Literature DB >> 7867348

Comparative assessment of pediatric intensive care: a national multicenter study. Pediatric Intensive Care Assessment of Outcome (PICASSO) Study Group.

R J Gemke1, G J Bonsel.   

Abstract

OBJECTIVE: Comparative assessment of performance of pediatric intensive care.
DESIGN: Open, prospective multicenter study.
SETTING: All pediatric intensive care units (n = 10; six tertiary and four nontertiary) in the Netherlands. PATIENTS: 1063 consecutive unselected admissions, < or = 18 yrs old, during a 4-month period.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: Effectiveness was defined as the ratio of observed to expected (Pediatric Risk of Mortality-score-derived) mortality. Efficiency was determined by two objective criteria: mortality risk of > 1%, or administration of at least one intensive care unit (ICU)-dependent therapy. In the total population, observed and expected mortality rates were similar. Between hospitals, crude mortality showed wide variations (mean 7.1%, range 1% to 10%). However, in each center, observed and expected mortality rates were similar (mean ratio of observed/expected mortality 0.99, range 0.8 to 1.5). In tertiary care centers, severity of illness-corrected mortality rates in high-risk patients were less than in a United States reference population. Paradoxically, in low-risk tertiary care patients, the observed mortality rate was higher than expected. The relatively high mortality rate in this group is probably the result of the large number of low-risk tertiary care patients suffering from severe, incurable chronic disease. The average number of efficient ICU days was 72%, although large fluctuations between units were found (range 22% to 95%), suggesting that in several centers efficiency rates might be improved by a better selection of high-risk patients requiring ICU-dependent therapies.
CONCLUSIONS: Differences in mortality rates among pediatric ICUs were largely explained by differences in severity of illness. High efficiency rates combined with adequate effectiveness were found in several centers, indicating that admission and discharge decisions might be improved in less efficient centers.

Entities:  

Mesh:

Year:  1995        PMID: 7867348     DOI: 10.1097/00003246-199502000-00007

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  19 in total

1.  Problems in interhospital pediatric intensive care transport in The Netherlands: results from a survey of general pediatricians.

Authors:  G D Vos; F H M Nieman; A M B Meurs; D A Van Waardenburg; G Ramsay; R A M G Donckerwolcke
Journal:  Intensive Care Med       Date:  2003-07-17       Impact factor: 17.440

2.  Centralization of paediatric intensive care.

Authors:  G J McHugh; P R Hicks
Journal:  Intensive Care Med       Date:  2002-06       Impact factor: 17.440

3.  Effect of training and strict guidelines on the reliability of risk adjustment systems in paediatric intensive care.

Authors:  Jolanda G van Keulen; Reinoud J B J Gemke; Kees H Polderman
Journal:  Intensive Care Med       Date:  2005-07-06       Impact factor: 17.440

4.  Mortality in severe meningococcal disease.

Authors:  K Thorburn; P Baines; A Thomson; C A Hart
Journal:  Arch Dis Child       Date:  2001-11       Impact factor: 3.791

5.  Provision of intensive care for children. Effective transport systems are essential.

Authors:  A Berry
Journal:  BMJ       Date:  1998-11-07

6.  Provision of intensive care for children. A geographically integrated service may now be achieved.

Authors:  J Ratcliffe
Journal:  BMJ       Date:  1998-05-23

7.  Mortality prediction models for pediatric intensive care: comparison of overall and subgroup specific performance.

Authors:  Idse H E Visser; Jan A Hazelzet; Marcel J I J Albers; Carin W M Verlaat; Karin Hogenbirk; Job B van Woensel; Marc van Heerde; Dick A van Waardenburg; Nicolaas J G Jansen; Ewout W Steyerberg
Journal:  Intensive Care Med       Date:  2013-02-22       Impact factor: 17.440

8.  Reliability of PRISM and PIM scores in paediatric intensive care.

Authors:  J G van Keulen; K H Polderman; R J B J Gemke
Journal:  Arch Dis Child       Date:  2005-02       Impact factor: 3.791

9.  Demographic profile and outcome analysis of pediatric intensive care patients.

Authors:  E Volakli; M Sdougka; M Tamiolaki; C Tsonidis; M Reizoglou; M Giala
Journal:  Hippokratia       Date:  2011-10       Impact factor: 0.471

10.  Development of the EQ-5D-Y: a child-friendly version of the EQ-5D.

Authors:  Nora Wille; Xavier Badia; Gouke Bonsel; Kristina Burström; Gulia Cavrini; Nancy Devlin; Ann-Charlotte Egmar; Wolfgang Greiner; Narcis Gusi; Michael Herdman; Jennifer Jelsma; Paul Kind; Luciana Scalone; Ulrike Ravens-Sieberer
Journal:  Qual Life Res       Date:  2010-04-20       Impact factor: 4.147

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