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Prehospital Intervals and In-Hospital Trauma Mortality: A Retrospective Study from a Level I Trauma Center

Published online by Cambridge University Press:  17 July 2020

Hassan Al-Thani
Affiliation:
Department of Surgery, Trauma and Vascular Surgery, Hamad General Hospital, Doha, Qatar
Ahammed Mekkodathil
Affiliation:
Department of Surgery, Trauma and Vascular Surgery, Hamad General Hospital, Doha, Qatar
Attila J. Hertelendy
Affiliation:
Department of Decision Sciences and Business Analytics, College of Business, Florida International University, Miami, USA
Tim Frazier
Affiliation:
Emergency and Disaster Management program, Georgetown University, Washington, DC, USA
Gregory R. Ciottone
Affiliation:
Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MassachusettsUSA
Ayman El-Menyar*
Affiliation:
Department of Surgery, Trauma and Vascular Surgery, Hamad General Hospital, Doha, Qatar Department of Clinical Medicine, Weill Cornell Medical College, Doha, Qatar
*
Correspondence: Ayman El-Menyar, MD, FRCP, FACC, FESC, Associate Professor Weill Cornell Medical College, Consultant Clinical Research, Trauma Surgery, Hamad General Hospital, Doha, Qatar, E-mail: [email protected]
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Abstract

Background:

The increase in mortality and total prehospital time (TPT) seen in Qatar appear to be realistic. However, existing reports on the influence of TPT on mortality in trauma patients are conflicting. This study aimed to explore the impact of prehospital time on the in-hospital outcomes.

Methods:

A retrospective analysis of data on patients transferred alive by Emergency Medical Services (EMS) and admitted to Hamad Trauma Center (HTC) of Hamad General Hospital (HGH; Doha, Qatar) from June 2017 through May 2018 was conducted. This study was centered on the National Trauma Registry database. Patients were categorized based on the trauma triage activation and prehospital intervals, and comparative analysis was performed.

Results:

A total of 1,455 patients were included, of which nearly one-quarter of patients required urgent and life-saving care at a trauma center (T1 activations). The overall TPT was 70 minutes and the on-scene time (OST) was 24 minutes. When compared to T2 activations, T1 patients were more likely to have been involved in road traffic injuries (RTIs); experienced head and chest injuries; presented with higher Injury Severity Score (ISS: median = 22); and had prolonged OST (27 minutes) and reduced TPT (65 minutes; P = .001). Prolonged OST was found to be associated with higher mortality in T1 patients, whereas TPT was not associated.

Conclusions:

In-hospital mortality was independent of TPT but associated with longer OST in severely injured patients. The survival benefit may extend beyond the golden hour and may depend on the injury characteristics, prehospital, and in-hospital settings.

Type
Original Research
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© World Association for Disaster and Emergency Medicine 2020

Introduction

Trauma is the leading cause of death and disabilities for individuals up to the age of 45 years world-wide.1,Reference Haagsma, Graetz and Bolliger2 High-quality prehospital care remains a vital part of the trauma system which significantly impacts the survivability of severely injured patients. Trauma is recognized as a time-dependent health condition among trauma surgeons and Emergency Medical Service (EMS) providers. It is widely accepted in trauma that morbidity and mortality improve if injured patients receive definitive care within 60 minutes (golden hour) of time of injury, after which both increase significantly.Reference Clark3 However, the debate continues on “whether to rely mainly on the speed of response and transport (scoop and run) or to spend time at the scene to initiate primary treatment and stabilize the patient before transport (stay and play).”Reference Haas and Nathens4-Reference Meizoso, Valle and Allen6

Previous studies suggest that the decision making on rapid transfer of injured patients to definitive care versus taking time for stabilization of patients on-scene is influenced by several factors. In some instances, field stabilization is more beneficial, whereas speed of transfer to a definitive care facility is crucial in cases with more critical time-limited issues.Reference Smith and Conn7,Reference Harmsen, Giannakopoulos, Moerbeek, Jansma, Bonjer and Bloemers8 For example, the first minutes of care for a patient with a thoracic gunshot wound and left ventricular injury are regarded as the “golden five minutes” because of the emergent requirement for life-saving treatment. On the other hand, it may be a “golden” day or two for a patient who was a victim of a motor vehicle accident and isolated tibia fracture. In reality, the data remain inconclusive as they are influenced by the experience and abilities of prehospital personnel, which can vary dramatically by geographic location and between different trauma systems.Reference Quinn, French and Mackenzie9-Reference Sampalis, Lavoie and Williams15 However, prehospital personnel in the field are an integral part of the care process, and the key treatment principles in prehospital care should remain the same.

