Skip to main content
  • Original research
  • Open access
  • Published:

Dispatch accuracy of physician-staffed emergency medical services in trauma care in south-east Norway: a retrospective observational study



Selection of incidents and accurate identification of patients that require assistance from physician-staffed emergency medical services (P-EMS) remain essential. We aimed to evaluate P-EMS availability, the underlying criteria for dispatch, and the corresponding dispatch accuracy of trauma care in south-east Norway in 2015, to identify areas for improvement.


Pre-hospital data from emergency medical coordination centres and P-EMS medical databases were linked with data from the Norwegian Trauma Registry (NTR). Based on a set of conditions (injury severity, interventions performed, level of consciousness, incident category), trauma incidents were defined as complex, warranting P-EMS assistance, or non-complex. Incident complexity and P-EMS involvement were the main determinants when assessing the triage accuracy. Undertriage was adjusted for P-EMS availability and response and transport times.


Among 19,028 trauma incidents, P-EMS were involved in 2506 (13.2%). The range of overtriage was 74–80% and the range of undertriage was 20–32%. P-EMS readiness in the event of complex incidents ranged from 58 to 70%. The most frequent dispatch criterion was “Police/fire brigade request immediate response” recorded in 4321 (22.7%) of the incidents. Criteria from the groups “Accidents” and “Road traffic accidents” were recorded in 10,875 (57.2%) incidents, and criteria from the groups “Transport reservations” and “Unidentified problem” in 6025 (31,7%) incidents. Among 4916 patient pathways in the NTR, 681 (13.9%) could not be matched with pre-hospital data records.


Both P-EMS availability and dispatch accuracy remain suboptimal in trauma care in south-east Norway. Dispatch criteria are too vague to facilitate accurate P-EMS dispatch, and pre-hospital data is inconsistent and insufficient to provide basic data for scientific research. Future dispatch criteria should focus on the care aspect of P-EMS. Better tools for both dispatch and incident handling for the emergency medical coordination centres are essential. In general, coordination, standardisation, and integration of existing data systems should enhance the quality of trauma care and increase patient safety.


Physician-staffed emergency medical services (P-EMS) are integrated in the health system of most high-income countries [1]. The benefits of P-EMS are largely based on an assumed superiority of care, but the effects on morbidity and mortality remain debated [2,3,4]. In pre-hospital trauma care, specially trained physicians capable of performing advanced life support (ALS) procedures and the use of advanced point-of-care diagnostics may improve patient outcome [5,6,7]. Timely and accurate identification of patients predicted to benefit from P-EMS assistance, along with triaging patients to the designated hospital for definitive treatment, remain essential.

Selection of incidents that require P-EMS attendance, including the underlying dispatch criteria, is a designated area of research [8,9,10]. Advanced trauma care consists of a series of complex interventions involving heterogeneous populations and conditions, over various time intervals, by different providers with varying skill set, and in different organisational settings. Because of this complexity, trauma research is intricate and literature on the subject is characterised by numerous studies with large heterogeneity as well as varying quality of evidence [2, 11,12,13,14].

We aimed to evaluate P-EMS availability, the underlying criteria for dispatch, and the corresponding dispatch accuracy of trauma care in south-east Norway in 2015, to identify areas for improvement.



The study was conducted in south-east Norway with a catchment population of approximately 3 million (60% of Norway’s population) in 2015. The region housed 16 hospitals with trauma care functions (hereinafter referred to as trauma hospitals), in addition to the major trauma centre at Oslo University Hospital (OUH), Ullevål (Fig. 1).

Fig. 1
figure 1

Map depicting selected Norwegian pre-hospital health resources in 2015

P-EMS in south-east Norway

Advanced pre-hospital treatment is provided by anaesthesiologist-staffed helicopter emergency medical services (HEMS), search and rescue (SAR) helicopters and rapid response cars (RRCs) without patient transport capacity. There are four HEMS bases in south-east Norway deploying five helicopters (two at Lørenskog), and one SAR base at Rygge (deploying one helicopter). HEMS respond to both trauma and medical emergencies and have the capacity of performing daylight rescue operations [15]. SAR perform offshore evacuations and rescue operations at all hours and can assist in both trauma and medical emergencies [16]. Both HEMS and SAR undertake primary and secondary missions (Table 1).

