Skip to main content
Springer logoLink to Springer
. 2023 Jun 8;50(1):249–257. doi: 10.1007/s00068-023-02287-9

Merging of two level-1 trauma centers in Amsterdam: premerger demand in integrated acute trauma care

Eva Berkeveld 1,, Wietse P Zuidema 1, Kaoutar Azijli 2, Marleen H van den Berg 3, Georgios F Giannakopoulos 4, Frank W Bloemers 1,3,4; Trauma Surgery research collaborative group
PMCID: PMC10923961  PMID: 37289226

Abstract

Purpose

Availability of adequate and appropriate trauma care is essential. A merger of two Dutch academic level-1 trauma centers is upcoming. However, in the literature, volume effects after a merger are inconclusive. This study aimed to examine the premerger demand for level-1 trauma care on integrated acute trauma care and evaluate the expected demand on the system.

Methods

A retrospective observational study was conducted between 1-1-2018 and 1-1-2019 in two level-1 trauma centers in the Amsterdam region using data derived from the local trauma registries and electronic patient records. All trauma patients presented at both centers’ Emergency Departments (ED) were included. Patient- and injury characteristics and data concerning all prehospital and in-hospital-delivered trauma care were collected and compared. Pragmatically, the demand for trauma care in the post-merger setting was considered a sum of care demand for both centers.

Results

In total, 8277 trauma patients were presented at both EDs, 4996 (60.4%) at location A and 3281 (39.6%) at location B. Overall, 462 patients were considered severely injured patients (Injury Severity Score ≥ 16). In total, 702 emergency surgeries (< 24 h) were performed, and 442 patients were admitted to the ICU. The sum care demand of both centers resulted in a 167.4% increase in trauma patients and a 151.1% increase in severely injured patients. Moreover, on 96 occasions annually, two or more patients within the same hour would require advanced trauma resuscitation by a specialized team or emergency surgery.

Conclusion

A merger of two Dutch level-1 trauma centers would, in this scenario, result in a more than 150% increase in the post-merger setting’s demand for integrated acute trauma care.

Keywords: Merger, Concentration, Trauma care, Hospital, Trauma center centralization, Polytrauma

Introduction

Worldwide, inclusive centralized trauma systems have shown to be beneficial for patients’ survival, warranting the appropriate care at the right place [1, 2]. In the Netherlands, a mature, inclusive trauma system is adhered to, composed of a collaborative trauma system among eleven trauma regions. Due to the structure of level-1, -2, and -3 trauma centers, trauma care on various levels of complexity can be provided within each region [3].

High-complexity trauma care is provided in level-1 trauma centers, as these centers are equipped with the required expertise and resources to provide care for the severely injured (Injury Severity Score (ISS) ≥ 16). Additionally, patients with physiologic or neurologic instability with, if necessary, requirements for emergent neurosurgical or cardiothoracic interventions and patients sustaining a complex isolated injury can receive adequate treatment accordingly [3]. The literature showed that for severely injured patients, direct transportation to a level-1 trauma center decreases morbidity and mortality rates [46]. To support this, novel Dutch standards aim for > 90% of severely injured patients to be directly transported to a level-1 trauma center [79]. Due to the expertise role that level-1 trauma centers fulfill, ensuring the continuous availability of level-1 trauma care is essential.

Currently, in the Amsterdam area, for the first time in the Netherlands, a merger of two academic level-1 trauma centers is upcoming. Due to the consequent change in the catchment area in case of mergers [10], changes in patient input could be expected. Therefore, assessing and early intercepting potential capacity barriers along the integrated acute trauma care system seems imperative to warrant the continuity of trauma care in the post-merger setting.

However, anticipating the expected capacity demand in the post-merger setting is challenging, as, in the literature, effects on volume after a merger are inconclusive [1114]. Some studies found a reduction in demand for capacities, such as reduced activity or total staffing, after analyzing large cohorts with different hospital sizes and merger types [11, 12]. In contrast, disappearing effects in operating efficiency were found after adjusting for the control group by Alexander et al. in a large sample of mergers [13]. The variety of volume effects after a merger is further underlined in a report by The Netherlands Authority for Consumers and Markets (ACM), demonstrating a range from a fall of 12% to a volume rise of more than 25% concerning twelve general hospital mergers in the Netherlands [14].

