Time of Day and Day of Week Trends in EMS Demand

Factors associated with refusal of transport to hospital among patients experiencing suicidal crisis in South Korea

Introduction

Preventing suicide requires identifying psychosocial characteristics and risk factors of people who do not go to the hospital. This study examined factors associated with refusal of transport to the hospital after reporting suicidal ideation or suicide attempt to emergency medical services.

Methods

This retrospective observational study involved reviewing emergency medical service dispatch records collected from January 2019 to December 2020 in Gyeonggi Province, South Korea on patients seeking emergency assistance for suicidal ideation or attempt. Univariate and multivariable regression analyses were employed to identify factors associated with refusal of transport to the hospital. Additionally, predictors of refusal stratified by suicidal ideation and attempt were examined.

Results

A total of 3449 cases were included in the analysis. Patients with suicidal ideation and no psychiatric or medical issues were more likely to refuse transport. In the suicide attempt group, certain patient characteristics were linked to a higher probability of refusal, including age 25 to 44 or 45 to 64, male gender, and/or not intoxicated by alcohol.

Conclusions

The pre-hospital phase is a critical link between patients and mental health services. Therefore, identifying the characteristics of patients who refuse transport to the hospital and developing intervention measures for them is essential.

The practice and determinants of ambulance service utilization in pre-hospital settings, Jimma City, Ethiopia

BACKGROUND

In pre-hospital setting, ambulance provides emergency care and means of transport to arrive at appropriate health centers are as vital as in-hospital care, especially, in developing countries. Accordingly, Ethiopia has made several efforts to improve accessibility of ambulances services in prehospital care system that improves the quality of basic emergency care. Yet, being a recent phenomenon in Ethiopia, empirical studies are inadequate with regard to the practice and determinants of ambulance service utilization in pre-hospital settings. Hence, this study aimed to assess the ambulance service utilization and its determinants among patients admitted to the Emergency Departments (EDs) within the context of pre-hospital care system in public hospitals of Jimma City.

METHOD

A cross-sectional study design was used to capture quantitative data in the study area from June to July 2022. A systematic sampling technique was used to select 451 participants. Interviewer-administered questionnaire was used to collect data. Data analysis was done using SPSS version 26.0; descriptive and logistic regressions were done, where statistical significance was determined at p < 0.05.

RESULTS

Ambulance service was rendered to bring about 39.5% (of total sample, 451) patients to hospitals. The distribution of service by severity of illnesses was 48.7% among high, and 39.4% among moderately acute cases. The major determinants of ambulance service utilization were: service time (with AOR, 0.35, 95%CI, 0.2-0.6 for those admitted to ED in the morning, and AOR, 2.36, 95%CI, 1.3-4.4 for those at night); referral source (with AOR, 0.2, 95%CI, 0.1-0.4 among the self-referrals); mental status (with AOR, 1.9, 95%CI, 1-3.5 where change in the level of consciousness is observed); first responder (AOR, 6.3 95%CI, 1.5-26 where first responders were the police, and AOR, 3.4, 95%C1, 1.7-6.6 in case of bystanders); distance to hospital (with AOR,0.37, 95%CI, 0.2-0.7 among the patients within ≤15km radius); and prior experience in ambulance use (with AOR, 4.1,95%CI, 2.4-7).

CONCLUSION

Although the utilization of ambulance in pre-hospital settings was, generally, good in Jimma City; lower levels of service use among patients in more acute health conditions is problematic. Community-based emergency care should be enhanced to improve the knowledge and use of ambulance services.

Severity-Driven Trends in Mortality in a Large Regionalized Critical Care Transport Service

OBJECTIVE

The epidemiology accompanying helicopter emergency medical services (HEMS) transport has evolved as agencies have matured and become integrated into regionalized health systems, as evidenced primarily by nationwide systems in Europe. System-level congruence between Europe and the United States, where HEMS is geographically fragmentary, is unclear. In this study, we provide a temporal, epidemiologic characterization of the largest standardized private, nonprofit HEMS system in the United States, STAT MedEvac.

METHODS

We obtained comprehensive timing, procedure, and vital signs data from STAT MedEvac prehospital electronic patient care records for all adult patients transported to UPMC Health System hospitals in the period of January 2012 through October 2021. We linked these data with hospital electronic health records available through June 2018 to establish length of stay and vital status at discharge.

RESULTS

We studied 90,960 transports and matched 62.8% (n = 57,128) to the electronic health record. The average patient age was 58.6 years ( 19 years), and most were male (57.9%). The majority of cases were interfacility transports (77.6%), and the most common general medical category was nontrauma (72.7%). Sixty-one percent of all patients received a prehospital intervention. Overall, hospital mortality was 15%, and the average hospital length of stay (LOS) was 8.8 days ( 10.0 days). Observed trends over time included increases in nontrauma transports, level of severity, and in-hospital mortality. In multivariable models, case severity and medical category correlated with the outcomes of mortality and LOS.

CONCLUSION

In the largest standardized nonprofit HEMS system in the United States, patient mortality and hospital LOS increased over time, whereas the proportion of trauma patients and scene runs decreased.

The Impact of the COVID-19 Pandemic on Pre-Hospital Emergency Medical Services: The impact of the Covid-19 pandemic on pre-hospital services

BACKGROUND

The novel coronavirus (COVID-19) disease outbreak started in China and went on to affect the entire world. Healthcare providers were among the communities that faced severe challenges during the pandemic, and this was especially true of Pre-Hospital Emergency Medical Services (PHEMS) providers.