Table 1 Mission categories

All HEMS and SAR bases deploy RRCs in the vicinity of the base or when weather or technical issues prevent use of the helicopters. In addition, one stand-alone RRC is located at OUH Ullevål. All units are staffed by consultant anaesthesiologists, operating on a 24/7/365-basis. Since 2015, three more anaesthesiologist-staffed RRCs have been established in the region, however none operating at all hours.

Emergency medical coordination centres (EMCC) and incident management

The region’s five EMCCs are staffed by specially educated nurses and EMS personnel using “Norwegian Index for Medical Emergencies” (Index), a criteria-based system for dispatch of EMS resources [17, 18]. The Index is organised in operative chapters, with corresponding sets of criteria and EMCC operator user guidance for accidents, medical conditions, and special circumstances (e.g. major incidents). Emergency calls are logged as incidents leading to dispatch of EMS resources (missions). All incidents are logged with a dispatch criterion chosen by the EMCC operator [19]. Norway does not have specific criteria for P-EMS dispatch [20].

AMIS (CSAM Health AS, Oslo, Norway) is the proprietary computer-aided dispatch system (CAD) applied by all the EMCCs in Norway. It contains incident log numbers, dispatch criteria and response level, operational descriptors, patient descriptors and general log data. Data are registered according to the sample structure depicted in Fig. 2.

Fig. 2
figure 2

AMIS data structure, depicting the one-to-many relationship between incidents, patients, and missions. Traumas and accidents are recorded on an incident level with the associated number of patients and missions involved

The Norwegian trauma system and the Norwegian Trauma Registry

A national trauma system was established in Norway in 2007 establishing a tiered-system with strategically located hospitals specialised in trauma care [21].

The Norwegian Trauma Registry (NTR) is a quality registry providing information on the extent and characteristics of severely injured patients, and the content and outcomes of the treatment provided [22].

Study design

This is a retrospective observational study based on AMIS records from five different EMCC databases, medical records from one SAR and three HEMS databases, and records from NTR limited to patient pathways from south-east Norway.

Data processing

The data from AMIS records was extensively cleaned due to poor quality and frequent incorrect input. Trauma incidents were initially identified by filtering on 94 selected dispatch criteria (Additional file 1). Primary missions were verified through manual assessment. Non-trauma incidents, trauma incidents containing only secondary missions and incidents without dispatch were excluded. The dispatched primary trauma incidents were then grouped into incidents with or without P-EMS involvement. HEMS rejections attributable to weather conditions, fatigue management regulations or technical issues were assessed as P-EMS involvement, indicating that EMCC considered P-EMS deployment in the dispatch phase. The incidents where further categorised as complex- or non-complex (Table 2).

Table 2 Conditions defining complex incidents

Patient pathways from NTR were matched with AMIS incidents through the patient’s social security number (11-digit number), birth date, and the incident time. The initial match for patient pathways in NTR involved in complex incidents was just above 50% since numerous incidents were recorded with different dispatch criteria than the 94 criteria (Additional file 1) used to filter the first data extraction. In addition, both AMIS and NTR had missing or incomplete social security numbers. The accuracy increased to 86% after the unfiltered AMIS data was checked, and new matches manually verified. The remaining unmatched patient pathways in NTR were, unsuccessfully, attempted matched through various timestamp data (Fig. 3).

Fig. 3
figure 3

Pre-hospital timeline

Incident complexity and P-EMS involvement were the main determinants when assessing the initial triage accuracy. Considering the regional differences in P-EMS coverage, undertriage was adjusted for the time aspect by examining P-EMS availability and response and transport times. The availability assessment was based on the registered time point of when P-EMS returned to service (Fig. 3).

If the unit was vacant or returned to service during the first 10 min after an incident was logged, it was considered available. Availability check for the RRC at OUH Ullevål, was restricted to incidents in the Oslo municipality (identified by municipality number).

