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Drug Alcohol Depend ; 178: 348-354, 2017 09 01.
Artigo em Inglês | MEDLINE | ID: mdl-28692945

RESUMO

BACKGROUND: Prescription Drug Monitoring programs (PDMPs) are intended to reduce opioid prescribing and aberrant drug-related behavior thereby reducing morbidity and mortality due to prescription opioid overdose. Expansion of the New York (NY) State's PDMP in 2013 included the institution of the I-STOP law that mandated clinicians to consult the statewide PDMP database to review the patient's prescription history prior to prescribing opioids. METHODS: Trends in prescription opioid distribution, prescribing, and prescription opioid and heroin overdose morbidity in NY were analyzed using time series. A Chow test was used to test the difference in trends before and after the implementation of I-STOP. RESULTS: The results indicated that: 1) the number of opioid prescriptions appears to be declining following the implementation of the I-STOP, 2) however, supply chain data shows that the total quantity of opioids in the supply chain increased, 3) statewide trends in inpatient and emergency department visits for prescription opioid overdose increased from 2010 to the third quarter of 2013 where the slope leveled off following I-STOP, but this change in slope was not significant, 4) visits for heroin overdose started escalating in 2010 and continued to increase through the second quarter of 2016. The overall significance of these findings show a small impact of PDMPs on prescription opioid overdose morbidity in NY in the context of the increasing national trend during this time period. CONCLUSIONS: Prescription opioid morbidity leveled off following the implementation of a mandated PDMP although morbidity attributable to heroin overdose continued to rise.


Assuntos
Analgésicos Opioides/uso terapêutico , Overdose de Drogas/tratamento farmacológico , Programas de Monitoramento de Prescrição de Medicamentos , Bases de Dados Factuais , Serviço Hospitalar de Emergência , Humanos , New York , Prescrições , Encaminhamento e Consulta
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