Background: Non-technical errors, such as insufficient communication or leadership, are a major cause of medical failures during trauma resuscitation. Research on staffing variation among trauma teams on teamwork is still in their infancy. In this study, the extent of variation in trauma team staffing was assessed. Our hypothesis was that there would be a high variation in trauma team staffing. Methods: Trauma team composition of consecutive resuscitations of injured patients were evaluated using videos. All trauma team members that where part of a trauma team during a trauma resuscitation were identified and classified during a one-week period. Other outcomes were number of unique team members, number of new team members following the previous resuscitation and new team members following the previous resuscitation in the same shift (Day, Evening, Night). Results: All thirty-two analyzed resuscitations had a unique trauma team composition and 101 unique members were involved. A mean of 5.71 (SD 2.57) new members in teams of consecutive trauma resuscitations was found, which was two-third of the trauma team. Mean team members present during trauma resuscitation was 8.38 (SD 1.43). Most variation in staffing was among nurses (32 unique members), radiology technicians (22 unique members) and anesthetists (19 unique members). The least variation was among trauma surgeons (3 unique members) and ER physicians (3 unique members). Conclusion: We found an extremely high variation in trauma team staffing during thirty-two consecutive resuscitations at our level one trauma center which is incorporated in an academic teaching hospital. Further research is required to explore and prevent potential negative effects of staffing variation in trauma teams on teamwork, processes and patient related outcomes.
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Thermal comfort in operating theatres is a less addressed research component of the in-door environment in operating theatres. The air quality naturally gets most attention when considering the risk of surgical site infections. However, the importance of thermal comfort must not be underestimated. In this research, the current thermal comfort situation of staff members is investigated. Results show that the thermal comfort for the members of a surgical team is perceived as not optimal. Application of the PMV and DR models needs further attention when applied for operating theatres. For the investigated ventilation systems, the differences in thermal comfort outcomes are small.
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Purpose: Resuscitation quality and pace depend on effective team coordination, which can be facilitated by adequate leadership. Our primary aim was to assess the influence of trauma team leader experience on resuscitation pace. Second, we investigated the influence of injury severity on resuscitation pace. Methods: The trauma team leaders were identified (Staff trauma surgeon vs Fellow trauma surgeon) and classified from video analysis during a 1-week period. Resuscitations were assessed for time to the treatment plan, total resuscitation time, and procedure time. Furthermore, patient and resuscitation characteristics were assessed and compared: age, gender, Injury Severity Score, Glasgow Coma Scale < 9, and the number (and duration) of surgical procedures during initial resuscitation. Correlations between total resuscitation time, Injury Severity Score, and time to treatment plan were calculated. Results: After adjustment for the time needed for procedures, the time to treatment plan and total resuscitation time was significantly shorter in resuscitations led by a Staff trauma surgeon compared to a Fellow trauma surgeon (median 648 s (IQR 472-813) vs 852 s (IQR 694-1256); p 0.01 resp. median 1280 s (IQR 979-1494) vs 1535 s (IQR 1247-1864), p 0.04). Surgical procedures were only performed during resuscitations led by Staff trauma surgeons (4 thorax drains, 1 endotracheal intubation, 1 closed fracture reduction). Moreover, a significant negative correlation (r: - 0.698, p < 0.01) between Injury Severity Score and resuscitation time was found. Conclusion: Experienced trauma team leaders may positively influence the pace of the resuscitation. Moreover, we found that the resuscitation pace increases when the patient is more severely injured.
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Aims: Prescribing medication is a complex process that, when done inappropriately, can lead to adverse drug events, resulting in patient harm and hospital admissions. Worldwide cost is estimated at 42 billion USD each year. Despite several efforts in the past years, medication-related harm has not declined. The aim was to determine whether a prescriber-focussed participatory action intervention, initiated by a multidisciplinary pharmacotherapy team, is able to reduce the number of in-hospital prescriptions containing ≥1 prescribing error (PE), by identifying and reducing challenges in appropriate prescribing. Methods: A prospective single-centre before- and after study was conducted in an academic hospital in the Netherlands. Twelve clinical wards (medical, surgical, mixed and paediatric) were recruited. Results: Overall, 321 patients with a total of 2978 prescriptions at baseline were compared with 201 patients with 2438 prescriptions postintervention. Of these, m456 prescriptions contained ≥1 PE (15.3%) at baseline and 357 prescriptions contained ≥1 PEs (14.6%) postintervention. PEs were determined in multidisciplinary consensus. On some study wards, a trend toward a decreasing number of PEs was observed. The intervention was associated with a nonsignificant difference in PEs (incidence rate ratio 0.96, 95% confidence interval 0.83–1.10), which was unaltered after correction. The most important identified challenges were insufficient knowledge beyond own expertise, unawareness of guidelines and a heavy workload. Conclusion: The tailored interventions developed with and implemented by stakeholders led to a statistically nonsignificant reduction in inappropriate in-hospital prescribing after a 6-month intervention period. Our prescriber-focussed participatory action intervention identified challenges in appropriate in-hospital prescribing on prescriber- and organizational level.
