Use of medical emergency call data as a marker of quality of emergency department care in the post-National Emergency Access Target era.

Objectives Any new model of care should always be accompanied by rigorous monitoring to ensure that there are no negative consequences, especially any that impact upon patient safety. In 2013, 'THERMoSTAT' (Two- Hour Evaluation and Referral Model for Shorter Turnaround Times), an emergency department model of care developed by Royal Brisbane and Women's Hospital staff was launched to gain efficiencies and improve hospital National Emergency Access Target (NEAT) compliance. The aim of this study was to trial the use of medical emergency call data as a novel marker of the quality of care delivered by our emergency department. Methods Incidence of medical emergency calls for hospital emergency admission patients for the 2 years pre- and 1 year post-THERMoSTAT were compared after standardising for overall hospital activity. Results During the study period, hospital activity increased 10%, and the emergency department experienced a total of 222645 presentations, 68000 (30.5%) of which converted into an admission. THERMoSTAT improved NEAT compliance by 17% (from 57.7% to 74.9%) with no change in any patient-safety indicators. A total of 8432 medical emergency calls were made on 5930 patients, 2831 of whom were emergency admissions. After adjusting for hospital activity, there was no change in the average number of patients per week who triggered a medical emergency call after the introduction of THERMoSTAT. These results were reproduced when data was analysed for: total number of inpatients triggering calls; emergency admission patients; and emergency admission patients within the first 24h or first 4h of admission. Conclusions This is the first report to investigate the correlation between inpatient medical emergency call incidence and emergency department model of care. Medical emergency call data showed significant promise as a measure of morbidity and as a more direct, objective, simple, quantitative and meaningful measure of patient safety. What is known about the topic? It is well established that extended emergency department lengths of stay are associated with poorer patient outcomes. The corollary of this is not always true however; shorter emergency department length of stay does not automatically translate into better care. Although the underlying philosophy of NEAT is to enhance patient care, there is a risk of negative consequences if NEAT is seen as an end in itself. Many of the commonly used emergency department key performance indicators focus on the timeliness of care and there is a scarcity of easily quantifiable markers that reliably reflect the quality of that care. What does this paper add? This study builds on the concept of medical emergency call incidence as a marker of safety and quality. It explores the utility of using the number of medical emergency calls made in the first few hours of an emergency admission as an indicator of the quality of care delivered by the emergency department. This is significant because it introduces a measure that has a focus that embraces more than the timeliness of care only. What are the implications for practitioners? If medical emergency call incidence in early emergency admissions can be proven to accurately reflect emergency department quality of care then it would provide an easily monitored, objective, quantitative and prompt measure that evaluates dimensions other than timeliness.

[1]  Time for Patients , 2018, Brain & Life.

[2]  J. Greenslade,et al.  Two Hour Evaluation and Referral Model for Shorter Turnaround Times in the emergency department , 2017, Emergency medicine Australasia : EMA.

[3]  Sankalp Khanna,et al.  The National Emergency Access Target (NEAT) and the 4‐hour rule: time to review the target , 2016, The Medical journal of Australia.

[4]  Michael Moesmann Madsen,et al.  Selection of quality indicators for hospital-based emergency care in Denmark, informed by a modified-Delphi process , 2016, Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine.

[5]  Daryl A Jones,et al.  Physiological status during emergency department care: relationship with inhospital death after clinical deterioration. , 2015, Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine.

[6]  Stephen A. Martin,et al.  Care that Matters: Quality Measurement and Health Care , 2015, PLoS medicine.

[7]  J. Considine,et al.  The effect of a staged, emergency department specific rapid response system on reporting of clinical deterioration. , 2015, Australasian emergency nursing journal : AENJ.

[8]  D. Liew,et al.  Clearing emergency departments and clogging wards: National Emergency Access Target and the law of unintended consequences , 2014, Emergency medicine Australasia : EMA.

[9]  J. Considine,et al.  Recognising clinical deterioration in emergency department patients. , 2014, Australasian emergency nursing journal : AENJ.

[10]  D. Liew,et al.  Impact of emergency access targets on admissions to general medicine: a retrospective cohort study , 2013, Internal medicine journal.

[11]  G. Geelhoed,et al.  The National Emergency Access Target (NEAT): can quality go with timeliness? , 2013, The Medical journal of Australia.

[12]  Hester F. Lingsma,et al.  The Hospital Standardized Mortality Ratio Fallacy: A Narrative Review , 2012, Medical care.

[13]  J. Considine,et al.  The uptake of an early warning system in an Australian emergency department: a pilot study. , 2012, Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine.

[14]  Thomas Locker,et al.  Time patients spend in the emergency department: England's 4-hour rule-a case of hitting the target but missing the point? , 2012, Annals of emergency medicine.

[15]  G. Geelhoed,et al.  Emergency department overcrowding, mortality and the 4‐hour rule in Western Australia , 2012, The Medical journal of Australia.

[16]  K. Hillman,et al.  Lessons from the 4‐hour standard in England for Australia , 2011, The Medical journal of Australia.

[17]  Peter G Jones,et al.  The four hour target to reduce emergency department ‘waiting time’: A systematic review of clinical outcomes , 2010, Emergency medicine Australasia : EMA.

[18]  P. Pronovost,et al.  Using hospital mortality rates to judge hospital performance: a bad idea that just won’t go away , 2010, BMJ : British Medical Journal.

[19]  Daniel M Fatovich,et al.  Access block and ED overcrowding , 2010, Emergency medicine Australasia : EMA.

[20]  Daryl A Jones,et al.  Effectiveness of the Medical Emergency Team: the importance of dose , 2009, Critical care.

[21]  V. Burch,et al.  Modified early warning score predicts the need for hospital admission and inhospital mortality , 2008, Emergency Medicine Journal.

[22]  George Braitberg,et al.  Emergency department overcrowding: dying to get in? , 2007, The Medical journal of Australia.

[23]  Richard Thomson,et al.  Measurement of the safety and quality of health care , 2006, The Medical journal of Australia.

[24]  S. Mason,et al.  Digit preference bias in the recording of emergency department times , 2006, European journal of emergency medicine : official journal of the European Society for Emergency Medicine.

[25]  D. Richardson,et al.  Increase in patient mortality at 10 days associated with emergency department overcrowding , 2006, The Medical journal of Australia.

[26]  G. Jelinek,et al.  The association between hospital overcrowding and mortality among patients admitted via Western Australian emergency departments , 2006, The Medical journal of Australia.

[27]  L I Iezzoni,et al.  Explaining differences in English hospital death rates using routinely collected data , 1999, BMJ.

[28]  Mohamed Khalifa,et al.  Developing Emergency Room Key Performance Indicators: What to Measure and Why Should We Measure It? , 2016, ICIMTH.

[29]  E. Spatz,et al.  Factors Influencing Hospital Admission of Non-critically Ill Patients Presenting to the Emergency Department: a Cross-sectional Study , 2015, Journal of General Internal Medicine.