Literature DB >> 19475792

Making effective use of predicted discharge dates to reduce the length of stay in hospital.

Melanie Webber-Maybank1, Helen Luton.   

Abstract

This article outlines an initiative by nursing staff in the elective orthopaedic department at Cardiff and Vale NHS Trust to improve discharge planning for all patients on the ward. It describes how renewed focus on the predicted discharge date among multidisciplinary teams and patients themselves increased the proportion of patients who went home by or before their target date and reduced the average length of stay.

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Year:  2009        PMID: 19475792

Source DB:  PubMed          Journal:  Nurs Times        ISSN: 0954-7762


  2 in total

1.  Understanding the Accuracy of Clinician Provided Estimated Discharge Dates.

Authors:  Olivia P Henry; Gen Li; Robert E Freundlich; Warren S Sandberg; Jonathan P Wanderer
Journal:  J Med Syst       Date:  2021-11-16       Impact factor: 4.920

2.  Delay in discharge and its impact on unnecessary hospital bed occupancy.

Authors:  Muhammad Umair Majeed; Dean Thomas Williams; Rachel Pollock; Farhat Amir; Martin Liam; Keen S Foong; Chris J Whitaker
Journal:  BMC Health Serv Res       Date:  2012-11-20       Impact factor: 2.655

  2 in total

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