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

NCT02667262 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1667

Last updated 2020-04-15

No results posted yet for this study

Summary

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

Conditions

  • Opioid-Related Disorders
  • Opiate Addiction
  • Narcotic Abuse
  • Drug Abuse

Interventions

OTHER

Algorithm to identify patients experiencing opioid abuse/addiction

Sponsors & Collaborators

  • World Health Information Science Consultants, LLC

    collaborator OTHER

  • Kaiser Permanente

    collaborator OTHER

  • Member Companies of the Opioid PMR Consortium

    lead INDUSTRY

Principal Investigators

  • Paul Coplan, MS, ScD, MBA · Purdue Pharma LP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2015-05-20
Primary Completion
2017-05-17
Completion
2017-05-17

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02667262 on ClinicalTrials.gov