OBJECTIVES

This study aims to investigate the effect of the COVID-19 pandemic on service requests submitted to PHEMS providers via calls made to emergency hotlines.

METHODS

Data were obtained on calls made to 112 (the emergency hotline) during March - August 2020 (i.e., during the pandemic) and the same period the previous year (i.e., the pre-pandemic period). These 2 data sets were analyzed and compared using the SPSS 26 software package (IBM Corp., Armonk, New York, USA).

RESULTS

The results of the analysis indicated that the total number of emergency calls received during the pandemic period (11 745) increased compared to the pre-pandemic period (10 747), whereas there was a decrease in the proportion of trauma-related emergency calls during the pandemic period (5.3%) compared to the pre-pandemic period (6.8%). Furthermore, there was a higher proportion of extended service times among ambulances serving in PHEMS during the pandemic period (ambulance movements longer than 90 seconds: 15.6%) compared to the pre-pandemic period (ambulance movements longer than 90 seconds: 8.6%). Non-emergency ambulance usage rate was 44.90% in the pre-pandemic period and 38.90% in the pandemic period.

CONCLUSIONS

As the study's results show that there was an increase in the number of calls to PHEMS during the pandemic period, especially given that a significant portion of these calls consisted of non-emergency calls, it is recommended that measures be taken to reduce the excessive load on PHEMS during a pandemic.

An at-home evaluation of a light intervention to mitigate sleep inertia symptoms

OBJECTIVES

Under laboratory settings, light exposure upon waking at night improves sleep inertia symptoms. We investigated whether a field-deployable light source would mitigate sleep inertia in a real-world setting.

METHODS

Thirty-six participants (18 female; 26.6 years ± 6.1) completed an at-home, within-subject, randomized crossover study. Participants were awoken 45 minutes after bedtime and wore light-emitting glasses with the light either on (light condition) or off (control). A visual 5-minute psychomotor vigilance task, Karolinska sleepiness scale, alertness and mood scales, and a 3-minute auditory/verbal descending subtraction task were performed at 2, 12, 22, and 32 minutes after awakening. Participants then went back to sleep and were awoken after 45 minutes for the opposite condition. A series of mixed-effect models were performed with fixed effects of test bout, condition, test bout × condition, a random effect of the participant, and relevant covariates.

RESULTS

Participants rated themselves as more alert (p = .01) and energetic (p = .001) in the light condition compared to the control condition. There was no effect of condition for descending subtraction task outcomes when including all participants, but there was a significant improvement in descending subtraction task total responses in the light condition in the subset of participants waking from N3 (p = .03). There was a significant effect of condition for psychomotor vigilance task outcomes, with faster responses (p < .001) and fewer lapses (p < .001) in the control condition.

CONCLUSIONS

Our findings suggest that light modestly improves self-rated alertness and energy after waking at home regardless of sleep stage, with lower aggression and improvements to working memory only after waking from N3. Contrary to laboratory studies, we did not observe improved performance on the psychomotor vigilance task. Future studies should include measures of visual acuity and comfort to assess the feasibility of interventions in real-world settings.

Spatial and temporal analysis of road traffic crashes and ambulance responses in Lagos state, Nigeria

BACKGROUND

Sub-Saharan African countries, Nigeria inclusive, are constrained by grossly limited access to quality pre-hospital trauma care services (PTCS). Findings from pragmatic approaches that explore spatial and temporal trends of past road crashes can inform novel interventions. To improve access to PTCS and reduce burden of road traffic injuries we explored geospatial trends of past emergency responses to road traffic crashes (RTCs) by Lagos State Ambulance Service (LASAMBUS), assessed efficiency of responses, and outcomes of interventions by local government areas (LGAs) of crash.

METHODS

Using descriptive cross-sectional design and REDcap we explored pre-hospital care data of 1220 crash victims documented on LASAMBUS intervention forms from December 2017 to May 2018. We analyzed trends in days and times of calls, demographics of victims, locations of crashes and causes of delayed emergency responses. Assisted with STATA 16 and ArcGIS pro we conducted descriptive statistics and mapping of crash metrics including spatial and temporal relationships between times of the day, seasons of year, and crash LGA population density versus RTCs incidence. Descriptive analysis and mapping were used to assess relationships between 'Causes of Delayed response' and respective crash LGAs, and between Response Times and crash LGAs.

RESULTS

Incidences of RTCs were highest across peak commuting hours (07:00-12:59 and 13:00-18:59), rainy season and harmattan (foggy) months, and densely populated LGAs. Five urban LGAs accounted for over half of RTCs distributions: Eti-Osa (14.7%), Ikeja (14.4%), Kosofe (9.9%), Ikorodu (9.7%), and Alimosho (6.6%). On intervention forms with a Cause of Delay, Traffic Congestion (60%), and Poor Description (17.8%), had associations with LGA distribution. Two densely populated urban LGAs, Agege and Apapa were significantly associated with Traffic Congestion as a Cause of Delay. LASAMBUS was able to address crash in only 502 (36.8%) of the 1220 interventions. Other notable outcomes include: No Crash (false calls) (26.6%), and Crash Already Addressed (22.17%).

CONCLUSIONS

Geospatial analysis of past road crashes in Lagos state offered key insights into spatial and temporal trends of RTCs across LGAs, and identified operational constraints of state-organized PTCS and factors associated with delayed emergency responses. Findings can inform programmatic interventions to improve trauma care outcomes.

