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

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.

The effect of a clock's presence on trauma resuscitation times in a Dutch level-1 trauma center: a pre-post cohort analysis.

PURPOSE: Interventions performed within the first hour after trauma increase survival rates. Literature showed that measuring times can optimize the trauma resuscitation process as time awareness potentially reduces acute care time. This study examined the effect of a digital clock placement on trauma resuscitation times in an academic level-1 trauma center. METHODS: A prospective observational pre-post cohort analysis was conducted for six months before and after implementing a visible clock in the trauma resuscitation room, indicating the time passed since starting the in-hospital resuscitation process. Trauma patients (age ≥ 16) presented during weekdays between 9.00 AM and 9.00 PM were included. Time until diagnostics (X-Ray, FAST, or CT scan), time until therapeutic intervention, and total resuscitation time were measured manually with a stopwatch by a researcher in the trauma resuscitation room. Patient characteristics and information regarding trauma- and injury type were collected. Times before and after clock implementation were compared. RESULTS: In total, 100 patients were included, 50 patients in each cohort. The median total resuscitation time (including CT scan) was 40.3 min (IQR 23.3) in the cohort without a clock compared to 44.3 (IQR 26.1) minutes in the cohort with a clock. The mean time until the first diagnostic and until the CT scan was 8.3 min (SD 3.1) and 25.5 min (SD 7.1) without a clock compared to 8.6 min (SD 6.5) and 26.6 min (SD 11.5) with a clock. Severely injured patients (Injury Severity Score (ISS) ≥ 16) showed a median resuscitation time in the cohort without a clock (n = 9) of 54.6 min (IQR 50.5) compared to 46.0 min (IQR 21.6) in the cohort with a clock (n = 8). CONCLUSION: This study found no significant reduction in trauma resuscitation time after clock placement. Nonetheless, the data represent a heterogeneous population, not excluding specific patient categories for whom literature has shown that a short time is essential, such as severely injured patients, might benefit from the presence of a trauma clock. Future research is recommended into resuscitation times of specific patient categories and practices to investigate time awareness.

Optimization of a Patient Distribution Framework: Second Wave COVID-19 Preparedness and Challenges in the Amsterdam Region.

To meet surge capacity and to prevent hospitals from being overwhelmed with COVID-19 patients, a regional crisis task force was established during the first pandemic wave to coordinate the even distribution of COVID-19 patients in the Amsterdam region. Based on a preexisting regional management framework for acute care, this task force was led by physicians experienced in managing mass casualty incidents. A collaborative framework consisting of the regional task force, the national task force, and the region's hospital crisis coordinators facilitated intraregional and interregional patient transfers. After hospital admission rates declined following the first COVID-19 wave, a window of opportunity enabled the task forces to create, standardize, and optimize their patient transfer processes before a potential second wave commenced. Improvement was prioritized according to 3 crucial pillars: process standardization, implementation of new strategies, and continuous evaluation of the decision tree. Implementing the novel "fair share" model as a straightforward patient distribution directive supported the regional task force's decisionmaking. Standardization of the digital patient transfer registration process contributed to a uniform, structured system in which every patient transfer was verifiable on intraregional and interregional levels. Furthermore, the regional task force team was optimized and evaluation meetings were standardized. Lines of communication were enhanced, resulting in increased situational awareness among all stakeholders that indirectly provided a safety net and an improved integral framework for managing COVID-19 care capacities. In this article, we describe enhancements to a patient transfer framework that can serve as an exemplary system to meet surge capacity demands during current and future pandemics.

Experience of the Coronavirus Disease (COVID-19) Patient Care in the Amsterdam Region: Optimization of Acute Care Organization.

