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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao American Journal on ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
American Journal on Addictions
Article . 2021 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Prescription Drug Monitoring Program: Access in the First Year

Authors: Mitchell Crawford; Pantea Farahmand; Erin Kate McShane; Abigail Z. Schein; Janet Richmond; Grace Chang;

Prescription Drug Monitoring Program: Access in the First Year

Abstract

Background and ObjectivesPrescription Drug Monitoring Programs (PDMP) detect high‐risk prescribing and patient behaviors. This study describes the characteristics associated with documented PDMP access when prescribing opioids.MethodsRetrospective chart review of 695 opioid prescriptions written from inpatient and outpatient medical and psychiatric settings. Data were abstracted and analyzed to identify characteristics associated with documented PDMP access.ResultsOne‐third of the charts had PDMP access documented within the week of opioid prescription; 12% showed PDMP consultation on the same day. Services varied greatly from 10.5% (inpatient medicine) to 57% (inpatient psychiatry) with regard to same‐day PDMP access (P < .0001). Patient characteristics associated with PDMP access include having acute pain, current mental health treatment, and current and past substance use disorders (all P < .05). Logistic regression modeling identified three variables associated with the odds of PDMP access (c‐statistic = 0.66): if the prescription originated from the inpatient medicine unit (odds ratio [OR] = 0.47, 95% confidence interval [CI] = 0.32, 0.68), or if the patient received a prescription for an opioid in the past 30 days (OR = 0.30, 95% CI = 0.10, 0.90) or had a urine toxicology screen in the past year (OR = 2.00, 95% CI = 1.40, 2.90).Discussion and ConclusionsUtilization of the PDMP varied by specialty and setting.Scientific SignificanceThis study is among the first to compare rates of PDMP access in a large sample by specialty and practice setting in a healthcare system with a policy requiring its access and appropriate documentation. With less than one‐third adherence to the policy, additional steps to increase consistent PDMP access are warranted. (Am J Addict 2021;00:00–00)

Related Organizations
Keywords

Adult, Male, Prescription Drugs, Middle Aged, Analgesics, Opioid, Humans, Prescription Drug Monitoring Programs, Female, Aged, Program Evaluation, Retrospective Studies

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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