Most trauma systems have specific protocols based on physiological parameters, anatomical location, and injury mechanism criteria to direct a patient to the correct facility. Prehospital trauma triage should ideally result in transport of the right patient to the right facility so that under-triage or overt-triage can be minimized. A systematic review on the effectiveness of prehospital trauma triage systems revealed that a significant number of the severely injured patients were not transported to the appropriate level of trauma center.Reference van Rein, van der Sluijs and Houwert16 The present study aims to explore the influence of prehospital times on mortality among patients with different trauma triage criteria.

Methods

A retrospective study of all trauma patients transferred by EMS and admitted to the Hamad Trauma Center (HTC) of Hamad General Hospital (HGH; Doha, Qatar) was conducted. The study was based on National Trauma Registry data from June 1, 2017 through May 31, 2018. All trauma patients with total prehospital time (TPT) recorded in the Trauma Registry were included in the final analysis. Patients brought to the hospital dead-on-arrival were excluded. The TPT in this study was defined as the duration between EMS notification time and hospital arrival time. Response time was the difference between EMS notification time and arrival at the scene. On-scene time (OST) was the time duration between arrival and departure of EMS from the scene.

The HGH is the only Level I trauma center in Qatar that receives all moderate to severe trauma patients, and is equipped with well-established services. Trauma registry data for the HGH is nationally collected and captures all patient-care events, including the prehospital and in-hospital course of patients. In 2017, the HGH Trauma Registry was officially launched as the Qatar National Trauma Registry, which contributes to the National Trauma Databank (NTDB) of the American College of Surgeons (ACS; Chicago, Illinois USA) Committee on Trauma, the largest international trauma registry database ever assembled. The HGH Trauma Registry has been validated internationally and locally. The international validation includes the quarterly reporting to the NTDB and the ACS Trauma Quality Improvement Program (TQIP). The HGH Trauma Registry is a part of the Qatar National Trauma Registry that has regular auditing as well as the regular departmental checking for accuracy and minimizing the rate of missing data. Data definitions are updated based on the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) code and TQIP dictionary.

The present study collected demographic information of patients, mechanisms of injury, injured body regions, prehospital intervals, comorbidities, Injury Severity Scores (ISS), interventions, details of the hospital course, and mortality. Initially, data on all patients transferred alive to the HTC were retrieved from the Trauma Registry over the study duration. The data on patients lacking recorded TPT or transferred from other hospitals and not admitted at HTC were excluded (Figure 1). Patients transferred from the Emergency Resuscitation Unit (ERU) of HGH to the Trauma Resuscitation Unit (TRU) were included. Patients included in the final analysis were classified into groups based on triage at the trauma center, such as triage-1 (T1) and triage-2 (T2) for comparative analysis (Table 1). Further comparison between patients who died versus those who survived was performed among the patients with T1 activation (mortality in T2 group was very low; Table 2). In addition, T1 patients who died and who survived were further analyzed based on different categories of TPT and OST (Table 3). Triage takes into account mechanism of injury, presenting vital signs, prehospital clinical course, and other medical conditions. Assignment of T1 or priority-1 (P1) represents patients who required immediate life-saving interventions, whereas T2 or priority-2 (P2) patients required emergent or urgent intervention within two to four hours. Triage-3 (T3) or priority-3 (P3) patients required medical treatment that could be safely delayed.Reference Kilner17 In Qatar, the National Command Center (NCC; Doha, Qatar) was established to manage local and national emergencies by coordinating emergency operations, ensuring rapid and efficient inter-agency responses.Reference Ebrahim and Osama18 The NCC operates with the Ministry of Interior (MOI; Doha, Qatar), Emergency Service Center, Internal Security Forces, and Hamad Medical Corporation (HMC; Doha, Qatar). The HMC is the operator of the national Ambulance Services (HMCAS). Emergency calls are triaged by a MOI dispatcher to determine whether the call is related to fire, medical, or police. This initial information is captured in the computer-assisted dispatch system known as “Najem” (the Arabic acronym for Unified Geospatial Infrastructure).Reference Ebrahim and Osama18,Reference Wilson, Alinier, Reimann and Morris19 This bilingual (Arabic/English) web-based application was developed by the Mannai Corporation in Qatar, along with the Environmental Systems Research Institute (ESRI; Cairo, Egypt) Northeast Africa, in consultation with the national security team of ESRI. Najem integrates all NCC functions into a single system and seamlessly interfaces with other systems when needed. Incident details and location are provided by the Najem dispatching application, which also provides the location of responding vehicles and their availability status. Since implementation, the emergency response time per incident has been significantly reduced, and all stakeholders benefit from the geospatial-based common operational picture that allows an immediate connection between incidents, units, critical infrastructures, priority assets, and other critical information.Reference Ebrahim and Osama18 The HMCAS follows a “hub and spoke model” of deployment, in which the hub is comprised of supervisory officers and other administrative and support functions, and the spokes are small standby ambulance stations positioned in strategic areas across Qatar. Presently, the distribution model of HMCAS divides Qatar into six hubs, each with five to seven spoke stations.

