Evidence map›Paper›PMID 29502329›Full record

Observational studyInternal and emergency medicine2018

Detecting aberrant opioid behavior in the emergency department: a prospective study using the screener and Opioid Assessment for Patients with Pain-Revised (SOAPP

Shawn M Varney, Crystal A Perez, Allyson A Araña, Katherine R Carey, Victoria J Ganem, Lee A Zarzabal, Rosemarie G Ramos, Vikhyat S Bebarta

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Internal and emergency medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
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  4. Review
  5. 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

8 authors.

Shawn M VarneyUniversity of Texas Health San Antonio, 7703 Floyd Curl Dr, San Antonio, TX, 78229-3900, USA. varney@uthscsa.edu.ORCID http://orcid.org/0000-0001-5049-174X
Crystal A PerezUSAF En Route Care Research Center, U.S. Army Institute of Surgical Research, 3698 Chambers Pass STE B, JBSA Fort Sam Houston, San Antonio, TX, 78234, USA.
Allyson A ArañaUSAF En Route Care Research Center, U.S. Army Institute of Surgical Research, 3698 Chambers Pass STE B, JBSA Fort Sam Houston, San Antonio, TX, 78234, USA.
Katherine R CareyThe Geneva Foundation, San Antonio Military Medical Center, 3551 Roger Brooke Dr, Fort Sam Houston, TX, 78234, USA.
Victoria J GanemThe Geneva Foundation, San Antonio Military Medical Center, 3551 Roger Brooke Dr, Fort Sam Houston, TX, 78234, USA.
Lee A ZarzabalSTS Systems Integration, 1077 Central Pkwy S, San Antonio, TX, 78232, USA.
Rosemarie G RamosUniversity of Texas Health San Antonio, 7703 Floyd Curl Dr, San Antonio, TX, 78229-3900, USA.
Vikhyat S BebartaUniversity of Colorado-Denver-Anschutz Medical Campus, 13001 E 17th Place, Aurora, CO, 80045, USA.ORCID http://orcid.org/0000-0001-8816-1199

Funding

US Air Force Office of the Surgeon General unknown
6 · The paper itself

Abstract

Emergency department (ED) providers have limited time to evaluate patients at risk for opioid misuse. A validated tool to assess the risk for aberrant opioid behavior may mitigate adverse sequelae associated with prescription opioid misuse. We sought to determine if SOAPP-R, COMM, and provider gestalt were able to identify patients at risk for prescription opioid misuse as determined by pharmacy records at 12 months. We conducted a prospective observational study of adult patients in a high volume US ED. Patients completed the SOAPP-R and COMM, and treating EM providers evaluated patients' opioid misuse risk. We performed variable-centered, person-centered, and hierarchical cluster analyses to determine whether provider gestalt, SOAPP-R, or COMM, or a combination, predicted higher misuse risk. The primary outcome was the number of opioid prescriptions at 12 months according to pharmacy records. For 169 patients (mean age 43 years, 51% female, 73% white), correlation analysis showed a strong relationship between SOAPP-R and COMM with predicting the number of opioid prescriptions dispensed at 12 months. Provider scores estimating opioid misuse were not related to SOAPP-R and only weakly associated with COMM. In our adjusted regression models, provider gestalt and SOAPP-R uniquely predicted opioid prescriptions at 6 and 12 months. Using designated cutoff scores, only SOAPP-R detected a difference in the number of opioid prescriptions. Cluster analysis revealed that provider gestalt, SOAPP-R, and COMM scores jointly predicted opioid prescriptions. Provider gestalt and self-report instruments uniquely predicted the number of opioid prescriptions in ED patients. A combination of gestalt and self-assessment scores can be used to identify at-risk patients who otherwise miss the cutoff scores for SOAPP-R and COMM.

Indexed as

AdultAnalgesics, OpioidChi-Square DistributionEmergency Service, HospitalFemaleHumansMaleMass ScreeningMiddle AgedOpioid-Related DisordersPainPain MeasurementProspective StudiesRisk AssessmentStatistics, NonparametricAnalgesics, OpioidAberrant opioid behaviorCurrent Opioid Misuse Measure (COMM)Emergency departmentGestaltMilitaryPrescription opioid misuseScreener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R)

Identifiers

What OpenQuestion holds

Textmetadata
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.