Literature DB >> 27548743

Cross-sectional Survey of Canadian Pediatric Critical Care Transport.

Atsushi Kawaguchi, Anna Gunz1, Allan de Caen2.   

Abstract

OBJECTIVES: This study aimed to better understand the unique aspects of pediatric critical care transport programs across Canada by characterizing the current workforce of each transport program.
METHODS: A cross-sectional questionnaire was sent to the 13 medical directors of Canada's pediatric critical care transport teams, and to 2 nonhospital-affiliated transport services. If a children's hospital did not have a dedicated team for pediatric transport, the regional transport team providing this service was identified.
RESULTS: Eight of the 13 pediatric intensive care units surveyed have unit-based pediatric transport teams. The median annual transport volume for the 8 hospital-based teams was 371 (range, 45-2300) with a total of 5686 patients being transported annually. Among patients transported by the 8 teams, 45% (2579 patients) were pediatric patients (older than 28 days and younger than 18 years) and 40% (1022 patients) of the pediatric patients were admitted to the pediatric intensive care units. Eighty-eight percent of the responding teams also transported neonates (older than 28 days), and 38% transported premature infants.A team composition of registered nurse-respiratory therapist-physician was used by 6/13 teams (75%); however, it accounted for only a small proportion of the transports for most of the teams (median, 2%; range, 2%-100%).The average transport time from dispatch (from team home site) to arrival at receiving facility was reported by 6 teams, and has a median of 195 minutes (range, 90-360 minutes). The median distance from home site to the farthest referral site in the catchment area was 700 km (range, 15-2500 km).
CONCLUSIONS: This is the first Canadian nationwide study of pediatric critical care transport programs. It revealed a complexity and variability in transport team demographics, transport volume, team composition, and decision-making process.

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Year:  2019        PMID: 27548743     DOI: 10.1097/PEC.0000000000000853

Source DB:  PubMed          Journal:  Pediatr Emerg Care        ISSN: 0749-5161            Impact factor:   1.454


  2 in total

1.  Effect Analysis of In-Hospital Transfer Care Based on STABLE Technology in Critically Ill Newborns.

Authors:  Li Fang; Jiaoru Pei; Siqiong Jiang
Journal:  Evid Based Complement Alternat Med       Date:  2022-07-13       Impact factor: 2.650

2.  Hospital outcomes of children admitted to intensive care in British Columbia via interfacility transfer versus direct admission from 2015 to 2017: a descriptive analysis.

Authors:  Jollee S T Fung; Sean Wong; Srinivas Murthy; Fiona Muttalib
Journal:  CMAJ Open       Date:  2021-06-01
  2 in total

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