Literature DB >> 26176496

Shortening the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R): A Proof-of-Principle Study for Customized Computer-Based Testing.

Matthew D Finkelman1, Ronald J Kulich2,3, Kevin L Zacharoff4, Niels Smits5, Britta E Magnuson6, Jinghui Dong7, Stephen F Butler8.   

Abstract

BACKGROUND: The 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.
OBJECTIVE: To 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.
DESIGN: Retrospective study.
SETTING: Pain management centers.
SUBJECTS: Four hundred and twenty-eight chronic non-cancer pain patients.
METHODS: Subjects 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.
RESULTS: The 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.
CONCLUSIONS: Curtailment and stochastic curtailment have potential to improve the SOAPP-R's efficiency in computer-based administrations. Wiley Periodicals, Inc.

Entities:  

Keywords:  Chronic Pain; Opioids; Respondent Burden; Risk Stratification; SOAPP-R; Substance Abuse

Mesh:

Substances:

Year:  2015        PMID: 26176496      PMCID: PMC4706778          DOI: 10.1111/pme.12864

Source DB:  PubMed          Journal:  Pain Med        ISSN: 1526-2375            Impact factor:   3.750


  47 in total

1.  Curtailment: a method to reduce the length of self-report questionnaires while maintaining diagnostic accuracy.

Authors:  Marjolein Fokkema; Niels Smits; Matthew D Finkelman; Henk Kelderman; Pim Cuijpers
Journal:  Psychiatry Res       Date:  2013-11-12       Impact factor: 3.222

Review 2.  Opioids for low back pain.

Authors:  Richard A Deyo; Michael Von Korff; David Duhrkoop
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3.  Current developments and future directions in computerized personality assessment.

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5.  Predicting aberrant drug behavior in patients treated for chronic pain: importance of abuse history.

Authors:  Edward Michna; Edgar L Ross; Wilfred L Hynes; Srdjan S Nedeljkovic; Sharonah Soumekh; David Janfaza; Diane Palombi; Robert N Jamison
Journal:  J Pain Symptom Manage       Date:  2004-09       Impact factor: 3.612

6.  Clinical guidelines for the use of chronic opioid therapy in chronic noncancer pain.

Authors:  Roger Chou; Gilbert J Fanciullo; Perry G Fine; Jeremy A Adler; Jane C Ballantyne; Pamela Davies; Marilee I Donovan; David A Fishbain; Kathy M Foley; Jeffrey Fudin; Aaron M Gilson; Alexander Kelter; Alexander Mauskop; Patrick G O'Connor; Steven D Passik; Gavril W Pasternak; Russell K Portenoy; Ben A Rich; Richard G Roberts; Knox H Todd; Christine Miaskowski
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7.  Development and validation of the Current Opioid Misuse Measure.

Authors:  Stephen F Butler; Simon H Budman; Kathrine C Fernandez; Brian Houle; Christine Benoit; Nathaniel Katz; Robert N Jamison
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8.  Risk stratification of opioid misuse among patients with cancer pain using the SOAPP-SF.

Authors:  Dhanalakshmi Koyyalagunta; Eduardo Bruera; Carrie Aigner; Harun Nusrat; Larry Driver; Diane Novy
Journal:  Pain Med       Date:  2013-04-30       Impact factor: 3.750

9.  Item response theory, computerized adaptive testing, and PROMIS: assessment of physical function.

Authors:  James F Fries; James Witter; Matthias Rose; David Cella; Dinesh Khanna; Esi Morgan-DeWitt
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10.  A proof of principle for using adaptive testing in Routine Outcome Monitoring: the efficiency of the Mood and Anxiety Symptoms Questionnaire -Anhedonic Depression CAT.

Authors:  Niels Smits; Frans G Zitman; Pim Cuijpers; Margien E den Hollander-Gijsman; Ingrid V E Carlier
Journal:  BMC Med Res Methodol       Date:  2012-01-10       Impact factor: 4.615

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  3 in total

1.  Development of Short-Form Versions of the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R): A Proof-of-Principle Study.

Authors:  Matthew D Finkelman; Niels Smits; Ronald J Kulich; Kevin L Zacharoff; Britta E Magnuson; Hong Chang; Jinghui Dong; Stephen F Butler
Journal:  Pain Med       Date:  2017-07-01       Impact factor: 3.750

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

Authors:  Matthew D Finkelman; Ronald J Kulich; Stephen F Butler; William C Jackson; Franklin D Friedman; Niels Smits; Scott G Weiner
Journal:  J Pain Res       Date:  2016-12-05       Impact factor: 3.133

3.  Application of risk assessment tools to predict opioid usage after shoulder surgery.

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Journal:  JSES Int       Date:  2022-07-03
  3 in total

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