Exploring factors associated with paramedic work-related psychological injury through data linkage

INTRODUCTION

In comparison to the general population and other emergency services workers, paramedics experience high rates of work-related psychological injury. However, there is limited understanding of the case and practitioner-related factors that increase the risk of psychological injury among these workers. This paper aims to identify case and practitioner-related factors associated with paramedic work-related psychological injury in Victoria, Australia, through data linkage.

METHODS

Data linkage of 7,223 paramedic injury reports with electronic patient care records, and paramedic demographic data from the single state-wide ambulance service in Victoria, Australia - Ambulance Victoria. Injuries reported between 1 January 2015 and 30 June 2020 were included. Factors associated with paramedic psychological injury were assessed using multivariable logistic regression analysis.

RESULTS

A total of 4,641 (64%) injury reports were successfully linked, of which, 244 (5%) were psychological injuries. Shift hours between 0401 and 0800 (AOR 1.83; 95%CI: 1.12-2.97), cardiac arrest or deceased patient attendances (AOR 2.15; 95%CI: 1.06-4.34), hospital or medical center case locations (AOR 2.44; 95%CI: 1.22-4.91), and Priority 0 (AOR 2.27; 95%CI: 1.26-4.09), Priority 2 (AOR 1.56; 95%CI: 1.04-2.33), and Priority 3 (AOR 1.95; 95%CI: 1.15-3.32) dispatch codes were associated with increased odds of psychological injury. Increasing patient age (AOR 0.98; 95%CI: 0.97-0.99), and the absence of other emergency services on scene (AOR 0.50; 95%CI: 0.34-0.72) were associated with decreased odds of paramedic psychological injury.

CONCLUSIONS

This is the first study to collectively examine and identify EMS case and practitioner-related characteristics associated with paramedic psychological injury through data linkage of EMS agency-level data sources.

PRACTICAL APPLICATION

The findings of this study highlight the dispatch case characteristics that may increase the risk of a paramedic sustaining a work-related psychological injury, and consequently facilitate the early identification, intervention, and support of the individuals most at risk.

Are Short Duration Naps Better than Long Duration Naps for Mitigating Sleep Inertia? Brief Report of a Randomized Crossover Trial of Simulated Night Shift Work

OBJECTIVE

We sought to test the effects of different duration naps on post-nap cognitive performance during simulated night shifts.

METHODS

We used a randomized laboratory-based crossover trial design with simulated 12-hr night shifts and each participant completing three conditions of 72 hrs each (Clinicaltrials.gov; registration # NCT04469803). The three conditions tested included no-nap, a 30-min nap opportunity, and a 2-hr nap opportunity. Naps occurred at 02:00 hrs. Cognitive performance was assessed with the Brief 3-min Psychomotor Vigilance Test (PVT-B). Four PVT-B measures include: reaction time (RT in milliseconds (ms)), lapses (RT > 355 ms), false starts (reactions before stimulus or RT <100 ms), and speed (1,000/RT). The PVT-B was performed at the start of the simulated night shift (19:00), end of shift (07:00), pre-nap (02:00), and at 0 mins, 10 mins, 20 mins, and 30 mins following the 30-min and 2-hr nap conditions. Simultaneously, participants reported subjective ratings of fatigue and other constructs.

RESULTS

Twenty-eight (15 female), mostly certified emergency medical technicians or paramedics, consented to participate. For all three conditions, looking within condition, PVT-B lapse performance at the end of the 12-hr simulated night shift (at 07:00) was poorer compared to shift start (p < 0.05). Performance on PVT-B speed, RT, and false starts were poorer at shift end than shift start for the no-nap and 30-min nap conditions (p < 0.05), but not for the 2-hr nap condition (p > 0.05). Compared to pre-nap measures, performance on the PVT-B assessed at 0 mins post-nap showed significant performance declines for lapses and speed for both the 30-min and 2-hr nap conditions (p < 0.05), but not at 10, 20, or 30 mins post-nap. After waking from the 2-hr on-shift nap opportunity (at 0 mins), participants rated sleepiness, difficulty with concentration, and alertness poorer than pre-nap (p < 0.05). Participants in the 30-min nap condition rated alertness poorer immediately after the nap (at 0 mins) compared to pre-nap (p < 0.05).

CONCLUSIONS

While sleep inertia was detectable immediately following short 30-min and long 2-hr nap opportunities during simulated night shift work, deficits in cognitive performance and subjective ratings quickly dissipated and were not detectable at 10-30 mins post-nap.

Effect of Short versus Long Duration Naps on Blood Pressure during Simulated Night Shift Work: A Randomized Crossover Trial

OBJECTIVE

Blunting of the sleep-related dip in blood pressure (BP) has been linked to numerous cardiovascular outcomes including myocardial infarction. Blunting of BP dipping occurs during night shift work and previous research suggest that a 60-min or longer on-shift nap is needed to restore normal/healthy BP dipping. We sought to determine the effect of different durations of napping on BP during and following simulated night shifts. We hypothesized that the greatest benefit in terms of restoration of normal BP dipping during night shift work would be observed during a longer duration nap versus a shorter nap opportunity.

METHODS

We used a randomized crossover laboratory-based study design. Participants consented to complete three separate 72-hr conditions that included a 12-hr simulated night shift. Nap conditions included a 30-min and 2-hr nap compared to a no-nap condition. Ambulatory BP monitoring was assessed hourly and every 10-30 mins during in-lab naps. Blunted BP dipping during in-lab naps was the primary outcome. Goal enrollment of 25 (35 with attrition) provided 80% power to detect a mean difference of 5 mmHg in BP between nap conditions.

