title: Interventions to reduce acute paediatric hospital admissions: a systematic review.
abstract: OBJECTIVE
  To compare the effectiveness of interventions aimed at reducing the rate of acute paediatric hospital admissions.
  
  
  METHODS
  Systematic review.
  
  
  METHODS
  Medline, Embase, PsychINFO, The Cochrane Library, Science Citation Index Expanded from inception to September 2010; hand searches of the reference lists of included papers and other review papers identified in the search.
  
  
  METHODS
  Controlled trials were included. Articles were screened for inclusion independently by two reviewers. Data extraction and quality appraisal were performed by one reviewer and checked by a second with discrepancies resolved by discussion with a third if necessary.
  
  
  RESULTS
  Seven papers were included. There is some evidence to suggest that short stay units may reduce admission rates. However, there is a general lack of detail in the reporting of interventions and the methods used in their evaluation which precludes detailed interpretation and extrapolation of the results. The authors found no evidence that the use of algorithms and guidelines to manage the admission decision was effective in reducing acute admission rates. Furthermore, the authors were unable to locate any eligible papers reporting the effects on admission rates of admission decision by paediatric consultant, telephone triage by paediatric consultant or the establishment of next day emergency paediatric clinics.
  
  
  CONCLUSIONS
  There is little published evidence upon which to base an optimal strategy for reducing paediatric admission rates. The evidence that does exist is subject to substantial bias. There is a pressing need for high quality, well conducted research to enable informed service change.
authors.affiliation: PenCLAHRC, Peninsula College of Medicine and Dentistry, University of Exeter, Veysey Building, Salmon Pool Lane, Exeter, UK. jo.thompson-coon@pms.ac.uk
authors.forename: Jo Thompson
authors.initials: JT
authors.lastname: Coon
authors.forename: Alice
authors.initials: A
authors.lastname: Martin
authors.forename: Abdul-Kareem
authors.initials: AK
authors.lastname: Abdul-Rahman
authors.forename: Kate
authors.initials: K
authors.lastname: Boddy
authors.forename: Rebecca
authors.initials: R
authors.lastname: Whear
authors.forename: Andrew
authors.initials: A
authors.lastname: Collinson
authors.forename: Ken
authors.initials: K
authors.lastname: Stein
authors.forename: Stuart
authors.initials: S
authors.lastname: Logan
mesh_terms: D000465:Algorithms; D002648:Child; D002662:Child Health Services / Q000458:organization & administration*; D004630:Emergencies; D019317:Evidence-Based Medicine / Q000379:methods; D006757:Hospital Units; D006760:Hospitalization / Q000706:statistics & numerical data*; D006801:Humans; D007902:Length of Stay; D010343:Patient Admission / Q000706:statistics & numerical data