Literature DB >> 15525255

Delayed discharges from an adult intensive care unit.

Teresa Williams1, Gavin Leslie.   

Abstract

OBJECTIVE: Intensive Care Unit (ICU) services are expensive, and therefore appropriate utilisation is imperative. Delayed discharges impact on the efficiency and effectiveness of ICU services. This study examines the prevalence and reasons for delayed discharge.
METHOD: Cross sectional study. We enrolled a prospective sample of all patients admitted to a 22-bed ICU over a 6-month period. Medical staff in ICU informed nursing shift coordinators when patients could be discharged. Nursing shift coordinators maintained a record of discharge times, delays and reasons for delay. Discharge was considered delayed if the patient was not relocated from the ICU within 8 hours of being considered eligible by ICU medical staff.
RESULTS: Of 652 recorded discharges, 176 were delayed (27%). Unavailable ward beds (81%) were cited as the main reason for delay in discharge. Median delay time was 21.3 hours (range, 10 minutes to 26 days). These delays were predicted by greater patient acuity on ICU admission, patient deterioration while waiting for transfer to the ward, principal admitting diagnosis, discharge destination and weekend discharge.
CONCLUSION: Improvement in bed management and discharge processes (the only factors directly controllable by the hospital) is essential to reduce delays in discharge from ICU. Reducing discharge delays would free up beds for other admissions; may result in a cost saving for the hospital through more efficient resource utilisation; and, ultimately, would benefit patients.

Entities:  

Mesh:

Year:  2004        PMID: 15525255     DOI: 10.1071/ah040087

Source DB:  PubMed          Journal:  Aust Health Rev        ISSN: 0156-5788            Impact factor:   1.990


  12 in total

1.  Transfer Delays From the Neurologic Intensive Care Unit: A Prospective Cohort Study.

Authors:  Nicholas A Morris; Ayush Batra; Alessandro Biffi; Adam B Cohen
Journal:  Neurohospitalist       Date:  2015-09-08

2.  Adverse events experienced while transferring the critically ill patient from the emergency department to the intensive care unit.

Authors:  L Gillman; G Leslie; T Williams; K Fawcett; R Bell; V McGibbon
Journal:  Emerg Med J       Date:  2006-11       Impact factor: 2.740

3.  Using probabilistic patient flow modelling helps generate individualised intensive care unit operational predictions and improved understanding of current organisational behaviours.

Authors:  George Hadjipavlou; Jill Titchell; Christina Heath; Richard Siviter; Hilary Madder
Journal:  J Intensive Care Soc       Date:  2019-09-05

4.  Patient, family and provider experiences with transfers from intensive care unit to hospital ward: a multicentre qualitative study.

Authors:  Chloe de Grood; Jeanna Parsons Leigh; Sean M Bagshaw; Peter M Dodek; Robert A Fowler; Alan J Forster; Jamie M Boyd; Henry T Stelfox
Journal:  CMAJ       Date:  2018-06-04       Impact factor: 8.262

5.  Delay of transfer from the intensive care unit: a prospective observational study of incidence, causes, and financial impact.

Authors:  Daniel W Johnson; Ulrich H Schmidt; Edward A Bittner; Benjamin Christensen; Retsef Levi; Richard M Pino
Journal:  Crit Care       Date:  2013-07-04       Impact factor: 9.097

Review 6.  Association between time of discharge from ICU and hospital mortality: a systematic review and meta-analysis.

Authors:  Si Yang; Zheng Wang; Zhida Liu; Jinlai Wang; Lijun Ma
Journal:  Crit Care       Date:  2016-12-01       Impact factor: 9.097

7.  Intensive care discharge delay is associated with increased hospital length of stay: A multicentre prospective observational study.

Authors:  Ravindranath Tiruvoipati; John Botha; Jason Fletcher; Himangsu Gangopadhyay; Mainak Majumdar; Sanjiv Vij; Eldho Paul; David Pilcher
Journal:  PLoS One       Date:  2017-07-27       Impact factor: 3.240

8.  Using the National Early Warning Score (NEWS/NEWS 2) in different Intensive Care Units (ICUs) to predict the discharge location of patients.

Authors:  Hassan Zaidi; Mohamed Bader-El-Den; James McNicholas
Journal:  BMC Public Health       Date:  2019-09-05       Impact factor: 3.295

Review 9.  An Integrative Literature Review of Organisational Factors Associated with Admission and Discharge Delays in Critical Care.

Authors:  Laura-Maria Peltonen; Louise McCallum; Eriikka Siirala; Marjaana Haataja; Heljä Lundgrén-Laine; Sanna Salanterä; Frances Lin
Journal:  Biomed Res Int       Date:  2015-10-19       Impact factor: 3.411

10.  The association between outcome-based quality indicators for intensive care units.

Authors:  Ilona W M Verburg; Evert de Jonge; Niels Peek; Nicolette F de Keizer
Journal:  PLoS One       Date:  2018-06-13       Impact factor: 3.240

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