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S D Med ; 70(10): 449-455, 2017 Oct.
Article in English | MEDLINE | ID: mdl-28957619

ABSTRACT

INTRODUCTION: Prescription opioid use is becoming increasingly common; consequently, opioid overdose deaths are increasing at an alarming rate. Hydrocodone, one of the most commonly abused opioids, was changed from a schedule III controlled substance to the more stringent schedule II to decrease abuse and diversion, effective Oct. 6, 2014. The objective of this study was to examine the impact of the hydrocodone schedule change on opioid prescribing in South Dakota. METHODS: Opioid prescription patterns were examined in the following six-month phases: the baseline phase before the change, the transition phase when existing hydrocodone prescriptions could still be refilled, and the final phase. The South Dakota Board of Pharmacy Prescription Drug Monitoring Program provided aggregate monthly data for South Dakota opioid prescriptions (i.e., total number of prescriptions and days supplied), including urban and rural stratification. T-tests were performed on the monthly values for each phase to determine the significance of differences in prescription features between phases. RESULTS: The number of hydrocodone prescriptions significantly decreased 14 percent from baseline to final phase, while the days supplied per prescription significantly increased 7.4 percent. These changes were greater in rural areas than in urban areas. Conversely, the number of other opioid prescriptions significantly increased by 6.5 percent over this timeframe. CONCLUSIONS: The number of hydrocodone prescriptions decreased, while the days supplied per prescription increased. These changes were greater in rural areas than in urban areas. In addition, the number of other opioid prescriptions increased. These trends may reflect some unintended effects of the schedule change.


Subject(s)
Analgesics, Opioid/supply & distribution , Drug Prescriptions/statistics & numerical data , Hydrocodone/supply & distribution , Opioid-Related Disorders/prevention & control , Practice Patterns, Physicians' , Prescription Drug Monitoring Programs/statistics & numerical data , Humans , Prescription Drug Diversion/legislation & jurisprudence , Prescription Drug Diversion/prevention & control , Rural Health/statistics & numerical data , South Dakota , Urban Health/statistics & numerical data
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