Literature DB >> 20958848

Pilot study of a preliminary criterion standard for prescription opioid misuse.

Robert C Smith1, Cathy Frank, Joseph C Gardiner, Lois Lamerato, Kathryn M Rost.   

Abstract

Multidisciplinary experts created a behaviorally defined preliminary criterion standard definition of probable prescription opioid misuse (PPOM) that could be rated from material found in administrative, pharmacy, and electronic health record databases. They then derived a scoring system to identify PPOM patients requiring referral to a specialist. Experts next rated cases of misuse and nonmisuse. Rater no. 1 correctly differentiated 37 of 40 cases (92.5%); kappa coefficient was .79 (CI: .57, 1.00). Rater no. 2 correctly identified 39 of 40 cases (97.5%); kappa was .94 (CI: .81, 1.00). Kappa for comparing raters was .73 (CI: .49, .98). This preliminary study demonstrates that multidisciplinary raters can use behaviorally based criteria to identify patients with known PPOM from health plan databases. © American Academy of Addiction Psychiatry.

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Year:  2010        PMID: 20958848     DOI: 10.1111/j.1521-0391.2010.00084.x

Source DB:  PubMed          Journal:  Am J Addict        ISSN: 1055-0496


  4 in total

1.  Depression and prescription opioid misuse among chronic opioid therapy recipients with no history of substance abuse.

Authors:  Alicia Grattan; Mark D Sullivan; Kathleen W Saunders; Cynthia I Campbell; Michael R Von Korff
Journal:  Ann Fam Med       Date:  2012 Jul-Aug       Impact factor: 5.166

2.  Factors predicting development of opioid use disorders among individuals who receive an initial opioid prescription: mathematical modeling using a database of commercially-insured individuals.

Authors:  Bryan N Cochran; Annesa Flentje; Nicholas C Heck; Jill Van Den Bos; Dan Perlman; Jorge Torres; Robert Valuck; Jean Carter
Journal:  Drug Alcohol Depend       Date:  2014-03-12       Impact factor: 4.492

3.  External validation of an opioid misuse machine learning classifier in hospitalized adult patients.

Authors:  Majid Afshar; Brihat Sharma; Sameer Bhalla; Hale M Thompson; Dmitriy Dligach; Randy A Boley; Ekta Kishen; Alan Simmons; Kathryn Perticone; Niranjan S Karnik
Journal:  Addict Sci Clin Pract       Date:  2021-03-17

4.  Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients.

Authors:  Brihat Sharma; Dmitriy Dligach; Kristin Swope; Elizabeth Salisbury-Afshar; Niranjan S Karnik; Cara Joyce; Majid Afshar
Journal:  BMC Med Inform Decis Mak       Date:  2020-04-29       Impact factor: 3.298

  4 in total

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