• Matthew D Finkelman, Robert N Jamison, Ronald J Kulich, Stephen F Butler, William C Jackson, Niels Smits, and Scott G Weiner.
• Department of Public Health and Community Service, Tufts University School of Dental Medicine, 1 Kneeland St., Boston, MA 02111, USA. Electronic address: matthew.finkelman@tufts.edu.
• Drug Alcohol Depend. 2017 Sep 1; 178: 94-100.

BackgroundThe Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R) is a 24-item assessment designed to assist in the prediction of aberrant drug-related behavior (ADB) among patients with chronic pain. Recent work has created shorter versions of the SOAPP-R, including a static 12-item short form and two computer-based methods (curtailment and stochastic curtailment) that monitor assessments in progress. The purpose of this study was to cross-validate these shorter versions in two new populations.MethodsThis retrospective study used data from patients recruited from a hospital-based pain center (n=84) and pain patients followed and treated at primary care centers (n=110). Subjects had been administered the SOAPP-R and assessed for ADB. In real-data simulation, the sensitivity, specificity, and area under the curve (AUC) of each form were calculated, as was the mean test length using curtailment and stochastic curtailment.ResultsCurtailment reduced the number of items administered by 30% to 34% while maintaining sensitivity and specificity identical to those of the full-length SOAPP-R. Stochastic curtailment reduced the number of items administered by 45% to 63% while maintaining sensitivity and specificity within 0.03 of those of the full-length SOAPP-R. The AUC of the 12-item form was equal to that of the 24-item form in both populations.ConclusionsCurtailment, stochastic curtailment, and the 12-item short form have potential to enhance the efficiency of the SOAPP-R.Copyright © 2017 Elsevier B.V. All rights reserved.

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