Identifying High-Cost, High-Risk Patients Using Administrative Databases in Tuscany, Italy

OBJECTIVE: (1) Assessing the performance of the algorithm in terms of sensitivity and positive predictive value, considering General Practitioners' (GPs) judgement as benchmark, and (2) describing adverse events (hospitalisation, death, and health services' consumption) of complex patients...

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Detalles Bibliográficos
Autores principales: Bellini, Irene, Barletta, Valentina, Profili, Francesco, Bussotti, Alessandro, Severi, Irene, Isoldi, Maddalena, Bimbi, Maria, Francesconi, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5523251/
https://www.ncbi.nlm.nih.gov/pubmed/28770229
http://dx.doi.org/10.1155/2017/9569348

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5523251/
https://www.ncbi.nlm.nih.gov/pubmed/28770229
http://dx.doi.org/10.1155/2017/9569348

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