Evidence map›Paper›PMID 30243415›Full record

ArticleJournal of substance abuse treatment2018

Variations in prescription drug monitoring program use by prescriber specialty.

Benjamin C Sun, Nicoleta Lupulescu-Mann, Christina J Charlesworth, Hyunjee Kim, Daniel M Hartung, Richard A Deyo, K John McConnell

Open access · greenAbstract read
In one paragraph

Article in Journal of substance abuse treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Article
  5. Review
  6. Predicting the Physician's Specialty Using a Medical Prescription Database.Computational and mathematical methods in medicine · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Benjamin C SunCenter for Policy Research-Emergency Medicine, Department of Emergency Medicine, Oregon Health and Science University, Portland, OR, United States of America. Electronic address: sunb@ohsu.edu.
Nicoleta Lupulescu-MannCenter for Health Systems Effectiveness, Oregon Health and Science University, Portland, OR, United States of America.
Christina J CharlesworthCenter for Health Systems Effectiveness, Oregon Health and Science University, Portland, OR, United States of America.
Hyunjee KimCenter for Health Systems Effectiveness, Oregon Health and Science University, Portland, OR, United States of America.
Daniel M HartungCollege of Pharmacy, Oregon State University/Oregon Health and Science University, Portland, OR, United States of America.
Richard A DeyoDepartment of Family Medicine, Department of Medicine, Department of Public Health and Preventive Medicine, and Oregon Institute of Occupational Health Sciences, Oregon Health and Science University, Portland, OR, United States of America.
K John McConnellCenter for Policy Research-Emergency Medicine, Department of Emergency Medicine, Oregon Health and Science University, Portland, OR, United States of America; Center for Health Systems Effectiveness, Oregon Health and Science University, Portland, OR, United States of America.
Oregon Health & Science University · USOregon State University · US

Funding

EFFECTIVENESS OF PRESCRIPTION MONITORING PROGRAM USE IN EMERGENCY DEPARTMENTSR01DA036522 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI SUN, BENJAMIN C · 2014 to 2017
$1.5M
NIDA NIH HHS R01 DA036522
6 · The paper itself

Abstract

backgroundAlthough prescription drug monitoring programs (PDMPs) have been widely implemented to potentially reduce abuse of prescription opioids, there is limited data on variations in PDMP use by prescriber specialty. Such knowledge may guide targeted interventions to improve PDMP use.

methodsUsing data from Washington state Medicaid program, we performed a retrospective cohort study of opioid prescribers and their PDMP queries between Nov 1, 2013 and Oct 31, 2014. PDMP registration was mandatory for emergency physicians, but not for other providers. The unit of analysis was the prescriber. The primary outcome was any prescriber queries of the PDMP. We used multivariate regression models to identify variations in PDMP queries by prescriber specialty, as well as to explore explanatory pathways for observed variations.

resultsWe studied 17,390 providers who prescribed opioids, including 8718 (50%) who were not registered with PDMP, 4767 (27%) who were registered but had no recorded use of the PDMP, and 3905 (23%) PDMP users (queries/user: median 18, IQR 5-64). Compared to general medicine physicians, PDMP use was higher for emergency physicians (OR 1.4, 95%CI: 1.2-1.7), and lower for surgical specialists (OR 0.1, 95%CI: 0.08-0.1), obstetrician-gynecologists (OR 0.2, 95%CI: 0.1-0.2) and dentists (OR 0.4, 95%CI: 0.4-0.5). Higher use by emergency physicians appeared to be mediated by higher registration rates, rather than by provider level predilection to use the PDMP.

conclusionsA minority of opioid prescribers to Medicaid beneficiaries used the PDMP. We identified variations in PDMP use by prescriber specialty. Interventions to increase PDMP queries should target both PDMP registration and PDMP use after registration, as well as specialties with current low use rates.

Indexed as

Analgesics, OpioidCohort StudiesHumansMedicaidMultivariate AnalysisOpioid-Related DisordersPhysiciansPractice Patterns, Physicians'Prescription Drug MisusePrescription Drug Monitoring ProgramsRegression AnalysisRetrospective StudiesSpecializationUnited StatesWashingtonAnalgesics, OpioidPrescription drug monitoring program

Identifiers

PMID30243415
PMCPMC6453570
OpenAlexW2888164210

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.