RESULTS

Of the 58 screened, 28 were consented, and 26 completed all three 72-hr conditions. More than half (53.6%) were female. Mean age was 24.4 years (SD7.2). Most (85.7%) were certified as emergency medical technicians or paramedics. The mean percentage dip in systolic BP (SBP) and diastolic BP (DBP) did not differ between the 30-min and 2-hr nap conditions (p > 0.05), yet a greater proportion of participants experienced a 10-20% dip in SBP or DBP during the 2-hr nap versus the 30-min nap (p < 0.05). For every additional minute of total sleep during the 30-min nap, the percentage of SBP dip improved by 0.60%, and the percentage of DBP dip improved by 0.68% (p < 0.05). These improvements approximate to a 6% per minute relative advancement toward normal/healthy BP dipping.

CONCLUSIONS

Restoration of a normal/healthy dip in BP is achievable during short and long duration nap opportunities during simulated night shift work. Our findings support the hypothesis that BP dipping is more common during longer 2-hr versus shorter 30-min naps.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT04469803. Registered on 9 July 2020.

Impact of lifting the mandatory evacuation order after the Fukushima Daiichi Nuclear Power Plant accident on the emergency medical system: a retrospective observational study at Minamisoma City with machine learning analysis

OBJECTIVES

This study aimed to identify factors that delayed emergency medical services (EMS) in evacuation order zones after the 2011 Great East Japan Earthquake and Fukushima Daiichi Nuclear Power Plant accident and to investigate how the lifting of the evacuation affected these factors over time.

DESIGN

This research was a retrospective observational study. The primary outcome measure was onsite EMS time. A gradient boosting model and a decision tree were used to find the boundary values for factors that reduce EMS.

SETTING

The target area was Minamisoma City, Fukushima, Japan that was partly designated as an evacuation order zone after the 2011 Fukushima disaster, which was lifted due to decreased radiation.

PARTICIPANTS

This study included patients transferred by EMS from 1 January 2013 through 31 October 2018. Patients who were not transported and those transported for community events, interhospital patient transfer and natural disasters were excluded.

OUTCOME MEASURES

This study evaluated the total EMS time using on-site time which is the time from arrival at the scene to departure to the destination, and other independent factors.

RESULTS

The total number of transports was 12 043. The decision tree revealed that the major factors that prolonged onsite time were time of day and latitude, except for differences by year. While latitude was a major factor in extending on-site time until 2016, the effect of latitude decreased and that of time of day became more significant since 2017. The boundary was located at N37.695° latitude.

CONCLUSIONS

The onsite time delay in EMS in evacuation order zones is largely due to regional factors from north to south and the time of day. However, the north-south regional factor decreased with the lifting of evacuation orders.

Is there a weekend effect on mortality rate and outcome for moderate and severe traumatic brain injury? A population-based, observational cohort study

Purpose

The aim of the study was to analyse patient and injury characteristics and the effects of weekend admissions on mortality rate and outcome after moderate and severe traumatic brain injuries.

Methods

This is an observational cohort study based on data from a prospectively maintained regional trauma registry in South Western Norway. Patients with moderate and severe traumatic brain injury admitted between January 1st, 2004 and December 31st, 2019 were included in this study.

Results

During the study period 688 patients were included in the study with similar distribution between moderate (n ​= ​318) and severe (n ​= ​370) traumatic brain injury. Mortality rate was 46% in severe and 13% in moderate traumatic brain injury. Two hundred and thirty-one (34%) patients were admitted during weekends. Patients admitted during weekends were significantly younger (median age (IQR) 32.0 (25.5-67.0) vs 47.0 (20.0-55.0), p ​< ​0.001). Pre-injury ASA 1 was significantly more common in patients admitted during weekends (n ​= ​146, 64%, p ​= ​0.001) while ASA 3 showed significance during weekdays compared to weekends (n ​= ​101, 22%, p ​= ​0.013). On binominal logistic regression analysis mortality rate was significantly higher with older age (OR 1.03, 95% CI for OR 1.02-1.04, p ​< ​0.001) and increasing TBI severity (OR 7.08, 95% CI for OR 4.67-10.73, p ​< ​0.001).

Conclusions

Mortality rate and poor clinical outcome remain high in severe traumatic brain injury. While a higher number of patients are admitted during the weekend, mortality rate does not differ from weekday admissions.

Development of Emergency Medical Services Amid 5 Years’ Experience at a Medical School in Thailand

BACKGROUND: The development of emergency medical services (EMSs) in Thailand is divided into two phases following the enactment of the Emergency Medical Act in 2007 aimed at making the work model more systematic. However, the amount of EMS operations has not been well studied. AIM: The aim of this study was to describe the pattern of EMS operations throughout a 5-year period. METHODS: A retrospective, single-centered study at a medical school hospital in Thailand. Data were gathered from the EMS database at Srinagarind Hospital throughout the years 2016–2020. RESULTS: A total of 10,384 EMS operations were examined over a 5-year period (2016–2020). The mean age of patients in 2016 was 40.2 ± 3.5 years, and 55.3% (n = 1178) were male. Operations were most commonly performed during the afternoon shift (4.00 p.m.–0.00 a.m.) 41.0%, 38.6%, 39.5%, 39.2%, and 50.8%, respectively. The amount of EMS members had a tendency to increase in number throughout the 5 years of study (p = 0.022). The average times from 1669 center call receipt to arrival on scene (response time) for 2016 and 2020 were 8.52 ± 2.20 min and 5.52 ± 3.02 min, respectively (p < 0.001). CONCLUSION: The development of EMS at Srinagarind Hospital took place with an increase in the age of patients, number of operations in the afternoon shift, and EMS members, yet with a decrease in response times.

