In prehospital emergency medicine, the importance of optimal use of the golden hour, the first hour after an accident, is commonly accepted. In the Netherlands, there is a good coverage of ground ambulance care with nurse EMT’s, supported by four helicopter emergency medical services (HEMS) with a physician (either an anaesthesiologist or a trauma surgeon) on board. In the Netherlands these HEMS are called Mobile Medical Teams (MMT), and are complementary in the trauma care delivered by ambulances [
The advantage of transport to hospital by air transport in a densely populated, rural setting can be debated. Although we found some literature that the helicopter is faster than the ambulance when travelling to the scene of an accident [
We used data from the Nijmegen HEMS, which covers the south and eastern part of the Netherlands, a generally rural area. This HEMS is a 24/7 present team, which is dispatched to an incident by the regional ambulance dispatch centre.
Within the operating area of this HEMS are 5 trauma centres. Specialized burn clinics are not located in the regular operating area and burn patients have to be transported relatively far (approximately 100 kilometres). Local hospitals are readily available throughout the entire area, but do not offer definitive treatment for severe injuries and traumatic brain injury (TBI). Paediatric ICU care is only available in 3 of the 5 surrounding level 1 trauma centres. In some cases, the dispatch is for an incident outside the normal area, when additional trauma care is asked for by the surrounding dispatch centres or MMT’s.
This is a retrospective study. The Nijmegen HEMS uses an MS-Access database, in which the HEMS physician fills in an extensive amount of logistical and medical data after each scramble. We used data from this database over the period of 2010 and 2011. We extracted the following variables from this database: date, time, location of accident, location of landing, MIST-report of ambulance nurse, treatment report from the HEMS physician, Revised Trauma Score (RTS), and need for intubation.
Extracted data were imported in a custom made FileMaker Pro 11 database, which was used for further data collection. Using Google Maps, we calculated the fastest (not necessarily the shortest) ground route to the hospital in kilometres, and thus a target time in minutes. This calculated target time is the optimal travel time while respecting speed limits. Using this target time, we calculated a relative transport time (RTT), the actual measured transport time divided by the calculated target time. This is expressed as a percentage of the target time, for example, a relative transport time of 50% means the transport took half of the calculated target time.
For trauma mechanism, the following variables were dichotomously “yes or no” scored: high-energetic, traumatic brain injury, resuscitation on scene, need for intubation, child (age < 16 years), drowning, and burn wounds.
The weather conditions were difficult to obtain, because there is no accurate public available record of the exact weather condition at the moment of scramble. Therefore, we collected data from the national weather institute (KNMI), which are averages for amount of rain, presence of snow, wind direction, and temperature for that day.
The air distance is measured in a straight line from the scene of accident to the hospital, regardless of actual landing zone. We used the website
Initially all patients recorded in the Nijmegen HEMS database between 1-1-2010 and 31-12-2011 were included, but in case the physician did not accompany the patient to the hospital, this record was excluded.
We used SPSS statistics version 19 by IBM for statistical analysis. For analysis of occurrence of trauma mechanisms, we calculated the presence of the various trauma mechanisms within both transport methods (ambulance versus HEMS). Differences were tested using a Pearson’s chi-square. To analyze the effect of the different trauma mechanisms on transport time we used an independent samples
Within the selected period 1394 scrambles (686 in 2010 and 708 in 2011) were recorded by the Nijmegen HEMS. Of these 634 were excluded because the physician did not accompany the patient to the hospital. Essential values were missing in 28 cases, leaving 732 cases in the analyses. A total of 612 patients were transported by ambulance (84%) and 120 patients by HEMS (16%). There is no significant difference between groups for physiological disturbance of the trauma patient as compared by Revised Trauma Score (RTS): mean RTS for ambulance: 9, 5, HEMS: 9, 4,
In Table
Patient or trauma characteristics. Number (percentage) of patient characteristics per transport method.
Total ( |
Ambulance ( |
HEMS ( | |
---|---|---|---|
High energy trauma | 483 (34%) | 399 (65%) | 84 (70%) |
Traumatic brain injury | 424 (58%) | 346 (57%) | 78 (65%) |
Intubation* | 447 (61%) | 339 (55%) | 108 (90%) |
Resuscitation | 72 (10%) | 67 (11%) | 6 (5.0%) |
Child (age < 16 years)* | 114 (16%) | 86 (14%) | 28 (23%) |
Drowning | 21 (2.9%) | 19 (3.1%) | 2 (1.7%) |
Burn wounds* | 18 (2.5%) | 11 (1.8%) | 7 (5.8%) |
*
Table
Transport characteristics.
Transport method | Mean (95% confidence interval) | |
---|---|---|
Relative transport Time@* | Ambulance | 79 (77.1–80.3) |
HEMS | 39 (37.1–41.3) | |
| ||
Distance in km (road)* | Ambulance | 29 (27.6–30.0) |
HEMS | 62 (57.2–66.6) | |
| ||
Average speed in km/h* | Ambulance | 79 (76.8–81.1) |
HEMS | 131 (125.4–136.3) | |
| ||
Average time benefit in minutes* | Ambulance | 7 (6.3–7.4) |
HEMS | 32 (29.5–33.6) |
*
Results differ significantly (
@Relative transport time was calculated relative to the transport time predicted by Google Maps.
