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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Dades bibliogràfiques
Publicat a:J Drug Assess
Autors principals: 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
Format: Artigo
Idioma:Inglês
Publicat: Taylor & Francis 2020
Matèries:
Pain Medicine
Accés en línia: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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