ArticlePain medicine (Malden, Mass.)2015
Shortening the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R): A Proof-of-Principle Study for Customized Computer-Based Testing.
Article in Pain medicine (Malden, Mass.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Application of risk assessment tools to predict opioid usage after shoulder surgery.JSES international · 2022Article
- Craving in Opioid Use Disorder: From Neurobiology to Clinical Practice.Frontiers in psychiatry · 2019Review
- Development of Short-Form Versions of the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R): A Proof-of-Principle Study.Pain medicine (Malden, Mass.) · 2017Article
- An investigation of completion times on the Screener and Opioid Assessment for Patients with Pain - revised (SOAPP-R).Journal of pain research · 2016Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundThe Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R) is a 24-item self-report instrument that was developed to aid providers in predicting aberrant medication-related behaviors among chronic pain patients. Although the SOAPP-R has garnered widespread use, certain patients may be dissuaded from taking it because of its length. Administrative barriers associated with lengthy questionnaires further limit its utility.
objectiveTo investigate the extent to which two techniques for computer-based administration (curtailment and stochastic curtailment) reduce the average test length of the SOAPP-R without unduly affecting sensitivity and specificity.
designRetrospective study.
settingPain management centers. SUBJECTS: Four hundred and twenty-eight chronic non-cancer pain patients.
methodsSubjects had taken the full-length SOAPP-R and been classified by the Aberrant Drug Behavior Index (ADBI) as having engaged or not engaged in aberrant medication-related behavior. Curtailment and stochastic curtailment were applied to the data in post-hoc simulation. Sensitivity and specificity with respect to the ADBI, as well as average test length, were computed for the full-length test, curtailment, and stochastic curtailment.
resultsThe full-length SOAPP-R exhibited a sensitivity of 0.745 and a specificity of 0.671 for predicting the ADBI. Curtailment reduced the average test length by 26% while exhibiting the same sensitivity and specificity as the full-length test. Stochastic curtailment reduced the average test length by as much as 65% while always exhibiting sensitivity and specificity for the ADBI within 0.035 of those of the full-length test.
conclusionsCurtailment and stochastic curtailment have potential to improve the SOAPP-R's efficiency in computer-based administrations.
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