Literature DB >> 27169971

The National Emergency Access Target (NEAT) and the 4-hour rule: time to review the target.

Clair Sullivan1, Andrew Staib2, Sankalp Khanna3, Norm M Good3, Justin Boyle3, Rohan Cattell4, Liam Heiniger3, Bronwyn R Griffin5, Anthony Jr Bell6, James Lind7, Ian A Scott2.   

Abstract

OBJECTIVE: We explored the relationship between the National Emergency Access Target (NEAT) compliance rate, defined as the proportion of patients admitted or discharged from emergency departments (EDs) within 4 hours of presentation, and the risk-adjusted in-hospital mortality of patients admitted to hospital acutely from EDs. DESIGN, SETTING AND PARTICIPANTS: Retrospective observational study of all de-identified episodes of care involving patients who presented acutely to the EDs of 59 Australian hospitals between 1 July 2010 and 30 June 2014. MAIN OUTCOME MEASURE: The relationship between the risk-adjusted mortality of inpatients admitted acutely from EDs (the emergency hospital standardised mortality ratio [eHSMR]: the ratio of the numbers of observed to expected deaths) and NEAT compliance rates for all presenting patients (total NEAT) and admitted patients (admitted NEAT).
RESULTS: ED and inpatient data were aggregated for 12.5 million ED episodes of care and 11.6 million inpatient episodes of care. A highly significant (P < 0.001) linear, inverse relationship between eHSMR and each of total and admitted NEAT compliance rates was found; eHSMR declined to a nadir of 73 as total and admitted NEAT compliance rates rose to about 83% and 65% respectively. Sensitivity analyses found no confounding by the inclusion of palliative care and/or short-stay patients.
CONCLUSION: As NEAT compliance rates increased, in-hospital mortality of emergency admissions declined, although this direct inverse relationship is lost once total and admitted NEAT compliance rates exceed certain levels. This inverse association between NEAT compliance rates and in-hospital mortality should be considered when formulating targets for access to emergency care.

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Year:  2016        PMID: 27169971     DOI: 10.5694/mja15.01177

Source DB:  PubMed          Journal:  Med J Aust        ISSN: 0025-729X            Impact factor:   7.738


  22 in total

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

Authors:  Sai Gayatri Gurazada; Shijia Caddie Gao; Frada Burstein; Paul Buntine
Journal:  Sensors (Basel)       Date:  2022-06-30       Impact factor: 3.847

2.  Who breaches the four-hour emergency department wait time target? A retrospective analysis of 374,000 emergency department attendances between 2008 and 2013 at a type 1 emergency department in England.

Authors:  Niklas Bobrovitz; Daniel S Lasserson; Adam D M Briggs
Journal:  BMC Emerg Med       Date:  2017-11-02

3.  Impact of the Four-Hour Rule in Western Australian hospitals: Trend analysis of a large record linkage study 2002-2013.

Authors:  Hanh Ngo; Roberto Forero; David Mountain; Daniel Fatovich; Wing Nicola Man; Peter Sprivulis; Mohammed Mohsin; Sam Toloo; Antonio Celenza; Gerard Fitzgerald; Sally McCarthy; Ken Hillman
Journal:  PLoS One       Date:  2018-03-14       Impact factor: 3.240

4.  An investigation into the use of radiographer abnormality detection systems by Queensland public hospitals.

Authors:  Andrew Murphy; Michael Neep
Journal:  J Med Radiat Sci       Date:  2018-04-29

5.  New Zealand's emergency department target - did it reduce ED length of stay, and if so, how and when?

Authors:  Tim Tenbensel; Linda Chalmers; Peter Jones; Sarah Appleton-Dyer; Lisa Walton; Shanthi Ameratunga
Journal:  BMC Health Serv Res       Date:  2017-09-26       Impact factor: 2.655

6.  The impact of Australian healthcare reforms on emergency department time-based process outcomes: An interrupted time series study.

Authors:  Khic-Houy Prang; Rachel Canaway; Marie Bismark; David Dunt; Margaret Kelaher
Journal:  PLoS One       Date:  2018-12-12       Impact factor: 3.240

7.  Development and pilot of a multicriteria decision analysis (MCDA) tool for health services administrators.

Authors:  Robin Blythe; Shamesh Naidoo; Cameron Abbott; Geoffrey Bryant; Amanda Dines; Nicholas Graves
Journal:  BMJ Open       Date:  2019-04-24       Impact factor: 2.692

8.  A qualitative study exploring the factors influencing admission to hospital from the emergency department.

Authors:  Ian Pope; Helen Burn; Sharif A Ismail; Tim Harris; David McCoy
Journal:  BMJ Open       Date:  2017-08-29       Impact factor: 2.692

9.  Investigating Indicators of Waiting Time and Length of Stay in Emergency Departments.

Authors:  Nojoud Al Nhdi; Hajar Al Asmari; Abdulellah Al Thobaity
Journal:  Open Access Emerg Med       Date:  2021-07-16

10.  Impact of patient isolation on emergency department length of stay: A retrospective cohort study using the Registry for Emergency Care.

Authors:  Gerard M O'Reilly; Rob D Mitchell; Biswadev Mitra; Michael P Noonan; Ryan Hiller; Lisa Brichko; Carl Luckhoff; Andrew Paton; De Villiers Smit; Peter A Cameron
Journal:  Emerg Med Australas       Date:  2020-09-09       Impact factor: 2.279

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