Cited by 63Opioid Use Disorder TreatmentSubstance Abuse Treatment and OutcomesPoisoning and overdose treatments

Features of prescription drug monitoring programs associated with reduced rates of prescription opioid-related poisonings

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Pauly, N.J., Slavova, S., Delcher, C., Freeman, P.R., Talbert, J.·2018·Drug and Alcohol Dependence

Abstract

Background The United States is in the midst of an opioid epidemic. In addition to other system-level interventions, all states have responded during the crisis by implementing prescription drug monitoring programs (PDMPs). This study examines associations between specific administrative features of PDMPs and changes in the risk of prescription opioid-related poisoning (RxORP) over time.Methods This longitudinal, observational study utilized a 'natural experiment' design to assess associations between PDMP features and risk of RxORP in a nationally-representative population of privately-insured adults from 2004 to 2014. Administrative health claims data were used to identify inpatient hospital admissions and emergency department visits related to RxORP. Generalized estimating equation Poisson regression models were used to examine associations between specific PDMP features and changes in relative risk (RR) of RxORP over time.Results In adjusted analyses, states without PDMPs experienced an average annual increase in the rate of RxORP of 9.51% over the study period, while states with operational PDMPs experienced an average annual increase of 3.17%. The increase in RR of RxORP over time in states with operational PDMPs was significantly less than increases in states without PDMPs. States with specific features, including those that monitored more schedules or required more frequent data reporting, experienced stronger protective effects on the RR of RxORP over time.Conclusion This study examined associations between specific PDMP features and RxORP rates in a nationally-representative population of privately-insured adults. Results of this study may be used as empirical evidence to guide PDMP best practices.

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Crossref · 10.1016/j.drugalcdep.2017.12.002

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  • Prescription drug monitoring programs (PDMPs) share data across states and represent a policy tool targeted toward providers, the broadest level of intervention in the socio-ecological model.

    “Prescription drug monitoring programs (PDMPs) (187) share data across states and represent a policy tool targeted toward providers, the broadest level of intervention in the socio-ecological model (188, 189).”

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Authors
Pauly, N. J., Slavova, S., Delcher, C., Freeman, P. R., & Talbert, J.
Affiliations
  • University of Kentucky (US)
  • University of Florida Health (US)
Corresponding author
Pauly, N.J.
Venue
Drug and Alcohol Dependence
Publisher
Elsevier BV
Published
2018-03
Volume
184
Pages
26-32
ISSN
0376-8716 (ISSN-L)
OpenAlex
W2783112808
Cited by
63
References
38
Citations by year
2026: 1 · 2025: 5 · 2024: 4 · 2023: 5 · 2022: 4 · 2021: 7 · 2020: 12 · 2019: 19 · 2018: 6
FWCI
10.47
Type
journal article
Language
en
Open access
Locations
  • Drug and Alcohol Dependence (acceptedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
University of Kentucky Center for Clinical and Translational Sciences (UL1TR001998)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Health Sciences › Medicine › Emergency Medicine › Poisoning and overdose treatments
Keywords
prescription drug monitoring programs, opioid epidemic, emergency department visits, hospitalization, privately insured adults
MeSH terms
Prescription Drug Monitoring Programs, Adult, Analgesics, Opioid, Emergency Service, Hospital, Female, Humans, Longitudinal Studies, Male, United States, Drug Overdose, Prescription Drug Misuse

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