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FINGER (Forming and Identifying New Groups of Expected Risks): developing and validating a new predictive model to identify patients with high healthcare cost and at risk of admission

Authors

  • Juan F Orueta Centro de Salud de Astrabudua (Primary Health Care Center of Astrabudua), OSI Uribe, Osakidetza (Basque Health Service), Erandio, Spain PubMed articlesGoogle scholar articles
  • Arturo García-Alvarez Primary Care Research Unit-Bizkaia, Osakidetza, Bilbao, Spain PubMed articlesGoogle scholar articles
  • Juan J Aurrekoetxea Department of Preventative Medicine and Public Health, University of the Basque Country (UPV/EHU), Bizkaia, Spain Biodonostia Health Research Institute, San Sebastian, Spain Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain PubMed articlesGoogle scholar articles
  • Manuel García-Goñi Department of Applied and Structural Economics & History, Faculty of Economics and Business, Universidad Complutense de Madrid, Madrid, Spain PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Juan F Orueta; jon.orueta{at}osakidetza.net
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Citation

Orueta JF, García-Alvarez A, Aurrekoetxea JJ, et al
FINGER (Forming and Identifying New Groups of Expected Risks): developing and validating a new predictive model to identify patients with high healthcare cost and at risk of admission
BMJ Open 2018;8:e019830. doi: 10.1136/bmjopen-2017-019830

Publication history

  • Received September 28, 2017
  • Revised February 26, 2018
  • Accepted April 18, 2018
  • First published May 31, 2018.
Online issue publication 
May 31, 2018
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© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/