scholarly journals The Impact of Prescription Drug Monitoring Programs and Prescribing Guidelines on Emergency Department Opioid Prescribing: A Multi-Center Survey

Pain Medicine ◽  
2016 ◽  
pp. pnw032 ◽  
Author(s):  
Adam C. Pomerleau ◽  
Lewis S. Nelson ◽  
Jason A. Hoppe ◽  
Matthew Salzman ◽  
Paul S. Weiss ◽  
...  
Keyword(s):  
Emergency Department ◽  
Prescription Drug ◽  
Drug Monitoring ◽  
Opioid Prescribing ◽  
Monitoring Programs ◽  
Prescription Drug Monitoring Programs ◽  
The Impact

Surveillance, Self-Governance, and Mortality: The Impact of Prescription Drug Monitoring Programs on U.S. Overdose Mortality, 2000–2016

2022 ◽  
pp. 002214652110672
Author(s):  
Mike Vuolo ◽  
Laura C. Frizzell ◽  
Brian C. Kelly
Keyword(s):  
Prescription Drug ◽  
Population Health ◽  
Drug Monitoring ◽  
Self Regulation ◽  
Opioid Overdose ◽  
Require Time ◽  
Monitoring Programs ◽  
Prescription Drug Monitoring Programs ◽  
Overdose Mortality ◽  
The Impact

Policy mechanisms shaping population health take numerous forms, from behavioral prohibitions to mandates for action to surveillance. Rising drug overdoses undermined the state’s ability to promote population-level health. Using the case of prescription drug monitoring programs (PDMPs), we contend that PDMP implementation highlights state biopower operating via mechanisms of surveillance, whereby prescribers, pharmacists, and patients perceive agency despite choices being constrained. We consider whether such surveillance mechanisms are sufficient or if prescriber/dispenser access or requirements for use are necessary for population health impact. We test whether PDMPs reduced overdose mortality while considering that surveillance may require time to reach effectiveness. PDMPs reduced opioid overdose mortality 2 years postimplementation and sustained effects, with similar effects for prescription opioids, benzodiazepines, and psychostimulants. Access or mandates for action do not reduce mortality beyond surveillance. Overall, PDMP effects on overdose mortality are likely due to self-regulation under surveillance rather than mandated action.

scholarly journals Prescription Drug Monitoring Programs Are Associated With Sustained Reductions In Opioid Prescribing By Physicians

2016 ◽  
Vol 35 (6) ◽  
pp. 1045-1051 ◽  
Author(s):  
Yuhua Bao ◽  
Yijun Pan ◽  
Aryn Taylor ◽  
Sharmini Radakrishnan ◽  
Feijun Luo ◽  
...  
Keyword(s):  
Prescription Drug ◽  
Drug Monitoring ◽  
Opioid Prescribing ◽  
Monitoring Programs ◽  
Prescription Drug Monitoring Programs

The Impact of Prescription Drug Monitoring Programs on U.S. Opioid Prescriptions

2018 ◽  
Vol 46 (2) ◽  
pp. 387-403 ◽  
Author(s):  
Ian Ayres ◽  
Amen Jalal
Keyword(s):  
Prescription Drug ◽  
Drug Monitoring ◽  
Fixed Effects ◽  
Treatment Effects ◽  
State Level ◽  
Opioid Prescription ◽  
Monitoring Programs ◽  
Prescription Drug Monitoring Programs ◽  
Prescription Rates ◽  
The Impact

This paper seeks to understand the treatment effect of Prescription Drug Monitoring Programs (PDMPs) on opioid prescription rates. Using county-level panel data on all opioid prescriptions in the U.S. between 2006 and 2015, we investigate whether state interventions like PDMPs have heterogeneous treatment effects at the sub-state level, based on regional and temporal variations in policy design, extent of urbanization, race, and income. Our models comprehensively control for a set of county and time fixed effects, countyspecific and time-varying demographic controls, potentially endogenous time-series trends in prescription rates, and other state-level opioid interventions such as Naloxone Access and Good Samaritan laws, Medicaid expansion, and the provision of Methadone Assistance Treatment. We find that PDMPs are only effective in reducing prescription rates if they obligate doctors to check for patients' history prior to filling out a prescription, but the frequency at which a state requires its PDMP to be updated is irrelevant to its effectiveness. Moreover, the significant treatment effects of PDMPs are almost exclusively driven by urban and predominantly white counties, with the relatively more affluent regions showing greater responsiveness than their less affluent counterparts.

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