Evolution of emergency medical calls during a pandemic - An emergency medical service during the COVID-19 outbreak

INTRODUCTION

Emergency Medical Services (EMS) are expected to be affected by a pandemic outbreak. However, the available data about trends and extents of these effects is limited.

METHODS

We analyzed numbers of ambulance calls for all 136 diagnosis codes used by Magen David Adom (MDA), Israel's national EMS during 121 days between January 01 and April 30, 2020.

RESULTS

There was an increase in calls for COVID-19 symptoms (cough, fever, throat pain). This trend followed the same shape as the curve for confirmed COVID-19 patients. Trends were found to increase for calls not followed by transport to the hospital as well as in calls for mental or psychiatric causes. Simultaneously, there was a decrease in calls for cardiovascular issues, pneumonia, and all injuries.

CONCLUSION

Understanding these correlations may allow better preparedness of the EMS and a better response towards the public needs in the period of an epidemic or a pandemic.

Binary Programming Model for Rostering Ambulance Crew-Relevance for the Management and Business

The nature of health care services is very complex and specific, thus delays and organizational imperfections can cause serious and irreversible consequences, especially when dealing with emergency medical services. Therefore, constant improvements in various aspects of managing and organizing provision of emergency medical services are vital and unavoidable. The main goal of this paper is the development and application of a binary programming model to support decision making process, especially addressing scheduling workforce in organizations with stochastic demand. The necessary staffing levels and human resources allocation in health care organizations are often defined ad hoc, without empirical analysis and synchronization with the demand for emergency medical services. Thus, irrational allocation of resources can result in various negative impacts on the financial result, quality of medical services and satisfaction of both patients and employees. We start from the desired staffing levels determined in advance and try to find the optimal scheduling plan that satisfies all significant professional and regulatory constraints. In this paper a binary programming model has been developed and implemented in order to minimize costs, presented as the sum of required number of ambulance crews. The results were implemented for staff rostering process in the Ambulance Service Station in Subotica, Serbia. Compared to earlier scheduling done ad hoc at the station, the solution of the formulated model provides a better and equable engagement of crews. The developed model can be easily modified and applied to other organizations with the same, stochastic, nature of the demand.

Optimizing the Availability of Enhanced Prehospital Care Team Resources

OBJECTIVE

After recent developments within the North West Air Ambulance (NWAA), we undertook a service evaluation to determine if resource use could be improved. We sought to answer the following questions: (1) At what time of day do major trauma incidents occur in the North West of England? 2) Do current NWAA operating hours meet the needs of these major trauma patients? 3) Where do major trauma incidents occur in the North West of England? and 4) Are current NWAA resources optimally located to meet the needs of these major trauma patients?

METHODS

We reviewed records from the Trauma Audit and Research Network database for the North West of England (the counties of Cheshire, Merseyside, Greater Manchester, Cumbria, and Lancashire) between January 1, 2017, and December 31, 2017. These data were supplemented by incident records from the North West Ambulance Service National Health Service Trust. Analysis was undertaken using Excel (Microsoft, Redmond, WA) and MapInfo Pro (Pitney Bowes, Stamford, CT). A survey will be conducted to give insight into the level of cover provided by other UK helicopter emergency medical services.

RESULTS

Data from 2,318 incidents were analyzed. Major trauma occurs in higher numbers at certain times of day, varies from weekday to weekend, and takes place in higher concentrations in certain locations, appearing related to population density.

CONCLUSION

There is a significant difference between the current trauma care provision and the demand of major trauma incidents. The findings of this study suggest an expansion in cover provided by the NWAA may be appropriate.

Use of pre-hospital emergency medical services in urban and rural municipalities over a 10 year period: an observational study based on routinely collected dispatch data

BACKGROUND

Pre-hospital emergency medical services (EMS) are an integral part of emergency medical care. EMS planning can be achieved by analyzing patterns of use. However, long-term time trends of EMS use have rarely been studied. The objective of this retrospective study was to investigate utilization patterns over a ten year period, and to compare utilization trends between urban and rural municipalities and between events with and without prehospital emergency physician (PEP) dispatch.

METHODS

Routine data collected by 26 dispatch centers in the federal state of Bavaria, Germany, from 2007 to 2016 was analyzed. Emergency locations were classified into five levels of rurality. Negative binomial mixed effects regression models were fitted to predict emergency rates and to investigate differences in rates and utilization trends. Graphical representation methods were used to compare distribution of transport rates and distribution across daytime and weekday.

RESULTS

Twelve million two hundred thousand one hundred fifty-five dispatches assigned to 7,725,636 single emergencies were included. The mean number of emergencies per year and 1000 population (emergency rate) was 42.8 (±16.0) in rural municipalities and 80.7 (±9.3) in large cities. Compared to rural municipalities, cities had higher emergency rates without (IRR = 3.0, CI 2.2-4.0) and with pre-hospital physicians (IRR = 1.5, CI 1.2-2.0). Between 2007 and 2016, the absolute number of emergencies increased by 49.1%. Estimated annual percent change of emergency rates without physician activation ranged from 5.7% (CI 4.3-7.1) in cities to 7.8% (CI 7.6-7.9) in rural areas. Changes in emergency rates with physician attendance were lower, with estimated increases between 1.3 and 2.4%. The average proportion of patients transported to a hospital was lower in cities and remained unchanged. There were no considerable differences or changes in the distribution across daytime and weekdays.