Moreover, due to the novel situation of merging two academic level-1 trauma centers in a mature, inclusive trauma system, extrapolating the volume effects of previous mergers to our upcoming post-merger setting is challenging. Therefore, this study aimed to examine the current demand for level-1 trauma care in integrated acute trauma care and evaluate the expected demand on the system by providing a comprehensive baseline situation in the premerger setting.

Methods

Study setting

The level-1 trauma centers Amsterdam UMC location VUmc (location A) and Amsterdam UMC location AMC (location B) are situated in Amsterdam and provide level-1 trauma care for two trauma regions, i.e., the provinces of North Holland and Flevoland [15]. Together, these regions cover an area of more than 3.5 million inhabitants. Both trauma centers are equipped with two modern trauma resuscitation rooms to resuscitate severely injured patients with (suspected) respiratory-, physiologic- or neurological abnormalities. A two-tiered trauma team activation is adhered. Based on a standardized triage protocol either a complete or selective trauma team is activated to treat the patient in the trauma resuscitation room [16]. During day time, a complete team consists of a trauma surgeon, emergency physician, two ED nurses, anesthesiologist, nurse anesthetist, radiologist, two diagnostic radiographers, intensivist, and neurologist. During evening and night shifts, a surgical registrar and resident are present at the start of the resuscitation and the on-call trauma surgeon is present within 15 min. In contrast, a selective trauma team consists of an emergency physician, emergency resident, ED nurse, radiology resident, and diagnostic radiographer [8] Specially set up Emergency Departments (ED), Operating rooms (OR), and Intensive Care Units (ICU) function to provide adequate level-1 trauma care. Together, these essential components form a streamlined, collaborative integration to provide patients with definitive treatment as swiftly as possible. In the prehospital setting, care is provided by highly trained and experienced Emergency Medical Services (EMS) crews additionally supported by a physician-staffed Helicopter Emergency Medical Services (HEMS) crew to provide A(T)LS care [17]. Both level-1 centers feature a helicopter landing platform, whereas the permanent pitch of the HEMS Lifeliner-1 is situated at location A.

The merger of the two level-1 trauma centers was enacted as part of the merger of two academic hospitals in Amsterdam. The latter aims to ensure the most qualitative care for patients with complex and rare diseases and high-quality emergency care on a 24–7 basis. Additionally, it provides an opportunity to expand scientific knowledge, and educational practices benefit from shared expertise [18]. Concerning trauma care, the merger supports meeting the required 240 severely injured to be treated at a level-1 trauma center annually, required to warrant quality and staff efficiency. Following the decision to merge the two academic hospitals, locations A and B, it was decided in the interest of the entire healthcare system to concentrate all acute care at location B. Consequently, for this reason, the two level-1 trauma centers were planned to merge into location B.

Study design

This retrospective study analyzed all data of two academic level-1 trauma centers in Amsterdam between January 1st, 2018, and January 1st, 2019. All trauma patients presented at the trauma centers’ Emergency Departments (ED) were included. Patient characteristics, prehospital, in-hospital, and outpatient clinic information were derived from the Dutch National Trauma Registry and complemented with Electronic Patient Record information. Prehospital characteristics included the location of the scene, method of transportation, transport time, and HEMS assistance. In-hospital information was composed of arrival date and time, length of stay (LOS) at ED, OR, ICU, and clinical departments. In addition, resuscitation-specific information was collected, such as trauma resuscitation team activation at ED, patient’s ISS, and CT-scan usage at ED. ISS from non-admitted patients was considered as an ISS below 16.

If a patient required an intervention, information regarding the urgency of the intervention (performed within 24 h after arrival) and the number of interventions performed were collected. Additionally, admissions of ICU and clinical (trauma surgical, pediatric or neurologic department where the trauma surgeon provides (co-)treatment were collected. In-hospital mortality, destination after discharge, and the number of outpatient clinic visits were retrieved.

Data analysis

Descriptive statistics were used. Categorical variables were presented as percentages, whereas continuous variables were presented as mean (standard deviation (SD)) or median with interquartile range (25th–75th percentiles). Data were analyzed using IBM SPSS Statistics version 24.0 (IBM, New York, USA). Prehospital time distances were calculated using a route planner accounting for one day of the week and the time of day. Data from level-1 trauma center locations A and B were added to provide an overview of the sum of both capacities in case of concentration at location B in the post-merger setting. Patient input per shift (i.e., day 8.00 AM till 4.00 PM, evening 4.00 PM till 11.00 PM, and night 11.00 PM till 8.00 AM) per 24 h and annum were examined.

