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The weekend effect: does hospital mortality differ by day of the week? A systematic review and meta-analysis
BACKGROUND: The concept of a weekend effect, poorer outcomes for patients admitted to hospitals at the weekend is not new, but is the focus of debate in England. Many studies have been published which consider outcomes for patients on admitted at the weekend. This systematic review and meta-analysis...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245775/ https://www.ncbi.nlm.nih.gov/pubmed/30458758 http://dx.doi.org/10.1186/s12913-018-3688-3 |
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author | Honeyford, Kate Cecil, Elizabeth Lo, Michelle Bottle, Alex Aylin, Paul |
author_facet | Honeyford, Kate Cecil, Elizabeth Lo, Michelle Bottle, Alex Aylin, Paul |
author_sort | Honeyford, Kate |
collection | PubMed |
description | BACKGROUND: The concept of a weekend effect, poorer outcomes for patients admitted to hospitals at the weekend is not new, but is the focus of debate in England. Many studies have been published which consider outcomes for patients on admitted at the weekend. This systematic review and meta-analysis aims to estimate the effect of weekend admission on mortality in UK hospitals. METHODS: This is a systematic review and meta-analysis of published studies on the weekend effect in UK hospitals. We used EMBASE, MEDLINE, HMIC, Cochrane, Web of Science and Scopus to search for relevant papers. We included systematic reviews, randomised controlled trials and observational studies) on patients admitted to hospital in the UK and published after 2001. Our outcome was death; studies reporting mortality were included. Reviewers identified studies, extracted data and assessed the quality of the evidence, independently and in duplicate. Discrepancy in assessment was considered by a third reviewer. All meta-analyses were performed using a random-effects meta-regression to incorporate the heterogeneity into the weighting. RESULTS: Forty five articles were included in the qualitative synthesis. 53% of the articles concluded that outcomes for patients either undergoing surgery or admitted at the weekend were worse. We included 39 in the meta-analysis which contributed 57 separate analyses. We found an effect of 1.07 [odds ratio (OR)] (95%CI:1.03–1.12), suggesting that patients admitted at the weekend had higher odds of mortality than those admitted during the week. Sub-group analyses suggest that the weekend effect remained when measures of case mix severity were included in the models (OR:1.06 95%CI:1.02–1.10), but that the weekend effect was not significant when clinical registry data was used (OR:1.03 95%CI: 0.98–1.09). Heterogeneity was high, which may affect generalisability. CONCLUSIONS: Despite high levels of heterogeneity, we found evidence of a weekend effect in the UK, even after accounting for severity of disease. Further work is required to examine other potential explanations for the “weekend effect” such as staffing levels and other organisational factors. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews -registration number: CRD42016041225. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-018-3688-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6245775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62457752018-11-26 The weekend effect: does hospital mortality differ by day of the week? A systematic review and meta-analysis Honeyford, Kate Cecil, Elizabeth Lo, Michelle Bottle, Alex Aylin, Paul BMC Health Serv Res Research Article BACKGROUND: The concept of a weekend effect, poorer outcomes for patients admitted to hospitals at the weekend is not new, but is the focus of debate in England. Many studies have been published which consider outcomes for patients on admitted at the weekend. This systematic review and meta-analysis aims to estimate the effect of weekend admission on mortality in UK hospitals. METHODS: This is a systematic review and meta-analysis of published studies on the weekend effect in UK hospitals. We used EMBASE, MEDLINE, HMIC, Cochrane, Web of Science and Scopus to search for relevant papers. We included systematic reviews, randomised controlled trials and observational studies) on patients admitted to hospital in the UK and published after 2001. Our outcome was death; studies reporting mortality were included. Reviewers identified studies, extracted data and assessed the quality of the evidence, independently and in duplicate. Discrepancy in assessment was considered by a third reviewer. All meta-analyses were performed using a random-effects meta-regression to incorporate the heterogeneity into the weighting. RESULTS: Forty five articles were included in the qualitative synthesis. 53% of the articles concluded that outcomes for patients either undergoing surgery or admitted at the weekend were worse. We included 39 in the meta-analysis which contributed 57 separate analyses. We found an effect of 1.07 [odds ratio (OR)] (95%CI:1.03–1.12), suggesting that patients admitted at the weekend had higher odds of mortality than those admitted during the week. Sub-group analyses suggest that the weekend effect remained when measures of case mix severity were included in the models (OR:1.06 95%CI:1.02–1.10), but that the weekend effect was not significant when clinical registry data was used (OR:1.03 95%CI: 0.98–1.09). Heterogeneity was high, which may affect generalisability. CONCLUSIONS: Despite high levels of heterogeneity, we found evidence of a weekend effect in the UK, even after accounting for severity of disease. Further work is required to examine other potential explanations for the “weekend effect” such as staffing levels and other organisational factors. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews -registration number: CRD42016041225. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-018-3688-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-20 /pmc/articles/PMC6245775/ /pubmed/30458758 http://dx.doi.org/10.1186/s12913-018-3688-3 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Honeyford, Kate Cecil, Elizabeth Lo, Michelle Bottle, Alex Aylin, Paul The weekend effect: does hospital mortality differ by day of the week? A systematic review and meta-analysis |
title | The weekend effect: does hospital mortality differ by day of the week? A systematic review and meta-analysis |
title_full | The weekend effect: does hospital mortality differ by day of the week? A systematic review and meta-analysis |
title_fullStr | The weekend effect: does hospital mortality differ by day of the week? A systematic review and meta-analysis |
title_full_unstemmed | The weekend effect: does hospital mortality differ by day of the week? A systematic review and meta-analysis |
title_short | The weekend effect: does hospital mortality differ by day of the week? A systematic review and meta-analysis |
title_sort | weekend effect: does hospital mortality differ by day of the week? a systematic review and meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245775/ https://www.ncbi.nlm.nih.gov/pubmed/30458758 http://dx.doi.org/10.1186/s12913-018-3688-3 |
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