Measuring problem prescription opioid use among patients receiving long-term opioid analgesic treatment: development and evaluation of an algorithm for use in EHR and claims data

OBJECTIVE: Opioid surveillance in response to the opioid epidemic will benefit from scalable, automated algorithms for identifying patients with clinically documented signs of problem prescription opioid use. Existing algorithms lack accuracy. We sought to develop a high-sensitivity, high-specificit...

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Bibliografische gegevens
Gepubliceerd in:J Drug Assess
Hoofdauteurs: Carrell, David S., Albertson-Junkans, Ladia, Ramaprasan, Arvind, Scull, Grant, Mackwood, Matt, Johnson, Eric, Cronkite, David J., Baer, Andrew, Hansen, Kris, Green, Carla A., Hazlehurst, Brian L., Janoff, Shannon L., Coplan, Paul M., DeVeaugh-Geiss, Angela, Grijalva, Carlos G., Liang, Caihua, Enger, Cheryl L., Lange, Jane, Shortreed, Susan M., Von Korff, Michael
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Taylor & Francis 2020
Onderwerpen:
Pain Medicine
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7241518/
https://ncbi.nlm.nih.gov/pubmed/32489718
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/21556660.2020.1750419
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