Since Norway does not have specific criteria for P-EMS dispatch [20], a modified version of the Danish criteria of 2014 (Table 3), was applied to benchmark time expenditure [24].

Table 3 Modified Danish criteria for HEMS dispatch in 2014

The Danish criteria were chosen due to certain common features of our EMS systems and the ongoing Nordic efforts to identify and develop common quality indicators to develop comparable data [25]. We changed the term “nearest trauma centre” to “nearest trauma hospital” because of topographic differences. Denmark (43’ km2), with less than half of the surface area of south-east Norway (111’ km2), has four trauma centres. In comparison, south-east Norway has one trauma centre with response and transport times that can be considerably longer than in Denmark.

Due to the considerable portion of unmatched patient pathways in NTR, the results are reported in a confusion matrix (Table 4) with estimated ranges that account for the uncertainty of which incidents these pathways originate from. Unmatched pathways could initially originate from both complex and non-complex incidents, with or without P-EMS involvement.

Table 4 Confusion matrix of trauma incidents with dispatch of primary missions:

Both the response and transport times and the distances were calculated by OpenRouteService (—Heidelberg Institute for Geoinformation Technology, Heidelberg, Germany) server by deploying data from OpenStreetMap (—OpenStreetMap Foundation, Cambridge, United Kingdom).

The Standards for Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines were consulted [26].


In 2015, we identified 19,028 trauma incidents which lead to dispatch of at least one primary EMS mission in south-east Norway (Fig. 4). Among these, P-EMS were involved in 2506 (13.2%) (Table 4).

Fig. 4
figure 4

Track down of incidents, depicting categorisation, P-EMS involvement, triage and NTR pathways

The calculated initial range of undertriage was 49–61%. Among the incidents categorised as undertriage, no P-EMS were time saving in 338 incidents (42–53%). When adjusted for availability and response and transport times, the range of undertriage decreased to 20–32%. The calculated range of overtriage was 74–80%. We identified seven trauma incidents where overtriage led to missed tasking, depriving P-EMS assistance to other complex incidents. The most vulnerable P-EMS unit to trauma overtriage was the RRC at OUH Ullevål which was affected in five of the cases.

The general P-EMS readiness in the event of complex incident ranged from 58 to 70%.

Among the 4,916 patient pathways from south-east Norway in NTR, we were unable to match 681 (13.9%).

The most frequent dispatch criterion was “Police/fire brigade request immediate response” from the group “Transport reservations” recorded in 4321 (22.7%) of the incidents (Fig. 5). Criteria from the groups “Accidents” and “Road traffic accidents” were recorded in 10,875 (57.2%) incidents, of where “Possible serious injury” accounted for 6668 (61.3%) of them. Criteria from the groups “Transport reservations” and “Unidentified problem” were recorded in 6025 (31.7%) incidents.

Fig. 5
figure 5

Dispatch criteria overview

A criterion from the group “Major incident” was recorded in 45 (0.2%) of the incidents, of where “Fire/explosion—on land” accounted for 21 of them.

In 513 (2.7%) trauma incidents, two or more EMCCs were involved. Among these incidents, differing dispatch criteria were recorded in 346 (67.4%) of the cases, whilst different incident and/or mission categories were recorded in 121 (23.6%) and 61 (12.0%), respectively.


We found that the undertriage of P-EMS dispatch in south-east Norway ranged between 20 and 32% when adjusted for availability and response and/or transport times. Our key findings indicate that triage decisions and dispatch practise of P-EMS have several potentials for improvement. Dispatch criteria are vague, and source data are inconsistent.


No consensus on accepted levels of triage precision exists [27,28,29]. The American College of Surgeons Committee on Trauma (ACS-COT) reflects that an adequate percentage of overtriage is in the range of 25–35% [30]. Overtriage decreases P-EMS availability by depriving other victims’ access to advanced pre-hospital critical care. Furthermore, it carries unnecessary risk, financial costs, and personnel fatigue. Reducing the substantial level of overtriage (74–80%) of P-EMS in south-east Norway remains an obvious area for improvement.