Note: T1 patients need immediate care whereas T2 patients require intermediate or urgent care within two to four hours. Abbreviations: EMS, Emergency Medical Services; T1, triage-1; T2, triage-2.

Figure 1. Flow Chart of Patients Included in the Study Based on Inclusion/Exclusion Criteria and Level of Trauma Activations.

Table 1. Characteristics of Patients Transported by Emergency Medical Services in Qatar by Trauma Triage Criteria

Note: Data expressed as numbers, percentages or mean (SD) with 95% confidence interval (CI), or median with interquartile range (IQR).

Abbreviations: ICU, intensive care unit; ISS, Injury Severity Score; LOS, length of stay; MRI, magnetic resonance imaging; ORIF, open reduction internal fixation.

Table 2. Comparative Analysis of Survival versus Mortality in Patients with Trauma Triage-1 Criteria (T1)

Note: Data expressed as numbers, percentages in brackets, or mean (SD) with confidence interval (CI), or median with interquartile range (IQR) in bracket.

Abbreviations: ICU, intensive care unit; ISS, Injury Severity Score; LOS, length of stay.

Table 3. Comparative Analysis of Survival versus Mortality by Total Prehospital Time (TPT) and On-Scene Time (OST) in Patients with Trauma Triage-1 Criteria (T1)

Note: Data expressed as numbers and percentages with 95% confidence interval (CI).

Data Analysis

Data were presented as proportions and 95% confidence interval (CI), mean (standard deviation [SD]), or median with interquartile range (IQR), as appropriate. The chi-square test was used to compare proportions between the groups at a significant level of P value <.05. Means of quantitative variables were compared using student t-test and the difference was considered as significant at P value level <.05. Medians were compared using non-parametric tests. Data analysis was carried out using the Statistical Package for Social Sciences version 21 (SPSS Inc.; Chicago, Illinois USA). Ethical approval for this study was obtained (MRC-01-18-432) from Institutional Review Board at HMC, Doha, Qatar with a waiver of informed consent.

Results

In the study duration, 2,479 patients in the Qatar National Trauma Registry database were screened for inclusion, and a total of 1,455 patients were retained in the final analysis. The main reasons for exclusions were patients who did not require trauma admission (n = 388), prehospital time was not recorded (n = 369), and patients who were transferred from other hospitals (n = 267; Figure 1). Of those 1,455 patients, 357 (24.5%) were in T1 activation group and 910 (62.5%) were in T2 activation group. The remaining 188 (12.9%) patients lacking triage criteria information were categorized as “other.” Figure 2 shows the locations across the country from where patients were transported to the HGH by EMS over the study duration.

Figure 2. Map Showing the Locations Across the Country from where Patients Transported to Hamad General Hospital.

