Review of Factors, Methods, and Outcome Definition in Designing Opioid Abuse Predictive Models
Author(s) -
Abdullah Alzeer,
Josette Jones,
Matthew J. Bair
Publication year - 2017
Publication title -
pain medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.893
H-Index - 97
eISSN - 1526-4637
pISSN - 1526-2375
DOI - 10.1093/pm/pnx149
Subject(s) - medicine , opioid , inclusion and exclusion criteria , population , psychiatry , alternative medicine , environmental health , receptor , pathology
Several opioid risk assessment tools are available to prescribers to evaluate opioid analgesic abuse among chronic patients. The objectives of this study are to 1) identify variables available in the literature to predict opioid abuse; 2) explore and compare methods (population, database, and analysis) used to develop statistical models that predict opioid abuse; and 3) understand how outcomes were defined in each statistical model predicting opioid abuse.
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