Results

Descriptives

In total, 8277 trauma patients were presented at both EDs during the study period, 4996 (60.4%) at location A, and 3281 (39.6%) at location B (Table 1). Excluded were duplicates, patients not presented at the ED, and patients left on their behalf before diagnostics commenced. The total study population predominantly consisted of male patients (59.6%) with a mean age of 40.9 (SD 25.0), as shown in Table 1. Overall, 462 patients were considered severely injured (ISS ≥ 16), of which 278 (60.2%) were presented at location A and 184 (39.8%) at location B. In total, 1799 patients were resuscitated at the trauma resuscitation room by a trauma team, including all severely injured patients (n = 462). The mean ISS of the admitted patients (n = 2509) was 9.3 (SD 9.2).

Table 1.

Demographic characteristics

Location A
(n = 4996)
Location B
(n = 3281)
Total
(n = 8277)
Age, mean (SD) 41.6 (25.0) 39.8 (23.9) 40.9 (25.0)
Gender, male (%) 2911 (55.3) 2025 (61.7) 4936 (59.6)
ISS, mean (SD) admitted patients only 9.7 (9.7) 8.7 (8.5) 9.3 (9.2)
Destination after discharge, n (%)
 Home 4417 (88.4) 2915 (88.8) 7332 (88.6)
 Nursing home 162 (3.2) 30 (0.9) 192 (2.3)
 Physical rehabilitation center 54 (1.1) 33 (1.0) 87 (1.1)
 Other hospital 270 (5.4) 230 (7.0) 500 (6.0)
 Left against medical advice 19 (0.4) 19 (0.6) 38 (0.5)
 Deceased in-hospital 74 (1.5) 54 (1.7) 128 (1.5)

ISS Injury Severity Score

Integrated acute trauma care

Table 2 shows that for the total study population, the vast majority of patients arrived at ED directly from the accident scene (95.7%), and the most common method of transportation was by EMS (55.1%). For both trauma centers, patients’ arrival time at ED shows highest during day and evening shifts (Fig. 1). Similarly, advanced trauma resuscitations by a specialized team, including for severely injured patients, occurred most frequently during the day and evening shifts (Fig. 2). Most emergency interventions were performed during day and evening shifts and were required for 702 patients in total (Table 3), whereas the necessity for ICU admission (n = 442) was most prevalent during the evening (38.5%) and night (35.5%) shifts (Fig. 3).

Table 2.

Prehospital characteristics

Location A
(n = 4996)
Location B
(n = 3281)
Total
(n = 8277)
Transported from, n (%)
 Accident scene 4837 (96.8) 3080 (93.9) 7918 (95.7)
 Hospital referral 51 (1.0) 76 (2.3) 127 (1.5)
 General practitioner referral 43 (0.9) 20 (0.6) 63 (0.8)
 Missing 64 (1.3) 105 (3.2) 169 (2.0)
Method of transportation, n (%)
 EMS 2758 (55.2) 1801 (54.9) 4559 (55.1)
 Own transportation 905 (18.1) 1449 (44.2) 2354 (28.5)
 HEMS 12 (0.2) 12 (0.1)
 Other 1321 (26.5) 31 (0.9) 1352 (16.3)
HEMS assistance, n (%) 251 (5.0) 86 (2.6) 337 (4.1)

EMS Emergency Medical Services, HEMS physician staffed Helicopter Emergency Medical Services

Fig. 1.

Fig. 1

Timing of trauma patients’ arrival at ED (n = 8277). ED Emergency Department

Fig. 2.

Fig. 2

Timing of patients’ arrival resuscitated by a specialized trauma team at the trauma resuscitation room in ED. ED Emergency Department, ISS Injury Severity Score

Table 3.

