Literature DB >> 20123762

Quantifying variation of paediatric length of stay among intensive care units in Australia and New Zealand.

Lahn Straney1, Archie Clements, Jan Alexander, Anthony Slater.   

Abstract

OBJECTIVE: To quantify variation of mean paediatric length of stay (LoS) among intensive care units (ICUs) in Australia and New Zealand.
METHOD: Retrospective data from Australian and New Zealand institutions that admitted children to ICU were analysed. The data were collected between 1997 and 2006, providing a total of 123 institution years of data (an average of 6.15 years per site). Using 47,068 admissions, LoS was modelled as the outcome variable of a Γ regression with a child's risk factors entered as fixed effects (allowing adjustment for case mix) and variation among ICUs modelled using a random effect.
RESULTS: Six Australasian ICUs had an average risk-adjusted LoS for children, which was significantly shorter than average, whereas five had an average LoS that was significantly longer than average. The remaining nine sites had average LoS that were not significantly different from the average (at the 95% level). Among other risk factors, previous admission to an ICU and respiratory support within the first hour of admission were both associated with prolonged LoS.
CONCLUSION: There was significant variation in paediatric LoS at the ICU level not accounted for by patient case-mix. This has important implications for efficiency of ICU processes and, possibly, other components of quality of patient care in those institutions with longer LoS.

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Year:  2010        PMID: 20123762     DOI: 10.1136/qshc.2008.028811

Source DB:  PubMed          Journal:  Qual Saf Health Care        ISSN: 1475-3898


  8 in total

1.  Measuring efficiency in Australian and New Zealand paediatric intensive care units.

Authors:  Lahn D Straney; Archie Clements; Jan Alexander; Anthony Slater
Journal:  Intensive Care Med       Date:  2010-05-26       Impact factor: 17.440

2.  A two-compartment mixed-effects gamma regression model for quantifying between-unit variability in length of stay among children admitted to intensive care.

Authors:  Lahn Straney; Archie Clements; Jan Alexander; Anthony Slater
Journal:  Health Serv Res       Date:  2012-05-17       Impact factor: 3.402

3.  PICU Length of Stay: Factors Associated With Bed Utilization and Development of a Benchmarking Model.

Authors:  Murray M Pollack; Richard Holubkov; Ron Reeder; J Michael Dean; Kathleen L Meert; Robert A Berg; Christopher J L Newth; John T Berger; Rick E Harrison; Joseph Carcillo; Heidi Dalton; David L Wessel; Tammara L Jenkins; Robert Tamburro
Journal:  Pediatr Crit Care Med       Date:  2018-03       Impact factor: 3.624

Review 4.  Existing data analysis in pediatric critical care research.

Authors:  Tellen D Bennett; Michael C Spaeder; Renée I Matos; R Scott Watson; Katri V Typpo; Robinder G Khemani; Sheri Crow; Brian D Benneyworth; Ravi R Thiagarajan; J Michael Dean; Barry P Markovitz
Journal:  Front Pediatr       Date:  2014-07-29       Impact factor: 3.418

5.  Modelling risk-adjusted variation in length of stay among Australian and New Zealand ICUs.

Authors:  Lahn D Straney; Andrew A Udy; Aidan Burrell; Christoph Bergmeir; Sue Huckson; D James Cooper; David V Pilcher
Journal:  PLoS One       Date:  2017-05-02       Impact factor: 3.240

6.  RACHS - ANZ : A Modified Risk Adjustment in Congenital Heart Surgery Model for Outcome Surveillance in Australia and New Zealand.

Authors:  Brent McSharry; Lahn Straney; Janet Alexander; Tom Gentles; David Winlaw; John Beca; Johnny Millar; Frank Shann; Barry Wilkins; Andrew Numa; Christian Stocker; Simon Erickson; Anthony Slater
Journal:  J Am Heart Assoc       Date:  2019-05-07       Impact factor: 5.501

7.  Demographic and clinical profile of patients treated with proximal femoral nails - a 10-year analysis of more than 40,000 Cases.

Authors:  Christopher G Finkemeier; Chantal E Holy; Jill W Ruppenkamp; Mollie Vanderkarr; C Sparks
Journal:  BMC Musculoskelet Disord       Date:  2022-09-01       Impact factor: 2.562

8.  Pediatric admissions that include intensive care: a population-based study.

Authors:  Ibinabo Ibiebele; Charles S Algert; Jennifer R Bowen; Christine L Roberts
Journal:  BMC Health Serv Res       Date:  2018-04-10       Impact factor: 2.655

  8 in total

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