Literature DB >> 30811092

Comparison of emergency department time performance between a Canadian and an Australian academic tertiary hospital.

Ivy Cheng1,2, David Taylor3, Michael J Schull4, Merrick Zwarenstein5, Alex Kiss4, Maaret Castren6, Mats Brommels7, Michael Yeoh8, Fergus Kerr9.   

Abstract

OBJECTIVE: To compare performance and factors predicting failure to reach Ontario and Australian government time targets between a Canadian (Sunnybrook Hospital) and an Australian (Austin Health) academic tertiary-level hospitals in 2012, and to assess for change of factors and performance in 2016 between the same hospitals.
METHODS: This was a retrospective, observational study of patient administrative data in two calendar years. The main outcome measure was reaching Ontario and Australian ED time targets for admissions, high and low urgency discharges. Secondary outcomes were factors predicting failure to reach these targets.
RESULTS: Between 2012 and 2016, Sunnybrook and Austin experienced increased patient volume of 10.2% and 19.2%, respectively. Bed capacity decreased at Sunnybrook (-10.8%) but increased at the Austin (+30.3%). For both years, Austin failed to achieve the Australian time target, but succeeded for all Ontario targets except for low urgency discharges. Sunnybrook failed all targets irrespective of year. The top factors for failing Ontario ED length-of-stay targets for both hospitals in 2012 and 2016 were bed request greater than 6 h, access block greater than 1 h, use of cross-sectional imaging, consultation and waiting for the emergency physician greater than 2 h.
CONCLUSION: Austin outperformed Sunnybrook for Ontario and Australian government time targets. Both hospitals failed the Australian targets. Factors predicting failure to achieve targets were different between hospitals, but were mainly clinical resources. Sunnybrook focussed on increasing human resources. Austin focussed on increasing human resources, observation unit and hospital beds. Intrinsic hospital characteristics and infrastructure influenced target success.
© 2019 Australasian College for Emergency Medicine.

Entities:  

Keywords:  emergency department crowding; health services research; pay for performance

Mesh:

Year:  2019        PMID: 30811092     DOI: 10.1111/1742-6723.13247

Source DB:  PubMed          Journal:  Emerg Med Australas        ISSN: 1742-6723            Impact factor:   2.151


  2 in total

1.  Predicting Patient Length of Stay in Australian Emergency Departments Using Data Mining.

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Journal:  Sensors (Basel)       Date:  2022-06-30       Impact factor: 3.847

2.  S100B protein level for the detection of clinically significant intracranial haemorrhage in patients with mild traumatic brain injury: a subanalysis of a prospective cohort study.

Authors:  Julien Blais Lécuyer; Éric Mercier; Pier-Alexandre Tardif; Patrick M Archambault; Jean-Marc Chauny; Simon Berthelot; Jérôme Frenette; Jeff Perry; Ian Stiell; Marcel Émond; Jacques Lee; Eddy Lang; Andrew McRae; Valérie Boucher; Natalie Le Sage
Journal:  Emerg Med J       Date:  2020-12-18       Impact factor: 2.740

  2 in total

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