@article{ref1,
title="Geographic patterns of prescription opioids and opioid overdose deaths in New York State, 2013-2015",
journal="Drug and alcohol dependence",
year="2018",
author="Romeiser, Jamie L. and Labriola, Jake and Meliker, Jaymie R.",
volume="195",
number="",
pages="94-100",
abstract="OBJECTIVES: To examine the relationship between prescription opioid rates and prescription opioid overdose deaths using spatial cluster and regression analyses. <br><br>METHODS: Publicly available county-level data were obtained from the New York State Health Department and the Centers for Disease Control and Prevention, 2013-2015. Kulldorff's spatial scan statistic was used to investigate spatial clustering of New York State opioid prescription overdose death rates, as well as opioid prescription rates. A Poisson regression was used to analyze opioid prescriptions as a predictor of mortality accounting for spatial autocorrelation in the residuals. <br><br>RESULTS: We report 1440 overdose mortalities and 26.8 million opioid prescriptions throughout New York State in 2013-2015. Multiple significant clusters were found for both opioid prescription mortalities as well as prescriptions, although the locations of the elevated rates did not strongly overlap. Poisson regression showed a significant, small, negative relationship between prescriptions and opioid mortalities, wherein for every 10,000 prescriptions increased, the number of opioid mortalities decreased approximately 0.12%; therefore, essentially a null relationship. <br><br>CONCLUSIONS: Simply reducing the number of prescriptions may not be effective in reducing prescription related mortality; although opioid prescription dosing information should be made available to engender a better evaluation of the epidemic. Geographical differences in opioid mortalities exist above and beyond what can be explained by prescription rate data; identifying these locations may help inform and guide public health interventions. Despite the recent reduction in opioid prescription rates, the overall population is still inundated with prescriptions.<br><br>Copyright © 2018 Elsevier B.V. All rights reserved.<p /> <p>Language: en</p>",
language="en",
issn="0376-8716",
doi="10.1016/j.drugalcdep.2018.11.027",
url="http://dx.doi.org/10.1016/j.drugalcdep.2018.11.027"
}