Table 1 shows the patients demographics, injury characteristics, prehospital intervals, in-hospital course, and outcomes of all T1 and T2 patients. The mean patient age was 32 years, and this was comparable among both T1 and T2 groups. The majority of victims were male, making up a significantly higher proportion of the T1 group (P = .001). Road traffic injuries (RTIs) and falls were most common mechanisms of injuries in all patient groups. However, RTI was proportionately higher in the T1 group, whereas falls were more frequent in the T2 group (P = .001). Head, chest, and lower extremity injuries were more common in the T1 group when compared to T2 (P = .001). Polytrauma was more common among the T1 group with significantly higher ISS (median = 22), with intubation, chest tube insertion, cricothyrotomy, and exploratory laparotomy performed more commonly than when compared to T2 (P = .001).

Notably, 398 (27.4%) of patients were taken to the operating room within 24 hours of admission, and 59.5% of these patients were T2 patients while 36.9% were T1 patients. Massive transfusion protocol was activated in 80 (5.5%) patients, and almost all were in the T1 group (n = 78; 97.5%). Of the patients in groups other than T1 or T2 (n =188, 12.9%), more were injured following RTIs (n = 112; 59.5%) and experienced mostly head (30.1%) and chest (24.8%) injuries. The median ISS score among this group was nine (IQR 4-12).

Of the total 1,455 patients, 493 (33.8%) were transported to the hospital within 60 minutes and 657 (45.2%) had OST ≤ 20 minutes. Of the 357 T1 patients, 147 (41.2%) were transported to the hospital within 60 minutes and the OST was ≤ 20 minutes in 116 (32.5%). The overall median OST was 24 minutes and was higher in T1 compared to T2 (27 minutes versus 20 minutes; P = .001). The overall TPT was 70 minutes and was less in T1 compared to T2 (65 minutes versus 71 minutes; P = .001). The median duration of intensive care unit (ICU) and hospital stays were significantly higher in T2. In addition, the mortality rate was significantly higher in the T1 group when compared to the T2 group (25.2% versus 0.2%; P = .001).

Of the patients who died, more were RTI victims (76.7%) and had a significantly higher proportion of head (67.8%) or chest (61.1%) injuries, along with severe polytrauma as characterized by high ISS (median = 30; Table 2). These patients were more likely to undergo intubation, chest tube insertion, or cricothyrotomy. Although the OST was longer for patients who died (P = .03), there was no significant difference in TPT between survival and mortality groups. Predictably, hospital stay was longer among the survived patients (P = .001), but the ICU duration was comparable (P = .53). The comparative analysis revealed that T1 patients had an increasing trend in mortality with increasing TPT and OST; however, it was statistically insignificant (Table 3).

Discussion

This study demonstrates that approximately 25% of patients transported by EMS to the Level I trauma center in Qatar had injuries that required immediate life-saving interventions, resulting in T1 activation. Although the total study population on average had prolonged TPT (median = 70 minutes) exceeding the golden hour of 60 minutes in 69% of the patients, T1 patients had shorter TPT but longer OST. The longer OST reflects the severity of injury and time spent for immediate life-saving interventions at the scene; however, 63% of the total in-hospital, all-cause mortality occurred in T1 patients. Results suggest that the in-hospital mortality was independent of TPT but associated with OST (Table 2). Significant differences in injury characteristics of T1 and T2 patient groups in this study demonstrated the efficiency of the existing trauma triage system in Qatar.

In contrast to the present study, a recent study based on two French trauma registries demonstrated a linear association between TPT and in-hospital all-cause mortality, with mortality rising by eight percent for each 10-minute increase.Reference Gauss, Ageron and Devaud20 The prehospital system in the French study was physician-staffed, while critical care paramedics and Emergency Medical Technicians are involved in EMS in Qatar. Gonzalez, et al conducted a study on motor vehicle crashes in rural settings and demonstrated that increased TPT was associated with higher mortality.Reference Gonzalez, Cummings, Phelan, Mulekar and Rodning21 The study was based on data collected from EMS Patient Care Reports and police crash reports in urban settings.Reference Gonzalez, Cummings, Phelan, Mulekar and Rodning21

