Machine learning nonresponse adjustment of patient-reported opioid consumption data to enable consumption-informed postoperative opioid prescribing guidelines

BACKGROUND: Post-discharge opioid consumption is a crucial patient-reported outcome informing opioid prescribing guidelines, but its collection is resource-intensive and vulnerable to inaccuracy due to nonresponse bias. METHODS: We developed a post-discharge text message-to-web survey system for eff...

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Detalles Bibliográficos
Autores principales: Kennedy, Chris J., Marwaha, Jayson S., Beaulieu-Jones, Brendin R., Scalise, P. Nina, Robinson, Kortney A., Booth, Brandon, Fleishman, Aaron, Nathanson, Larry A., Brat, Gabriel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675048/
https://www.ncbi.nlm.nih.gov/pubmed/36407783
http://dx.doi.org/10.1016/j.sipas.2022.100098

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675048/
https://www.ncbi.nlm.nih.gov/pubmed/36407783
http://dx.doi.org/10.1016/j.sipas.2022.100098

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