P-EMS undertriage is of more concern because it may result in preventable mortality or morbidity [31]. ACS-COT has defined < 5% as the acceptable level of undertriage [30]. Wisborg et al. [32] found that only half of the severely injured trauma victims in Norway were reached by P-EMS in 2013. Our initial calculated range of undertriage (49–61%) is in line with this finding. When adjusted for availability and response and transport times, the undertriage range decreased to 20–32%. In areas with scarce P-EMS coverage or when the nearest P-EMS unit was unavailable, vacant units proved non-eligible due to long response or transport times distance in 30–42% of the times. This suggests that the general P-EMS readiness in the event of complex incidents is too low. Several local RRCs have emerged since the study data was collected. The effect on both P-EMS availability and triage remains to be seen and should be addressed in future studies. RRCs are less costly as well as easier to establish and operate. Assuming an adequate volume of missions, RRCs seem like a promising adjunct to HEMS in areas with scarce HEMS coverage, provided concurrent dispatch of RRC and HEMS for primary response to scene and secondary transfer to trauma centre, respectively.


Optimal P-EMS dispatch remains controversial. No globally recognised guidelines exist, and the evidence base remains weak. In a wealthy nation like Norway, with a well-equipped prehospital system, it is remarkable that specific criteria for P-EMS dispatch are missing. It is outside the scope of this study to discuss possible explanations to this shortcoming. However, P-EMS is a limited and costly resource, and optimal utilisation with focus on accurate dispatch guidelines should continuously be on the agenda for decision-makers of any EMS-system. In Denmark, P-EMS dispatch is based on selected criteria [both anatomical, physiological, and mechanisms of injury (MOI)] and incident type, in combination with time criteria. The Danish set of criteria is a translation of the Norwegian Index, adapted to Danish conditions. Whether anatomical or physiological criteria or MOI form the best basis of dispatch, remain debated [11, 33, 34]. Further, time criteria only concern the transport aspect of P-EMS. We suggest focusing on the care aspect of P-EMS, by including the competency and quality dimension provided by the physician in future guidelines, to improve dispatch accuracy.

Our set of criteria defining complex incidents warranting P-EMS has deliberately focused on documented items like ALS procedures, medication, and NISS. Initial GCS was included as the only physiological parameter given that a relatively uniform practise in reporting has been established, and because it extensively used to classify traumatic brain injury (TBI) into levels of severity and prognosis [35, 36]. Major incident was included since the public anticipates “exhaustive use” of resources in such events. The incidence of 45 major incidents, based on dispatch criteria solely, in 2015 is however not compatible with the findings of Johnsen et al. [37], who identified 50 major incidents in Norway from 2000 to 2016. This sustains the need of commonly developed definitions as well as training of personnel to achieve an agreed understanding of the term.

We found that one third of the dispatch criteria related to the pending nature of the incident, like “Transport reservation” and “Unidentified problem”. Another third was logged with the criterion “Possible serious injury” from the groups “Road traffic accidents” and “Accidents”. In total, more than two thirds of the dispatch criteria are non-specific or vague. In literature, dispatch and triage criteria have traditionally been categorised according to their nature as physiological, anatomical or MOI [11], but none of these categories are attributable in this context. This complicates the inclusion of dispatch criteria in e.g. regression analysis to detect variables that correlate with severe traumas. In general, we believe removal of criteria like “Possible serious injury” or vague criteria from chapters like “Transport reservation” or “Unidentified problem” is fundamental in future efforts to make the criteria more accurate.

Data quality

Through the data analysis we learned that the inconsistencies in the pre-hospital data were considerable. The EMCCs utilise proprietary CAD clients, without a common registration platform or standardised registrations options. This results in separate names for units, institutions, and categorisation in general. Further, dispatch of P-EMS is subject to unitary coordination causing overlap in catchment/operating areas and EMCC interaction. The latter allows for double recording by the EMCCs involved, carrying divergence in time registration, scene coordinates, dispatch criteria and mission-/incident categorisation. All these factors strongly confuse data compilation, rendering data analysis difficult and complicate scientific research efforts in the field. In addition, the Index is applied to a variable extent, both on an individual operator level and amongst the EMCCs [38, 39].

