In the Ems-Dollart-region in the North of the Netherlands and North-West Germany, startups are contributing to the region’s economy. In principal, well-developed startup and entrepreneurship ecosystems are an important factor for prosperity. Such ecosystems consist of companies, regional policy institutions, universities and other private or public organisations. In a functioning entrepreneurship ecosystem, these players optimally interact with each other. In January 2019, the project “Startup Perspectives” (Bakker et al., 2019) explored the opportunities and possibilities that a cross-border startup scene would bring to the Ems-Dollart-region. Based on this research, the Startup Ems-Dollart-region project emerged. Within the Interreg V A scheme, the project is funded by Interreg/EDR and runs from June 1st 2019-June 30th 2022. The aim of the Startup Ems-Dollart-region project is to facilitate a cross-border startup ecosystem between the three provinces of Drenthe, Friesland and Groningen on the Dutch side and the WeserEms region in Germany. This will entail the formation of a (digital) network for the startup scene, tailored mentoring programs for young entrepreneurs and the development of entrepreneurship education programs with a cross-border focus. Overall, a sustainable and long-lasting entrepreneurship ecosystem shall facilitate cross-border activities among young entrepreneurs and startups.To gain an understanding of the current entrepreneurship environment in all the regions, a mapping of the relevant stakeholders took place at the beginning of the project. This report will summarize the key findings of this mapping exercise.
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Background: A new selective preventive spinal immobilization (PSI) protocol was introduced in the Netherlands. This may have led to an increase in non-immobilized spinal fractures (NISFs) and consequently adverse patient outcomes. Aim: A pilot study was conducted to describe the adverse patient outcomes in NISF of the PSI protocol change and assess the feasibility of a larger effect study. Methods: Retrospective comparative cohort pilot study including records of trauma patients with a presumed spinal injury who were presented at the emergency department of a level 2 trauma center by the emergency medical service (EMS). The pre-period 2013-2014 (strict PSI protocol), was compared to the post-period 2017-2018 (selective PSI protocol). Primary outcomes were the percentage of records with a NISF who had an adverse patient outcome such as neurological injuries and mortality before and after the protocol change. Secondary outcomes were the sample size calculation for a larger study and the feasibility of data collection. Results: 1,147 records were included; 442 pre-period, and 705 post-period. The NISF-prevalence was 10% (95% CI 7-16, n = 19) and 8% (95% CI 6-11, n = 33), respectively. In both periods, no neurological injuries or mortality due to NISF were found, by which calculating a sample size is impossible. Data collection showed to be feasible. Conclusions: No neurological injuries or mortality due to NISF were found in a strict and a selective PSI protocol. Therefore, a larger study is discouraged. Future studies should focus on which patients really profit from PSI and which patients do not.
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Big report of the Startup EDR Project. See how the project promoted interregional collaboration and development for startups within the Ems-Dollart region.
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Background: The quality of care given by EMS staff is in part monitored by routine review of deployment reports that the providers must complete after each deployment. The assessment consists of determining whether a deployment was performed in a medically correct manner and thus whether the clinical reasoning process was appropriate. The time used during the deployment is also measured, as there are often time limits for performing different parts of the deployment and these must be adhered to. One might question whether measuring the time spent really gives insight into the quality of care, and if it might not be more useful to see how that time was spent. We therefore conceived a study to map the EMS care process and evaluate this process in relation to the time used.Methods: We used a focused ethnographic study design. Video recordings of EMS deployments in combination with semi-structured interviews of the EMS providers involved, were thematically analysed. This led to insights into the EMS care process and the embedded clinical reasoning. By categorising the professional activities we identified we were able to define a model that describes in general the EMS care process. We reported the first part of this study in which we developed this so called SPART model in a separate paper. In this second part of the study we determined the execution time within a deployment and measured the frequency of occurrence and the duration of the identified activities. We interpreted the operational content and the time variables both qualitatively and quantitatively. We also determined the distribution of activities over the three deployment operational periods (response, on-scene and transport period).Results: Using the SPART model, we gained insight into the different activities' nature, order, and duration. We could qualitatively judge the effectiveness of the clinical reasoning process, i.e., the quality of care delivered. Generally, the studied cases were followable, and the clinical reasoning process was medically logical. The diagnostic process sometimes continued after the clinical decision, which was not medically logical. Remarkably, this never changed the clinical decision. Although this could negatively affect the quality of care, we found no clinical evidence that this was the case.Conclusion: Our findings demonstrated that the quality of care in EMS can be measured by using the SPART model to evaluate EMS deployments. We concluded that qualitative judgment was more important than quantitative evaluation. Interpreting the order of different activities led to the clearest understanding of the clinical reasoning process. It was concluded that knowledge of the exact time used per activity and, in total, had the least impact on understanding the clinical reasoning process.
