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Associations between stroke mortality and weekend working by stroke specialist physicians and registered nurses: prospective multicentre cohort study.

Bray, BD; Ayis, S; Campbell, J; Cloud, GC; James, M; Hoffman, A; Tyrrell, PJ; Wolfe, CDA; Rudd, AG (2014) Associations between stroke mortality and weekend working by stroke specialist physicians and registered nurses: prospective multicentre cohort study. PLoS Medicine, 11 (8). ISSN 1549-1676 https://doi.org/10.1371/journal.pmed.1001705
SGUL Authors: Cloud, Geoffrey Christopher

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Abstract

BACKGROUND: Observational studies have reported higher mortality for patients admitted on weekends. It is not known whether this "weekend effect" is modified by clinical staffing levels on weekends. We aimed to test the hypotheses that rounds by stroke specialist physicians 7 d per week and the ratio of registered nurses to beds on weekends are associated with mortality after stroke. METHODS AND FINDINGS: We conducted a prospective cohort study of 103 stroke units (SUs) in England. Data of 56,666 patients with stroke admitted between 1 June 2011 and 1 December 2012 were extracted from a national register of stroke care in England. SU characteristics and staffing levels were derived from cross-sectional survey. Cox proportional hazards models were used to estimate hazard ratios (HRs) of 30-d post-admission mortality, adjusting for case mix, organisational, staffing, and care quality variables. After adjusting for confounders, there was no significant difference in mortality risk for patients admitted to a stroke service with stroke specialist physician rounds fewer than 7 d per week (adjusted HR [aHR] 1.04, 95% CI 0.91-1.18) compared to patients admitted to a service with rounds 7 d per week. There was a dose-response relationship between weekend nurse/bed ratios and mortality risk, with the highest risk of death observed in stroke services with the lowest nurse/bed ratios. In multivariable analysis, patients admitted on a weekend to a SU with 1.5 nurses/ten beds had an estimated adjusted 30-d mortality risk of 15.2% (aHR 1.18, 95% CI 1.07-1.29) compared to 11.2% for patients admitted to a unit with 3.0 nurses/ten beds (aHR 0.85, 95% CI 0.77-0.93), equivalent to one excess death per 25 admissions. The main limitation is the risk of confounding from unmeasured characteristics of stroke services. CONCLUSIONS: Mortality outcomes after stroke are associated with the intensity of weekend staffing by registered nurses but not 7-d/wk ward rounds by stroke specialist physicians. The findings have implications for quality improvement and resource allocation in stroke care. Please see later in the article for the Editors' Summary.

Item Type: Article
Additional Information: © 2014 Bray et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: Aged, Aged, 80 and over, Cohort Studies, England, Female, Hospital Mortality, Humans, Male, Middle Aged, Multivariate Analysis, Nurses, Personnel Staffing and Scheduling, Physicians, Proportional Hazards Models, Prospective Studies, Stroke, Time Factors, Humans, Hospital Mortality, Multivariate Analysis, Proportional Hazards Models, Cohort Studies, Prospective Studies, Time Factors, Aged, Aged, 80 and over, Middle Aged, Nurses, Physicians, Personnel Staffing and Scheduling, England, Female, Male, Stroke, General & Internal Medicine, 11 Medical And Health Sciences
SGUL Research Institute / Research Centre: Academic Structure > Institute of Medical & Biomedical Education (IMBE)
Academic Structure > Institute of Medical & Biomedical Education (IMBE) > Centre for Clinical Education (INMECE )
Journal or Publication Title: PLoS Medicine
Article Number: e1001705
ISSN: 1549-1676
Language: eng
Dates:
DateEvent
19 August 2014Published
10 July 2014Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
UNSPECIFIEDDepartment of Healthhttp://dx.doi.org/10.13039/501100000276
PubMed ID: 25137386
Go to PubMed abstract
URI: http://sgultest.da.ulcc.ac.uk/id/eprint/108061
Publisher's version: https://doi.org/10.1371/journal.pmed.1001705

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