An overview of risk prediction models and the implications for nursing practice-Reference-Cited by-同舟云学术

An overview of risk prediction models and the implications for nursing practice

Published:2012-06 Issue:6 Volume:7 Page:259-265
ISSN:1749-6403
Container-title:British Journal of Cardiac Nursing
language:en
Short-container-title:British Journal of Cardiac Nursing

Author:

Betihavas Vasiliki¹,Newton Phillip J²,Davidson Patricia M³

Affiliation:

1. Curtin Health Innovation Research Institute, Curtin University, Australia, and Lecturer, School of Nursing & Midwifery, University of Western Sydney, Locked Bag 1797, Penrith South DC NSW 1797, Australia

2. Centre for Cardiovascular & Chronic Care, Faculty of Nursing Midwifery & Health, University of Technology Sydney

3. Cardiovascular & Chronic Care, Centre for Cardiovascular & Chronic Care, Faculty of Nursing Midwifery & Health, University of Technology and Professor of Cardiovascular Nursing Research, St Vincent's Hospital, Sydney.

Publisher

Mark Allen Group

Subject

General Medicine

Link

http://www.magonlinelibrary.com/doi/pdf/10.12968/bjca.2012.7.6.259

Reference56 articles.

1. Characteristics and outcomes of patients hospitalized for heart failure in the United States: Rationale, design, and preliminary observations from the first 100,000 cases in the Acute Decompensated Heart Failure National Registry (ADHERE)

2. An Automated Model to Identify Heart Failure Patients at Risk for 30-Day Readmission or Death Using Electronic Medical Record Data

3. Australia's health care reform agenda: Implications for the nurses’ role in chronic heart failure management

4. Improving Primary Care for Patients With Chronic Illness

5. Noncardiac comorbidity increases preventable hospitalizations and mortality among medicare beneficiaries with chronic heart failure