Literature DB >> 23709300

Preliminary data on a new opioid risk assessment measure: the Brief Risk Interview.

Ted Jones1, Todd Moore.   

Abstract

Risk assessment and stratification have become a central issue in prescribing opioids to patients with chronic pain. Research to date on various risk screening measures has shown that a clinical interview by an experienced clinician offers superior predictive ability in identifying patients who are more likely to engage in future medication aberrant behavior. The current study represents a pilot study of an interview rating scale that is designed to replicate this clinical assessment. This study compares the predictions of medication aberrant behavior made by the Opioid Risk Tool, the Screener and Opioid Assessment for Patients with Pain-Revised, and the new interview rating scale, the Brief Risk Interview (BRI). A sample of 196 patients was assessed by each of the three risk measures and then follow-up data were gathered at 6 months post interview to determine which patients had engaged in medication aberrant behavior and had been discharged from the practice. The BRI shows superior predictive ability in identifying patients who later engage in medication aberrant behavior. Although more study in other settings is needed, these preliminary data suggest that the Brief Risk Interview could be a useful tool for any pain clinician in assessing risk through the use of information gathered in a brief interview.

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Year:  2013        PMID: 23709300     DOI: 10.5055/jom.2013.0143

Source DB:  PubMed          Journal:  J Opioid Manag        ISSN: 1551-7489


  8 in total

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Authors:  James Ducharme; Sean Moore
Journal:  Mo Med       Date:  2019 Jul-Aug

2.  Development of the Revised Opioid Risk Tool to Predict Opioid Use Disorder in Patients with Chronic Nonmalignant Pain.

Authors:  Martin D Cheatle; Peggy A Compton; Lara Dhingra; Thomas E Wasser; Charles P O'Brien
Journal:  J Pain       Date:  2019-01-26       Impact factor: 5.820

3.  Associations Between Physical Pain, Pain Management, and Frequency of Nonmedical Prescription Opioid Use Among Young Adults: A Sex-specific Analysis.

Authors:  Tristan I Evans; Elliott J Liebling; Traci C Green; Scott E Hadland; Melissa A Clark; Brandon D L Marshall
Journal:  J Addict Med       Date:  2017 Jul/Aug       Impact factor: 3.702

4.  Persistence with opioids post discharge from hospitalisation for surgery in Australian adults: a retrospective cohort study.

Authors:  Elizabeth Ellen Roughead; Renly Lim; Emmae Ramsay; Anna K Moffat; Nicole L Pratt
Journal:  BMJ Open       Date:  2019-04-16       Impact factor: 2.692

5.  Diagnostic and Predictive Capacity of the Spanish Versions of the Opioid Risk Tool and the Screener and Opioid Assessment for Patients with Pain-Revised: A Preliminary Investigation in a Sample of People with Noncancer Chronic Pain.

Authors:  Rosa Esteve; Ángela Reyes-Pérez; Carmen Ramírez-Maestre; Andrea Gutiérrez-Extremera; Rocío Fuentes-Bravo; Rocío de la Vega; Gema T Ruíz-Párraga; Elena R Serrano-Ibáñez; Alicia E López-Martínez
Journal:  Pain Ther       Date:  2022-02-07

Review 6.  CDC Guideline for Prescribing Opioids for Chronic Pain--United States, 2016.

Authors:  Deborah Dowell; Tamara M Haegerich; Roger Chou
Journal:  JAMA       Date:  2016-04-19       Impact factor: 56.272

7.  Validation Study of a Predictive Algorithm to Evaluate Opioid Use Disorder in a Primary Care Setting.

Authors:  Maneesh Sharma; Chee Lee; Svetlana Kantorovich; Maria Tedtaotao; Gregory A Smith; Ashley Brenton
Journal:  Health Serv Res Manag Epidemiol       Date:  2017-08-24

8.  A prospective, longitudinal study to evaluate the clinical utility of a predictive algorithm that detects risk of opioid use disorder.

Authors:  Ashley Brenton; Chee Lee; Katrina Lewis; Maneesh Sharma; Svetlana Kantorovich; Gregory A Smith; Brian Meshkin
Journal:  J Pain Res       Date:  2018-01-05       Impact factor: 3.133

  8 in total

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