Literature DB >> 16119489

The costs of caring for patients in a tertiary referral Australian Intensive Care Unit.

I J Rechner1, J Lipman.   

Abstract

We determined the direct cost of an Intensive Care Unit (ICU) bed in a tertiary referral Australian ICU and the cost drivers thereof, by retrospectively analysing a number of prospectively designed Hospital- and Unit-specific electronic databases. The study period was a financial year, from 1 July 2002 to 30 June 2003. There were 1615 patients occupying 5692 fractional occupied bed days at a total cost of A dollar 15,915,964, with an average length of stay of 3.69 days (range 0.5-77, median 1.06, interquartile range 2.33). The main cost driver not incorporated into this analysis was blood products (paid for centrally). The average costs of an ICU day and total stay per patient were A dollar 2670 and A dollar 9852 respectively. Staff-related charges were 68.76%, with consumables related expenditure making up 19.65%, clinical support services 9.55% and capital equipment 2.04%. Overtime charges and nursing agency staff were 19.4% of staff-related charges (2.9% for agency staff), 3.9% lower than expenditure associated with full-time employment charges, such as pension and leave. The emergency nature of ICU means it is difficult to accurately set a nursing establishment to cater for all admissions and therefore it is hard to decide what is an acceptable percentage difference between agency/overtime costs compared with the costs associated with full-time staff appointments. Consumable expenditure is likely to increase the most with new innovation and therapies. Using protocol driven practices may tighten and control costs incurred in ICU.

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Year:  2005        PMID: 16119489     DOI: 10.1177/0310057X0503300409

Source DB:  PubMed          Journal:  Anaesth Intensive Care        ISSN: 0310-057X            Impact factor:   1.669


  17 in total

1.  Health technology assessment in critical care.

Authors:  Damon C Scales; Andreas Laupacis
Journal:  Intensive Care Med       Date:  2007-10-20       Impact factor: 17.440

Review 2.  Economics of ICU organization and management.

Authors:  Hannah Wunsch; Hayley Gershengorn; Damon C Scales
Journal:  Crit Care Clin       Date:  2011-10-22       Impact factor: 3.598

3.  [Cost of intensive care in a German hospital: cost-unit accounting based on the InEK matrix].

Authors:  J Martin; C Neurohr; M Bauer; M Weiss; A Schleppers
Journal:  Anaesthesist       Date:  2008-05       Impact factor: 1.041

4.  Cost-effectiveness of a central venous catheter care bundle.

Authors:  Kate A Halton; David Cook; David L Paterson; Nasia Safdar; Nicholas Graves
Journal:  PLoS One       Date:  2010-09-17       Impact factor: 3.240

5.  Predicting ICU admissions from attempted suicide presentations at an Emergency Department in Central Queensland.

Authors:  Xaviour Walker; Joon Lee; Lidia Koval; Alana Kirkwood; Jessica Taylor; Justin Gibbs; Samantha Ng; Lynne Steele; Peter Thompson; Leo Anthony Celi
Journal:  Australas Med J       Date:  2013-11-30

6.  The increased risks of death and extra lengths of hospital and ICU stay from hospital-acquired bloodstream infections: a case-control study.

Authors:  Adrian G Barnett; Katie Page; Megan Campbell; Elizabeth Martin; Rebecca Rashleigh-Rolls; Kate Halton; David L Paterson; Lisa Hall; Nerina Jimmieson; Katherine White; Nicholas Graves
Journal:  BMJ Open       Date:  2013-10-31       Impact factor: 2.692

7.  Health system costs of rheumatic heart disease care in South Africa.

Authors:  Assegid G Hellebo; Liesl J Zuhlke; David A Watkins; Olufunke Alaba
Journal:  BMC Public Health       Date:  2021-07-03       Impact factor: 3.295

8.  A German national prevalence study on the cost of intensive care: an evaluation from 51 intensive care units.

Authors:  Onnen Moerer; Enno Plock; Uchenna Mgbor; Alexandra Schmid; Heinz Schneider; Manfred Bernd Wischnewsky; Hilmar Burchardi
Journal:  Crit Care       Date:  2007       Impact factor: 9.097

9.  Cost effectiveness of antimicrobial catheters in the intensive care unit: addressing uncertainty in the decision.

Authors:  Kate A Halton; David A Cook; Michael Whitby; David L Paterson; Nicholas Graves
Journal:  Crit Care       Date:  2009-03-11       Impact factor: 9.097

10.  A new methodology for assessment of the performance of heartbeat classification systems.

Authors:  John M Darrington; Livia C Hool
Journal:  BMC Med Inform Decis Mak       Date:  2008-01-30       Impact factor: 2.796

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