Impact of the Four-Hour Rule policy on emergency medical services delays in Australian EDs: a longitudinal cohort study.

INTRODUCTION: Delayed handover of emergency medical services (EMS) patients to EDs is a major issue with hospital crowding considered a primary cause. We explore the impact of the 4-hour rule (the Policy) in Australia, focusing on ambulance and ED delays. METHODS: EMS (ambulance), ED and hospital data of adult patients presenting to 14 EDs from 2002 to 2013 in three jurisdictions were linked. Interrupted time series 'Before-and-After' trend analysis was used for assessing the Policy's impact. Random effects meta-regression analysis was examined for associations between ambulance delays and Policy-associated ED intake, throughput and output changes. RESULTS: Before the Policy, the proportion of ED ambulances delayed increased between 1.1% and 1.7% per quarter across jurisdictions. After Policy introduction, Western Australia's increasing trend continued but Queensland decreased by 5.1% per quarter. In New South Wales, ambulance delay decreased 7.1% in the first quarter after Policy introduction. ED intake (triage delay) improved only in New South Wales and Queensland. Each 1% ambulance delay reduction was significantly associated with a 0.91% reduction in triage delay (p=0.014) but not ED length of stay ≤4 hours (p=0.307) or access-block/boarding (p=0.605) suggesting only partial improvement in ambulance delay overall. CONCLUSION: The Policy was associated with reduced ambulance delays over time in Queensland and only the immediate period in New South Wales. Associations may be due to local jurisdictional initiatives to improve ambulance performance. Strategies to alleviate ambulance delay may need to focus on the ED intake component. These should be re-examined with longer periods of post-Policy data.

Ambulance call-outs and response times in Birmingham and the impact of extreme weather and climate change.

Although there has been some research on the impact of extreme weather on the number of ambulance call-out incidents, especially heat waves, there has been very little research on the impact of cold weather on ambulance call-outs and response times. In the UK, there is a target response rate of 75% of life threatening incidents (Category A) that must be responded to within 8 min. This paper compares daily air temperature data with ambulance call-out data for Birmingham over a 5-year period (2007-2011). A significant relationship between extreme weather and increased ambulance call-out and response times can clearly be shown. Both hot and cold weather have a negative impact on response times. During the heat wave of August 2003, the number of ambulance call-outs increased by up to a third. In December 2010 (the coldest December for more than 100 years), the response rate fell below 50% for 3 days in a row (18 December-20 December 2010) with a mean response time of 15 min. For every reduction of air temperature by 1°C there was a reduction of 1.3% in performance. Improved weather forecasting and the take up of adaptation measures, such as the use of winter tyres, are suggested for consideration as management tools to improve ambulance response resilience during extreme weather. Also it is suggested that ambulance response times could be used as part of the syndromic surveillance system at the Health Protection Agency.

Ambulance demand: random events or predicable patterns?

BACKGROUND: Occupational, social and recreational routines follow temporal patterns, as does the onset of certain acute medical diseases and injuries. It is not known if the temporal nature of injury and disease transfers into patterns that can be observed in ambulance demand. This review examines eligible study findings that reported temporal (time of day, day of week and seasonal) patterns in ambulance demand. METHODS: Electronic searches of Medline and Cumulative Index of Nursing and Allied Health Literature were conducted for papers published between 1980 and 2011. In addition, hand searching was conducted for unpublished government and ambulance service documents and reports for the same period. RESULTS: 38 studies examined temporal patterns in ambulance demand. Six studies reported trends in overall workload and 32 studies reported trends in a subset of ambulance demand, either as a specific case type or demographic group. Temporal patterns in overall demand were consistent between jurisdictions for time of day but varied for day of week and season. When analysed by case type, all jurisdictions reported similar time of day patterns, most jurisdictions had similar day of week patterns except for out-of-hospital cardiac arrest and similar seasonal patterns, except for trauma. Temporal patterns in case types were influenced by age and gender. CONCLUSIONS: Temporal patterns are present in ambulance demand and importantly these populations are distinct from those found in hospital datasets suggesting that variation in ambulance demand should not be inferred from hospital data alone. Case types seem to have similar temporal patterns across jurisdictions; thus, research where demand is broken down into case types would be generalisable to many ambulance services. This type of research can lead to improvements in ambulance service deliverables.

Prehospital non-drug assisted intubation for adult trauma patients with a Glasgow Coma Score less than 9.

OBJECTIVES: Prehospital airway management for adult trauma patients remains controversial. We sought to review the frequency that paramedic non-drug assisted intubation or attempted intubation is performed for trauma patients in Ontario, Canada, and determine its association with mortality. METHODS: We conducted a retrospective cohort study using the Ontario Trauma Registry's Comprehensive Data Set for 2002-2009. Eligible patients were greater than 16 years of age, had an initial Glasgow Coma Score of less than 9 and were cared for by ground-based non-critical care paramedics. The primary outcome was mortality. Outcomes were compared between patients undergoing prehospital intubation versus basic airway management. Logistic regression analyses were used to quantify the association between prehospital intubation and mortality. RESULTS: Of the 2229 patients included in the analysis, 671 (30.1%) underwent prehospital intubation. Annual rates of prehospital intubation declined from 33.7% to 14.0% (ptrend<0.0001) over the study period. Unadjusted death rates were 66.0% versus 34.8% in the intubation and basic airway groups, respectively (p<0.0001). Intubation in the prehospital setting was associated with a heightened risk of mortality (adjusted OR 2.8, 95% CI 1.1 to 7.6). CONCLUSIONS: Prehospital non-drug assisted intubation for trauma is being performed less frequently in Ontario, Canada. Within our study population, paramedic non-drug assisted intubation or attempted intubation was associated with a heightened risk of mortality.

The golden hour of shock - how time is running out: prehospital time intervals in Germany--a multivariate analysis of 15, 103 patients from the TraumaRegister DGU(R).

OBJECTIVES: Although prehospital treatment algorithms have changed over the past years, the prehospital time of multiple trauma patients of some 70 min and the on-scene-treatment time (OST) of some 30 min have not changed since 1993. The aim of this study was to critically assess specific interventions and conditions at the scene in relation to their impact on prehospital rescue intervals. METHODS: We performed a retrospective data analysis of all multiple injured patients from the TraumaRegister DGU (English: German Trauma Society) from January 1993 to December 2010. Exclusion criteria were missing or implausible data regarding prehospital timelines. With OST as an independent variable, different models of multivariate regression were performed to identify parameters with relevant impact on the OST. RESULTS: 15 103 datasets were included in this study. Based on the mean OST of 32.7 (± 18.6) min and a constant absolute term of 16.2 (± 1.5) min, we identified seven procedures and nine environmental parameters with significant impact on OST. Intubation (9.3 ± 0.8 min) and being a car occupant (8.0 ± 0.8 min) were associated with the most prolonged OSTs. A Glasgow Coma Scale ≤ 8 (-4.5 ± 0.7 min) and cardiopulmonary resuscitation (-2.8 ± 1.7 min) resulted in its most relevant reduction. Admission to a Level III facility led to a reduced overall prehospital time (60.0 ± 24.6 min) compared with Level I (70.0 ± 28.5 min) and II (66.8 ± 27.4 min) trauma centres. CONCLUSIONS: This study identified characteristic interventions and conditions with significant impact on prehospital treatment times. Current treatment concepts should be re-evaluated with respect to these results.