Literature DB >> 31540943

Modelling the allocation of paediatric intensive care retrieval teams in England and Wales.

Madeline King1,2, Padmanabhan Ramnarayan3, Sarah E Seaton4, Christina Pagel2.   

Abstract

BACKGROUND: Following centralisation of UK paediatric intensive care units in 1997, specialist paediatric intensive care retrieval teams (PICRTs) were established to transport critically ill children from district general hospitals (DGHs). The current location and catchment area of PICRTs covering England and Wales are based on historical referral patterns. National quality standards specify that PICRTs should reach the patient bedside within 3 hours of accepting a referral.
OBJECTIVE: To determine what proportion of demand for PICRT services in England and Wales can be reached within 3 hours and to explore the potential coverage impact of more stringent 'time to bedside' standards.
METHODS: We used mathematical location-allocation methods to: (1) determine the optimal allocation of DGHs to current PICRT locations to minimise road journey time and calculated the proportion of demand reachable within 3 hours, 2 hours, 90 min, 75 min and 1 hour and (2) explore the impact of changing the number and location of PICRTs on demand coverage for the different time thresholds.
RESULTS: For current (and optimal) location of 11 PICRTs, 98% (98%) of demand is reachable within 3 hours; 86% (91%) within 2 hours; 59% (69%) within 90 min; 33% (39%) within 75 min; and 20% (20%) within 1 hour. Five hospitals were not reachable within 3 hours. For the 3-hour standard, eight optimally located PICRT locations had similar coverage as the current 11 locations.
CONCLUSIONS: If new evidence supports reduction in the time to bedside standard, many more hospitals will not be adequately covered. Location-allocation optimisation is a powerful technique for supporting evidence-based service configuration. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  Intensive Care; Mathematical Modelling; System Configuration

Mesh:

Year:  2019        PMID: 31540943     DOI: 10.1136/archdischild-2018-316056

Source DB:  PubMed          Journal:  Arch Dis Child        ISSN: 0003-9888            Impact factor:   3.791


  2 in total

1.  Does time taken by paediatric critical care transport teams to reach the bedside of critically ill children affect survival? A retrospective cohort study from England and Wales.

Authors:  Sarah E Seaton; Padmanabhan Ramnarayan; Patrick Davies; Emma Hudson; Stephen Morris; Christina Pagel; Fatemah Rajah; Jo Wray; Elizabeth S Draper
Journal:  BMC Pediatr       Date:  2020-06-19       Impact factor: 2.125

2.  Using a genetic algorithm to solve a non-linear location allocation problem for specialised children's ambulances in England and Wales.

Authors:  Enoch Kung; Sarah E Seaton; Padmanabhan Ramnarayan; Christina Pagel
Journal:  Health Syst (Basingstoke)       Date:  2021-04-18
  2 in total

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