In 2015, 1.2% of the trauma patients in Norway were brought to a trauma hospital in private vehicles without involvement of EMS and incident recording in AMIS [32]. Still, the main reasons for the non-match between patient pathways in NTR and AMIS incidents, are differences in the recording of patient ID and time logistics among the systems. A relatively easy solution to this problem would be to integrate the CAD incident log number as one data field in NTR.


Data originates from 2015, due to several reasons. A lengthy legal process concerning the establishment and launch of the NTR, and subsequent technical issues in terms of data collection and distribution caused a significant delay in study start, analysis and completion. We were not able to obtain medical data from the HEMS base at Dombås. Consequently, we have no data on TXA administration from that base. However, the actual incidents may well have been re-captured if they were categorised as complex through relating NTR records.

The grading of children’s level of consciousness may be inaccurate, since GCS is the only parameter registered in NTR.

Since 2015, there has been a minor syntactical revision to the Index. This revision has neither altered the structure of the Index nor dispatch practise in general, and we do not consider it to influence on our findings. Given the retrospective design, the study is limited to data variables in existing registries. The structural inconsistency and poor data quality of AMIS is substantial, rendering more in-depth data analysis challenging. The value range of the “true negatives” (non-complex incidents without P-EMS involvement; D-cell of Table 4) is in that respect “constructed”, since the extraction of trauma incidents originate from data based on the selected criteria-filter (Additional file 1).

Also, NTR records from the implementation phase in 2015 is inconsistent. Although these factors complicate synthesis of data between the registries, it remains difficult to estimate the actual impact on our findings.

In general, the external validity of the study is limited by the characteristics of the Norwegian trauma system and similar systems abroad.


P-EMS dispatch in trauma care in south-east Norway suffered from an overtriage between 74 and 80% and an undertriage between 20 and 32%, when adjusted for concurrency and response and transport times. The general P-EMS readiness in the event of complex incident ranged from 58 to 70%. Index criteria are too vague to facilitate accurate P-EMS dispatch. Inclusion of the competency and quality dimension provided by the physician in future guidelines should be investigated in efforts to improve P-EMS dispatch accuracy. Existing CAD system data is inconsistent and insufficient to provide basic data for scientific research. These factors call for better tools for both dispatch and incident handling for the EMCCs. Future studies are warranted on both validation of Index and in-depth analysis of the core data quality of the applied CAD system. In general, coordination, standardisation, and integration of existing data systems should enhance the quality of trauma care and increase patient safety.

Availability of data and materials

Data for this study is stored pursuant to the security requirements stated by the Regional Committee for Medical and Health Research Ethics at Oslo University Hospital and at the Medical Faculty, University of Oslo. The unidentified datasets used for analysis for the current study are available through the corresponding author on reasonable request.



American College of Surgeons Committee on Trauma


Advance life support


The emergency medical information system applied by Norwegian EMCCs


Computer-aided dispatch


Damage control surgery


Emergency department


Emergency medical communication centre


Emergency medical services


Glasgow coma scale


Ground emergency medical services


Helicopter emergency medical services


Intracranial injury


Injury severity score


Mechanisms of injury


National advisory committee for aeronautics


New injury severity score


Norwegian trauma registry


Oslo University Hospital


Physician-manned emergency medical services


Search and rescue


Strengthening the reporting of observational studies in epidemiology


Traumatic brain injury


Tranexamic acid


  1. Kristiansen T, Soreide K, Ringdal KG, Rehn M, Kruger AJ, Reite A, Meling T, Naess PA, Lossius HM. Trauma systems and early management of severe injuries in Scandinavia: review of the current state. Injury. 2010;41(5):444–52.

    Article  Google Scholar 

  2. Risgaard B, Draegert C, Baekgaard JS, Steinmetz J, Rasmussen LS. Impact of physician-staffed helicopters on pre-hospital patient outcomes: a systematic review. Acta Anaesthesiol Scand. 2020;64(5):691–704.

