Evidence map›Paper›PMID 29165853›Full record

Trial reportAcademic emergency medicine : official journal of the Society for Academic Emergency Medicine2018

Past-year Prescription Drug Monitoring Program Opioid Prescriptions and Self-reported Opioid Use in an Emergency Department Population With Opioid Use Disorder.

Kathryn Hawk, Gail D'Onofrio, David A Fiellin, Marek C Chawarski, Patrick G O'Connor, Patricia H Owens, Michael V Pantalon, Steven L Bernstein

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Medications at the Emergency Department After Recent Rape.Journal of interpersonal violence · 2022
    Article
  5. Article
  6. Article
  7. Techniques to Shorten a Screening Tool for Emergency Department Patients.The western journal of emergency medicine · 2019
    Article
  8. Opioid Prescribing and Physician Autonomy: A Quality of Care Perspective.HSS journal : the musculoskeletal journal of Hospital for Special Surgery · 2019
    Article
  9. Review
  10. Article
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

8 authors at 1 institution in 1 country.

Kathryn HawkDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT.
Gail D'OnofrioDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT.
David A FiellinDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT.
Marek C ChawarskiDepartment of Psychiatry, Yale School of Medicine, New Haven, CT.
Patrick G O'ConnorDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT.
Patricia H OwensDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT.
Michael V PantalonDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT.
Steven L BernsteinDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT.
Yale University · US

Funding

Yale Drug use, Addiction and HIV Research Scholars (DAHRS)K12DA033312 · NIDA · YALE UNIVERSITY · PI Gail D'Onofrio, Patrick O'Connor · 2013 to 2026
$7.2M
Models of SBIRT for Opioid Dependent Patients in the Emergency DepartmentR01DA025991 · NIDA · YALE UNIVERSITY · PI D'ONOFRIO, GAIL, FIELLIN, DAVID · 2008 to 2012
$4.8M
NIDA NIH HHS K12 DA033312NIDA NIH HHS R01 DA025991
6 · The paper itself

Abstract

backgroundDespite increasing reliance on prescription drug monitoring programs (PDMPs) as a response to the opioid epidemic, the relationship between aberrant drug-related behaviors captured by the PDMP and opioid use disorder is incompletely understood. How PDMP data should guide emergency department (ED) assessment has not been studied.

objectivesThe objective was to evaluate a relationship between PDMP opioid prescription records and self-reported nonmedical opioid use of prescription opioids in a cohort of opioid-dependent ED patients enrolled in a treatment trial.

methodsPDMP opioid prescription records during 1 year prior to study enrollment on 329 adults meeting Diagnostic and Statistical Manual IV criteria for opioid dependence entering a randomized clinical trial in a large, urban ED were cross-tabulated with data on 30-day nonmedical prescription opioid use self-report. The association among these two types of data was assessed by the Goodman and Kruskal's gamma; a logistic regression was used to explore characteristics of participants who had PDMP record of opioid prescriptions.

resultsDuring 1 year prior to study enrollment, 118 of 329 (36%) patients had at least one opioid prescription (range = 1-51) in our states' PDMP. Patients who reported ≥15 of 30 days of nonmedical prescription opioid use were more likely to have at least four PDMP opioid prescriptions (20/38; 53%) than patients reporting 1 to 14 days (14/38, 37%) or zero days of nonmedical prescription opioid use (4/38, 11%; p = 0.002). Female sex and having health insurance were significantly more represented in the PDMP (p < 0.05 for both).

conclusionPDMPs may be helpful in identifying patients with certain aberrant drug-related behavior, but are unable to detect many patients with opioid use disorder. The majority of ED patients with opioid use disorder were not captured by the PDMP, highlighting the importance of using additional methods such as screening and clinical history to identify opioid use disorders in ED patients and the limitations of PDMPs to detect opioid use disorders.

Indexed as

AdultAnalgesics, OpioidEmergency Service, HospitalFemaleHumansMaleMiddle AgedOpioid-Related DisordersPrescription Drug Monitoring ProgramsSelf ReportUnited StatesAnalgesics, Opioid

Identifiers

PMID29165853
PMCPMC5963969
OpenAlexW2768694705

What OpenQuestion holds

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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.