In-hospital characteristics

Location A
(n = 4996)
Location B
(n = 3281)
Total
(n = 8277)
Emergency Department
 Trauma resuscitation room presentation, n (%) 941 (18.8) 858 (26.2) 1799 (21.7)
 General ED room presentation, n (%) 4055 (81.2) 2423 (73.8) 6478 (78.3)
 CT-scan, n (%) 1823 (36.5) 1226 (37.4) 3049 (36.8)
 LOS ED with trauma resuscitation (hh:mm), median (IQR) 3:55 (2:50) 2:54 (2:30)
 LOS ED general (hh:mm), median IQR 2:44 (2:37) 2:33 (2:19)
Operating room
Emergency surgery (< 24 h), n (%) 392 (7.8) 310 (9.4) 702 (8.5)
Clinical departments
 Admission, n (%)
  ICU 237 (4.7) 205 (6.2) 442 (5.3)
  Clinic 1209 (24.2) 847 (25.8) 2056 (24.8)
 LOS, median (IQR)
  ICU 3.0 (5.0) 2.0 (3.0)
  Clinic 4.0 (7.0) 3.0 (5.0)

ED Emergency Department, LOS length of stay, ICU Intensive Care Unit

Fig. 3.

Fig. 3

Trauma care necessity per shift in both trauma centers. ED Emergency Department, ICU Intensive Care Unit, ISS Injury Severity Score

Sum of trauma care

Adjustment for trauma care from both centers to be solely concentrated at location B resulted in a 167.4% increase in trauma patients and a 151.1% increase in severely injured patients. Median transport time from the scene to location B increased by 5.4 min (IQR 4.0) from 12 to 17 min (n = 1029). The number of advanced trauma resuscitations (including for severely injured patients) at the ED increased by 109.7%, from 858 to 1799. This increase would be 150.0%, 160.9%, and 153.5%, respectively, during the day-, evening- and night shifts. For severely injured patients specifically (n = 462), an increase of 124.7% during the day shifts, 170.0% during the evening shifts, and 165.9% during the night shifts was found. In total, on 34 occasions arrival of two or more consecutive patients would occur within one hour, requiring advanced trauma resuscitation by a specialized trauma team in ED (Fig. 4). During the evening and nighttime shifts, two or more patients within one hour requiring either advanced trauma resuscitation at ED or emergency surgery would occur on 59 occasions annually.

Fig. 4.

Fig. 4

Severely injured patients’ (Injury Severity Score ≥ 16) overlap in both trauma centers. ED Emergency Department, OR Operating Room, ISS Injury Severity Score

Discussion

This study examined the current premerger demand for level-1 trauma care in integrated acute care involving two level-1 trauma centers in the Amsterdam region. During the study period, 8277 patients required trauma care, of which 60.4% at location A and 39.6% at location B. Overall, 462 patients were considered severely injured. Due to the expert care delivered in level-1 trauma centers, it is crucial to ensure the appropriate availability of capacity of staff and resources. Based on varying volume effects after merger described in the literature [1114], the extrapolation of an expectation model to the current situation is challenging. Pragmatically, the demand for trauma care in the post-merger setting considered as a sum of care demand of both centers resulted in a 167.4% increase in trauma patients and a 151.1% increase in severely injured patients for location B. Moreover, on 96 occasions annually, two or more patients within the same hour would require advanced trauma resuscitation by a specialized team or emergency surgery.

To manage increased patient input on a tactical and operational level, the literature emphasizes the importance of optimizing throughput and output components of acute care flow [19]. Early assessment of potentially required adaptations in the post-merger center seems preferable. Mentzoni et al. detected an increased input of 40.9% and a corresponding rise in LOS of 20.9% the first year after their Norwegian catchment area was reconfigured by 44%. This increased input expanded further during peak hours [20]. To prevent crowding and a prolonged LOS in ED, several capacities-enhancing strategies include optimizing triage, increasing the number of staffed beds, and installing additional wards as temporary in-patient dispositions [3, 1922].

Generally, reducing LOS in academic hospitals is challenging due to the complexity of care and treatments [23, 24]. Together with the admission rate, it forms a substantially important factor influencing hospital-level flow through a unit [25], and is highly dependent on the urgency of admission and admission season [26, 27]. This current study found a median LOS in ED of 2:44 h for location A and 2:33 h for location B, which is similar to the national ED LOS in our inclusive trauma system [28] and mirrors previous findings from a different Dutch level-1 trauma center [29]. For patients requiring advanced care at the trauma resuscitation room, mean times of 3:55 h (location A) and 2:54 h (location B) were found. This duration included the time spent in a regular ED bed after their trauma resuscitation was completed when no further care at the trauma resuscitation room was required. Furthermore, It was shown by McCarthy et al. that decreasing the number of patients waiting to ‘board’ to their in-patient disposition has the greatest benefits for flow efficiency and overcoming ED crowding [21]. Therefore, considering the two merging academic level-1 trauma centers, one strategy to reduce LOS could be increasing the number of staffed beds in the clinical trauma wards and temporary disposition wards [30]. This would contribute to ED output by decreasing ED boarding time and aid the overall increase in patient input over all three shifts ranging from 150.0 and 160.9%, as depicted in this study’s results.

