Authors
Nathan Smith, Silvia S Martins, June Kim, Ariadne Rivera‐Aguirre, David S Fink, Alvaro Castillo‐Carniglia, Stephen G Henry, Stephen J Mooney, Brandon DL Marshall, Corey Davis, Magdalena Cerdá
Publication date
2019/2
Journal
Addiction
Volume
114
Issue
2
Pages
248-258
Description
Background and aims
Prescription drug monitoring programs (PDMP), defined as state‐level databases used in the United States that collect prescribing information when controlled substances are dispensed, have varied substantially between states and over time. Little is known about the combinations of PDMP features that, collectively, may produce the greatest impact on prescribing and overdose. We aimed to (1) identify the types of PDMP models that have developed from 1999 to 2016, (2) estimate whether states have transitioned across PDMP models over time and (3) examine whether states have adopted different types of PDMP models in response to the burden of opioid overdose.
Methods
A latent transition analysis of PDMP models based on an adaptation of nine PDMP characteristics classified by prescription opioid policy experts as potentially important determinants of prescribing practices and …
Scholar articles
N Smith, SS Martins, J Kim, A Rivera‐Aguirre, DS Fink… - Addiction, 2019