CONCLUSION

Differences between cities and other areas suggest that the planning of EMS should be targeted to regional characteristics. A substantial increase in emergency rates was observed across all areas of Bavaria, but did not impact transport rates or temporal distributions. Further research is needed to better understand the urgency of emergency events and reasons behind increasing EMS utilization.

Connect dispatch centers for call handling improves performance

The aim of this Letter to the Editor was to report a strategy to reduce time waiting for emergency calls in a dispatch center, in line with a recently published article that reviewed evidence for medical dispatching systems to accurately dispatch Emergency medical Services. Here, we tested the effect of a connected distribution of calls, where a call is allocated to the first available resource among a pooled group of telecommunicators from several dispatch centers. We found that connect dispatch centers improve dispatch center performance, especially during an overloaded period. It could be leveraged to handle emergency calls without delay and to appropriately dispatch Emergency Medical Services.

Key performance indicators' assessment to develop best practices in an Emergency Medical Communication Centre

INTRODUCTION

Emergency Medical Communication Centre (EMCC) represents a pivotal link in the chain of survival for those requiring rapid response for out-of-hospital medical emergencies. Assessing and grading the performance of EMCCs are warranted as it can affect the health and safety of the served population.

OBJECTIVE

The aim of our work was to describe the activity on an EMCC and to explore the associations between different key performance indicators.

METHODS

We carried out our prospective observational study in the EMCC of Nantes, France, from 6 June 2011 to 6 June 2015. The EMCC performance was assessed with the following key performance indicators: answered calls, Quality of Service 20 s (QS20), occupation rate and average call duration.

RESULTS

A total of 35 073 h of dispatch activity were analysed. 1 488 998 emergency calls were answered. The emergency call incidence varied slightly from 274 to 284 calls/1000 citizens/year between 2011 and 2015. The median occupation rate was 35% (25-44). QS20 was correlated negatively with the occupation rate (Spearman's ρ: -0.78). The structural equation model confirmed that the occupation rate was highly correlated with the QS20 (standardized coefficient: -0.89). For an occupation rate of 26%, the target value estimated by our polynomial model, the probability of achieving a QS20 superior or equal to 95% varied between 56 and 84%.

CONCLUSION

The occupation rate appeared to be the most important factor contributing towards the QS20. Our data will be useful to develop best practices and guidelines in the field of emergency medicine communication centres.

Time of Injury and Relation to Alcohol Intoxication in Moderate-to-Severe Traumatic Brain Injury: A Decade-Long Prospective Study

BACKGROUND

Knowledge about the causes and time of injury for traumatic brain injury (TBI) is important for the development of efficient prevention policies. We aimed to study time of injury and relation to alcohol intoxication for moderate-to-severe TBI in a level 1 trauma center in Norway.

METHODS

From October 2004 to September 2014, 493 consecutive patients (≥16 years) with moderate (Glasgow Coma Scale [GCS] score 9-13) and severe TBI (GCS score 3-8) were prospectively included in the Trondheim TBI Study (222 patients with moderate and 270 patients with severe TBI).

RESULTS

Mean age was 47 years (standard deviation 21 years). Positive blood alcohol concentration (BAC) was found in 29%, and median BAC was 41.5 mmol/L (interquartile range 28.7-54.3), equal to 1.91‰. Admissions were more frequent on Saturdays (relative risk [RR] 2.67, 95% confidence interval [CI] 1.87-3.80) and Sundays (RR 2.10, 95% CI 1.45-3.03) compared with Mondays, and positive BAC was more common on weekends than weekdays (43% vs. 16%). Furthermore, admissions were more frequent in June (RR 2.26, 95% CI 1.44-3.55), July (RR 2.07, 95% CI 1.31-3.28), and December (RR 2.07, 95% CI 1.31-3.28) compared with January. The number of patients with positive BAC was greatest in December (RR 5.75, 95% CI 1.99-16.63), and 70% of these were caused by falls.

CONCLUSIONS

Our findings demonstrate that moderate-to-severe TBI admissions display a clear weekly and seasonal variation and that alcohol is an important modifiable risk factor for moderate-to-severe TBI.

Demand Forecast and Multi-Objective Ambulance Allocation

This study considers the two-fold dynamic ambulance allocation problem, which includes forecasting the distribution of Emergency Medical Service (EMS) requesters and allocating ambulances dynamically according to the predicted distribution of requesters. EMSs demand distribution forecasting is based on on-record historical demands. Subsequently, a multi-objective ambulance allocation model (MOAAM) is solved by a mechanism called Jumping Particle Swarm Optimization (JPSO) according to the forecasted distribution of demands. Experiments were conducted using recorded historical data for EMS requesters in New Taipei City, Taiwan, for the years 2014 and 2015. EMS demand distribution for 2015 is forecasted according to the on-record historical demand of 2014. Ambulance allocation for 2015 is determined according to the anticipated demand distribution. The predicted demand distribution and ambulance allocation solved by JPSO are compared with historic data of 2015. The comparisons verify that the proposed methods yield lower forecasting error rates and better ambulance allocation than the actual one.

Daily volume of cases in emergency call centers: construction and validation of a predictive model

Background

Variations in the activity of emergency dispatch centers are an obstacle to the rationalization of resource allocation. Many explanatory factors are well known, available in advance and could predict the volume of emergency cases. Our objective was to develop and evaluate the performance of a predictive model of daily call center activity.

Methods

A retrospective survey was conducted on all cases from 2005 to 2011 in a large medical emergency call center (1,296,153 cases). A generalized additive model of daily cases was calibrated on data from 2005 to 2008 (1461 days, development sample) and applied to the prediction of days from 2009 to 2011 (1095 days, validation sample). Seventeen calendar and epidemiological variables and a periodic function for seasonality were included in the model.