In addition, due to the emergent character of trauma care, a specialized team can be ‘fixed and saturated’ with resuscitating one severely injured patient. This study found that the arrival of severely injured patients in the ED would mainly occur during the evening and night shifts. The overlap of two patients requiring advanced trauma resuscitation in ED within one hour would be most common during evening shifts. Therefore, attention to providing adequate staffing and resources for initial trauma resuscitation in ED during these shifts could contribute to optimizing patient throughput. To achieve this in the post-merger setting, installment of 24–7 in-house trauma surgeon presence and stand-by coverage by an additional trauma surgeon can aid in warranting continuity of care.

Moreover, besides, after severe trauma, a patient often requires further resuscitative management, such as damage control surgery or primary fracture care in an emergency setting and further definitive care at the ICU. Consequently, OR and ICU admission availability is essential to warrant level-1 trauma care delivery. In total, the amount of ICU admissions accounted for 17.7% of all trauma-related admissions. Adding up both centers would result in a 115.6% increase in trauma-related ICU admissions, mainly during the evening and night shifts. Therefore, to comply with the current standards from the Dutch Trauma Society (NVT) for a level-1 trauma center to always have one ICU bed available at all times to admit a severely injured patient [3], expanding the minimum availability to two ICU beds might be required to cope with the potential increase in the post-merger setting. Capacity-enhancing strategies include facilitation for ICU patients who require observation due to, for example, costal fractures to be monitored at the Post Anesthesia Care Unit (PACU). Also, to preserve the continuity of the OR schedule, the intensivist will aim to replace the anesthesiologist’s role during trauma resuscitation activations in ED. This way, the (emergency) OR will be minimally impacted regarding staffing availability.

Concerning staff expansion, it is advantageous that the attending intensivists already work in a shared staffing pool between the two centers. However, high demand exists for (specialized) nurses in the trauma resuscitation room, OR, ICU, and clinical ward [31]. Therefore, concerning capacity expansion, the most significant bottleneck will likely be facilitating adequate nursing staffing. Overall, investment in staffed beds in the clinical trauma ward benefits a two-tiered strategy, as it supports both output flow in ED and ICU [32]. Naturally, optimal flow towards the clinical trauma ward comes hand in hand with ensuring adequate availability by preventing a stagnating output flow in the clinical department. The majority of patients in the clinical ward were discharged to their own living environment (74.7%), with additional home care if necessary, whereas 9.6% of patients were discharged to a nursing home and 4.6% to a rehabilitation clinic. The corresponding arrangements and transfer to continue the required care at home, nursing home, or rehabilitation clinic usually only occur during weekdays. In the case of admitted clinical patients for whom hospital care is no longer necessary, delays concerning organizational and logistical aspects of discharge disposition cause unnecessary hospital bed occupancy. While the number of nursing- or rehab capacity would not change in the catchment area due to the merger, arranging the patients to be dispositioned to these beds might be more challenging. The literature showed that multidisciplinary attention to discharge planning has effectively reduced unnecessary LOS [33]. An additional improvement to overcome this could include optimizing discharge possibilities on a 7-day per week basis and continuing the required care in the (nursing-)home or rehabilitation setting.

Altogether, the in-hospital care flow forms a connected entity dependent on individual departments’ flow and collective collaboration. Besides the anticipated volume effects caused directly by the merger, due to the integral character of trauma care, regional restructuring of patient flow seems necessary to meet the novel > 90% standards for severely injured patients in the post-merger setting [7]. Several studies showed undertriage rates between 21.6 and 34.6% among various Dutch trauma regions [3437]. To aim for severely injured patients to be directly transported to the level-1 trauma center, triage should be enhanced for the ‘potentially severely injured patients’ to be evaluated in the level-1 trauma center and thus reduce undertriage. A clear two-way interaction with level-2 trauma centers should be established to mitigate this increased patient input. That way, patients who, after evaluation in the level-1 trauma center, do not sustain severe injury and otherwise do not benefit from level-1 trauma care can be transferred safely to a surrounding level-2 trauma center when necessary.

