Evidence map›Paper›PMID 32051924›Full record

ArticleToxicology communications2019

Agreement between self-reported psychoactive substance use and urine toxicology results for adults with opioid use disorder admitted to hospital.

Jessica L Moreno, Matthew S Duprey, Bryan D Hayes, Kirsten Brooks, Sabrina Khalil, Sarah E Wakeman, Russell J Roberts, Jared S Jacobson, John W Devlin

Open access · goldAbstract read
In one paragraph

Article in Toxicology communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. OpiTrack: A Wearable-based Clinical Opioid Use Tracker with Temporal Convolutional Attention Networks.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2021
    Article
  8. 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

9 authors at 3 institutions in 1 country.

Jessica L MorenoDepartment of Quality Management and Patient Safety, Beaumont Health, Southfield, MI, USA.
Matthew S DupreySchool of Pharmacy, Northeastern University, Boston, MA, USA.
Bryan D HayesDepartment of Pharmacy, Massachusetts General Hospital, Boston, MA.
Kirsten BrooksSchool of Pharmacy, Northeastern University, Boston, MA, USA.
Sabrina KhalilSchool of Pharmacy, Northeastern University, Boston, MA, USA.
Sarah E WakemanDepartment of Medicine, Harvard Medical School, Boston, MA, USA.
Russell J RobertsSchool of Pharmacy, Northeastern University, Boston, MA, USA.
Jared S JacobsonDepartment of Health Sciences, Northeastern University, Boston, MA, USA.
John W DevlinSchool of Pharmacy, Northeastern University, Boston, MA, USA.
Northeastern University · USMassachusetts General Hospital · USHarvard University · US

Funding

Preventing ICU Subsyndromal Delirium Conversion to Delirium with HaloperidolR15AG034915 · NIA · NORTHEASTERN UNIVERSITY · PI DEVLIN, JOHN W. · 2010 to 2010
$322k
NIA NIH HHS R15 AG034915
6 · The paper itself

Abstract

Hospitals often perform urine drug screens (UDS) upon inpatient admission to confirm self-reported psychoactive substance use for patients with opioid use disorder (OUD). We sought to evaluate the agreement between UDS and patient self-report for psychoactive substances detected with UDS for adults with OUD admitted to hospital. For 11 substance categories, we evaluated agreement between the UDS and the documented history over a 5-year period for consecutive adults admitted to one academic center with a history of OUD. Among the 153 patients, overall agreement across the 1683 different history/UDS pairs (i.e. either history+/UDS + or history-/UDS-) was high (81.3%) but varied (from lowest to highest) by substance [opiates (56.9%), benzodiazepines (66.0%), 6-acetylmorphine (67.3%), cocaine (81.0%), cannabinoids (81.0%), methadone (83.7%), buprenorphine (85.0%), amphetamine (94.8%), barbiturates (95.4%), and phencyclidine (98.7%)]. History+/UDS- pair mismatches were most frequent for 6-acetylmorphine (32.7%), methadone (14.3%) and oxycodone (12.4%); history-/UDS + pair mismatches were most frequent for opiates (43.1%), benzodiazepines (24.8%) and cannabinoids (18.3%). The change in agreement over time of self-reported heroin use may reflect an increasing number of patients unknowingly using illicit fentanyl products. Among hospitalized patients with OUD, agreement between reported psychoactive substance use history and UDS results is strong with the exception of opiates, heroin, and benzodiazepines.

Indexed as

Drug screeningmedication reconciliationopioid related disordersubstance abuse detection

Identifiers

PMID32051924
PMCPMC7015152
OpenAlexW2995486702

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.