TY  - JOUR
PY  - 2018//
TI  - Geographic patterns of prescription opioids and opioid overdose deaths in New York State, 2013-2015
JO  - Drug and alcohol dependence
A1  - Romeiser, Jamie L.
A1  - Labriola, Jake
A1  - Meliker, Jaymie R.
SP  - 94
EP  - 100
VL  - 195
IS  - 
N2  - 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>
LA  - en
SN  - 0376-8716
UR  - http://dx.doi.org/10.1016/j.drugalcdep.2018.11.027
ID  - ref1
ER  -