In this study, the retrospective inclusion of all trauma patients presented through the ED with acute traumatic injury might have caused to some extent, selection bias. Patients admitted via other (e.g., elective) routes might have been missed. However, focusing on the patients admitted via ED provided a thorough insight into the patient’s integrated care flow. Patient flow is rather erratic and non-linear [38]. In addition, the analysis of the transport time difference in the post-merger setting only included admitted patients from location A from whom the scene location was available. The present study was conducted assuming that a merger would directly translate into a sum of the demand for care from both trauma centers. Despite it being uncertain whether a merger results in this input, in the literature, effects on volume after a merger are controversial [14] and do not readily generalize to the trauma system setting. Nevertheless, generally, in acute care, one large unit is more efficient than two small ones [32], which is in line with one of the general strategies of hospital mergers to reduce duplication of services [10, 12]. Therefore, the sum of capacity adhered in this current study might function as a maximum baseline for the required capacity.

Conclusion

This study examined the current premerger demand for level-1 trauma care involving two level-1 trauma centers in the Amsterdam region. Based on premerger data from 2018, a sum of capacity demand would result in a more than 150% increase in the post-merger setting’s integrated acute trauma care, including for the severely injured. These data are essential for successfully integrating two major trauma centers in Amsterdam. Future research is recommended to evaluate volume effects in the post-merger setting.

Acknowledgements

Trauma Surgery research collaborative group: Veerle Cuijpers, Anissa Mahraoui, Jesse Moorees, Gulsum Z. Nasim

Author contributions

FB, GG, and EB have made contributions to the conception and design. EB has been involved in drafting the manuscript and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Funding

No funding was received for this study.

Data availability

Original data remain available and access may be provided upon reasonable request.

Declarations

Conflict of interest

The authors have no competing interests to declare that are relevant to the content of this article.

Ethical approval

The Medical Research Ethics Committee of Amsterdam UMC location VUmc, which is under collaboration with location AMC, reviewed the study protocol, under reference number 2020.127, and concluded that the research is not subject to the Dutch Medical Research Involving Human Subjects Act.

Footnotes

Members of the Trauma Surgery research collaborative group are listed in the Acknowledgements section.

Contributor Information

Eva Berkeveld, Email: e.berkeveld@amsterdamumc.nl.

Trauma Surgery research collaborative group:

