Detecting chronic kidney disease in population-based administrative databases using an algorithm of hospital encounter and physician claim codes

BACKGROUND: Large, population-based administrative healthcare databases can be used to identify patients with chronic kidney disease (CKD) when serum creatinine laboratory results are unavailable. We examined the validity of algorithms that used combined hospital encounter and physician claims datab...

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Detalles Bibliográficos
Autores principales: Fleet, Jamie L, Dixon, Stephanie N, Shariff, Salimah Z, Quinn, Robert R, Nash, Danielle M, Harel, Ziv, Garg, Amit X
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3637099/
https://www.ncbi.nlm.nih.gov/pubmed/23560464
http://dx.doi.org/10.1186/1471-2369-14-81

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3637099/
https://www.ncbi.nlm.nih.gov/pubmed/23560464
http://dx.doi.org/10.1186/1471-2369-14-81

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