Results

The average number of cases per day was 507 (95% confidence interval: 500 to 514) (range, 286 to 1251). Factors significantly associated with increased case volume were the annual increase, weekend days, public holidays, regional incidence of influenza in the previous week and regional incidence of gastroenteritis in the previous week. The adjusted R for the model was 0.89 in the calibration sample. The model predicted the actual number of cases within ± 100 for 90.5% of the days, with an average error of −13 cases (95% CI: -17 to 8).

Conclusions

A large proportion of the variability of the medical emergency call center’s case volume can be predicted using readily available covariates.

Electronic supplementary material

The online version of this article (10.1186/s13049-017-0430-9) contains supplementary material, which is available to authorized users.

Differences in emergency ambulance demand between older adults living in residential aged care facilities and those living in the community in Melbourne, Australia

OBJECTIVE

To describe the clinical presentation and temporal variation in ambulance service cases involving patients aged 65 years or older (older adults) from residential aged care facilities and those who are community dwelling (CD).

METHODS

This study used four years of electronic case records from Ambulance Victoria in Melbourne, Australia. Trigonometric regression was used to analyse demand patterns.

RESULTS

Residential aged care facility cases included proportionally more falls and infection-related problems and fewer circulatory-related incidents than CD cases. Community dwelling demand patterns differed between weekdays and weekends and peaked late morning. Residential aged care facility cases peaked late morning, with a secondary peak early evening, but with no significant difference between days.

CONCLUSIONS

Older adult ambulance demand has distinct temporal patterns that differ by place of residence and are associated with different clinical presentations. These results provide a basis for informing ambulance planning and the identification of alternate health services.

Development of a novel information and communication technology system to compensate for a sudden shortage of emergency department physicians

Background

A sudden shortage of physician resources due to overwhelming patient needs can affect the quality of care in the emergency department (ED). Developing effective response strategies remains a challenging research area. We created a novel system using information and communication technology (ICT) to respond to a sudden shortage, and tested the system to determine whether it would compensate for a shortage.

Methods

Patients (n = 4890) transferred to a level I trauma center in Japan during 2012–2015 were studied. We assessed whether the system secured the necessary physicians without using other means such as phone or pager, and calculated fulfillment rate by the system as a primary outcome variable. We tested for the difference in probability of multiple casualties among total casualties transferred to the ED as an indicator of ability to respond to excessive patient needs, in a secondary analysis before and after system introduction.

Results

The system was activated 24 times (stand-by request [n = 12], attendance request [n = 12]) in 24 months, and secured the necessary physicians without using other means; fulfillment rate was 100%. There was no significant difference in the probability of multiple casualties during daytime weekdays hours before and after system introduction, while the probability of multiple casualties during night or weekend hours after system introduction significantly increased compared to before system introduction (4.8% vs. 12.9%, P < 0.0001). On the whole, the probability of multiple casualties increased more than 2 times after system introduction 6.2% vs. 13.6%, P < 0.0001).

Discussion

After introducing the system, probability of multiple casualties increased. Thus the system may contribute to improvement in the ability to respond to sudden excessive patient needs in multiple causalities.

Conclusions

A novel system using ICT successfully secured immediate responses from needed physicians outside the hospital without increasing user workload, and increased the ability to respond to excessive patient needs. The system appears to be able to compensate for a shortage of physician in the ED due to excessive patient transfers, particularly during off-hours.

Circadian variability of the initial Glasgow Coma Scale score in traumatic brain injury patients

INTRODUCTION

The Glasgow Coma Scale (GCS) score is the primary method of assessing consciousness after traumatic brain injury (TBI), and the clinical standard for classifying TBI severity. There is scant literature discerning the influence of circadian rhythms or emergency department (ED) arrival hour on this important clinical tool.

METHODS

Retrospective cohort analysis of adult patients suffering blunt TBI using the National Sample Program of the National Trauma Data Bank, years 2003-2006. ED arrival GCS score was characterized by midday (10 a.m.-4 p.m.) and midnight (12 a.m.-6 a.m.) cohorts (N=24548). Proportions and standard errors are reported for descriptive data. Multivariable regressions using odds ratios (OR), mean differences (B), and their associated 95% confidence intervals [CI] were performed to assess associations between ED arrival hour and GCS score. Statistical significance was assessed at p<0.05.

RESULTS

Patients were 42.48±0.13-years-old and 69.5% male. GCS score was 12.68±0.13 (77.2% mild, 5.2% moderate, 17.6% severe-TBI). Overall, patients were injured primarily via motor vehicle accidents (52.2%) and falls (24.2%), and 85.7% were admitted to hospital (33.5% ICU). Injury severity score did not differ between day and nighttime admissions.Nighttime admissions associated with decreased systemic comorbidities (p<0.001) and increased likelihood of alcohol abuse and drug intoxication (p<0.001). GCS score demonstrated circadian rhythmicity with peak at 12 p.m. (13.03±0.08) and nadir at 4am (12.12±0.12). Midnight patients demonstrated lower GCS (12 a.m.-6 a.m.: 12.23±0.04; 10 a.m.-4 p.m.: 12.95±0.03, p<0.001). Multivariable regression adjusted for demographic and injury factors confirmed that midnight-hours independently associated with decreased GCS (B=-0.29 [-0.40, -0.19]).In patients who did not die in ED or go directly to surgery (N=21862), midnight-hours (multivariable OR 1.73 [1.30-2.31]) associated with increased likelihood of ICU admission; increasing GCS score (per-unit OR 0.82 [0.80-0.83]) associated with decreased odds. Notably, the interaction factor ED GCS score*ED arrival hour independently demonstrated OR 0.96 [0.94-0.98], suggesting that the influence of GCS score on ICU admission odds is less important at night than during the day.

