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OpenTrials
Completed

NCT Number: NCT02667262

An Observational Study to Develop Algorithms for Identifying Opioid Abuse and Addiction Based on Admin 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

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Key information

About this study

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.

Who can participate

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Age ≥ 18 years
  • 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)
  • Minimum of at least two years continuous enrollment in Group Health integrated group practice (IGP)

Exclusion criteria

  • Residence in a nursing home at any time during the study period
  • Enrollment in a hospice care program at any time during the study period

Treatment and study plan

Algorithm to identify patients experiencing opioid abuse/addiction

Other

Primary outcomes

  1. Opioid abuse/addiction

    Time frame: Retrospective review of data from 2006 to 2015, up to 9 years

    This will be assessed from three data sources: a diagnostic algorithm that uses coded terms in claims data, Natural Language Processing assessment of text in electronic medical records, and medical chart review by clinicians trained in chart review

Sponsors and collaborators

Lead sponsor

Member Companies of the Opioid PMR Consortium

Industry

Collaborators

  • Kaiser Permanente
  • World Health Information Science Consultants, LLC

Registry information

Official study title

An Observational Study to Develop Computable Algorithms for Identifying Opioid Abuse and Addiction Based on Administrative Claims Data

Important dates

Study start
2015
Primary completion
2017
Study completion
2017
First posted
Jan 28, 2016
Registry last updated
Apr 15, 2020

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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