Dataset Information

The weekend effect: does hospital mortality differ by day of the week? A systematic review and meta-analysis.

ABSTRACT: 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 50 separate analyses. We found an overall 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 .

SUBMITTER: Honeyford K

PROVIDER: S-EPMC6245775 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The weekend effect: does hospital mortality differ by day of the week? A systematic review and meta-analysis.

Honeyford Kate K Cecil Elizabeth E Lo Michelle M Bottle Alex A Aylin Paul P

BMC health services research 20181120 1

<h4>Background</h4>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.<h4>Methods</h4>This is a systematic review and meta-analysis of published studies on the weekend effect in UK hos ...[more]

PMID: 30458758

Similar Datasets

Project description:ObjectiveTo examine the magnitude of the weekend effect, defined as differences in patient outcomes between weekend and weekday hospital admissions, and factors influencing it.DesignA systematic review incorporating Bayesian meta-analyses and meta-regression.Data sourcesWe searched seven databases including MEDLINE and EMBASE from January 2000 to April 2015, and updated the MEDLINE search up to November 2017. Eligibility criteria: primary research studies published in peer-reviewed journals of unselected admissions (not focusing on specific conditions) investigating the weekend effect on mortality, adverse events, length of hospital stay (LoS) or patient satisfaction.ResultsFor the systematic review, we included 68 studies (70 articles) covering over 640?million admissions. Of these, two-thirds were conducted in the UK (n=24) or USA (n=22). The pooled odds ratio (OR) for weekend mortality effect across admission types was 1.16 (95% credible interval 1.10 to 1.23). The weekend effect appeared greater for elective (1.70, 1.08 to 2.52) than emergency (1.11, 1.06 to 1.16) or maternity (1.06, 0.89 to 1.29) admissions. Further examination of the literature shows that these estimates are influenced by methodological, clinical and service factors: at weekends, fewer patients are admitted to hospital, those who are admitted are more severely ill and there are differences in care pathways before and after admission. Evidence regarding the weekend effect on adverse events and LoS is weak and inconsistent, and that on patient satisfaction is sparse. The overall quality of evidence for inferring weekend/weekday difference in hospital care quality from the observed weekend effect was rated as 'very low' based on the Grading of Recommendations, Assessment, Development and Evaluations framework.ConclusionsThe weekend effect is unlikely to have a single cause, or to be a reliable indicator of care quality at weekends. Further work should focus on underlying mechanisms and examine care processes in both hospital and community.Prospero registration numberCRD42016036487.

Project description:Aim:To perform a systematic review and meta-analysis of the weekend effect on the mortality of patients with upper gastrointestinal bleeding(UGIB). Methods:The review protocol has been registered in the PROSPERO International Prospective Register of Systematic Reviews (registration number: CRD42017073313) and was written according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. We conducted a search of the PUBMED, COCHRANE, EMBASE and CINAHL databases from inception to August 2017. All observational studies comparing mortality between UGIB patients with weekend versus weekday admissions were included. Articles that were published only in abstract form or not published in a peer-reviewed journal were excluded. The quality of articles was assessed using the Newcastle-Ottawa Scale. We pooled results from the articles using random-effect models. Heterogeneity was evaluated by the chi-square-based Q-test and I2 test. To address heterogeneity, we performed sensitivity and subgroup analyses. Potential publication bias was assessed via funnel plot. Results:Eighteen observational cohort studies involving 1,232,083 study patients were included. Weekend admission was associated with significantly higher 30-day or in-hospital mortality in all studies (OR = 1.12, 95% CI [1.07-1.17], P < 0.00001). Increased in-hospital mortality was also associated with weekend admission (OR = 1.12, 95% CI [1.08-1.17], P < 0.00001). No significant difference in in-hospital mortality was observed between patients admitted with variceal bleeding during the weekend or on weekdays (OR = 0.99, 95% CI [0.91-1.08], P = 0.82); however, weekend admission was associated with a 15% increase in in-hospital mortality for patients with non-variceal bleeding (OR = 1.15, 95% CI [1.09-1.21], P < 0.00001). The time to endoscopy for weekday admission was significantly less than that obtained for weekend admission (MD = -2.50, 95% CI [-4.08--0.92], P = 0.002). Conclusions:The weekend effect is associated with increased mortality of UGIB patients, particularly in non-variceal bleeding. The timing of endoscopic intervention might be a factor that influences mortality of UGIB patients.

