Risk-adjustment models for heart failure patients’ 30-day mortality and readmission rates: the incremental value of clinical data abstracted from medical charts beyond hospital discharge record-Reference-Cited by-同舟云学术

Risk-adjustment models for heart failure patients’ 30-day mortality and readmission rates: the incremental value of clinical data abstracted from medical charts beyond hospital discharge record

Published:2016-09-06 Issue:1 Volume:16 Page:
ISSN:1472-6963
Container-title:BMC Health Services Research
language:en
Short-container-title:BMC Health Serv Res

Author:

Lenzi Jacopo,Avaldi Vera Maria,Hernandez-Boussard Tina,Descovich Carlo,Castaldini Ilaria,Urbinati Stefano,Di Pasquale Giuseppe,Rucci Paola,Fantini Maria Pia

Publisher

Springer Science and Business Media LLC

Subject

Health Policy

Link

http://link.springer.com/content/pdf/10.1186/s12913-016-1731-9.pdf

Reference45 articles.

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2. Takeda A, Taylor SJC, Taylor RS, Khan F, Krum H, Underwood M. Clinical service organisation for heart failure. Cochrane Database Syst Rev. 2012;9:CD002752.

3. Groene O, Skau JK, Frølich A. An international review of projects on hospital performance assessment. Int J Qual Health Care. 2008;20:162–71.

4. Sasaki N, Lee J, Park S, Umegaki T, Kunisawa S, Otsubo T, et al. Development and validation of an acute heart failure-specific mortality predictive model based on administrative data. Can J Cardiol. 2013;29:1055–61.

5. Krumholz HM, Wang Y, Mattera JA, Wang Y, Han LF, Ingber MJ, et al. An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with heart failure. Circulation. 2006;113:1693–701.

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