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Aim To provide insight into the basic characteristics of decision making in the treatment of symptomatic severe aortic stenosis (SSAS) in Dutch heart centres with specific emphasis on the evaluation of frailty, cognition, nutritional status and physical functioning/functionality in (instrumental) activities of daily living [(I)ADL]. Methods A questionnaire was used that is based on the European and American guidelines for SSAS treatment. The survey was administered to physicians and non-physicians in Dutch heart centres involved in the decision-making pathway for SSAS treatment. Results All 16 Dutch heart centres participated. Before a patient case is discussed by the heart team, heart centres rarely request data from the referring hospital regarding patients’ functionality (n = 5), frailty scores (n = 0) and geriatric consultation (n = 1) as a standard procedure. Most heart centres ‘often to always’ do their own screening for frailty (n = 10), cognition/mood (n = 9), nutritional status (n = 10) and physical functioning/functionality in (I)ADL (n = 10). During heart team meetings data are ‘sometimes to regularly’ available regarding frailty (n = 5), cognition/mood (n = 11), nutritional status (n = 8) and physical functioning/functionality in (I)ADL (n = 10). After assessment in the outpatient clinic patient cases are re-discussed ‘sometimes to regularly’ in heart team meetings (n = 10). Conclusions Dutch heart centres make an effort to evaluate frailty, cognition, nutritional status and physical functioning/functionality in (I)ADL for decision making regarding SSAS treatment. However, these patient data are not routinely requested from the referring hospital and are not always available for heart team meetings. Incorporation of these important data in a structured manner early in the decision-making process may provide additional useful information for decision making in the heart team meeting.
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Introduction: A trauma resuscitation is dynamic and complex process in which failures could lead to serious adverse events. In several trauma centers, evaluation of trauma resuscitation is part of a hospital's quality assessment program. While video analysis is commonly used, some hospitals use live observations, mainly due to ethical and medicolegal concerns. The aim of this study was to compare the validity and reliability of video analysis and live observations to evaluate trauma resuscitations. Methods: In this prospective observational study, validity was assessed by comparing the observed adherence to 28 advanced trauma life support (ATLS) guideline related tasks by video analysis to life observations. Interobserver reliability was assessed by calculating the intra class coefficient of observed ATLS related tasks by live observations and video analysis. Results: Eleven simulated and thirteen real-life resuscitations were assessed. Overall, the percentage of observed ATLS related tasks performed during simulated resuscitations was 10.4% (P < 0.001) higher when the same resuscitations were analysed using video compared to live observations. During real-life resuscitations, 8.7% (p < 0.001) more ATLS related tasks were observed using video review compared to live observations. In absolute terms, a mean of 2.9 (during simulated resuscitations) respectively 2.5 (during actual resuscitations) ATLS-related tasks per resuscitation were not identified using live observers, that were observed through video analysis. The interobserver variability for observed ATLS related tasks was significantly higher using video analysis compared to live observations for both simulated (video analysis: ICC 0.97; 95% CI 0.97-0.98 vs. live observation: ICC 0.69; 95% CI 0.57-0.78) and real-life witnessed resuscitations (video analyse 0.99; 95% CI 0.99-1.00 vs live observers 0.86; 95% CI 0.83-0.89). Conclusion: Video analysis of trauma resuscitations may be more valid and reliable compared to evaluation by live observers. These outcomes may guide the debate to justify video review instead of live observations.
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Background: The majority of patients diagnosed with early-stage breast cancer are in a position to choose between having a mastectomy or lumpectomy with radiation therapy (breast-conserving therapy). Since the long-term survival rates for mastectomy and for lumpectomy with radiation therapy are comparable, patients’ informed preferences are important for decision-making. Although most clinicians believe that they do include patients in the decision-making process, the information that women with breast cancer receive regarding the surgical options is often rather subjective, and does not invite patients to express their preferences. Shared decision-making (SDM) is meant to help patients clarify their preferences, resulting in greater satisfaction with their final choice. Patient decision aids can be very supportive in SDM. We present the protocol of a study to β test a patient decision aid and optimise strategies for the implementation of SDM regarding the treatment of early-stage breast cancer in the actual clinical setting. Methods/design: This paper concerns a preimplementation and post-implementation study, lasting from October 2014 to June 2015. The intervention consists of implementing SDM using a patient decision aid. The intervention will be evaluated using qualitative and quantitative measures, acquired prior to, during and after the implementation of SDM. Outcome measures are knowledge about treatment, perceived SDM and decisional conflict. We will also conduct face-to-face interviews with a sample of these patients and their care providers, to assess their experiences with the implementation of SDM and the patient decision aid.
