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background: Musculoskeletal problems (MP) are widespread in performing artists and are due to the special demands of instrument playing, singing or dancing. Additionally, various other factors might contribute to performance-related MP. To provide a specific physiotherapeutic management for performing artists it is important to gain information about the performing art, the individual demands and contributing factors. The subjective examination (SE) is the basis of the clinical reasoning process and the hypothesis forming for further clinical examination and biomechanical analysis. In the present protocol, the SE consists of a questionnaire-based section and an interview-based section and is part of the evaluation process of the neuromusculoskeletal examination of a performing artist specific reference laboratory.
purpose: To develop a standardized SE protocol divided into a questionnaire-based section (Part 1) via web application and an interview-based SE (Part 2) to address MP of performing artists.
methods: The questionnaires for part 1 were selected based on the expertise of the research group and the psychometric properties of each possible questionnaire. A common physiotherapeutic recording of findings which addresses the relevant questions of the SE of MP was used. To adapt the anamnesis to performing-associated MP questions specific to instrument playing, singing and dancing were selected on the basis of a literature search and the expertise of the research group.
summary of content/results: Part 1 consists of three topics. (1) information about the performing art, professional level and sociodemographic data, (2) information about pain and pain processing, and (3) the anatomical location of the main MP including a body region-specific questionnaire. Part 2 is based on the five aspects of clinical practice described by Maitland and the Musculoskeletal Clinical Translation Framework by Mitchell et al. The performing arts specific part is particularly focused on performing art specific considerations, physical and psychosocial contributing factors and art-specific activities.
significance: This standardized SE protocol should help clinicians evaluating the musculoskeletal health of performing artists in a standardized and specific way.
Background: Musculoskeletal problems (MP) are widespread in performing artists and are due to the special demands of instrument playing, singing or dancing. In order to specifically evaluate these problems, a reference laboratory is under development. The evaluation covers 4 steps: a subjective examination (SE) including (1) a questionnaire-based online survey and (2) an interview-based anamnesis. On the basis of the results of the SE, hypotheses are formed for (3) an individual musculoskeletal clinical examination and a (4) biomechanical analysis. Here, the focus is on the clinical examination.
Purpose: to develop a standardized protocol for a clinical examination addressing especially musculoskeletal problems in performing artists.
Methods: A common physiotherapeutic clinical examination should be supplemented with techniques, which are specific to performance-related musculoskeletal problems and/or their risk factors. The development was based on a literature search and the clinical expertise of the physiotherapeutic research group.
Summary of content/Results: The performing arts specific clinical examination includes the common analysis of posture as well as passive/active movement capacities and specific differentiating tests in relation to the signs and symptoms of the individual artist. The examination is supplemented by a functional demonstration focusing on the special demands of playing the respective instrument, while singing or dancing. Common overuse risk factors like hypermobility, special anthropometric data or an examination of the motor control of different body regions are addressed. Optional, the various parts of the examination process could be skipped, if not relevant for the individual artist.
Significance: This clinical examination protocol should help clinicians evaluating the musculoskeletal health of performing artists in a standardized and specific way.
Communication deficits belong to the most frequent errors in patient handovers calling upon specialized training approaches to be implemented. This study aims to harness problem-based learning (PBL) methods in handover education and evaluated the learning process. A digitally enabled PBL course was developed and implemented at Klinikum Osnabrück from which eight nurses participated in the course. They agreed on the stimulating effect of the setting regarding self-directed learning and on the potential to translate the new knowledge and skills into the daily clinical practice. In conclusion, the findings are promising that a digitally enabled PBL course is a suitable learning format for handover education.
The Corona pandemic confronted societies with several unexpected constraints that had the effect of making certain goods much scarcer than before. Withdrawal from Russian oil and gas supplies has a similar effect. Carbon abatement can also be seen as a deliberate choice to make certain goods scarc-er than they actually are. These parallels suggests that it may be worthwhile to take a close look at societies’ responses to all three challenges. This paper makes an attempt to synthetize empirical and theoretical insights regarding these scarcity shocks from a well-being perspective, i.e. replacing the prevalent welfare economic focus on production and consumption with a focus on sustainable well-being.
Taking the case of Germany, it will be argued that the observed responses to all three challenges reflect a focus on maintaining incomes and production and that therefore these responses risk being detrimental to sustainable wellbeing and even to economic stability. This is particularly relevant if carbon abatement requires not only transient material sacrifices but lasting and significant reduc-tions of consumption.
It will be argued that the impact of these new scarcities will be much less problematic in a society that acknowledges the priority of sustainable wellbeing over production and consumption measures. Such a society would still need to incur material sacrifices, but these need not translate into a loss of wellbeing if economic conditions and social norms adapt. This will also be more sustainable not only in terms of ecological impact, but also in terms of debt, inflation and inequality.
This study describes the eHealth4all@eu course development pipeline that builds upon the TIGER educational recommendations and allows a systematic development grounded on scientific and field requirements of competencies, a case/problem-based pedagogical approach and finally results in the syllabus and the course content. The pipeline is exemplified by the course Learning Healthcare in Action: Clinical Data Analytics.
The diabetic foot ulcer, which 2% – 6% of diabetes patients experience, is a severe health threat. It is closely linked to the risk of lower extremity amputation (LEA). When a DFU is present, the chief imperative is to initiate tertiary preventive actions to avoid amputation. In this light, clinical decision support systems (CDSS) can guide clinicians to identify DFU patients early. In this study, the PEDIS classification and a Bayesian logistic regression model are utilised to develop and evaluate a decision method for patient stratification. Therefore, we conducted a Bayesian cutpoint analysis. The CDSS revealed an optimal cutpoint for the amputation risk of 0.28. Sensitivity and specificity were 0.83 and 0.66. These results show that although the specificity is low, the decision method includes most actual patients at risk, which is a desirable feature in monitoring patients at risk for major amputation. This study shows that the PEDIS classification promises to provide a valid basis for a DFU risk stratification in CDSS.
Diabetic foot ulcer (DFU) is a chronic wound and a common diabetic complication as 2% – 6% of diabetic patients witness the onset thereof. The DFU can lead to severe health threats such as infection and lower leg amputations, Coordination of interdisciplinary wound care requires well-written but time-consuming wound documentation. Artificial intelligence (AI) systems lend themselves to be tested to extract information from wound images, e.g. maceration, to fill the wound documentation. A convolutional neural network was therefore trained on 326 augmented DFU images to distinguish macerated from unmacerated wounds. The system was validated on 108 unaugmented images. The classification system achieved a recall of 0.69 and a precision of 0.67. The overall accuracy was 0.69. The results show that AI systems can classify DFU images for macerations and that those systems could support clinicians with data entry. However, the validation statistics should be further improved for use in real clinical settings. In summary, this paper can contribute to the development of methods to automatic wound documentation.
Venous leg ulcers and diabetic foot ulcers are the most common chronic wounds. Their prevalence has been increasing significantly over the last years, consuming scarce care resources. This study aimed to explore the performance of detection and classification algorithms for these types of wounds in images. To this end, algorithms of the YoloV5 family of pre-trained models were applied to 885 images containing at least one of the two wound types. The YoloV5m6 model provided the highest precision (0.942) and a high recall value (0.837). Its mAP_0.5:0.95 was 0.642. While the latter value is comparable to the ones reported in the literature, precision and recall were considerably higher. In conclusion, our results on good wound detection and classification may reveal a path towards (semi-) automated entry of wound information in patient records. To strengthen the trust of clinicians, we are currently incorporating a dashboard where clinicians can check the validity of the predictions against their expertise.
Studien indizieren, dass die Generation Z, die sogenannten „Digital Natives“, einen leichten Zugang zu Informations- und Kommunikationstechnologien (IKT) hat. Zugleich attribuieren sich die Individuen dieser Generation auch selbst eine hohe IKT-Affinität. Diese Kombination legt gewisse Lehrmethoden (wie Selbststudium oder Projektarbeit) im Rahmen der Hochschullehre auch für ERP-Systeme nahe. An diesem Punkt setzt dieser Beitrag an und zeigt in einem Experiment anhand von zwei SAP-Lernumgebungen mit vier Studierendengruppen, dass die unreflektierte und implizite Annahme der hohen IKT-Affinität recht trügerisch und kontraproduktiv für die Lehre ist. Von Studierenden selbst gewählte Lernmethoden haben dabei das Nachsehen. Damit einhergehend führen mehrdimensionale Lehrmethoden zu messbar höheren Lernerfolgen. Theoretisch begleitet wird diese Arbeit vom Technology Acceptance Model (TAM).
Pandemie, Nachfrageschocks und Krieg können Unternehmen an den Rand Ihrer Überlebensfähigkeit treiben. Eine Stärkung der Resilienz und der Nachhaltigkeit ist nachweislich durch Digitalisierung möglich. Aber welche Aspekte der Digitalisierung sind für die unternehmerische Resilienz besonders relevant und werden in der Praxis zielorientiert verfolgt? Diese Arbeit nutzt einen Multimethodenansatz, bestehend aus einem systematischen Literaturreview sowie aus semi-strukturierten Experteninterviews, um die obigen Fragen zu adressieren. Die Ergebnisse indizieren, dass aktuell die drei Themenfelder Dynamic Pricing, Process Mining und Self-Service Reporting/BI besonderen Fokus genießen. Andere Themenfelder hingegen, wie Neurale Netze, Blockchain Technologie, Gamification oder Text Mining werden in der Literatur zwar intensiv diskutiert, finden in der Praxis allerdings nach wie vor selten Einzug.