Another study based on data from a large number of EMS agencies and sites across North America could not demonstrate the relationship between prehospital intervals and survival.Reference Newgard, Schmicker and Hedges22 This finding was continual across subgroups by country, age, injury type, severe physiologic derangement, or level of first responding EMS provider.Reference Newgard, Schmicker and Hedges22 Similarly, Dinh, et al found that there was no survival benefit in patient arrival at hospital within 60 minutes of injury time (golden hour) in patients with severe head injuries characterized by abbreviated injury scale greater than three.Reference Dinh, Bein, Roncal, Byrne, Petchell and Brennan23 On the other hand, a two-hour cut-off time in reaching the hospital was shown to have some benefits in survival.Reference Dinh, Bein, Roncal, Byrne, Petchell and Brennan23 Ringburg, et al also showed that the combined ground and helicopter EMS (HEMS) assistance at an injury scene was associated with longer OST.Reference Ringburg, Spanjersberg, Frankema, Steyerberg, Patka and Schipper24 No influence of longer OST on mortality was demonstrated when severity of injury and patient characteristics were adjusted.Reference Ringburg, Spanjersberg, Frankema, Steyerberg, Patka and Schipper24 A large retrospective study based on Pennsylvania (USA) trauma registry data, which included 164,471 patients over a 14-year duration (2000-2013), revealed that prolonged OST was associated with increased mortality.Reference Brown, Rosengart and Forsythe25 Prehospital intubation and extrication partially facilitated the association between prolonged OST and mortality. Patients with hypotension, flail chest, and penetrating injury were time-sensitive. While adjusting the response and transport time, patients with severe head injury intubated by HEMS providers did not show any association between prehospital intubation and increased mortality.Reference Brown, Rosengart and Forsythe25

A previous study in Qatar showed that patients transported by HEMS had 2.5-fold higher mortality when compared to the patients transported by the ground ambulance. These patients had a greater ISS, more traumatic brain injury, and increased frequency of on-scene intubation.Reference Al-Thani, El-Menyar, Pillay, Mollazehi, Mekkodathil and Consunji26 However, this study did not explore the impact of prehospital intervals on patient outcomes. Kidher, et al conducted a retrospective analysis of 688 HEMS transfers with severe thoracic trauma (mean ISS = 35) which revealed that TPT <65 minutes was associated with lower mortality.Reference Kidher, Krasopoulos and Coats27

Thoracic trauma victims usually have high ISS with 38% of this patient population experiencing thoracic trauma and a mortality rate of 21%. In addition, 30% of these patients had head injuries and 21% had head injuries with an ISS score level >15. Only one out of three patients were transported to the trauma center within the golden hour, while 92% were transported within two hours. The median TPT for severely injured patients with head injuries was 67 minutes and OST was 30 minutes. Based on these data, this study concludes that the survival benefit may extend beyond the golden hour and depend on the injury characteristics, as well as prehospital and in-hospital settings. Findings in this study are consistent with previous studies which have reported lack of association between TPT and mortality in patients with traumatic injuries.

Comparative analysis based on the triage activation levels in this study provided an opportunity to assess the accuracy of the established triage system in Qatar. The mortality rate among the T1 group was predictably higher, even though more time was spent on life-saving interventions in prehospital and in-hospital settings. On the other hand, the mortality rate in patient groups other than T1 or T2 was higher; 51 died out of 188 patients (27.1%). No triage criteria were recorded for this group of patients, and they were transferred from an emergency department unit to a trauma room unit. Some of these patients might have later been upgraded to T1 or T2; however, this information was lacking because of the retrospective design of the study. The majority of these patients were RTI victims with head or chest injuries. They had low ISS when compared to T1 patients, but were close to the median ISS of the T2 patients. Twenty-five patients in this group had ISS>15 and 15 of them died in the hospital.

The group of patients with no triage criteria can be further investigated to assess the possibility of under-triage. However, severe injuries in this group constitute less than two percent of the total study population and may not affect the results of the study. A systematic review on the association between transfer status and outcomes for patients revealed that transfer status (ie, transfer versus direct) was not associated with in-hospital mortality.Reference Hill, Fowler and Nathens28 Conversely, triaging severely injured patients to non-trauma facilities which are incapable of providing definitive care is associated with increased mortality.Reference Nirula, Maier, Moore, Sperry and Gentilello29 Initial stabilization attempts at these facilities may be harmful. Therefore, “scoop and run” to the trauma center may be much better when compared to “stay and play” at the local hospital.

