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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Pain Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241518/
https://www.ncbi.nlm.nih.gov/pubmed/32489718
http://dx.doi.org/10.1080/21556660.2020.1750419

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241518/
https://www.ncbi.nlm.nih.gov/pubmed/32489718
http://dx.doi.org/10.1080/21556660.2020.1750419

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