Gaming National Emergency Access Target performance using Emergency Treatment Performance definitions and emergency department short stay units

Michael Hession, Roberto Forero, Nicola W. Man, Luke Penza, Wade McDonald

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: To evaluate potential gaming of the 4 h ED length of stay metric known as the National Emergency Access Target (NEAT) in Australia and Emergency Treatment Performance (ETP) in New South Wales (NSW). Methods: Descriptive statistical analysis was used to recalculate and compare the scores for NEAT and the NSW ETP using variations in the definitions of their measurement on 32 184 presentations during 2016. A computer simulation using a discrete event model illustrated the effect of the use of ED short stay beds on the ETP scores. Results: Using the timestamp of the intent to discharge a patient, called, ‘ready for departure’ instead of the time of a patient physically leaving the department, resulted in an apparent 6% performance improvement. A local interpretation of the NSW state definition of the ‘transferred’ patient resulted in the ETP for ‘admitted’ patients improving by 16%. The discrete event model demonstrated that without changing patient length of stay, ETP scores can be improved by optimising the time of the admit decision or increasing the number of ED short stay beds. Conclusions: The opportunity of NEAT may be squandered unless gaming of the definitions and use of ED short stay beds is addressed. We argue that the longstanding issue of ‘departure time’ should be defined as ‘physically leaving’ the department, in accordance with the Australasian College for Emergency Medicine (ACEM) definition. Patient occupancy is a real measure of ED resource use and NSW and national recommendations should be adjusted. ACEM accreditation of EDs should include review of their application of NEAT definitions to ensure they truly reflect patient flow processes.
Original languageEnglish
Pages (from-to)997-1006
Number of pages10
JournalEmergency Medicine Australasia
Volume31
Issue number6
DOIs
Publication statusPublished - 2019

Keywords

  • emergency management
  • hospital patients
  • length of stay
  • mathematical models

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