The coronavirus disease (COVID-19) pandemic causes a large number of patients to simultaneously be in need of specialized care. In the Netherlands, hospitals scaled up their intensive care unit and clinical admission capacity at an early stage of the pandemic. The importance of coordinating resources during a pandemic has already been emphasized in the literature. Therefore, in order to prevent hospitals from being overwhelmed by COVID-19 admissions, national and regional task forces were established for the purpose of coordinating patient transfers. This review describes the experience of Regionaal Overleg Acute Zorg (ROAZ) region Noord-Holland Flevoland, in coordinating patient transfers in the Amsterdam region. In total, 130 patient transfers were coordinated by our region, of which 73% patients were transferred to a hospital within the region. Over a 2-month period, similarities regarding days with increased patient transfers were seen between our region and the national task force. In parallel, an increased incidence in hospital admissions in the Netherlands was observed. During a pandemic, an early upscale (an increase in surge spaces) of hospital admission capacity is imperative. Furthermore, it is preferred to establish national and regional task forces, coordinated by physicians experienced and trained in handling crisis situations, adhering full transparency regarding hospital admission capacity.

Trauma care during the COVID-19 pandemic in the Netherlands: a level 1 trauma multicenter cohort study.

PURPOSE: The coronavirus (COVID-19) pandemic has caused major healthcare challenges worldwide resulting in an exponential increase in the need for hospital- and intensive care support for COVID-19 patients. As a result, surgical care was restricted to urgent cases of surgery. However, the care for trauma patients is not suitable for reduction or delayed treatment. The influence of the pandemic on the burden of disease of trauma care remains to be elucidated. METHODS: All patients with traumatic injuries that were presented to the emergency departments (ED) of the Amsterdam University Medical Center, Location Academic Medical Center (AMC) and VU medical center (VUMC) and the Northwest Clinics (NWC) between March 10, 2019 and May 10, 2019 (non-COVID) and March 10, 2020 and May 10, 2020 (COVID-19 period) were included. The primary outcome was the difference in ED admissions for trauma patients between the non-COVID and COVID-19 study period. Additionally, patient- and injury characteristics, health care consumption, and 30-day mortality were evaluated. RESULTS: A 37% reduction of ED admissions for trauma patients was seen during the COVID-19 pandemic (non-COVID n = 2423 and COVID cohort n = 1531). Hospital admission was reduced by 1.6 trauma patients per day. Fewer patients sustained car- and sports-related injuries. Injuries after high energetic trauma were more severe in the COVID-19 period (Injury Severity Score 17.3 vs. 12.0, p = 0.006). Relatively more patients were treated operatively (21.4% vs. 16.6%, p < 0.001) during the COVID-19 period. Upper-(17.6 vs. 12.5%, p = 0.002) and lower extremity injuries (30.7 vs. 23.0%, p = 0.002) mainly accounted for this difference. The 30-day mortality rate was higher during the pandemic (1.0 vs. 2.3%, p = 0.001). CONCLUSION: The burden of disease and healthcare consumption of trauma patients remained high during the COVID-19 pandemic. Results of this study can be used to optimize the use of hospital capacity and anticipate health care planning in future outbreaks.

The effect of socioeconomic status on severe traumatic injury: a statistical analysis.

PURPOSE: The amount of studies performed regarding a link between socioeconomic status (SES) and fatal outcome after traumatic injury is limited. Most research is focused on work-related injuries without taking other important characteristics into account. The aim of this study is to examine the association between SES and outcome after traumatic injury. METHODS: The study involved polytrauma patients [Injury Severity Score (ISS) ≥ 16] admitted to the Amsterdam University Medical Center (location VUmc) and Northwest Clinics Alkmaar (level 1 trauma centers). The SES of every patient was based on their postal code and represented with a "status score". Univariate and multivariable analyses were performed to estimate the association between SES and mortality, length of stay at the hospital and length of stay at the Intensive Care Unit (ICU). Z-statistics were used to determine the difference between the expected and actual survival, based on Trauma Revised Injury Severity Score (TRISS) and PSNL15 (probability of survival based on the Dutch population). RESULTS: A total of 967 patients were included in this study. The lowest SES group was significantly associated with more penetrating injuries and a younger age (45 years versus 55 years). Additionally, severely injured patients with lower SES were noted to have a prolonged stay at the ICU. Furthermore, differences were found in the expected and observed survival, especially for the lower SES groups. CONCLUSION: Polytrauma patients with lower SES have more often penetrating injuries, are younger and have a longer stay at the ICU. No association was found between SES and length of hospital stay and neither between SES and mortality.