Veerle Cuijpers, Anissa Mahraoui, Jesse Moorees, and Gulsum Z. Nasim

References

  • 1.Verleisdonk EJMM, HM, van Heijl M, Hietbrink F. Traumazorg in Nederland. De juiste patient op de juiste plek. Nederlands Tijdschrift voor Geneeskunde. 2019;163.
  • 2.Hietbrink F, et al. The evolution of trauma care in the Netherlands over 20 years. Eur J Trauma Emerg Surg. 2020;46(2):329–335. doi: 10.1007/s00068-019-01273-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Dutch Trauma Society (NVT). Side Letter bij 'NVT levelcriteria 2020–2024' - versie 1.4 - 05.02.20. 2020. https://www.trauma.nl/files/20200205-Sideletter%20Levelcriteria%202020-2024.pdf. Accessed 1 Dec 2022.
  • 4.MacKenzie EJ, et al. A national evaluation of the effect of trauma-center care on mortality. N Engl J Med. 2006;354(4):366–378. doi: 10.1056/NEJMsa052049. [DOI] [PubMed] [Google Scholar]
  • 5.Van Ditshuizen JC, et al. The association between level of trauma care and clinical outcome measures: a systematic review and meta-analysis. J Trauma Acute Care Surg. 2020;89(4):801–812. doi: 10.1097/TA.0000000000002850. [DOI] [PubMed] [Google Scholar]
  • 6.Curtis K, et al. Outcomes of severely injured adult trauma patients in an Australian health service: does trauma center level make a difference? World J Surg. 2011;35(10):2332–2340. doi: 10.1007/s00268-011-1217-1. [DOI] [PubMed] [Google Scholar]
  • 7.National Health Institute. Spoed moet goed - indicatoren en normen voor 6 spoedzorgindicaties. 2015. Available from: https://www.zorginstituutnederland.nl/publicaties/rapport/2015/12/16/spoed-moet-goed---indicatoren-en-normen-voor-6-spoedindicaties. Accessed 15 Nov 2022.
  • 8.Dutch Trauma Society (NVT). Levelcriteria Traumachirurgie van de Nederlandse Vereniging voor Traumachirurgie. 2019. Available from: https://www.trauma.nl/files/20200205-Levelcriteria%202020-2024.pdf. Accessed 1 Dec 2022.
  • 9.Ministerie van Volksgezondheid, Welzijn en Sport. Integraal Zorg Akkoord. 2022. Available from: https://www.rijksoverheid.nl/documenten/rapporten/2022/09/16/integraal-zorgakkoord-samen-werken-aan-gezonde-zorg. Accessed 15 Nov 2022.
  • 10.Bogue RJ, et al. Hospital reorganization after merger. Med Care. 1995;33(7):676–686. doi: 10.1097/00005650-199507000-00004. [DOI] [PubMed] [Google Scholar]
  • 11.Gaynor M, Laudicella M, Propper C. Can governments do it better? Merger mania and hospital outcomes in the English NHS. J Health Econ. 2012;31(3):528–543. doi: 10.1016/j.jhealeco.2012.03.006. [DOI] [PubMed] [Google Scholar]
  • 12.Bazzoli GJ, et al. Hospital reorganization and restructuring achieved through merger. Health Care Manag Rev. 2002;27(1):7–20. doi: 10.1097/00004010-200201000-00002. [DOI] [PubMed] [Google Scholar]
  • 13.Alexander JA, Halpern MT, Lee SY. The short-term effects of merger on hospital operations. Health Serv Res. 1996;30(6):827–847. [PMC free article] [PubMed] [Google Scholar]
  • 14.The Netherlands Authority for Consumers and Markets (ACM). Price and volume effects of hospital mergers. 2017. Report No.: ACM/17/009041. Accessed 1 Dec 2022.
  • 15.Netwerk Acute Zorg Noordwest, SpoedZorgNet. Jaarrapport Traumaregistratie 2017–2021: Regio SpoedZorgNet & regio Noordwest. 2022. Available from: https://www.flipbookpdf.net/web/site/91c89de92244d1196156d78ede14abbc11e42c7fFBP25192088.pdf.html. Accessed 8 Dec 2022.
  • 16.Karien Harmsen A, et al. Optimization of trauma care: A two-tiered inhospital trauma team response system. Arch Trauma Res. 2017;6(3):15–19. doi: 10.4103/atr.atr_17_17. [DOI] [Google Scholar]
  • 17.Landelijk Netwerk Acute Zorg (LNAZ). MMT Inzet- en cancelcriteria. 2013. Available from: https://www.lnaz.nl/cms/Inzet-_en_cancelcriteria_MMT_-_LNAZ-AZN.PDF. Accessed 8 Dec 2022.
  • 18.Amsterdam UMC. Over Amsterdam UMC. 2020. Available from: https://amsterdamumc.org/nl/organisatie/fusie.htm. Accessed 15 Feb 2023.
  • 19.Asplin BR, et al. A conceptual model of emergency department crowding. Ann Emerg Med. 2003;42(2):173–180. doi: 10.1067/mem.2003.302. [DOI] [PubMed] [Google Scholar]
  • 20.Mentzoni I, Bogstrand ST, Faiz KW. Emergency department crowding and length of stay before and after an increased catchment area. BMC Health Serv Res. 2019;19(1):506. doi: 10.1186/s12913-019-4342-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.McCarthy ML, et al. Crowding delays treatment and lengthens emergency department length of stay, even among high-acuity patients. Ann Emerg Med. 2009;54(4):492–503 e4. doi: 10.1016/j.annemergmed.2009.03.006. [DOI] [PubMed] [Google Scholar]
