New Zealand’s emergency department target – did it reduce ED length of stay, and if so, how and when?
Author:
Funder
Health Research Council of New Zealand
Publisher
Springer Science and Business Media LLC
Subject
Health Policy
Link
http://link.springer.com/content/pdf/10.1186/s12913-017-2617-1.pdf
Reference56 articles.
1. Elder E, Johnston ANB, Crilly J. Review article: systematic review of three key strategies designed to improve patient flow through the emergency department. Emergency Medicine Australasia. 2015;27(5):394–404.
2. Mason S, Weber EJ, Coster J, Freeman J, Locker T. Time patients spend in the emergency department: England's 4-hour rule - a case of hitting the target but missing the point? Ann Emerg Med. 2012;59(5):341–9.
3. Richardson DB, Mountain D. Myths versus facts in emergency department overcrowding and hospital access block. Med J Aust. 2009;190(7):369–74.
4. Liew D, Liew D, Kennedy MP. Emergency department length of stay independently predicts excess inpatient length of stay. Med J Aust. 2003;179(10):524–6.
5. Pines J, Hollander J, Localio R, Metlay J. The association between emergency department crowding and hospital performance on antibiotic timing for pneumonia and percutaneous intervention for myocardial infarction. Acad Emerg Med. 2006;13(8):873.
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