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The impact of emergency department segmentation and nursing staffing increase on inpatient mortality and management times

Overview of attention for article published in BMC Health Services Research, July 2016
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Title
The impact of emergency department segmentation and nursing staffing increase on inpatient mortality and management times
Published in
BMC Health Services Research, July 2016
DOI 10.1186/s12913-016-1544-x
Pubmed ID
Authors

Pierre-Géraud Claret, Xavier Bobbia, Sylvia Olive, Christophe Demattei, Justin Yan, Robert Cohendy, Paul Landais, Jean Emmanuel de la Coussaye

Abstract

The aim of our study was to investigate the impact of a new organization of our emergency department (ED) on patients' mortality and management delays. The ED segmentation consisted of the development of a new patient care geographical layout on a pre-existing site and changing the organization of patient flow. It took place on May 10, 2012. We did a before-after study in the ED of a university hospital, "before" (winter 2012) and "after" (summer 2012) reorganization by segmentation into sectors. All ED patients were included. Eighty-three thousand three hundred twenty-two patient visits were analyzed, 61,118 in phase "before", 22,204 during the phase "after". The overall inpatient mortality was 1.5 % during summer 2011 ("before" period), 1.8 % during winter 2012 ("before" period), 1.3 % during summer 2012 ("after" period) period (summer 2012 vs. winter 2012, OR = 0.72; 95 % CIs [0.61, 0.85], and summer 2012 vs. summer 2011, OR = 0.85; 95 % CIs [0.72, 0.99]). The mean (SD) time to first medical contact was 129 min (±133) during winter 2012 and 104 min (± 95) during summer 2012 (p < .05). Our study showed a decrease in mortality and improvement in time to first medical contact after the segmentation of our ED and nursing staffing increase, without an increase in medical personnel. Improving patient care through optimizing ED segmentation may be an effective strategy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 34%
Student > Ph. D. Student 5 14%
Researcher 3 9%
Professor > Associate Professor 3 9%
Student > Bachelor 2 6%
Other 6 17%
Unknown 4 11%
Readers by discipline Count As %
Nursing and Health Professions 9 26%
Medicine and Dentistry 8 23%
Engineering 3 9%
Business, Management and Accounting 2 6%
Economics, Econometrics and Finance 1 3%
Other 3 9%
Unknown 9 26%