Limitations

The retrospective nature of this study is a limitation. Missing data and selection bias cannot be ignored; however, data were extracted from a robust and validated trauma registry. Factors that affect each component of the OST (ie, arrival, scene management, and departure) need further analysis and interpretation.

Conclusions

This analysis suggests that in-hospital mortality is independent of TPT or OST. The survival benefit may extend beyond the golden hour and depends on injury characteristics as well as prehospital/in-hospital settings. Future prospective studies are warranted to explore whether improved prehospital care outweighs potential harm associated with patient transfer to hospital.

Conflicts of interest

none

References

Haagsma, JA, Graetz, N, Bolliger, I, et al. The global burden of injury: incidence, mortality, disability-adjusted life years, and time trends from the Global Burden of Disease study 2013. Inj Prev. 2016;22(1):318.Google ScholarPubMed
Clark, DE. RA Cowley, the “Golden Hour,” the “Momentary Pause,” and the “Third Space.” Am Surg. 2017;83(12):14011406.Google Scholar
Haas, B, Nathens, AB. Pro/con debate: is the scoop and run approach the best approach to trauma services organization? Crit Care. 2008;12(5):224.CrossRefGoogle ScholarPubMed
Wyen, H, Lefering, R, Maegele, M, et al; TraumaRegister DGU. The golden hour of shock-how time is running out: prehospital time intervals in Germany: a multivariate analysis of 15,103 patients from the TraumaRegister DGU(R). Emerg Med J. 2013;30(12):10481055.CrossRefGoogle Scholar
Meizoso, JP, Valle, EJ, Allen, CJ, et al. Decreased mortality after prehospital interventions in severely injured trauma patients. J Trauma Acute Care Surg. 2015;79(2):227231.Google ScholarPubMed
Smith, RM, Conn, AK. Prehospital care - scoop and run or stay and play? Injury. 2009;40(Suppl 4):S2326.CrossRefGoogle ScholarPubMed
Harmsen, AM, Giannakopoulos, GF, Moerbeek, PR, Jansma, EP, Bonjer, HJ, Bloemers, FW. The influence of prehospital time on trauma patients’ outcome: a systematic review. Injury. 2015;46(4):602609.CrossRefGoogle Scholar
Quinn, LM, French, J, Mackenzie, R. Doctors and prehospital on-scene times: effect is still debatable. Emerg Med J. 2007;24(7):521; author reply 521.Google ScholarPubMed
Dissmann, PD, Le Clerc, S. The experience of Teesside helicopter emergency services: doctors do not prolong prehospital on-scene times. Emerg Med J. 2007;24(1):5962 CrossRefGoogle Scholar
Feero, S, Hedges, JR, Simmons, E, et al. Does out-of-hospital time affect trauma survival? Am J Emerg Med. 1995;13(2):133135.Google ScholarPubMed
Sampalis, JS, Lavoie, A, Salas, M, et al. Determinants of on-scene time in injured patients treated by physicians at the site. Prehosp Disaster Med. 1994;9(3):178188.CrossRefGoogle ScholarPubMed
Garner, A, Rashford, S, Lee, A, et al. Addition of physicians to paramedic helicopter services decreases blunt trauma mortality. Aust NZ J Surg. 1999;69(10):679701.CrossRefGoogle ScholarPubMed
Iirola, TT, Laaksonen, MI, Vahlberg, TJ, et al. Effect of physician-staffed helicopter emergency medical service on blunt trauma patient survival and prehospital care. Eur J Emerg Med. 2006;13(6):335339.CrossRefGoogle ScholarPubMed
Sampalis, JS, Lavoie, A, Williams, JI, et al. Impact of on-site care, prehospital time, and level of in-hospital care on survival in severely injured patients. J Trauma. 1993;34(2):252261.Google ScholarPubMed
van Rein, EAJ, van der Sluijs, R, Houwert, RM, et al. Effectiveness of prehospital trauma triage systems in selecting severely injured patients: is comparative analysis possible? Am J Emerg Med. 2018;36(6):10601069.CrossRefGoogle ScholarPubMed
