An Observational Study to Develop Algorithms for Identifying Opioid Abuse and Addiction Based on Admin Claims Data
This trial is active, not recruiting.
|Conditions||opioid-related disorders, opiate addiction, narcotic abuse, drug abuse|
|Treatment||algorithm to identify patients experiencing opioid abuse/addiction|
|Sponsor||Member Companies of the Opioid PMR Consortium|
|Collaborator||World Health Information Science Consultants, LLC|
|End date||September 2017|
|Trial size||4000 participants|
|Trial identifier||NCT02667262, 2065-3B, Observational Study 3B|
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
time frame: Retrospective review of data from 2006 to 2015, up to 9 years
All participants at least 18 years old.
Inclusion Criteria: 1. Age ≥ 18 years 2. Receipt of at least a 60 day's supply of ER/LA opioid analgesics within a 90-day period (including transdermal or oral opioids but excluding buprenorpine) 3. Minimum of at least two years continuous enrollment in Group Health integrated group practice (IGP) Exclusion Criteria: 1. Residence in a nursing home at any time during the study period 2. Enrollment in a hospice care program at any time during the study period
|Official title||An Observational Study to Develop Computable Algorithms for Identifying Opioid Abuse and Addiction Based on Administrative Claims Data|
|Description||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.|
Call for more information