-
Drug Alcohol Depend · Feb 2016
Comparative StudyA comparison of an opioid abuse screening tool and prescription drug monitoring data in the emergency department.
- Scott G Weiner, Laura C Horton, Traci C Green, and Stephen F Butler.
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, United States. Electronic address: sweiner@bwh.harvard.edu.
- Drug Alcohol Depend. 2016 Feb 1; 159: 152-7.
ObjectivesThis study aimed to: (a) determine the percentage of ED patients receiving prescriptions for opioid pain medications that meet the criteria for "high-risk for abuse potential" on the Screener and Opioid Assessment for Patients with Pain (SOAPP(®)-R), (b) determine the percentage of patients with high-risk behavior on the state prescription drug monitoring program (PDMP) database, (c) compare the SOAPP-R with data from the PDMP, and (d) determine psychometric properties of SOAPP-R for ED patientsMethodsConvenience sample of ED patients who were being considered for discharge with a prescription for an opioid pain medication. Subjects completed SOAPP-R on an electronic tablet and PDMP data was obtained. Scores on SOAPP-R ≥ 18 were defined as "at-risk", and PDMP data showing both ≥ 4 opioid prescriptions and ≥ 4 providers in 12 months was considered the criterion standard for high-risk behavior.Results82 patients (88.2%) provided consent. 32.9% (n=27) were determined to be "at-risk" (score ≥ 18) by SOAPP-R. 15.9% (n=13) subjects met PDMP criteria and 53.9% (n=7) of those had SOAPP-R scores ≥ 18 (sensitivity 54%, specificity 71%, positive predictive value 26%, negative predictive value 89%). The association of an at-risk SOAPP-R score and PDMP high-risk criteria was an adjusted odds ratio of 1.39 (95% confidence interval 0.73-3.68).ConclusionsIn our population, about one-third of patients being considered for discharge with an opioid prescription scored "at-risk" on SOAPP-R and 15.9% met the PDMP high-risk criteria. The high negative predictive value of SOAPP-R indicates it may be a useful screening tool for the ED patient population.Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
Notes
Knowledge, pearl, summary or comment to share?You can also include formatting, links, images and footnotes in your notes
- Simple formatting can be added to notes, such as
*italics*
,_underline_
or**bold**
. - Superscript can be denoted by
<sup>text</sup>
and subscript<sub>text</sub>
. - Numbered or bulleted lists can be created using either numbered lines
1. 2. 3.
, hyphens-
or asterisks*
. - Links can be included with:
[my link to pubmed](http://pubmed.com)
- Images can be included with:
![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
- For footnotes use
[^1](This is a footnote.)
inline. - Or use an inline reference
[^1]
to refer to a longer footnote elseweher in the document[^1]: This is a long footnote.
.