Kilner, T. Triage decisions of prehospital emergency health care providers, using a multiple casualty scenario paper exercise. Emerg Med J. 2002;19(4):348353.CrossRefGoogle ScholarPubMed
Ebrahim, AH, Osama, M. Qatar enters a new era of emergency response and proactive security. Esri 2014. https://www.esri.com/~/media/Files/Pdfs/library/brochures/pdfs/qatar-enters-a-new-era.pdf. Accessed February 2020.Google Scholar
Wilson, P, Alinier, G, Reimann, T, Morris, B. Influential factors on urban and rural response times for emergency ambulances in Qatar. MJEM. 2018;26:813.Google Scholar
Gauss, T, Ageron, FX, Devaud, ML, et al; French Trauma Research Initiative. Association of prehospital time to in-hospital trauma mortality in a physician-staffed emergency medicine system. JAMA Surg. 2019;154(12):11171124.CrossRefGoogle Scholar
Gonzalez, RP, Cummings, GR, Phelan, HA, Mulekar, MS, Rodning, CB. Does increased emergency medical services prehospital time affect patient mortality in rural motor vehicle crashes? A statewide analysis. Am J Surg. 2009;197(1):3034.CrossRefGoogle ScholarPubMed
Newgard, CD, Schmicker, RH, Hedges, JR, et al; Resuscitation Outcomes Consortium Investigators. Emergency medical services intervals and survival in trauma: assessment of the “golden hour” in a North American prospective cohort. Ann Emerg Med. 2010;55(3):235246.CrossRefGoogle Scholar
Dinh, MM, Bein, K, Roncal, S, Byrne, CM, Petchell, J, Brennan, J. Redefining the golden hour for severe head injury in an urban setting: the effect of prehospital arrival times on patient outcomes. Injury. 2013;44(5):606610.CrossRefGoogle Scholar
Ringburg, AN, Spanjersberg, WR, Frankema, SP, Steyerberg, EW, Patka, P, Schipper, IB. Helicopter emergency medical services (HEMS): impact on on-scene times. J Trauma. 2007;63(2):258262.CrossRefGoogle ScholarPubMed
Brown, JB, Rosengart, MR, Forsythe, RM, et al. Not all prehospital time is equal: influence of scene time on mortality. J Trauma Acute Care Surg. 2016;81(1):93100.CrossRefGoogle ScholarPubMed
Al-Thani, H, El-Menyar, A, Pillay, Y, Mollazehi, M, Mekkodathil, A, Consunji, R. Hospital mortality based on the mode of Emergency Medical Services transportation. Air Med J. 2017;36(4):188192.CrossRefGoogle ScholarPubMed
Kidher, E, Krasopoulos, G, Coats, T, et al. The effect of prehospital time related variables on mortality following severe thoracic trauma. Injury. 2012;43(9):13861392.CrossRefGoogle ScholarPubMed
Hill, AD, Fowler, RA, Nathens, AB. Impact of interhospital transfer on outcomes for trauma patients: a systematic review. J Trauma. 2011;71(6):18851901.Google ScholarPubMed
Nirula, R, Maier, R, Moore, E, Sperry, J, Gentilello, L. Scoop and run to the trauma center or stay and play at the local hospital: hospital transfers effect on mortality. J Trauma. 2010;69(3):595601.Google ScholarPubMed
Figure 0

Figure 1. Flow Chart of Patients Included in the Study Based on Inclusion/Exclusion Criteria and Level of Trauma Activations.

Note: T1 patients need immediate care whereas T2 patients require intermediate or urgent care within two to four hours.Abbreviations: EMS, Emergency Medical Services; T1, triage-1; T2, triage-2.
Figure 1

Table 1. Characteristics of Patients Transported by Emergency Medical Services in Qatar by Trauma Triage Criteria

Figure 2

Table 2. Comparative Analysis of Survival versus Mortality in Patients with Trauma Triage-1 Criteria (T1)

Figure 3

Table 3. Comparative Analysis of Survival versus Mortality by Total Prehospital Time (TPT) and On-Scene Time (OST) in Patients with Trauma Triage-1 Criteria (T1)

Figure 4

Figure 2. Map Showing the Locations Across the Country from where Patients Transported to Hamad General Hospital.