In Table
Mean relative transport time by patient characteristics.
Trauma mechanism | Ambulance | HEMS | ||||
---|---|---|---|---|---|---|
No* | Yes* |
|
No* | Yes* |
| |
High energy trauma | 79 | 79 | 0.67 | 41 | 39 | 0.43 |
Traumatic brain injury | 79 | 78 | 0.35 | 40 | 39 | 0.55 |
Intubation | 78 | 79 | 0.38 | 49 | 38 | 0.15 |
Resuscitation | 78 | 84 | 0.03 | 39 | 40 | 0.85 |
Child | 78 | 81 | 0.31 | 39 | 39 | 0.89 |
Burn wounds | 79 | 84 | 0.33 | 39 | 47 | 0.06 |
Drowning | 79 | 82 | 0.42 | 39 | 39 | 0.99 |
* Values represent the relative transport time.
Also, none of the external influences we tested (snow, frost, night time, and wind direction) showed significant impact on transport time. We also tried to show the effect of nearby or distant landing facilities on average transport time, but there were only 6 air transports to hospitals with distant landing facilities, making adequate analysis impossible.
The effect of distance on relative transport time is shown in Figure
Scatter plot with linear regression lines per transport method. Average relative transport time per distance for both HEMS helicopter and ambulance with linear regression line.
There was no helicopter transport at a distance less than 20 km, so we have no data from the HEMS at short distance, but overall in this dataset helicopter transport is nearly twice as fast as ambulance transport. This is consistent with Figure
Scatter plot with absolute minutes of time benefit per distance with linear regression lines. Absolute time benefit is defined as actual transport time minus predicted transport time (by Google Maps).
The main question in this study was: what factors contribute to a faster or slower helicopter transport, and when is it faster to fly and when is it faster to drive to the hospital. Our hypothesis was that the helicopter is faster at longer distance than the ambulance, because of the higher maximum speed and the straight line that can be followed, but it is slower at shorter distance due to taking off and landing procedures. However, the results of this study show that even on short distance, air transport by HEMS was nearly always faster, independent of trauma mechanism. The exact threshold when it is faster to transport by HEMS cannot be determined with this data, because we have no HEMS transport data below 20 kilometres. We are aware that local infrastructure, density of hospitals, and availability of landing facilities each have impact on transport time. However, a smaller study on this subject performed in the starting years of the Nijmegen HEMS shows equal results, which are even significant on distances starting from 10 kilometres [
Another point of discussion is that the relative transport time (RTT) decreases for the ambulance with distance more than for the helicopter, so in theory the ambulance would be faster on even longer distances than the helicopter. This is theoretically impossible since the top speed for the helicopter is much higher than that of an ambulance. The decrease in ambulance RTT with distance only shows that distance has a larger impact on the ambulance transport time, whereas the helicopter has reached a constant peak velocity at 20 kilometres, keeping the RTT stable. Also, we used Google Maps to calculate a target time. Although we do not know what algorithms are used to produce the target times, we can safely assume the results are at least consistent. Even if the target times are not accurate, the relative difference between ambulance and helicopter is still valid.
The average absolute time benefit for the ambulance was 7 minutes, and for the helicopter it was 31 minutes. However, the helicopter is used on significantly longer distance while the ambulance is mainly used for short distance, so the absolute time benefit should be calculated per distance, as is shown in Figure
The transport times of the HEMS helicopter include unloading and transport to the ER for the heliport. However, it does not include loading the patient in the HEMS helicopter. This time can be substantial when the helicopter had landed at distance from the accident, and should be taken in consideration for each transport individually. Another point of discussion is that the retrospectively found weather reports are averages of that day, and there is no guarantee that these are representative of the actual conditions the HEMS faced at the moment of scramble. Further study with more accurate weather descriptions is needed to show the influence of the weather conditions on transport time for both ground and air transport.
Finally, we only studied transport time, and did not look at outcome, for example, did faster transport really lead to less morbidity and less mortality? We have found quite some literature that shows helicopter transport to reduce mortality in trauma patients [
This study has some limitations. This is a retrospective study, which has not been randomized. However, a double blind study is impossible and a randomized study is highly impractical.
We may have some missing or inaccurate data, which cannot be prevented given the setup of this study. We rely on accurate administration by the HEMS doctors. Because the HEMS crew is required to register landing locations very precisely, we trust that this administration is accurate. Weather data are averages of that day for each region and cannot be a fully accurate representation.
With present data, we have shown that trauma mechanism, injury severity, and weather influence do not influence the transport time of patients from the scene of accident to the hospital for both HEMS helicopter and ground ambulance transport. However, our results clearly show the enormous advantage of the HEMS air transport on transport time, compared to transport by ground ambulance in the Netherlands. For the ambulance, the transport time averages at 79% of predicted transport time by Google Maps, for the HEMS this transport time is 39%: nearly twice as fast.
We strongly recommend good landing facilities at receiving hospitals to make optimal use of this fast method of transportation. The time benefit over ambulance transport can be lost when inadequate landing facilities force distant landing. For optimisation of helicopter transport times to specialized trauma centres, heliports near the emergency department are essential.