title: Emergency department crowding: towards an agenda for evidence-based intervention.
abstract: OBJECTIVE
  To determine the causes of emergency department (ED) crowding and to identify evidence-based solutions.
  
  
  METHODS
  The review used a 'conceptual synthesis' approach to identify knowledge and opinion around the issue of ED crowding, not just effective interventions. Recommendations from the literature were classified according the quality of evidence and the extent to which they were under ED control.
  
  
  METHODS
  SCOPUS and ISI were searched for studies of 'ED' AND 'crowding OR overcrowding' and backward citation retrieval was undertaken. To help identify systematic review evidence of effective interventions, the Cochrane Database, the National Institute of Health and Clinical Excellence (NICE) and NHS Evidence were searched. A Google search was included to identify relevant grey literature.
  
  
  METHODS
  Papers were included if they added to substantive knowledge of ED crowding. Empirical studies, studies from the UK and studies of physical space were privileged in the review.
  
  
  RESULTS
  There is an established international literature on ED crowding. It suggests consistently that crowding has significant negative consequences. However, the literature offers limited practical help to practitioners for a number of reasons, such as a lack of shared definition and measurement of crowding and lack of evaluation of interventions. Many studies are single case studies from the USA.
  
  
  CONCLUSIONS
  While current evidence is poor, this does not justify maintaining current practice which risks lives. Building up an evidence base is critical, but requires agreed definitions, measures and methods, which can be applied to systematic evaluation of plausible solutions.
authors.affiliation: Engineering Design Centre (EDC), University of Cambridge, Cambridge CB4 1YG, UK; zsm20@cam.ac.uk.
authors.forename: Zoë Slote
authors.initials: ZS
authors.lastname: Morris
authors.forename: Adrian
authors.initials: A
authors.lastname: Boyle
authors.forename: Kathleen
authors.initials: K
authors.lastname: Beniuk
authors.forename: Susan
authors.initials: S
authors.lastname: Robinson
mesh_terms: D003441:Crowding; D017598:Efficiency, Organizational; D004636:Emergency Service, Hospital / Q000458:organization & administration* / Q000706:statistics & numerical data; D019317:Evidence-Based Medicine; D006801:Humans; D007902:Length of Stay; D006113:United Kingdom