  • 22.van der Linden MC, Meester BE, van der Linden N. Emergency department crowding affects triage processes. Int Emerg Nurs. 2016;29:27–31. doi: 10.1016/j.ienj.2016.02.003. [DOI] [PubMed] [Google Scholar]
  • 23.Seematter-Bagnoud L, Fustinoni S, Dung DH, Santos-Eggimann B, Koehn V, Bize R. Comparison of different methods to forecast hospital bed needs. European Geriatric Med. 2015;6(3):262–272. doi: 10.1016/j.eurger.2014.09.004. [DOI] [Google Scholar]
  • 24.Sato D, Fushimi K. Impact of teaching intensity and academic status on medical resource utilization by teaching hospitals in Japan. Health Policy. 2012;108(1):86–92. doi: 10.1016/j.healthpol.2012.08.021. [DOI] [PubMed] [Google Scholar]
  • 25.Ravaghi H, et al. Models and methods for determining the optimal number of beds in hospitals and regions: a systematic scoping review. BMC Health Serv Res. 2020;20(1):186. doi: 10.1186/s12913-020-5023-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Torabipour A, et al. Bed capacity planning using stochastic simulation approach in cardiac-surgery department of teaching hospitals, Tehran. Iran Iran J Public Health. 2016;45(9):1208–1216. [PMC free article] [PubMed] [Google Scholar]
  • 27.Moghadam GS, Torabipour A, Yazdanpanah A. Simulating service system and estimating the hospital beds for ICU patients of Behbahan Shahidzade hospital in 2015. Int J Adv Biotechnol Res. 2016;7(2):836–842. [Google Scholar]
  • 28.Landelijk Netwerk Acute Zorg (LNAZ). Landelijke Traumaregistratie 2017–2021. 2022. Available from: https://www.lnaz.nl/cms/files/ltr_rapport_2017-2021_-_landelijk.pdf. Accessed 8 Dec 2022.
  • 29.van der Linden C, et al. Evaluation of a flexible acute admission unit: effects on transfers to other hospitals and patient throughput times. J Emerg Nurs. 2013;39(4):340–345. doi: 10.1016/j.jen.2011.09.024. [DOI] [PubMed] [Google Scholar]
  • 30.Lucas R, et al. Emergency department patient flow: the influence of hospital census variables on emergency department length of stay. Acad Emerg Med. 2009;16(7):597–602. doi: 10.1111/j.1553-2712.2009.00397.x. [DOI] [PubMed] [Google Scholar]
  • 31.Amsterdam UMC. Vacatures en carrieremogelijkheden binnen zorg, onderwijs, onderzoek en staf. 2023. Available from: https://werkenbij.amsterdamumc.org/. Accessed 15 Feb 2023.
  • 32.Williams J, Dumont S, Parry-Jones J, Komenda I, Griffiths J, Knight V. Mathematical Modelling of patient flow to predict critical care capacity required following the merger of two district general hospitals into one. Anaesthesia. 2015;70:32–40. doi: 10.1111/anae.12839. [DOI] [PubMed] [Google Scholar]
  • 33.Dutton RP, et al. Daily multidisciplinary rounds shorten length of stay for trauma patients. J Trauma. 2003;55(5):913–919. doi: 10.1097/01.TA.0000093395.34097.56. [DOI] [PubMed] [Google Scholar]
  • 34.Voskens FJ, et al. Accuracy of prehospital triage in selecting severely injured trauma patients. JAMA Surg. 2018;153(4):322–327. doi: 10.1001/jamasurg.2017.4472. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Sturms LM, et al. Dutch trauma system performance: Are injured patients treated at the right place? Injury. 2021;52(7):1688–1696. doi: 10.1016/j.injury.2021.05.015. [DOI] [PubMed] [Google Scholar]
  • 36.Waalwijk JF, Lokerman RD, van der Sluijs R, Fiddelers AAA, Leenen LPH, van Heijl M, et al. Priority accuracy by dispatch centers and Emergency Medical Services professionals in trauma patients: a cohort study. Eur J Trauma Emerg Surg. 2022;48(2):1111–1120. doi: 10.1007/s00068-021-01685-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.van Rein EAJ, van der Sluijs R, vVoskens FJ, Lansink KWW, Houwert RM, Lichtveld RA, et al. Development and validation of a prediction model for prehospital triage of trauma patients. JAMA Surg. 2019;154(5):421–429. doi: 10.1001/jamasurg.2018.4752. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Costa AX, et al. Mathematical modelling and simulation for planning critical care capacity. Anaesthesia. 2003;58(4):320–327. doi: 10.1046/j.1365-2044.2003.03042.x. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Original data remain available and access may be provided upon reasonable request.


Articles from European Journal of Trauma and Emergency Surgery are provided here courtesy of Springer

RESOURCES