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An investigation of completion times on the Screener and Opioid Assessment for Patients with Pain – revised (SOAPP-R)

Authors Finkelman MD, Kulich RJ, Butler SF, Jackson WC, Friedman FD, Smits N, Weiner SG

Received 29 September 2016

Accepted for publication 28 October 2016

Published 5 December 2016 Volume 2016:9 Pages 1163—1171


Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Colin Mak

Peer reviewer comments 2

Editor who approved publication: Dr Michael E Schatman

Matthew D Finkelman,1 Ronald J Kulich,2,3 Stephen F Butler,4 William C Jackson,3 Franklin D Friedman,5 Niels Smits,6 Scott G Weiner7

1Department of Public Health and Community Service, Tufts University School of Dental Medicine, Boston, MA, USA; 2Craniofacial Pain and Headache Center, Tufts University School of Dental Medicine, Boston, MA, USA; 3Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, 4Inflexxion Inc, Newton, MA, USA; 5Department of Emergency Medicine, Tufts Medical Center, Boston, MA, USA; 6Department of Methods and Statistics, Research Institute of Child Development and Education, University of Amsterdam, Amsterdam, the Netherlands; 7Department of Emergency Medicine, Brigham and Women’s Hospital, Boston, MA, USA

Background: Respondents’ scores to the Screener and Opioid Assessment for Patients with Pain – revised (SOAPP-R) have been shown to be predictive of aberrant drug-related behavior (ADB). However, research is lacking on whether an individual’s completion time (the amount of time that he/she takes to finish the screener) has utility in predicting ADB, despite the fact that response speed has been useful in predicting behavior in other fields. The purpose of this study was to evaluate the degree to which SOAPP-R completion time is predictive of ADB.
Materials and methods: This retrospective study analyzed completion-time data from 82 adult emergency department patients who completed the SOAPP-R on a tablet computer. The utility of SOAPP-R completion times in predicting ADB was assessed via logistic regression and the area under the curve (AUC) statistic. An external measure of ADB using Prescription Drug Monitoring Program data defined ADB to have occurred in individuals with at least four opioid prescriptions and at least four prescribers in 12 months.
Results: Although there was a slight trend for individuals with greater completion times to have greater odds of ADB (odds ratio 1.004 in simple logistic regression), the association between SOAPP-R completion time and ADB was not statistically significant in either simple logistic regression (P=0.307) or multiple logistic regression adjusting for SOAPP-R score (P=0.419). AUC values for the prediction of ADB using completion time alone, SOAPP-R score alone, and both completion time and SOAPP-R score were 0.63, 0.64, and 0.65, respectively.
Conclusion: There was no significant evidence that SOAPP-R completion times were predictive of ADB among emergency department patients. However, the AUC value for completion times was only slightly less than that for SOAPP-R total scores.

Keywords: chronic pain, substance abuse, risk stratification, aberrant drug-related behavior, response times, response latency

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