    Article  Google Scholar 

  3. Franschman G, Verburg N, Brens-Heldens V, Andriessen TMJC, Van der Naalt J, Peerdeman SM, Valk JP, Hoogerwerf N, Greuters S, Schober P, et al. Effects of physician-based emergency medical service dispatch in severe traumatic brain injury on prehospital run time. Injury-Int J Care Injured. 2012;43(11):1838–42.

    Article  CAS  Google Scholar 

  4. Galvagno SM Jr, Sikorski R, Hirshon JM, Floccare D, Stephens C, Beecher D, Thomas S. Helicopter emergency medical services for adults with major trauma. Cochrane Database Syst Rev. 2015;12:CD009228.

    Google Scholar 

  5. Andruszkow H, Lefering R, Frink M, Mommsen P, Zeckey C, Rahe K, Krettek C, Hildebrand F. Survival benefit of helicopter emergency medical services compared to ground emergency medical services in traumatized patients. Crit Care. 2013;17(3):1–10.

    Article  Google Scholar 

  6. Pakkanen T, Virkkunen I, Kamarainen A, Huhtala H, Silfvast T, Virta J, Randell T, Yli-Hankala A. Pre-hospital severe traumatic brain injury—comparison of outcome in paramedic versus physician staffed emergency medical services. Scand J Trauma Resusc Emerg Med. 2016;24(1):62.

    Article  Google Scholar 

  7. Pakkanen T, Kamarainen A, Huhtala H, Silfvast T, Nurmi J, Virkkunen I, Yli-Hankala A. Physician-staffed helicopter emergency medical service has a beneficial impact on the incidence of prehospital hypoxia and secured airways on patients with severe traumatic brain injury. Scand J Trauma Resusc Emerg Med. 2017;25(1):94.

    Article  Google Scholar 

  8. Fevang E, Lockey D, Thompson J, Lossius HM, Torpo Research C. The top five research priorities in physician-provided pre-hospital critical care: a consensus report from a European research collaboration. Scand J Trauma Resusc Emerg Med. 2011;19:57.

    Article  Google Scholar 

  9. Bache KG, Rehn M, Thompson J. Seven years since defining the top five research priorities in physician-provided pre-hospital critical care—what did it lead to and where are we now? Scand J Trauma Resusc Emerg Med. 2018;26(1):101.

    Article  Google Scholar 

  10. Snooks H, Evans A, Wells B, Peconi J, Thomas M, Woollard M, Guly H, Jenkinson E, Turner J, Hartley-Sharpe C. What are the highest priorities for research in emergency prehospital care? Emerg Med J. 2009;26(8):549.

    Article  Google Scholar 

  11. Ringburg AN, De Ronde G, Thomas SH, Van Lieshout EMM, Patka P, Schipper IB. Validity of helicopter emergency medical services dispatch criteria for traumatic injuries: a systematic review. Prehosp Emerg Care. 2009;13(1):28–36.

    Article  Google Scholar 

  12. Campbell M, Fitzpatrick R, Haines A, Kinmonth AL, Sandercock P, Spiegelhalter D, Tyrer P. Framework for design and evaluation of complex interventions to improve health. BMJ. 2000;321(7262):694.

    Article  CAS  Google Scholar 

  13. Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ. 2008;337:a1655.

    Article  Google Scholar 

  14. Hillman K, Chen J, May E. Complex intensive care unit interventions. Crit Care Med. 2009;37(1 Suppl):S102-106.

    Article  Google Scholar 

  15. Samdal M, Haugland HH, Fjeldet C, Rehn M, Sandberg M. Static rope evacuation by helicopter emergency medical services in rescue operations in Southeast Norway. Wilderness Environ Med. 2018;29(3):315–24.

    Article  Google Scholar 

  16. Samdal M, Eiding H, Markengbakken L, Roislien J, Rehn M, Sandberg M. Time course of hoist operations by the search and rescue helicopter service in Southeast Norway. Wilderness Environ Med. 2019;30(4):351–61.

    Article  Google Scholar 

  17. Norwegian Medical Association: Norsk indeks for medisinsk nødhjelp (Norwegian Index of Emergency Medical Assistance), 3rd edn. Stavanger: The Laerdal Foundation for Acute Medicine; 2009.