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Purpose In this systematic literature review, the effects of the application of a checklist during in hospital resuscitation of trauma patients on adherence to the ATLS guidelines, trauma team performance, and patient-related outcomes were integrated. Methods A systematic review was performed following the Preferred Reporting Items for Systematic Reviews and Metaanalyses checklist. The search was performed in Pubmed, Embase, CINAHL, and Cochrane inception till January 2019. Randomized controlled- or controlled before-and-after study design were included. All other forms of observational study designs, reviews, case series or case reports, animal studies, and simulation studies were excluded. The Effective Public Health Practice Project Quality Assessment Tool was applied to assess the methodological quality of the included studies. Results Three of the 625 identified articles were included, which all used a before-and-after study design. Two studies showed that Advanced Trauma Life Support (ATLS)-related tasks are significantly more frequently performed when a checklist was applied during resuscitation. [14 of 30 tasks (p < 0.05), respectively, 18 of 19 tasks (p < 0.05)]. One study showed that time to task completion (− 9 s, 95% CI = − 13.8 to − 4.8 s) and workflow improved, which was analyzed as model fitness (0.90 vs 0.96; p < 0.001); conformance frequency (26.1% vs 77.6%; p < 0.001); and frequency of unique workflow traces (31.7% vs 19.1%; p = 0.005). One study showed that the incidence of pneumonia was higher in the group where a checklist was applied [adjusted odds ratio (aOR) 1.69, 95% Confidence Interval (CI 1.03–2.80)]. No difference was found for nine other assessed complications or missed injuries. Reduced mortality rates were found in the most severely injured patient group (Injury Severity score > 25, aOR 0.51, 95% CI 0.30–0.89). Conclusions The application of a checklist may improve ATLS adherence and workflow during trauma resuscitation. Current literature is insufficient to truly define the effect of the application of a checklist during trauma resuscitation on patientrelated outcomes, although one study showed promising results as an improved chance of survival for the most severely injured patients was found.
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Background: Although the timely involvement of trauma surgeons is widely accepted as standard care in a trauma center, there is an ongoing debate regarding the value of an on-site attending trauma surgeon compared to an on-call trauma surgeon. The aim of this study was to evaluate the effect of introducing an on-site trauma surgeons and the effect of their presence on the adherence to Advanced Trauma Life Support (ATLS) related tasks and resuscitation pace in the trauma bay. Methods: The resuscitations of severely injured (ISS > 15) trauma patients 1 month before and 1 month after the introduction of an on-site trauma surgeon were assessed using video analysis. The primary outcome was total resuscitation time. Second, time from trauma bay admission until tasks were performed, and ATLS adherence were assessed. Results: Fifty-eight videos of resuscitations have been analyzed. After the introduction of an on-site trauma surgeon, the mean total resuscitation time was 259 seconds shorter (p = 0.03) and seven ATLS related tasks (breathing assessment, first and second IV access, EKG monitoring and abdominal, pelvic, and long bone examination; were performed significantly earlier during trauma resuscitation (p ≤ 0.05). Further, we found a significant enhancement to the adherence of six ATLS related tasks (Airway assessment, application of a rigid collar, IV access; EKG monitoring, log roll, and pronouncing results of arterial blood gas analysis; p-value ≤0.05). Conclusion: Having a trauma surgeon on-site during trauma resuscitations of severely injured patients resulted in improved processes in the trauma bay. This demonstrates the need of direct involvement of trauma surgeons in institutions treating severely injured patients.
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Purpose Non-technical skills have gained attention, since enhancement of these skills is presumed to improve the process of trauma resuscitation. However, the reliability of assessing non-technical skills is underexposed, especially when using video analysis. Therefore, our primary aim was to assess the reliability of the Trauma Non-Technical Skills (T-NOTECHS) tool by video analysis. Secondarily, we investigated to what extent reliability increased when the T-NOTECHS was assessed by three assessors [average intra-class correlation (ICC)] instead of one (individual ICC). Methods As calculated by a pre-study power analysis, 18 videos were reviewed by three research assistants using the T-NOTECHS tool. Average and individual degree of agreement of the assessors was calculated using a two-way mixed model ICC. Results Average ICC was ‘excellent’ for the overall score and all five domains. Individual ICC was classified as ‘excellent’ for the overall score. Of the five domains, only one was classified as ‘excellent’, two as ‘good’ and two were even only ‘fair’. Conclusions Assessment of non-technical skills using the T-NOTECHS is reliable using video analysis and has an excellent reliability for the overall T-NOTECHS score. Assessment by three raters further improve the reliability, resulting in an excellent reliability for all individual domains.
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