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
Publicado en:Risk Manag Healthc Policy
Main Authors: Monterde, David, Cainzos-Achirica, Miguel, Cossio-Gil, Yolima, García-Eroles, Luis, Pérez-Sust, Pol, Arrufat, Miquel, Calle, Candela, Comin-Colet, Josep, Velasco, César
Formato: Artigo
Idioma:Inglês
Publicado: Dove 2020
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Original Research
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7125405/
https://ncbi.nlm.nih.gov/pubmed/32280290
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/RMHP.S228415
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