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Shortening the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R): A Proof-of-Principle Study
Matthew D Finkelman1, Ronald J Kulich2,3, Kevin L Zacharoff4
1Department of Public Health and Community Service, Tufts University School of Dental Medicine, Boston, Massachusetts, USA.
Pain Medicine (Malden, Mass.)
|July 16, 2015
Summary
Computer-based administration of the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R) can be made more efficient. Techniques like curtailment and stochastic curtailment significantly reduce test length without compromising accuracy in predicting aberrant medication behaviors.
Area of Science:
- Pain Management
- Psychometrics
- Health Informatics
Background:
- The 24-item Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R) assesses aberrant medication-related behaviors in chronic pain patients.
- Its length can deter patient participation and create administrative challenges.
Purpose of the Study:
- To evaluate computer-based curtailment techniques for reducing SOAPP-R length.
- To determine if reduced test length impacts sensitivity and specificity for predicting aberrant drug behaviors.
Main Methods:
- A retrospective study analyzed data from 428 chronic non-cancer pain patients.
- Curtailment and stochastic curtailment methods were simulated post-hoc on the full SOAPP-R.
- Sensitivity, specificity, and average test length were compared to the Aberrant Drug Behavior Index (ADBI).
Main Results:
- Curtailment reduced SOAPP-R average test length by 26% with no loss in sensitivity or specificity.
- Stochastic curtailment reduced length by up to 65%, maintaining sensitivity and specificity within 0.035 of the full test.
- Both methods proved effective in shortening the assessment.
Conclusions:
- Curtailment and stochastic curtailment offer practical strategies to enhance the efficiency of computer-based SOAPP-R administration.
- These methods can potentially increase patient compliance and reduce administrative burdens in pain management settings.
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