RT Journal Article SR Electronic T1 Interventions to reduce acute paediatric hospital admissions: a systematic review JF Archives of Disease in Childhood JO Arch Dis Child FD BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health SP 304 OP 311 DO 10.1136/archdischild-2011-301214 VO 97 IS 4 A1 Jo Thompson Coon A1 Alice Martin A1 Abdul-Kareem Abdul-Rahman A1 Kate Boddy A1 Rebecca Whear A1 Andrew Collinson A1 Ken Stein A1 Stuart Logan YR 2012 UL http://adc.bmj.com/content/97/4/304.abstract AB Objective To compare the effectiveness of interventions aimed at reducing the rate of acute paediatric hospital admissions. Design Systematic review. Data sources 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. Review 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. Conclusion 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.