Opioid-Related Disorders Clinical Trial
Official title:
An Observational Study to Develop Computable Algorithms for Identifying Opioid Abuse and Addiction Based on Administrative Claims Data
The purpose of this study is to develop and validate a classification model based entirely on medical claims data that can be used to identify patients experiencing prescription opioid abuse/addiction among patients receiving extended-release (ER) and/or long-acting (LA) opioids
The most widely available information about patient care and conditions is that contained in
medical claims data. If such data can be used to develop a model for identifying patients
experiencing prescription opioid abuse/addiction it could be widely applied to patient
populations throughout the United States.
A study recently conducted at Group Health comparing International Classification of Disease,
Ninth edition (ICD-9) coding for opioid abuse/addiction to textual mentions in clinical notes
describing abuse/addiction found that ICD-9 codes were 64% sensitive and 96% specific in
their ability to identify patients experiencing opioid abuse/addiction (compared to evidence
from clinical notes). This Group Health study considered codes for abuse (305.x) and
addiction (304.x) equivalent because clinicians' usage of these codes did not differentiate
well between abuse and addiction.
Needed are methods that can accurately identify patients experiencing opioid abuse/addiction
based on widely available claims data.
This study will not evaluate opioid misuse because this will be captured by instruments in a
prospective study of pain patients (Study 1A) using a combination of adapted validated
instruments, and other new instruments that will be evaluated in post-marketing requirement
(PMR) Study 2, plus medical record review to supplement questionnaire-based measurement of
misuse, abuse and addiction with aberrant behaviors and physician text entries in the medical
records.
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