  18. Zakariassen E, Burman RA, Hunskaar S. The epidemiology of medical emergency contacts outside hospitals in Norway—a prospective population based study. Scand J Trauma Resusc Emerg Med. 2010;18:9.

    Article  Google Scholar 

  19. Norwegian Directorate of Health: Registreringsveileder. Opplysninger fra AMK-sentralene. Rapportering til Norsk pasientregister (NPR) (EMCC registration guide). IS2042. Oslo:Helsedirektoratet; 2013.

  20. Osteras O, Brattebo G, Heltne JK. Helicopter-based emergency medical services for a sparsely populated region: a study of 42,500 dispatches. Acta Anaesthesiol Scand. 2016;60(5):659–67.

    Article  CAS  Google Scholar 

  21. National working group: Traumesystem i Norge (Trauma system in Norway). The Regional Health Authorities of Norway; 2006.

  22. The National Trauma Registry: The National Trauma Registry—Annual Report; 2015.

  23. Pearson WS, Ovalle F Jr, Faul M, Sasser SM. A review of traumatic brain injury trauma center visits meeting physiologic criteria from The American College of Surgeons Committee on Trauma/Centers for Disease Control and Prevention Field Triage Guidelines. Prehosp Emerg Care. 2012;16(3):323–8.

    Article  Google Scholar 

  24. Steering group of physician-staffed HEMS in Denmark.Visitations- og disponeringsretningslinjer for den landsdækkende akutlægehelikopterordning i Danmark (National guidelines for dispatch of physician-staffef HEMS in Denmark). 2014.

  25. Haugland H, Olkinuora A, Rognås L, Ohlen D, Krüger A. Testing quality indicators and proposing benchmarks for physician-staffed emergency medical services: a prospective Nordic multicentre study. BMJ Open. 2019;9(11):e030626.

    Article  Google Scholar 

  26. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Ann Intern Med. 2007;147(8):573–7.

    Article  Google Scholar 

  27. Dami F, Golay C, Pasquier M, Fuchs V, Carron P-N, Hugli O. Prehospital triage accuracy in a criteria based dispatch centre. BMC Emerg Med. 2015;15(1):32.

    Article  Google Scholar 

  28. The American College of Surgeons—Committee on Trauma: Resources for optimal care of the injured patient. Chicago; 2006.

  29. Bohm K, Kurland L. The accuracy of medical dispatch—a systematic review. Scand J Trauma Resusc Emerg Med. 2018;26(1):94.

    Article  CAS  Google Scholar 

  30. The American College of Surgeons—Committee on Trauma: Resources for optimal care of the injured patient. Chicago; 2014.

  31. Jeppesen E, Cuevas-Ostrem M, Gram-Knutsen C, Uleberg O. Undertriage in trauma: an ignored quality indicator? Scand J Trauma Resusc Emerg Med. 2020;28(1):34.

    Article  Google Scholar 

  32. Wisborg T, Ellensen EN, Svege I, Dehli T. Are severely injured trauma victims in Norway offered advanced pre-hospital care? National, retrospective, observational cohort. Acta Anaesthesiol Scand. 2017;61(7):841–7.

    Article  CAS  Google Scholar 

  33. Harmsen AMK, Geeraedts LMG Jr, Giannakopoulos GF, Terra M, Christiaans HMT, Mokkink LB, Bloemers FW. National consensus on communication in prehospital trauma care, the DENIM study. Scand J Trauma Resusc Emerg Med. 2017;25(1):67.

    Article  Google Scholar 

  34. Wigman LD, van Lieshout EM, de Ronde G, Patka P, Schipper IB. Trauma-related dispatch criteria for Helicopter Emergency Medical Services in Europe. Injury. 2011;42(5):525–33.

    Article  Google Scholar 

  35. Carney N, Totten AM, O’Reilly C, Ullman JS, Hawryluk GW, Bell MJ, Bratton SL, Chesnut R, Harris OA, Kissoon N, et al. Guidelines for the management of severe traumatic brain injury. Fourth Ed Neurosurg. 2017;80(1):6–15.

