Literature DB >> 21554489

Are all ICUs the same?

Randall C Wetzel1, Ramesh Sachedeva, Thomas B Rice.   

Abstract

The ability to compare intensive care units (ICUs) and determine whether they provide the same level of care with regard to efficacy, efficiency, and quality is a cornerstone of understanding critical care and improving the quality of that care. Without collecting high-quality data, adjusted for severity of illness and analyzed in a comparative fashion, it would not be possible to describe best practices objectively, to identify which ICUs are doing a good job or to learn from those units that are. This review article discusses how and why ICUs are compared. Particular attention is focused on the severity of illness scores, standardized mortality, and comparative reporting. A data collecting network, Virtual Pediatric Systems, limited liability corporation (VPS, LLC), designed for the purposes of determining where differences in critical care can be identified and the value that this adds in improving quality is discussed. Finally, results from this large data sharing collaborative describing the practice of pediatric critical care are included for the purpose of pediatric intensive care units practice benchmarks.
© 2011 Blackwell Publishing Ltd.

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Year:  2011        PMID: 21554489     DOI: 10.1111/j.1460-9592.2011.03595.x

Source DB:  PubMed          Journal:  Paediatr Anaesth        ISSN: 1155-5645            Impact factor:   2.556


  12 in total

1.  Early Electroencephalographic Findings Correlate With Neurologic Outcome in Children Following Cardiac Arrest.

Authors:  Adam P Ostendorf; Mary E Hartman; Stuart H Friess
Journal:  Pediatr Crit Care Med       Date:  2016-07       Impact factor: 3.624

2.  RBC Distribution Width: Biomarker for Red Cell Dysfunction and Critical Illness Outcome?

Authors:  Ahmed S Said; Philip C Spinella; Mary E Hartman; Katherine M Steffen; Ronald Jackups; Richard Holubkov; Mike Wallendorf; Allan Doctor
Journal:  Pediatr Crit Care Med       Date:  2017-02       Impact factor: 3.624

3.  Adults with childhood-onset chronic conditions admitted to US pediatric and adult intensive care units.

Authors:  Jeffrey D Edwards; Eduard E Vasilevskis; Erika J Yoo; Amy J Houtrow; W John Boscardin; R Adams Dudley; Megumi J Okumura
Journal:  J Crit Care       Date:  2014-10-25       Impact factor: 3.425

4.  Magnetic resonance imaging adds prognostic value to EEG after pediatric cardiac arrest.

Authors:  Alyssa E Smith; Alex P Ganninger; Ali Y Mian; Stuart H Friess; Rejean M Guerriero; Kristin P Guilliams
Journal:  Resuscitation       Date:  2022-02-25       Impact factor: 5.262

5.  Identifying Long-Term Morbidities and Health Trajectories After Prolonged Mechanical Ventilation in Children Using State All Payer Claims Data.

Authors:  Aline B Maddux; Peter M Mourani; Kristen Miller; Todd C Carpenter; Jaime LaVelle; Laura L Pyle; R Scott Watson; Tellen D Bennett
Journal:  Pediatr Crit Care Med       Date:  2022-03-07       Impact factor: 3.971

6.  Relationship between pediatric intensive care unit length of stay and 24-h unplanned readmission rate.

Authors:  Moodakare Ashwini Bhat; Gerardo Soto-Campos; Matthew C Scanlon
Journal:  Health Serv Res       Date:  2022-02-24       Impact factor: 3.734

7.  Postdischarge health resource use in pediatric survivors of prolonged mechanical ventilation for acute respiratory illness.

Authors:  Michelle Vo; Kristen Miller; Tellen D Bennett; Peter M Mourani; Jaime LaVelle; Todd C Carpenter; R Scott Watson; Laura L Pyle; Aline B Maddux
Journal:  Pediatr Pulmonol       Date:  2022-04-26

8.  Children and Young Adults Who Received Tracheostomies or Were Initiated on Long-Term Ventilation in PICUs.

Authors:  Jeffrey D Edwards; Amy J Houtrow; Adam R Lucas; Rachel L Miller; Thomas G Keens; Howard B Panitch; R Adams Dudley
Journal:  Pediatr Crit Care Med       Date:  2016-08       Impact factor: 3.624

9.  Frequency, risk factors, and outcomes of early unplanned readmissions to PICUs.

Authors:  Jeffrey D Edwards; Adam R Lucas; Patricia W Stone; W John Boscardin; R Adams Dudley
Journal:  Crit Care Med       Date:  2013-12       Impact factor: 7.598

10.  Implementation of an Intravenous Fluid Titration Algorithm to Treat Pediatric Diabetic Ketoacidosis.

Authors:  Christopher Babbitt; Marc Dadios; Ariya Chau; Graham Tse; Lisa Brown; Tracy Ladbury; Tricia Morphew; Mario Brakin
Journal:  J Pediatr Intensive Care       Date:  2020-06-04
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