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In 2016, a selective preventive spinal immobilization protocol for emergency medical service (EMS) nurses was introduced in the Netherlands. This protocol leaves more room for autonomous decision-making in the pre-hospital phase regarding preventive spinal immobilization (PSI), compared to the previous strict protocol. In this study, we explored the experiences and perspectives of EMS nurses on decision making about PSI after the change from a strict to a selective PSI protocol. Methods: We used a qualitative design with semi structured face-to-face interviews. Thematic analysis was applied. The capability-opportunity-motivation behavior-model was used to interpret the experiences and perspectives. Results: Thirteen EMS nurses from three emergency medical services were interviewed. Respondents appreciated autonomous decision-making as there was more room for patient-centered informed decision-making. However, autonomous decision-making required optimized knowledge and skills and elicited the need to receive feedback on their decision not to apply PSI. When nurses anticipated resistance to selective PSI from receiving hospitals, they were doubtful to apply it. Conclusion: Nurses appreciate the increased autonomy in decision-making, encouraging them to focus on patient-centered care. Increased autonomy also places higher demands on knowledge and skills, calling for training and feedback. Anticipated resistance to receiving hospitals based on mutual protocol discrepancies could lead to PSI application by EMS nurses while not deemed necessary. Recommendations: To enhance PSI procedures, optimizing the knowledge and skills of EMS nurses that facilitate on-scene decision-making may be indicated. A learning loop for feedback between the EMS nurses and the involved hospitals may add to their professional performance. More efforts are needed to create support for the changed Emergency Medical Services strategy in PSI to prevent unnecessary PSI and practice variation.
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ObjectiveIn 2016, a selective preventive spinal immobilization protocol for emergency medical service (EMS) nurses was introduced in the Netherlands. This protocol leaves more room for autonomous decision-making in the pre-hospital phase regarding preventive spinal immobilization (PSI), compared to the previous strict protocol. In this study, we explored the experiences and perspectives of EMS nurses on decisionmaking about PSI after the change from a strict to a selective PSI protocol. Methods: We used a qualitative design with semi-structured face-to-face interviews. Thematic analysis was applied. The capability-opportunity-motivation-behavior-model was used to interpret the experiences and perspectives. Results: Thirteen EMS nurses from three emergency medical services were interviewed. Respondents appreciated autonomous decision-making as there was more room for patient-centered informed decision-making. However, autonomous decision-making required optimized knowledge and skills and elicited the need to receive feedback on their decision not to apply PSI. When nurses anticipated resistance to selective PSI from receiving hospitals, they were doubtful to apply it. Conclusion: Nurses appreciate the increased autonomy in decision-making, encouraging them to focus on patient-centered care. Increased autonomy also places higher demands on knowledge and skills, calling for training and feedback. Anticipated resistance to receiving hospitals based on mutual protocol discrepancies could lead to PSI application by EMS nurses while not deemed necessary. Recommendations: To enhance PSI procedures, optimizing the knowledge and skills of EMS nurses that facilitate on-scene decision-making may be indicated. A learning loop for feedback between the EMS nurses and the involved hospitals may add to their professional performance. More efforts are needed to create support for the changed Emergency Medical Services strategy in PSI to prevent unnecessary PSI and practice variation.
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BACKGROUND: Clinical reasoning is a crucial task within the Emergency Medical Services (EMS) care process. Both contextual and cognitive factors make the task susceptible to errors. Understanding the EMS care process' structure could help identify and address issues that interfere with clinical reasoning. The EMS care process is complex and only basically described. In this research, we aimed to define the different phases of the process and develop an overarching model that can help detect and correct potential error sources, improve clinical reasoning and optimize patient care.METHODS: We conducted a focused ethnography study utilizing non-participant video observations of real-life EMS deployments combined with thematic analysis of peer interviews. After an initial qualitative analysis of 7 video observations, we formulated a tentative conceptual model of the EMS care process. To test and refine this model, we carried out a qualitative, thematic analysis of 28 video-recorded cases. We validated the resulting model by evaluating its recognizability with a peer content analysis utilizing semi-structured interviews.RESULTS: Based on real-life observations, we were able to define and validate a model covering the distinct phases of an EMS deployment. We have introduced the acronym "SPART" to describe ten different phases: Start, Situation, Prologue, Presentation, Anamnesis, Assessment, Reasoning, Resolution, Treatment, and Transfer.CONCLUSIONS: The "SPART" model describes the EMS care process and helps to understand it. We expect it to facilitate identifying and addressing factors that influence both the care process and the clinical reasoning task embedded in this process.
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Potato cyst nematodes (PCN) are in the Northern Netherlands and the Weser-Ems Region in Germany a major issue for farmers. The yearly average damage by PCN is about 100 Euros/hectare for farmers. Infestations of potato cyst nematodes can be controlled in a sustainable way by proper potato variety selection. Potato varieties vary in the degree of tolerance and resistance to PCN. However, this knowledge is used by only a small fraction of the farmers. The AGROBIOKON project, which is funded by the INTERREG EDR-region, the Landwirtschaftskammer Niedersachsen and the Dutch farmers association, have developed a decision support system for potato variety selection based upon population dynamic models for PCN: OPTIRas. The scientific principles and the model behind the decision support system will be presented. The model will be applied to PCN field experiments in the Weser-Ems region. Experience of using this decision support system in farmer study groups in the Netherlands and Germany will be shared.
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