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Institute
A brief questionnaire for measuring alarm fatigue in nurses and physicians in intensive care units
(2023)
When exposed to hundreds of medical device alarms per day, intensive care unit (ICU) staff can develop “alarm fatigue” (i.e., desensitisation to alarms). However, no standardised way of quantifying alarm fatigue exists. We aimed to develop a brief questionnaire for measuring alarm fatigue in nurses and physicians. After developing a list of initial items based on a literature review, we conducted 15 cognitive interviews with the target group (13 nurses and two physicians) to ensure that the items are face valid and comprehensible. We then asked 32 experts on alarm fatigue to judge whether the items are suited for measuring alarm fatigue. The resulting 27 items were sent to nurses and physicians from 15 ICUs of a large German hospital. We used exploratory factor analysis to further reduce the number of items and to identify scales. A total of 585 submissions from 707 participants could be analysed (of which 14% were physicians and 64% were nurses). The simple structure of a two-factor model was achieved within three rounds. The final questionnaire (called Charité Alarm Fatigue Questionnaire; CAFQa) consists of nine items along two scales (i.e., the “alarm stress scale” and the “alarm coping scale”). The CAFQa is a brief questionnaire that allows clinical alarm researchers to quantify the alarm fatigue of nurses and physicians. It should not take more than five minutes to administer.
Wie können wir die Lehre heute gestalten, wenn wir nicht wissen, was morgen gebraucht wird?
Unter dieser Perspektive werden aktuelle Herausforderungen und Chancen universitärer Bildung betrachtet. Ausgehend von einer höheren organisatorischen Perspektive übergehend zu der Mikroperspektive einer einzelnen Lehrveranstaltung. Die Rolle von generativen KI-Systemen wird betrachtet.
Der Begriff New Learning im Kontext von New Work wird aufgegriffen und in Anlehnung an das Agile Manifesto der SW-Entwicklung wird ein agiles Manifest für die Lehre formuliert. Dieses wird in den Zusammenhang mit den sog. Zukunftskompetenzen oder Future Skills gebracht.
Das Interesse am Lehrkonzept des Inverted Classroom (ICM) erfreut sich in den letzten Jahren zunehmender Beliebtheit und mit Beginn der Corona-Pandemie und dem damit verbundenen Umstieg auf Online-gestützt Lehrformate ist es noch einmal deutlich gestiegen. Beim ICM wird die Phase der Wissensvermittlung aus der Präsenzphase der traditionellen Lehrveranstaltung umgedreht: Was bisher während der gemeinsamen Veranstaltungszeit präsentiert wurde, wird nun über Texte, Videos u.a. in eine vorgelagerte Selbstlernphase aus der Veranstaltungszeit ausgelagert. Die gemeinsame Präsenzzeit wird für aktives Lernen, Vertiefung, Diskussion oder andere aktive Formate genutzt. Das Inverted Classroom Modell wird Disziplin- und veranstaltungsübergreifend in der Lehre sowohl in Schulen wie auch Hochschulen genutzt.
Die von Sutherland und Schwaber entwickelte Scrum-Methodik ist ein etabliertes Vorgehensmodell in der Software-Entwicklung und dem Projektmanagement. Scrum bietet durch definierte Rollen, Artefakte und Ereignisse einen Rahmen in dem inkrementell an der Entwicklung eines Produktes gearbeitet werden kann. Diese Inkremente werden in Arbeitszyklen (Sprints) erarbeitet, bei denen die stetige Verbesserung des Produktes und der Arbeitsweise im Fokus stehen. Mit eduScrum oder Scrum4Schools wird Scrum in die Lehre übertragen.
Es liegt auf der Hand, dass sich die Konzepte des ICM und Scrum sehr gut ergänzen und die Scrum Methodik einen formalen Rahmen für ICM bieten kann.
Der Beitrag beschreibt die Umsetzung dieser Kombination agiler Methodiken aus Scrum im Kontext des Inverted Classroom in einer Informatik-Grundlagenveranstaltung an der Hochschule Osnabrück.
Artificial intelligence (AI) and human-machine interaction (HMI) are two keywords that usually do not fit embedded applications. Within the steps needed before applying AI to solve a specific task, HMI is usually missing during the AI architecture design and the training of an AI model. The human-in-the-loop concept is prevalent in all other steps of developing AI, from data analysis via data selection and cleaning to performance evaluation. During AI architecture design, HMI can immediately highlight unproductive layers of the architecture so that lightweight network architecture for embedded applications can be created easily. We show that by using this HMI, users can instantly distinguish which AI architecture should be trained and evaluated first since a high accuracy on the task could be expected. This approach reduces the resources needed for AI development by avoiding training and evaluating AI architectures with unproductive layers and leads to lightweight AI architectures. These resulting lightweight AI architectures will enable HMI while running the AI on an edge device. By enabling HMI during an AI uses inference, we will introduce the AI-in-the-loop concept that combines AI's and humans' strengths. In our AI-in-the-loop approach, the AI remains the working horse and primarily solves the task. If the AI is unsure whether its inference solves the task correctly, it asks the user to use an appropriate HMI. Consequently, AI will become available in many applications soon since HMI will make AI more reliable and explainable.
Hintergrund und Ziele:
In der Physio- und Ergotherapie sowie in der Logopädie in Deutschland herrscht bereits seit mehreren Jahren ein Fachkräftemangel. Die Gründe für diesen Mangel sind vielschichtig, in vorhandenen Studien werden jedoch nur einzelne Ursachen genauer beleuchtet. Ziel dieser Arbeit ist es daher auf der einen Seite, die Einflussgrößen auf die Fachkräfteentwicklung zusammenzustellen. Da durch Diskussionen immer wieder die These aufgestellt wird, dass eine Vollakademisierung einen negativen Effekt auf die Fachkräfteentwicklung hat, sollen auf der anderen Seite die Veränderungen der Studierenden-, Absolventen- und Beschäftigtenzahlen in Österreich und der Schweiz vor und nach der Akademisierung untersucht und dargestellt werden.
Methode:
Zur Untersuchung der verschiedenen Gründe für den Fachkräftemangel in den Therapieberufen wurde eine systematische Literaturrecherche im Sinne eines Scoping Reviews durchgeführt. Die Daten zu Studierenden-, Absolventen- und Beschäftigtenzahlen in Österreich und der Schweiz wurden als Sekundärdatenanalyse erhoben und interpretiert.
Ergebnisse:
Die Gründe für den Fachkräftemangel in den Therapieberufen sind viel-schichtig. Als Kategorien wurden der demografische Wandel, die Bedingungen der Ausbildung sowie die Berufsflucht recherchiert. Die Ursachen zum Verlassen des Berufes findet man in finanziellen Aspekten, den Arbeitsbedingungen insgesamt und der fehlenden Anerkennung und Wertschätzung. Die erhobenen Daten aus Österreich und der Schweiz zeigen insgesamt einen positiven Trend in den letzten Jahren. Die Studierenden- und Absolventenzahlen sind in den genannten Ländern stetig gestiegen und führten daher auch zu einer Erhöhung der Beschäftigtenzahlen.
Schlussfolgerung:
Die verschiedenen Gründe für den Fachkräftemangel konzentrieren sich grundsätzlich darauf, dass die Attraktivität der Berufsfelder gesteigert werden muss, um Schulabsolventen für die Berufe zu gewinnen und Beschäftigte im Beruf zu halten. Als Lösungsmöglichkeit wird die Akademisierung gefordert, die zu einer Attraktivitätssteigerung führen könnte. Die Zahlen aus Österreich und der Schweiz zeigen, dass es durch die Akademisierung nicht zu einem Einbruch der Zahlen von Personen in Ausbildung in den untersuchten Berufsgruppen gekommen ist und weiterhin sehr viele junge Menschen an einer akademischen Ausbildung in den Heilmittelberufen interessiert sind.
In Deutschland werden jährlich ca. 11 Mio. Tonnen Lebensmittel entlang der Wertschöpfungskette entsorgt.
Die Tafeln verteilen ca. 265 000 Tonnen dieser Lebensmittel
und spielen eine bedeutende Rolle in der Reduzierung von
vermeidbaren Lebensmittelabfällen. Ein Teilziel des Projekts LeMiFair ist es, Einblicke in die Arbeit und die Herausforderungen der Tafeln in Niedersachsen zu gewinnen.
Diet can influence healthy aging through anti- or proinflammatory effects, partly by modulating the gut microbiome composition. This study investigated the relationships between the Dietary Inflammatory Index (DII), the gut microbiome, and nutritional status in elderly individuals. Methods: This cross-sectional analysis included 114 home-dwelling individuals aged over 70 years. The Energy-adjusted DII (E-DII) was calculated from 3-day food diaries, and blood samples were taken to measure micronutrient status, glucose, and lipid metabolism. Body composition was assessed using bioimpedance, and fecal gut microbiome composition was analyzed through 16S rRNA gene sequencing. The participants were categorized into maintaining an anti-inflammatory diet (AD) and a pro-inflammatory diet (PD) based on the median E-DII score. The associations of E-DII groups with blood markers and microbial diversity and composition were examined using the analysis of covariance, permutational analysis of variance, and multivariate linear models. Results: The AD (n = 57, 76 ± 3.83 years) and PD (n = 57, 75 ± 5.21 years) groups were similar in age but differed in sex distribution, with a higher proportion of females in the AD group (p = 0.02). When compared to the PD group and adjusted for sex, the AD group had a lower body mass index, fat mass, fasting insulin level, HOMA-IR (Homeostasis Model Assessment of Insulin Resistance), fasting triglycerides, and serum uric acid concentration (all p < 0.05), with higher concentrations of high-density lipoprotein, red-blood-cell folate (RBC), and Omega-3 index (all p < 0.05). While the microbial diversity and composition did not differ between the DII groups, folate concentrations were negatively associated with Agathobacter and positively associated with Bacteroides abundance (both q = 0.23). Lower uric acid concentrations were associated with a higher abundance of Bifidobacterium (q = 0.09) and lower abundance of Phocaeicola (q = 0.11). Discussion: The study suggests that following an anti-inflammatory diet is associated with improved nutritional status in the elderly. Dietary blood markers, rather than E-DII, were found to be associated with the gut microbiome, suggesting a potential link between the microbiome and changes in nutritional markers independent of diet. Further studies are needed to explore the causal relationship between dietary inflammatory potential, gut microbiome, and healthy aging.
Auf Basis von drei Proteinabsenkungsversuchen auf einem Praxisbetrieb in Nord-West Deutschland und einem in einem Versuchsstall wurden die Auswirkungen dieser Fütterung auf betriebliche N-Bilanzen und ausgewählte Nachhaltigkeitsparameter betrachtet.
Die N-Reduktion in den jeweiligen Versuchsgruppen hatte keine Verringerung
des N-Überschusses zur Folge. Die N-Ausscheidungen konnten in allen 4 Projekten deutlich reduziert werden und sie unterschieden sich signifikant voneinander.
Die N-Effizienz verbesserte sich ebenfalls signifikant. Bei den Klimabilanzen entscheidet alleinig die Herkunft des Sojaextraktionsschrotes (Nord- oder Südamerika) ob der Einsatz einer stark N-reduzierten Fütterung sinnvoll ist oder nicht.
Eine generelle Verbesserung der Klimabilanz durch Einsparung von Sojaschrot konnte nicht belegt werden.
Bamboo is an environmentally friendly alternative to conventional materials in mechanical engineering such as steel or aluminium. Bamboo is the fastest growing plant in the world. Instead of releasing CO2 during the manufacturing process, bamboo absorbs CO2 as it grows.
In addition to the sustainability aspect, bamboo tubes also offer excellent properties as a lightweight construction material, which have been optimised through evolution. Bamboo tubes have high strength and stiffness at low weight when used as tension-compression bars or bending beams. Bamboo has strong, high-density fibres at the boundary area, where bending stresses are greatest. Towards the inside, where the stresses are lower, the bamboo becomes porous to optimise weight. This, together with knots arranged in regular intervals, counteracts buckling.
In mobile applications such as cars and bicycles, lightweight construction is sought for energy efficiency reasons. Because of its excellent lightweight properties, the project investigated whether bamboo could be used in mobile, automotive or agricultural engineering. For example, a bamboo bicycle frame has been developed with the aim to be as light as possible. There are bamboo bicycles on the market, but they can only be made one at a time by hand. The bamboo tubes are joined together and functional elements such as the bottom bracket and headset are integrated by wrapping them in resin-impregnated natural or carbon fibres. This makes the joints very heavy. A different approach is taken here: the bamboo tubes are drilled out slightly to achieve a defined internal diameter, and then short aluminium tubes are glued into the bamboo canes from the inside. To prevent the cane from breaking in the circumferential direction, i.e. perpendicular to the fibre direction, the bamboo tubes are wrapped in a thin layer of natural or carbon fibre impregnated with synthetic resin. The aluminium tubes and functional elements are welded or soldered together beforehand.
The design of the bicycle frame, i.e. the dimensioning of the bamboo tubes and joints, was based on extensive bending and tensile tests to determine the strength properties of the natural material bamboo. The bonding between the bamboo cane and the aluminium tube was also investigated experimentally. Finally, several prototype bicycle frames were made and tested for durability according to DIN-EN-14764. The frames passed the tests.
The result is a bamboo bicycle that is manufactured with standardised connectors and joints. The assembly concept developed allows both fully automated and semi-automated series production of bamboo bicycles.
Computer-image processing becomes more and more important in the analysis of data in biological and agricultural research and practice. However, robust image processing is highly de pendent on the histogram analysis algorithms used and the quality of the data being processed. The algorithm presented here aims to improve the accuracy of the classification of image data generated under complex boundary situations and inconsistent lighting conditions. Using the example of the determination of nitrogen content of tomato leaves and the qualitative determination of starch con tent of apples on the basis of color image processing, we showed that the developed algorithm is able to perform a robust classification and represents an improvement to simple histogram analysis.
Advances in high-throughput DNA sequencing have propelled research into the human microbiome and its link to metabolic health. We explore microbiome analysis methods, specifically emphasizing metabolomics, how dietary choices impact the production of microbial metabolites, providing an overview of studies examining the connection between enterotypes and diet, and thus, improvement of personalized dietary recommendations. Acetate, propionate, and butyrate constitute more than 95% of the collective pool of short-chain fatty acids. Conflicting data on acetate’s effects may result from its dynamic signaling, which can vary depending on physiological conditions and metabolic phenotypes. Human studies suggest that propionate has overall anti-obesity effects due to its well-documented chemistry, cellular signaling mechanisms, and various clinical benefits. Butyrate, similar to propionate, has the ability to reduce obesity by stimulating the release of appetite-suppressing hormones and promoting the synthesis of leptin. Tryptophan affects systemic hormone secretion, with indole stimulating the release of GLP-1, which impacts insulin secretion, appetite suppression, and gastric emptying. Bile acids, synthesized from cholesterol in the liver and subsequently modified by gut bacteria, play an essential role in the digestion and absorption of dietary fats and fat-soluble vitamins, but they also interact directly with intestinal microbiota and their metabolites. One study using statistical methods identified primarily two groupings of enterotypes Bacteroides and Ruminococcus. The Prevotella-dominated enterotype, P-type, in humans correlates with vegetarians, high-fiber and carbohydrate-rich diets, and traditional diets. Conversely, individuals who consume diets rich in animal fats and proteins, typical in Western-style diets, often exhibit the Bacteroides-dominated, B-type, enterotype. The P-type showcases efficient hydrolytic enzymes for plant fiber degradation but has limited lipid and protein fermentation capacity. Conversely, the B-type features specialized enzymes tailored for the degradation of animal-derived carbohydrates and proteins, showcasing an enhanced saccharolytic and proteolytic potential. Generally, models excel at predictions but often struggle to fully elucidate why certain substances yield varied responses. These studies provide valuable insights into the potential for personalized dietary recommendations based on enterotypes
Grasslands are ubiquitous globally, and their conservation and restoration are critical to combat both the biodiversity and climate crises. There is increasing interest in implementing effective multifunctional grassland restoration to restore biodiversity concomitant with above- and belowground carbon sequestration, delivery of carbon credits and/or integration with land dedicated to solar panels. Other common multifunctional restoration considerations include improved forage value, erosion control, water management, pollinator services, and wildlife habitat provisioning. In addition, many grasslands are global biodiversity hotspots. Nonetheless, relative to their impact, and as compared to forests, the importance of preservation, conservation, and restoration of grasslands has been widely overlooked due to their subtle physiognomy and underappreciated contributions to human and planetary well-being. Ultimately, the global success of carbon sequestration will depend on more complete and effective grassland ecosystem restoration. In this review, supported by examples from across the Western world, we call for more strenuous and unified development of best practices for grassland restoration in three areas of concern: initial site conditions and site preparation; implementation of restoration measures and management; and social context and sustainability. For each area, we identify the primary challenges to grassland restoration and highlight case studies with proven results to derive successful and generalizable solutions.
Biomechanical analyses are capable of capturing and evaluating human motions. In addition to the major biomechanical fields of kinetics and kinematics, electromyography (EMG) provides a reliable way to analyse neuromuscular activities, e.g. inter- and intramuscular coordination or fatigue behavior. Based on these parameters it is possible to conclude to clinically relevant parameters such as motor control, muscular coordination or compensation strategies with different loads. In addition to this, EMG can be used in treatment itself, e.g. biofeedback-training with an EMG is an effective and evidenced based tool to improve neuromuscular control. The purpose of this workshop is to show the advantages of implementing EMG in performing artists´ health and to demonstrate additional therapy and diagnostic options.
This workshop briefly introduces the theoretical principles of EMG and the clinical applications in the context of performing artists´ health. It explains why EMG provides an additional value in the clinical reasoning process and supports the therapist, but decision making in the clinical reasoning process should never be based on EMG solely.
In the further course of the workshop the use of EMG in diagnostics and therapy (biofeedback) with performing artists is practically demonstrated and discussed with the participants.
Approach of Presentation:
1. Short presentation: introduction and understanding of EMG (educational objective 1)
2. Short case presentation of a performing artist to introduce EMG in the field of performing artists´ health and clinical reasoning (educational objective 2)
3. Interactive practical demonstration (diagnosis and biofeedback-training) as the central part of the workshop. Questions and comments will be discussed directly throughout the group (educational objective 3)
Clinical Significance:
EMG based functional neuromuscular diagnostics and biofeedback-training provides both the therapist as well as the performing artist with additional value in their clinical work.
Educational Objectives:
At the end of the workshop, the participants will be able to…
1. understand and describe the basic principles of EMG
2. understand and describe the importance of EMG in the context of performing artists´ health, physical therapy and clinical reasoning
3. use EMG on performing artists in the performance process
Background: Multilingual children with suspected SLCN are often overlooked or their needs not accurately differentiated regarding the necessity of language support or therapy. The purpose of the study was to conceptualize, carry out and evaluate a local language support (LS) project within linguistically and culturally diverse (LCD) families and its effects on all collaborating participants.
Methods: Eight SLT students and one lecturer took part in the LS-project, alongside equivalent numbers of family liaison personnel. Students visited more than 10 young children aged between 2-6 years, and for each child 10 weekly home visits were carried out. Language enhancement was documented, several case studies with children and interviews with five liaison personnel conducted.
Results: All SLT students perceived changes in the behaviour and communication of participating children. Children in the case studies developed from pre-verbal to verbal means of communication and family liaison personnel reported positive changes alongside parental wishes to continue the support.
Conclusion: Local language support projects with LCD families can lead to positive differences regarding their children's communication development and better inclusion in mainstream society. SLT students benefit from working with LCD families and their collaborative support together with family liaison personnel, and vice versa.
Learning Outcomes: To differentiate the influence of language enhancement vs. formalized SLT therapy. To enhance the relationship with LCD clientele and collaboration with liaison personnel in SLCN settings. To incorporate life-long learning and intercultural sensitization.
This paper investigates four different mobile robots with respect to their drivingcharacteristics and soil preservation properties in an agricultural environment.Thereby, robots of classical design from agriculture as well as systems from spacerobotics with advanced locomotion concepts are considered to determine theindividual advantages of each rover concept with respect to the application domain.Locomotion experiments were conducted to analyze the general driving behavior,tensile force, and obstacle‐surmounting capability and ground interaction of eachrobot. Various soil conditions typical for the area of application are taken intoaccount, which are varied in terms of moisture and density. The presented workcovers the specification of the conducted experiments, documentation of theimplementation as well as analysis and evaluation of the collected data. In theevaluation, particular attention is paid to the change in driving characteristics underdifferent soil conditions, as well as to the soil stress caused by driving, since soilquality is of critical importance for agricultural applications. The analysis shows thatthe advanced locomotion concepts, as used in space robotics, also have positiveimplications for certain requirements in agricultural applications, such as maneuver-ability in wet conditions and soil conservation. The results show potential for designinnovations in agricultural robotics that can be used, to open up new fields ofapplication for instance in the context of precision farming.
Semi-natural grasslands (SNGs) are an essential part of European cultural landscapes. They are an important habitat for many animal and plant species and offer a variety of ecological functions. Diverse plant communities have evolved over time depending on environmental and management factors in grasslands. These different plant communities offer multiple ecosystem services and also have an effect on the forage value of fodder for domestic livestock. However, with increasing intensification in agriculture and the loss of SNGs, the biodiversity of grasslands continues to decline. In this paper, we present a method to spatially classify plant communities in grasslands in order to identify and map plant communities and weed species that occur in a semi-natural meadow. For this, high-resolution multispectral remote sensing data were captured by an unmanned aerial vehicle (UAV) in regular intervals and classified by a convolutional neural network (CNN). As the study area, a heterogeneous semi-natural hay meadow with first- and second-growth vegetation was chosen. Botanical relevés of fixed plots were used as ground truth and independent test data. Accuracies up to 88% on these independent test data were achieved, showing the great potential of the usage of CNNs for plant community mapping in high-resolution UAV data for ecological and agricultural applications.
HRM processes are increasingly AI-driven, and HRM supports the general digital transformation of companies’ viable competitiveness. This paper points out possible positive and negative effects on HRM, workplaces, and workersorganizations along the HR processes and its potential for competitive advantage in regard to managerial decisions on AI implementation regarding augmentation and automation of work.
A systematic literature review that includes 62 international journals across different disciplines and contains top-tier academic and German practitioner journals was conducted. The literature analysis applies the resource-based view (RBV) as a lens through which to explore AI-driven HRM as a potential source of organizational capabilities.
The analysis shows four ambiguities for AI-driven HRM that might support sustainable company development or might prevent AI application: job design, transparency, performance and data ambiguity. A limited scholarly discussion with very few empirical studies can be stated. To date, research has mainly focused on HRM in general, recruiting, and HR analytics in particular.
The four ambiguities’ context-specific potential for capability building in firms is indicated, and research avenues are developed.
This paper critically explores AI-driven HRM and structures context-specific potential for capability building along four ambiguities that must be addressed by HRM to strategically contribute to an organization’s competitive advantage.
Iron deficiency is a global issue and can lead to a variety of clinical pictures. The biofor-tification of vegetables with iron could complement the existing portfolio of iron-rich products, thus improving iron supply in the long term. In order to determine whether the iron-biofortified vegetables could meet this demand and would address appropriate target groups, a quantitative online survey was conducted in Germany. Based on 1000 consumer responses, a cluster analysis was performed. The results showed a four-cluster solution. The first cluster was holistically engaged, the second was fitness-affine but health unconcerned, the third cluster consists frugal eaters with a focus on medical prevention, and the fourth cluster are hedonists. No cluster focused its consumption on iron-enriched products, but instead all developed an individual mix of the three product groups.
Die Digitalisierung des Bodenbeprobungsverfahrens mit einer automatisierten Generierung einer Düngeempfehlung auf Grundlage der analysierten Bodennährstoffgehalte – direkt nach Beendigung der Bodenbeprobung auf dem Acker – ist ein übergeordnetes Ziel bei der Nutzung des mobilen Feldlabors „soil2data“. Neben den Bodennährstoffanalyse-Ergebnissen sind für die Umsetzung einer automatisierten generierten Düngeempfehlung weitere Informationen notwendig.
Die Quellen dieser Informationen haben einen unterschiedlichen Ursprung. Es sind Daten aus verschiedenen Quellen vom Bewirtschafter, von Dienstleistern und vom mobilen Feldlabor, welche miteinander verknüpft und synchronisiert werden müssen. Für einen automatisierten Prozessablauf zur Generierung einer Düngeempfehlung ist die Datenorganisation eine essenzielle Voraussetzung. Die Grundlage der Empfehlung sind die Tabellenwerke der offiziellen Düngeempfehlung, die bei den für die Düngung zuständigen Behörden der Bundesländer vorliegen. In dieser Publikation werden die notwendigen Daten und der Prozessdatenfluss für die Bodenbeprobung und Düngeempfehlung-Generierung beschrieben und grafisch dargestellt.
Zukünftige Nonprofit-Manager*innen sind mit komplexen Herausforderungen in einem sich stetig wandelnden Umfeld konfrontiert. Themen wie Klimaschutz, soziale Ungleichheit oder auch Demokratieförderung haben einen starken Einfluss auf die Arbeitsfelder der Nonprofit-Organisationen. Eine zentrale Aufgabe der Führungskräfte ist daher in dieser Komplexität konstruktiv agieren zu können. Dafür sind Kompetenzen erforderlich: Ganz zentral ist die Fähigkeit, sich initiativ und eigenverantwortlich mit den Herausforderungen unserer Zeit auseinanderzusetzen und im besten Fall geeignete Lösungen dafür zu finden sowie diese zielführend kommunizieren zu können. Aus diesem Grund wird genau diese Fähigkeit bei Studierenden aus den Masterstudiengängen Management in Nonprofit-Organisationen und Soziale Arbeit der Hochschule Osnabrück gefördert. Im Rahmen des Moduls Handlungsfelder II entwickelten rund 30 Studierende im Wintersemester 2022/2023 in einer Denkwerkstatt Forschungsergebnisse und Lösungsideen zum Thema „Osnabrück 2030 – Demokratie leben“. Die Studierenden wählten in einem partizipativen Prozess ihre eigenen Schwerpunktthemen wie zum Beispiel Mobilität oder Bildung aus und arbeiteten dann ein Semester lang an den Inhalten. Bei der Erarbeitung wurden sie durch Marlene Eimterbäumer begleitet, die Modelle, Methoden und Coaching zur Unterstützung bereit stellte. Die Modelle und Methoden finden sich teilweise in den Beiträgen der Studierenden wieder (unter anderem das Social Ecological Model und der Business Model Canvas). Am Ende des Semesters stand eine Präsentation vor den Kommiliton*innen, der Lehrenden und auch vor externen Gästen, die aus unterschiedlichen Expertisegebieten im Themenbereich „Demokratie“ kamen und dementsprechend Feedback aus der Praxis geben konnten. Das Modul selbst wurde von der Hochschule im Rahmen der Innovativen Lehre an der Fakultät Wirtschafts- und Sozialwissenschaften gefördert. Für die Studierenden stellte das Modul durchaus eine Herausforderung dar, denn in der Denkwerkstatt musste unter hoher Komplexität stark prozessbezogen gearbeitet werden im Gegensatz zu der sonstigen hohen Ergebnisorientierung. Die durchweg sehr guten Ergebnisse zeigen, dass der Einsatz und die kontinuierliche Kommunikation und Zusammenarbeit sich gelohnt haben. Aufgeteilt ist das vorliegende Buch in die fünf Themen: Wahlen, Partizipation, Partizipative Raumentwicklung, Politische Bildung und Medienkompetenz. Zu diesen Themen finden Sie jeweils erst einen Beitrag der Forscher*innen und darauffolgend einen Beitrag zur Darstellung einer Lösungsidee.
Um die Ausgaben der gesetzlichen Krankenversicherung in Deutschland zu senken, wurde mit dem GKV-Finanzstabilisierungsgesetz neben anderen Maßnahmen die Aufhebung der Neupatientenregelung zum Jahresbeginn 2023 durchgesetzt. In politischen Kreisen wurde die Aufhebung der Regelung unter Verweis auf einen erschwerten Patientenzugang im ambulanten Sektor teils deutlich kritisiert. Um zu überprüfen, wie es um die Bereitschaft zur Aufnahme von Neupatienten nach Aufhebung der Neupatientenregelung bestellt ist, wurden im Rahmen einer randomisierten empirischen Feldstudie im Zeitraum von März bis April 2023 insgesamt 180 niedersächsische Hausärzte angerufen. Dabei gab sich der Studienautor als zugezogener Neupatient aus, der auf der Suche nach einem neuen Hausarzt sei. Da im Vorfeld eine schlechte telefonische Erreichbarkeit erwartet worden war, wurden jeder Arztpraxis bis zu drei Anrufversuche gewährt. Es zeigte sich, dass gut zwei Drittel der erreichten Praxen zur Aufnahme eines Neupatienten bereit sind. Außerdem konnte festgestellt werden, dass ein hoher regionaler Versorgungsgrad mit einer schlechten telefonischen Erreichbarkeit der Arztpraxen in Verbindung steht. Bezüglich der Organisationsformen und der Anzahl an Ärzten je Praxis konnten keine signifikanten Korrelationen festgestellt werden. Montags war die telefonische Erreichbarkeit der Praxen deutlich geringer als mittwochs und freitags. Die vorliegende Bachelorarbeit beschreibt die für die Studiendurchführung relevanten Grundlagen der hausärztlichen Versorgung in Deutschland, begründet die verwendete Methodik und diskutiert die Studienergebnisse.
Hintergrund
Die Anämie hat eine hohe Prävalenz bei Patienten vor Hüftgelenkrevisionsoperation und ist mit einer erhöhten Komplikationsrate assoziiert. Die vorliegende Arbeit untersucht erstmals den Zusammenhang von Kosten, realen DRG-Erlösen und Falldeckung der präoperativen Anämie bei elektiven Hüftgelenkrevisionsoperationen.
Methoden
Für alle Patienten, die sich von 2010 bis 2017 an 2 Campi der Charité – Universitätsmedizin Berlin einer Hüftgelenkrevisionsoperation unterzogen, wurden Daten zu Patienten sowie Transfusionen, Kosten und Erlösen gesammelt. Subgruppen- und lineare Regressionsanalysen untersuchten die Falldeckung anämischer und nichtanämischer Patienten.
Ergebnisse
Von 1187 eingeschlossenen Patienten waren 354 (29,8 %) präoperativ anämisch. Insgesamt wurden 565 (47,6 %) Patienten, mit einem deutlichen Überwiegen anämischer Patienten (72,6 % vs. 37,0 %, p < 0,001), transfundiert. Kosten (12.318 € [9027;20.044 €] vs. 8948 € [7501;11.339 €], p < 0,001) und Erlöse (11.788 € [8992;16.298 €] vs. 9611 € [8332;10.719 €], p < 0,001) waren für anämische Patienten höher, die Fallkostendeckung defizitär (−1170 € [−4467;1238 €] vs. 591 € [−1441;2103 €] €, p < 0,001). Bei anämischen Patienten nahm die Falldeckung mit zunehmender Transfusionsrate ab (p ≤ 0,001). Komorbiditäten hatten keinen signifikanten ökonomischen Einfluss.
Schlussfolgerung
Die präoperative Anämie und perioperative Transfusionen bei Hüftgelenkrevisionsoperationen sind mit erhöhten Behandlungskosten und einer finanziellen Unterdeckung für Kostenträger im Gesundheitswesen verbunden. Konzepte zur Behandlung der präoperativen Anämie (z. B. Patient Blood Management) könnten mittelfristig Behandlungskosten senken.
Hintergrund
Die Anämie hat eine hohe Prävalenz bei Patienten vor Hüftgelenkrevisionsoperation und ist mit einer erhöhten Komplikationsrate assoziiert. Die vorliegende Arbeit untersucht erstmals den Zusammenhang von Kosten, realen DRG-Erlösen und Falldeckung der präoperativen Anämie bei elektiven Hüftgelenkrevisionsoperationen.
Methoden
Für alle Patienten, die sich von 2010 bis 2017 an 2 Campi der Charité – Universitätsmedizin Berlin einer Hüftgelenkrevisionsoperation unterzogen, wurden Daten zu Patienten sowie Transfusionen, Kosten und Erlösen gesammelt. Subgruppen- und lineare Regressionsanalysen untersuchten die Falldeckung anämischer und nichtanämischer Patienten.
Ergebnisse
Von 1187 eingeschlossenen Patienten waren 354 (29,8 %) präoperativ anämisch. Insgesamt wurden 565 (47,6 %) Patienten, mit einem deutlichen Überwiegen anämischer Patienten (72,6 % vs. 37,0 %, p < 0,001), transfundiert. Kosten (12.318 € [9027;20.044 €] vs. 8948 € [7501;11.339 €], p < 0,001) und Erlöse (11.788 € [8992;16.298 €] vs. 9611 € [8332;10.719 €], p < 0,001) waren für anämische Patienten höher, die Fallkostendeckung defizitär (−1170 € [−4467;1238 €] vs. 591 € [−1441;2103 €] €, p < 0,001). Bei anämischen Patienten nahm die Falldeckung mit zunehmender Transfusionsrate ab (p ≤ 0,001). Komorbiditäten hatten keinen signifikanten ökonomischen Einfluss.
Schlussfolgerung
Die präoperative Anämie und perioperative Transfusionen bei Hüftgelenkrevisionsoperationen sind mit erhöhten Behandlungskosten und einer finanziellen Unterdeckung für Kostenträger im Gesundheitswesen verbunden. Konzepte zur Behandlung der präoperativen Anämie (z. B. Patient Blood Management) könnten mittelfristig Behandlungskosten senken.
Bei langfristigen radikalen technologischen Veränderungen werden neue und etablierte Geschäftsmodelle oftmalig parallel ausgeübt. Proff und andere definieren Geschäftsmodelle als Kombination von fünf Wahlentscheidungen, die wiederum fünf Geschäftsmodellkomponenten abbilden. Die Entscheidung über die Ressourcenallokation ist eine dieser Entscheidungen. Bei langfristigen radikalen technologischen Veränderungen spielt diese Ressourcenallokation eine besondere Bedeutung, da etablierte und neue Geschäftsmodelle häufig um begrenzte liquide Mittel konkurrieren. Mit Blick auf organisationale Trägheit sowie den teilweise emergenten Charakter von Strategien sind bewusste, strategisch geprägte Geschäftsmodellentscheidungen gerade zu Beginn radikaler technologischer Veränderungen in der Unternehmenspraxis wahrscheinlich weniger bedeutend. Demgegenüber ist zu vermuten, dass die Prozesse der Unternehmen zur Auswahl von Innovationsprojekten die Entscheidungen zur Ressourcenallokation bei neuen und etablierten Geschäftsmodellen oftmals implizit bedingen. Die Entscheidungsgrundlage der Wahl von Innovationsprojekten bilden häufig Kapitalwertvergleiche. Solche einfachen Kapitalwertmethoden haben allerdings „the potential to severely undervalue a development project’s contribution to the firm”. Der Beitrag diskutiert daher verschiedene Alternativen zu einfachen Kapitalwertmethoden bezüglich ihrer Eignung zur Unterstützung der Ressourcenallokation bei radikalen technologischen Veränderungen.
DIGI4Teach - Handbook
(2023)
One of the important outputs of our DIGI4Teach consortium is this Handbook, which consists of two parts. Part A contains an analysis of the most important descriptive research results conducted within the DIGI4Teach Erasmus+ project regarding the use of digital technology in teaching economic disciplines in partner countries. Part B contains twelve case studies from different areas of economics and business (accounting, finance, marketing, tourism and trade) that were prepared using various digital tools and they can be freely used in classes or other forms of education.
The BBI is a first step toward putting biodiversity conservation into practice in the OHC context. The results are consistent with studies related to nutrition However, the results also show that there is room for improvement and that there are further areas to be addressed. It is also clear that commercial kitchens currently have only limited room for maneuver. If OHC is to become more biodiversity-friendly, greater transparency is needed in terms of origin labels and species/variety identifiers, and a wide range of options will also be required in terms of procurement. That being the case, it is essential to focus on the entire value chain. Furthermore, in addition to the initial recommendations, much more knowledge is required about the impacts of farming methods and heritage varieties and species, as well as about the use of fish, other marine animals and game meat. In principle, however, the BBI can already be implemented in commercial kitchens by identifying recipe optimizations that kitchens can feasibly implement, that align with their budgets, and that maintain acceptance among patrons. In addition, this approach has the potential to be integrated into the assessment framework of the NAHGAST calculator, making it readily accessible and free for OHC facilities to use. In the OHC context in particular, this could be leveraged to drive sustainable change in the food system.
The energy transition involves various challenges. One key aspect is the decentralization of power generation, which requires new actors. In order to integrate these into the system in the best possible way, there are various approaches e.g. in cooperation in citizens' initiatives or cooperatives (Dorniok, 2016).
Cooperation in general can enable the implementation of certain business models or can increase profitability by the exploitation of economies of scale (Skovsgaard & Jacobsen, 2017; Theurl, 2010). Synergy effects result from the utilization of know-how, different technologies or resources of the partners involved to complement the own competencies and services (Eggers & Engelbrecht, 2005; Sander, 2009). Cooperation exists in various industries and enable the participating companies to compensate their size-related resource deficits (Glaister & Buckley, 1996; Todeva & Knoke, 2005). This creates the opportunity to develop innovations, open up new markets, exploit newly created economies of scale and share costs and risks (Franco & Haase, 2015). In agriculture, cooperation in the form of cooperatives have been of essential importance for a long time, especially with the aim of exploiting synergy effects (Bareille et al., 2017). In the field of renewable energy development, cooperation in form of citizen cooperatives make a significant contribution to the participation of citizens in political, social and financial aspects of the energy transition (Huybrechts & Mertens, 2014). Energy cooperatives are frequently discussed as a potential actor in the energy transition and are increasingly being established to advance the common interests of stakeholders. For example, the joint operation of decentralized power generation plants can involve new actors in the energy transition through regional cooperation (Walk, 2014).
Existing biogas plants in Germany need new business models after the 20-year Renewable Energy Sources Act feed-in tariff expires. For continued operation, a business model innovation is needed, which can be realized based on the different technical utilization pathways. Cooperation can have a significant impact on the profitability of the different business models, especially by exploiting synergy effects (Karlsson et al., 2019). In addition, cooperation can help to ensure that existing plants continue to operate at all.
Currently, the most widespread use of biogas in Germany is in the coupled generation of electricity and heat. Additionally, there is the possibility of upgrading biogas to biomethane or biogenic hydrogen path (Mertins & Wawer, 2022).
Different options for cooperative business models that exist in the biogas utilization pathways are presented. The focus is on explaining the advantages of a joint approach compared to single-farm business models and identifying the relevant actors. Subsequently, drivers and barriers for the different cooperative business models are identified and classified based on 20 semi-structured interviews with plant operators in the administrative district of Osnabrück. The aim is to identify drivers and barriers for cooperative post-EEG operation. As a result, political instruments are to be found that make it possible to involve relevant actors and thus stimulate the best possible continued operation from the point of view of the energy system. The results are structured according to the PESTEL analysis. This assigns drivers and barriers to the categories political, economic, sociocultural, technological, ecological and legal (Kaufmann, 2021). The analysis of the interviews is supplemented and validated by a literature review.
Drivers and barriers for cooperative business models are manifold and can vary mainly depending on the plant and the operator.
Drivers
• Political
o Promotion of renewable energies: reduce dependence on fossil (Russian) fuels
• Economic
o Expectation of synergies (information sharing, shared risk, economies of scale)
o Planning security (fixed supply or purchase contracts)
o Access to new markets (not accessible by single-farm business models)
o Cost savings by sharing infrastructure, technology
o Positive return expectation
• Sociocultural
o Motivating, innovative environment
o Lowers barriers to participation in new markets
o Target-oriented partnerships
o Better use of capacities and strengths
o Strengthening regional value creation
• Technological
o Economies of scale (efficiency)
o Available, mature technology
o Storable, transportable gas
o Well-developed infrastructure
• Ecological
o Increase in plant efficiency
o Reduction of greenhouse gas emissions
o Promotion of the circular economy by utilization of organic waste and agricultural residues
o Improving soil quality (fermentation residues as fertilizer)
Barriers
• Political
o Competition to other renewable energies
• Economic
o Uncertainty about future development of energy markets
o Disagreements between the cooperation partners
o Lack of flexibility due to longer-term contractual obligations
o Allocation of profits
• Sociocultural
o Cooperation with current competitor
o Cultural differences and lack of trust
o Acceptance by the general public (e.g. overproduction of maize)
• Technological
o Different technology that is difficult to combine
o Data protection
• Ecological
o Competition for agricultural land
o Use of monocultures
o Emissions from plant
o Pollution from transport
• Legal
o Legal requirements and regulations
o Unfavorable regulatory environment, e.g. long permitting process
One finding is that uncertainty is a major barrier for plant operators. This includes uncertainty about regulatory frameworks and political requirements, as well as about the general development of the energy markets. In addition, social factors such as lack of reliability and disagreement about revenue sharing are a potential barrier. A key driver for the implementation of cooperative business models is the expectation of synergy effects. In addition, operators are driven by a positive expectation of returns and the responsibility for securing the energy supply in times of crisis.
The drivers identified can now be used to develop strategies to advance cooperative business models. In particular, synergy effects should be exploited so that operators can benefit from cooperation. The advantages can also be highlighted and communicated to increase acceptance among the general public. Another important step is to reduce the barriers discussed above. In order to reduce social barriers in particular, it may be advisable to include an external partner in the cooperation, such as a municipal utility that operates an upgrading plant and concludes purchase agreements with the individual partners. In addition, it would be politically expedient to provide the operators with a clear framework for the future in order to reduce uncertainties. As a further aspect, knowledge transfer on new technologies and markets should take place.
The present study aims to compare the effects of maternal and offspring treatment with 25-hydroxycholecalciferol (25-OHD3) and vitamin D3 on vitamin D status, mineral homoeostasis, bone metabolism and locomotion in the offspring. Either vitamin D3 (50 μg/kg diet) or 25-OHD3 (50 μg/kg diet) was supplemented to the gestation and lactation diets of 49 multiparous sows and/or to the diets of their growing offspring. Treatment of the sows did not affect plasma concentrations of 25-OHD3 of the offspring. Pigs fed 25-OHD3 had higher plasma concentrations of 25-OHD3 than pigs that received vitamin D3 during rearing and fattening. However, neither plasma concentrations of calcium, phosphate and bone markers during the observation period nor bone ash and bone mineral density at slaughter were clearly affected by the treatment. Maternal and offspring treatment with 25-OHD3 instead of vitamin D3 resulted in a slight reduction in the prevalence of leg swelling. In addition, more pigs walked with even steps and normal stride length. Further studies are needed to test whether the slight effects observed in the present experiment are reproducible and of relevance for animal health and welfare. In that case, the underlying mechanisms should be revealed in order to take advantage of potentially beneficial influences especially under certain feeding regimes.