title: Weekend mortality for emergency admissions. A large, multicentre study.
abstract: BACKGROUND
  Several studies have identified higher mortality for patients admitted as emergencies at the weekend compared with emergency admissions during the week, but most have focused on specific conditions or have had a limited sample size.
  
  
  METHODS
  Using routinely collected hospital administrative data, we examined in-hospital deaths for all emergency inpatient admissions to all public acute hospitals in England for 2005/2006. Odds of death were calculated for admissions at the weekend compared to admissions during the week, adjusted for age, sex, socioeconomic deprivation, comorbidity and diagnosis.
  
  
  RESULTS
  Of a total of 4,317,866 emergency admissions, we found 215,054 in-hospital deaths with an overall crude mortality rate of 5.0% (5.2% for all weekend admissions and 4.9% for all weekday admissions). The overall adjusted odds of death for all emergency admissions was 10% higher (OR 1.10, 95% CI 1.08 to 1.11) in those patients admitted at the weekend compared with patients admitted during a weekday (p<0.001).
  
  
  CONCLUSIONS
  This is the largest study published on weekend mortality and highlights an area of concern in relation to the delivery of acute services.
authors.affiliation: Dr Foster Unit at Imperial College, Department of Primary Care and Social Medicine, Imperial College London, London SW7 2AZ, UK. p.aylin@imperial.ac.uk
authors.forename: Paul
authors.initials: P
authors.lastname: Aylin
authors.forename: A
authors.initials: A
authors.lastname: Yunus
authors.forename: A
authors.initials: A
authors.lastname: Bottle
authors.forename: A
authors.initials: A
authors.lastname: Majeed
authors.forename: D
authors.initials: D
authors.lastname: Bell
mesh_terms: D015897:Comorbidity; D004636:Emergency Service, Hospital / Q000592:standards* / Q000706:statistics & numerical data*; D004739:England; D017052:Hospital Mortality; D006779:Hospitals, Public / Q000592:standards / Q000706:statistics & numerical data; D006801:Humans; D010343:Patient Admission / Q000706:statistics & numerical data*; D012307:Risk Factors; D012959:Socioeconomic Factors; D013997:Time Factors