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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Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Biomed Res Int
Egile Nagusiak: Bellini, Irene, Barletta, Valentina, Profili, Francesco, Bussotti, Alessandro, Severi, Irene, Isoldi, Maddalena, Bimbi, Maria, Francesconi, Paolo
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Hindawi 2017
Gaiak:
Research Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC5523251/
https://ncbi.nlm.nih.gov/pubmed/28770229
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/9569348
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