7-fold statewide (p<0.001).
- Rates decreased for men, white patients, and self-payers; increased for Medicare payers (p<0.001).
- High-rate communities showed lower median home values, younger, whiter populations, and higher high school graduation rates.
Conclusions:
- Findings reveal evolving demographics of the opioid epidemic.
- Data analytics effectively identifies regions and patient groups for focused interventions.
- Population identification techniques are applicable to other communities and interventions.
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