CONCLUSIONS

Nighttime TBI patients present with decreased GCS scores and are admitted to ICU at higher rates, yet have fewer prior comorbidities and similar systemic injuries. The interaction between nighttime hours and decreased GCS score on ICU admissions has important implications for clinical assessment/triage.

An analysis of Emergency Medical Services demand: Time of day, day of the week, and location in the city

OBJECTIVE

Effective planning of Emergency Medical Services (EMS), which is highly dependent on the analysis of past data trends, is important in reducing response time. Thus, we aimed to analyze demand for these services based on time and location trends to inform planning for an effective EMS.

MATERIALS AND METHODS

Data for this retrospective study were obtained from the Izmir EMS 112 system. All calls reaching these services during first six months of 2013 were descriptively analyzed, based on time and location trends as a heat-map form.

RESULTS

The analyses showed that demand for EMS varied within different time periods of day, and according to day of the week. For the night period, demand was higher at the weekend compared to weekdays, whereas for daytime hours, demand was higher during the week. For weekdays, a statistically significant relation was observed between the call distribution of morning and evening periods. It was also observed that the percentage of demand changed according to location. Among 30 locations, the five most frequent destinations for ambulances, which are also correlated with high population densities, accounted for 55.66% of the total.

CONCLUSION

The results of this study shed valuable light on the areas of call center planning and optimal ambulance locations of Izmir, which can also be served as an archetype for other cities.

Temporal trends in falls cases seen by EMS in Melbourne: The effect of residence on time of day and day of week patterns

BACKGROUND

Injury due to falls is a major public health problem, especially for older people. We aimed to determine the accuracy of the ambulance call taker triage algorithm relative to paramedic assessment, and characterise variation in ambulance service demand for falls cases involving older adults over time and by residence type.

METHOD

We obtained all ambulance case records for January 2008 to December 2011 for adults aged 65 or over in Melbourne, Australia. Data elements comprised age, gender, date and time of emergency call, dispatch category, location of incident and the patient's clinical condition as ascertained by paramedics. We compared cases coded as falls by the call taker triage algorithm with those identified by paramedics. We also examined temporal variation (hour of day and day of week) in ambulance service demand for cases involving older adults, and compared community-dwelling cases and those from Residential Aged Care Facilities (RACFs). We used negative binomial regression to compare counts and trigonometric regression to compare temporal variation patterns.

RESULTS

Over the four-year study period 77,891 falls cases involved older adults (6.5% of overall ambulance demand). Eighty-seven per cent of paramedic-assessed falls cases were correctly identified by the triage system. The RACF population was older (median age 87 years, IQR 82-91 vs. 82 years, IQR 76-87), had higher hospital transport rates (89.5% vs. 75.8%) and a higher incidence of falls at any age than the community-dwelling population. The temporal pattern for fall cases for all residence types peaked between 6:00 and 12:00, but fall cases from RACFs showed an additional peak in the evening between 17:00 and 20:00.

CONCLUSION

Falls by older people are the second-biggest contributor to ambulance demand in Melbourne, consuming significant operational resources. Using call taker triage data instead of paramedic case records to calculate falls cases may underestimate the true incidence of falls by up to 13%. Temporal patterns can inform ambulance service policy and practice, falls referral and prevention programmes to optimise service delivery which will lessen the number of future falls cases.

Why and when citizens call for emergency help: an observational study of 211,193 medical emergency calls

BACKGROUND

A medical emergency call is citizens' access to pre-hospital emergency care and ambulance services. Emergency medical dispatchers are gatekeepers to provision of pre-hospital resources and possibly hospital admissions. We explored causes for access, emergency priority levels, and temporal variation within seasons, weekdays, and time of day for emergency calls to the emergency medical dispatch center in Copenhagen in a two-year study period (December 1(st), 2011 to November 30(th), 2013).

METHODS

Descriptive analysis was performed for causes for access and emergency priority levels. A Poisson regression model was used to calculate adjusted ratio estimates for the association between seasons, weekdays, and time of day overall and stratified by emergency priority levels.

RESULTS

We analyzed 211,193 emergency calls for temporal variation. Of those, 167,635 calls were eligible for analysis of causes and emergency priority level. "Unclear problem" was the most frequent category (19%). The five most common causes with known origin were categorized as "Wounds, fractures, minor injuries" (13%), "Chest pain/heart disease" (11%), "Accidents" (9%), "Intoxication, poisoning, drug overdose" (8%), and "Breathing difficulties" (7%). The highest emergency priority levels (Emergency priority level A and B) were assigned in 81% of calls. In the analysis of temporal variation, the total number of calls peaked at wintertime (26%), Saturdays (16%), and during daytime (39%).

CONCLUSION

The pattern of citizens' contact causes fell into four overall categories: unclear problems, medical problems, intoxication and accidents. The majority of calls were urgent. The magnitude of unclear problems represents a modifiable factor and highlights the potential for further improvement of supportive dispatch priority tools or educational interventions at dispatch centers. Temporal variation was identified within seasons, weekdays and time of day and reflects both system load and disease occurrence. Data on contact patterns could be utilized in a public health perspective, benchmarking of EMS systems, and ultimately development of best practice in the area of emergency medicine.