    Article  Google Scholar 

  36. Stiell IG, Wells GA, Vandemheen K, Clement C, Lesiuk H, Laupacis A, McKnight RD, Verbeek R, Brison R, Cass D, et al. The Canadian CT Head Rule for patients with minor head injury. Lancet. 2001;357(9266):1391–6.

    Article  CAS  Google Scholar 

  37. Johnsen AS, Samdal M, Sollid S, Rehn M. Major incident management by helicopter emergency medical services in South-East Norway from 2000–2016: retrospective cohort study. Acta Anaesthesiol Scand. 2020;64(7):1014–20.

    Article  Google Scholar 

  38. Ellensen EN, Hunskaar S, Wisborg T, Zakariassen E. Variations in contact patterns and dispatch guideline adherence between Norwegian emergency medical communication centres–a cross-sectional study. Scand J Trauma Resusc Emerg Med. 2014;22:2.

    Article  Google Scholar 

  39. Ellensen EN, Wisborg T, Hunskaar S, Zakariassen E. Dispatch guideline adherence and response interval-a study of emergency medical calls in Norway. BMC Emerg Med. 2016;16(1):40.

    Article  Google Scholar 

Download references


The authors thank Trond Thoresen (Norwegian Directorate of Health) for his extraordinary assistance in report building, extraction and quality assurance of AMIS data. We thank Rune Gehrken (EMCC Oslo/Akershus), Morten Larsen (EMCC Drammen), Arne Stokke (EMCC Gjøvik), Fredrik Westmark (EMCC Østfold) and Per Herman Grette (Sykehuspartner) for report execution and extraction of AMIS data. We thank Hallstein Sørebø for query building, extraction of LabasNG data and data export. We thank Ida Svege, Elisabeth Jeppesen and Marianne Dahlhaug (all NTR) for data extraction as well as general counselling. We thank Erika Frischknecht Christensen (Department of Clinical Medicine, Aalborg University, Denmark) for provision of the Danish set of criteria for HEMS dispatch.


The Norwegian Air Ambulance Foundation funded the corresponding author. No other costs have accrued. No other sponsors or external sources of funding were involved in the study.

Author information

Authors and Affiliations



Study concept and design (MS, KT, MSb, MR); acquisition of the data (MS); analysis of the data (MS, KT, OG); drafting of the manuscript (MS, KT, OG, MSb, MR); critical revision of the manuscript (MS, KT, OG, MSb, MR); approval of the final manuscript (MS, KT, OG, MSb, MR). All authors read and approved the final manuscript.

Corresponding author

Correspondence to Martin Samdal.

Ethics declarations

Ethics approval and consent to participate

The regional committees for medical and health research ethics (REK) section south-east and the data protection officer at Oslo University Hospital classified this study as a quality assurance project not requiring approval (REK decision 2014/1509). Dispensation from professional confidentiality requirements for other types of research was granted in accordance with REK decision 2014/1510.

Consent for publication

Not applicable.

Competing interests

Martin Samdal (MS) is a research fellow with Norwegian Air Ambulance Foundation (NAAF) and a consultant anaesthesiologist working both at the Department of Anaesthesiology and Intensive care and the Air Ambulance Department, Drammen Hospital, Vestre Viken Hospital Trust. Kjetil Thorsen (KT) is a senior researcher at NAAF. Ola Græsli (OG) is a paramedic and ICT-advisor at the Pre-hospital division, Oslo University Hospital. Mårten Sandberg (MSb) and Marius Rehn (MR) are consultant anaesthesiologists working at the Pre-hospital Division, Air Ambulance Department, Oslo University Hospital. Rehn is also a senior researcher at NAAF and an associate professor at the University of Stavanger. None of the authors have any other relationships, financial or personal, to disclose that could have inappropriately influenced this study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1

. Selected dispatch criteria used as filter in the initial data extraction to identify trauma incidents.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Samdal, M., Thorsen, K., Græsli, O. et al. Dispatch accuracy of physician-staffed emergency medical services in trauma care in south-east Norway: a retrospective observational study. Scand J Trauma Resusc Emerg Med 29, 169 (2021).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: