Association between day and time of admission to critical care and acute hospital outcome for unplanned admissions to adult general critical care units: cohort study exploring the ‘weekend effect’
File(s)Arulkumaran et al weekend effect published.pdf (304.84 KB)
Published version
Author(s)
Arulkumaran, N
Harrison, DA
Brett, SJ
Type
Journal Article
Abstract
Background. We aimed to identify any association between day and time of admission to critical care and acute hospital outcome.
Methods. We conducted a cohort study using prospectively collected data from the national clinical audit of adult critical care. We included 195 428 unplanned admissions from 212 adult general critical care units in England, Wales and Northern Ireland, between April 1, 2013 and March 31, 2015 in the analysis.
Results. Hourly admission rates for unplanned admissions varied more than three-fold during the 24 h cycle. Overall acute hospital mortality was 26.8%. Before adjustment, acute hospital mortality was similar between weekends and weekdays but was significantly lower for admissions at night compared with the daytime (−3.4%, −3.8 to −3.0%; P<0.001). After adjustment for casemix, there remained no difference between weekends and weekdays (−0.0%, −0.4 to +0.3%; P=0.87) or between nighttime and daytime (−0.2%, −0.5 to +0.1%; P=0.21). Delays in admission were reported for 4.3% of admissions and were slightly more common during weekdays than weekends and in the daytime than at night. Delayed admission was associated with a small increase in acute hospital mortality, but adjusting for this did not affect the estimates of the effect of day and time of admission.
Conclusions. The day of week and time of admission have no influence on patient mortality for unplanned admissions to adult general critical care units within the UK. Ways to improve critical care and hospital systems to minimize delays in admission and potentially improve outcomes need to be ascertained in future research.
Methods. We conducted a cohort study using prospectively collected data from the national clinical audit of adult critical care. We included 195 428 unplanned admissions from 212 adult general critical care units in England, Wales and Northern Ireland, between April 1, 2013 and March 31, 2015 in the analysis.
Results. Hourly admission rates for unplanned admissions varied more than three-fold during the 24 h cycle. Overall acute hospital mortality was 26.8%. Before adjustment, acute hospital mortality was similar between weekends and weekdays but was significantly lower for admissions at night compared with the daytime (−3.4%, −3.8 to −3.0%; P<0.001). After adjustment for casemix, there remained no difference between weekends and weekdays (−0.0%, −0.4 to +0.3%; P=0.87) or between nighttime and daytime (−0.2%, −0.5 to +0.1%; P=0.21). Delays in admission were reported for 4.3% of admissions and were slightly more common during weekdays than weekends and in the daytime than at night. Delayed admission was associated with a small increase in acute hospital mortality, but adjusting for this did not affect the estimates of the effect of day and time of admission.
Conclusions. The day of week and time of admission have no influence on patient mortality for unplanned admissions to adult general critical care units within the UK. Ways to improve critical care and hospital systems to minimize delays in admission and potentially improve outcomes need to be ascertained in future research.
Date Issued
2016-12-07
Date Acceptance
2016-11-04
Citation
British Journal of Anaesthesia, 2016, 118 (1), pp.112-122
ISSN
1471-6771
Publisher
Oxford University Press (OUP)
Start Page
112
End Page
122
Journal / Book Title
British Journal of Anaesthesia
Volume
118
Issue
1
Copyright Statement
© The Author 2016. Published by Oxford University Press on behalf of the British Journal of Anaesthesia.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
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Subjects
Science & Technology
Life Sciences & Biomedicine
Anesthesiology
critical care
delivery of health care
mortality
MIX-ADJUSTED MORTALITY
INTENSIVE-CARE
PATIENT OUTCOMES
ICU ADMISSION
RISK
METAANALYSIS
SPECIALIST
PATTERNS
COVER
1103 Clinical Sciences
Publication Status
Published