Performance of Comprehensive Risk Adjustment for the Prediction of In-Hospital Events Using Administrative Healthcare Data: The Queralt Indices

BACKGROUND: Accurate risk adjustment is crucial for healthcare management and benchmarking. PURPOSE: We aimed to compare the performance of classic comorbidity functions (Charlson’s and Elixhauser’s), of the All Patients Refined Diagnosis Related Groups (APR-DRG), and of the Queralt Indices, a famil...

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Detalles Bibliográficos
Autores principales: Monterde, David, Cainzos-Achirica, Miguel, Cossio-Gil, Yolima, García-Eroles, Luis, Pérez-Sust, Pol, Arrufat, Miquel, Calle, Candela, Comin-Colet, Josep, Velasco, César
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125405/
https://www.ncbi.nlm.nih.gov/pubmed/32280290
http://dx.doi.org/10.2147/RMHP.S228415

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125405/
https://www.ncbi.nlm.nih.gov/pubmed/32280290
http://dx.doi.org/10.2147/RMHP.S228415

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