Project description:ImportanceReducing early (<30 days) hospital readmissions is a policy priority aimed at improving health care quality. The cumulative complexity model conceptualizes patient context. It predicts that highly supportive discharge interventions will enhance patient capacity to enact burdensome self-care and avoid readmissions.ObjectiveTo synthesize the evidence of the efficacy of interventions to reduce early hospital readmissions and identify intervention features--including their impact on treatment burden and on patients' capacity to enact postdischarge self-care--that might explain their varying effects.Data sourcesWe searched PubMed, Ovid MEDLINE, Ovid EMBASE, EBSCO CINAHL, and Scopus (1990 until April 1, 2013), contacted experts, and reviewed bibliographies.Study selectionRandomized trials that assessed the effect of interventions on all-cause or unplanned readmissions within 30 days of discharge in adult patients hospitalized for a medical or surgical cause for more than 24 hours and discharged to home.Data extraction and synthesisReviewer pairs extracted trial characteristics and used an activity-based coding strategy to characterize the interventions; fidelity was confirmed with authors. Blinded to trial outcomes, reviewers noted the extent to which interventions placed additional work on patients after discharge or supported their capacity for self-care in accordance with the cumulative complexity model.Main outcomes and measuresRelative risk of all-cause or unplanned readmission with or without out-of-hospital deaths at 30 days postdischarge.ResultsIn 42 trials, the tested interventions prevented early readmissions (pooled random-effects relative risk, 0.82 [95% CI, 0.73-0.91]; P < .001; I² = 31%), a finding that was consistent across patient subgroups. Trials published before 2002 reported interventions that were 1.6 times more effective than those tested later (interaction P = .01). In exploratory subgroup analyses, interventions with many components (interaction P = .001), involving more individuals in care delivery (interaction P = .05), and supporting patient capacity for self-care (interaction P = .04) were 1.4, 1.3, and 1.3 times more effective than other interventions, respectively. A post hoc regression model showed incremental value in providing comprehensive, postdischarge support to patients and caregivers.Conclusions and relevanceTested interventions are effective at reducing readmissions, but more effective interventions are complex and support patient capacity for self-care. Interventions tested more recently are less effective.

Project description:BackgroundMitraClip (MC) implantation is the recommended treatment for severe symptomatic mitral regurgitation in patients not responding to medical therapy and at prohibitive surgical risk. It is important to quantify immediate mortality during postdischarge-to-30-day period so as to improve the procedural outcomes. Hence, we aim to identify the incidence of postdischarge-to-30-day mortality and its associated predictors using the technique of meta-analysis.MethodsWe searched Medline, Embase, and Cochrane CENTRAL databases from inception until July 3, 2019 for studies reporting mortality prior to discharge, at 30 days and 1 year after MC implantation. The primary outcome was postdischarge-to-30-day all-cause mortality.ResultsOf 2394 references, 15 studies enrolling 7498 patients were included. Random effects analysis showed that all-cause cumulative inpatient, 30-day, and 1-year mortality was 2.40% (2.08, 2.77; I2 = 0%), 4.31% (3.64, 5.09, I2 = 41.9%), and 20.71% (18.32; 23.33, I2 = 81.5%), respectively. The postdischarge-to-30-day mortality was 1.70% (95% confidence interval: 1.0, 2.70; I2 = 84%). A total of 71.50% of deaths (95% confidence interval: 36.80-91.50, I2 = 63%) in the postdischarge-to-30-day period were due to cardiac etiology. On meta-regression, pre-MC left ventricular ejection fraction (p = 0.003), Log.Euroscore (p = 0.047), Society of Thoracic Surgeons Predicted Risk of Mortality (p < 0.001), and prolonged ventilation >48 hours (p < 0.001) were found to be its significant predictors.ConclusionsOur meta-analysis reports an additional mortality of ∼2% immediately after MC implantation during the postdischarge-to-30-day period. Majority of deaths occurred due to cardiac causes. Pre-MC left ventricular ejection fraction, Log.Euroscore, Society of Thoracic Surgeons Predicted Risk of Mortality score, and prolonged ventilation were found to be its significant predictors. Further studies are needed to better understand the causes of this early mortality to maximize benefits of this important therapy.

Dataset Information

The weekend effect: does hospital mortality differ by day of the week? A systematic review and meta-analysis.

Publications

The weekend effect: does hospital mortality differ by day of the week? A systematic review and meta-analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets