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Prescription opioid registry protocol in an integrated health system.

  • Author(s): Ray, G Thomas
  • Bahorik, Amber L
  • VanVeldhuisen, Paul C
  • Weisner, Constance M
  • Rubinstein, Andrea L
  • Campbell, Cynthia I
  • et al.

Published Web Location

https://www-ncbi-nlm-nih-gov.ucsf.idm.oclc.org/pmc/articles/PMC5560074/
No data is associated with this publication.
Abstract

To establish a prescription opioid registry protocol in a large health system and to describe algorithms to characterize individuals using prescription opioids, opioid use episodes, and concurrent use of sedative/hypnotics.Protocol development and retrospective cohort study.Using Kaiser Permanente Northern California (KPNC) electronic health record data, we selected patients using prescription opioids in 2011. Opioid and sedative/hypnotic fills, and physical and psychiatric comorbidity diagnoses, were extracted for years 2008 to 2014. Algorithms were developed to identify each patient's daily opioid and sedative/hypnotic use, and morphine daily-dose equivalent. Opioid episodes were classified as long-term, episodic, or acute. Logistic regression was used to predict characteristics associated with becoming a long-term opioid user.In 2011, 18% of KPNC adult members filled at least 1 opioid prescription. Among those patients, 25% used opioids long term and their average duration of use was more than 4 years. Sedative/hypnotics were used by 76% of long-term users. Being older, white, living in a more deprived neighborhood, having a chronic pain diagnosis, and use of sedative/hypnotics were predictors of initiating long-term opioid use.This study established a population-based opioid registry that is flexible and can be used to address important questions of prescription opioid use. It will be used in future studies to answer a broad range of other critical public health issues relating to prescription opioid use.

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