Cargando…
Changes in postoperative opioid prescribing across three diverse healthcare systems, 2010–2020
OBJECTIVE: The opioid crisis brought scrutiny to opioid prescribing. Understanding how opioid prescribing patterns and corresponding patient outcomes changed during the epidemic is essential for future targeted policies. Many studies attempt to model trends in opioid prescriptions therefore understa...
Autores principales: | Coquet, Jean, Zammit, Alban, Hajouji, Oualid El, Humphreys, Keith, Asch, Steven M., Osborne, Thomas F., Curtin, Catherine M., Hernandez-Boussard, Tina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763443/ https://www.ncbi.nlm.nih.gov/pubmed/36561925 http://dx.doi.org/10.3389/fdgth.2022.995497 |
Ejemplares similares
-
Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management
por: Zammit, Alban, et al.
Publicado: (2023) -
Prediction of opioid-related outcomes in a medicaid surgical population: Evidence to guide postoperative opiate therapy and monitoring
por: El Hajouji, Oualid, et al.
Publicado: (2023) -
Prescription quantity and duration predict progression from acute to chronic opioid use in opioid-naïve Medicaid patients
por: Johnson, Drake G., et al.
Publicado: (2022) -
Predicting inadequate postoperative pain management in depressed patients: A machine learning approach
por: Parthipan, Arjun, et al.
Publicado: (2019) -
Using deep learning-based natural language processing to identify reasons for statin nonuse in patients with atherosclerotic cardiovascular disease
por: Sarraju, Ashish, et al.
Publicado: (2022)