Refine
Year of publication
Document Type
- Article (394)
- Conference Proceeding (223)
- Part of a Book (46)
- Book (31)
- Moving Images (26)
- Working Paper (18)
- Other (10)
- Doctoral Thesis (2)
- Master's Thesis (2)
- Bachelor Thesis (1)
Language
- English (756) (remove)
Keywords
- Sustainability (6)
- physiotherapy (6)
- Nutritional footprint (5)
- Danube (4)
- Electroporation (4)
- Lemnaceae (4)
- PEF (4)
- Public Health (4)
- Sustainable nutrition (4)
- Ultrasound (4)
Institute
- Fakultät WiSo (368)
- Fakultät AuL (270)
- Fakultät IuI (58)
- Institut für Management und Technik (30)
- Institut für Duale Studiengänge (23)
- Institut für Kommunikationsmanagement (4)
- Fakultät MKT (2)
- Institut für Musik (1)
- Präsidium Hochschule Osnabrück (1)
Clinically Significant Differences in Acute Pain Measured on Self-report Pain Scales in Children
(2015)
Objectives
The objective was to determine the minimum and ideal clinically significant differences (MCSD, ICSD) in pain intensity in children for the Faces Pain Scale–Revised (FPS-R) and the Color Analog Scale (CAS) and to identify any differences in these estimates based on patient characteristics.
Methods
This was a prospective study of children aged 4 to 17 years with acute pain presenting to two urban pediatric emergency departments. Participants self-reported their pain intensity using the FPS−R and CAS and qualitatively described their changes in pain. Changes in pain score reported using the FPS-R and CAS that were associated with “a little less” and “much less” pain (MCSD and ICSD, respectively) were identified using a receiver operating characteristic–based method and expressed as raw change score and percent reductions. Estimates of MCSD and ICSD were determined for each category of initial pain intensity (mild, moderate, and severe) and patient characteristics (age, sex, and ethnicity). Post hoc exploratory analyses evaluated categories of race, primary language, and etiology of pain.
Results
A total of 314 children with acute pain were enrolled; mean (±SD) age was 9.8 (±3.8) years. The FPS-R raw change score and percent reduction MCSD estimates were 2/10 and 25%, with ICSD estimates of 3/10 and 60%. For the CAS, raw change score and percent reduction MCSD estimates were 1/10 and 15%, with ICSD estimates of 2.75/10 and 52%. For both scales, raw change score and percent reduction estimates of the MCSD remained unchanged in children with either moderate or severe pain. For both scales, estimates of ICSD were not stable across categories of initial pain intensity. There was no difference in MCSD or ICSD based on age, sex, ethnicity, race, primary language, or etiology of pain.
Conclusions
The MCSD estimates can be expressed as raw change score and percent reductions for the FPS-R and CAS. These estimates appear stable for children with moderate to severe pain, irrespective of age, sex, and ethnicity. Estimates of ICSD were not stable across different categories of initial pain intensity, therefore limiting their potential generalizability.
The current narrative literature review aims to discuss clinical reasoning based on nociceptive pain mechanisms for determining the most appropriate assessment and therapeutic strategy and to identify/map the most updated scientific evidence in relation to physical therapy interventions for patients with temporomandibular disorders (TMDs). We will also propose an algorithm for clinical examination and treatment decisions and a pain model integrating current knowledge of pain neuroscience. The clinical examination of patients with TMDs should be based on nociceptive mechanisms and include the potential identification of the dominant, central, or peripheral sensitization driver. Additionally, the musculoskeletal drivers of these sensitization processes should be assessed with the aim of reproducing symptoms. Therapeutic strategies applied for managing TMDs can be grouped into tissue-based impairment treatments (bottom-up interventions) and strategies targeting the central nervous system (top-down interventions). Bottom-up strategies include joint-, soft tissue-, and nerve-targeting interventions, as well as needling therapies, whereas top-down strategies include exercises, grade motor imagery, and also pain neuroscience education. Evidence shows that the effectiveness of these interventions depends on the clinical reasoning applied, since not all strategies are equally effective for the different TMD subgroups. In fact, the presence or absence of a central sensitization driver could lead to different treatment outcomes. It seems that multimodal approaches are more effective and should be applied in patients with TMDs. The current paper also proposes a clinical decision algorithm integrating clinical diagnosis with nociceptive mechanisms for the application of the most appropriate treatment approach.
Objective: The more people there are who use clinical information systems (CIS) beyond their traditional intramural confines, the more promising the benefits are, and the more daunting the risks will be. This review thus explores the areas of ethical debates prompted by CIS conceptualized as smart systems reaching out to patients and citizens. Furthermore, it investigates the ethical competencies and education needed to use these systems appropriately.
Methods: A literature review covering ethics topics in combination with clinical and health information systems, clinical decision support, health information exchange, and various mobile devices and media was performed searching the MEDLINE database for articles from 2016 to 2019 with a focus on 2018 and 2019. A second search combined these keywords with education.
Results: By far, most of the discourses were dominated by privacy, confidentiality, and informed consent issues. Intertwined with confidentiality and clear boundaries, the provider-patient relationship has gained much attention. The opacity of algorithms and the lack of explicability of the results pose a further challenge. The necessity of sociotechnical ethics education was underpinned in many studies including advocating education for providers and patients alike. However, only a few publications expanded on ethical competencies. In the publications found, empirical research designs were employed to capture the stakeholders’ attitudes, but not to evaluate specific implementations.
Conclusion: Despite the broad discourses, ethical values have not yet found their firm place in empirically rigorous health technology evaluation studies. Similarly, sociotechnical ethics competencies obviously need detailed specifications. These two gaps set the stage for further research at the junction of clinical information systems and ethics.
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
Rationale:
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.
Purpose:
To show the advantages of implementing EMG in performing artists´ health and to demonstrate additional therapy and diagnostic options.
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
Content of Presentation:
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.
Land cover change is a dynamic phenomenon driven by synergetic biophysical and socioeconomic effects. It involves massive transitions from natural to less natural habitats and thereby threatens ecosystems and the services they provide. To retain intact ecosystems and reduce land cover change to a minimum of natural transition processes, a dense network of protected areas has been established across Europe. However, even protected areas and in particular the zones around protected areas have been shown to undergo land cover changes. The aim of our study was to compare land cover changes in protected areas, non-protected areas, and 1 km buffer zones around protected areas and analyse their relationship to climatic and socioeconomic factors across Europe between 2000 and 2012 based on earth observation data. We investigated land cover flows describing major change processes: urbanisation, afforestation, deforestation, intensification of agriculture, extensification of agriculture, and formation of water bodies. Based on boosted regression trees, we modelled correlations between land cover flows and climatic and socioeconomic factors. The results show that land cover changes were most frequent in 1 km buffer zones around protected areas (3.0% of all buffer areas affected). Overall, land cover changes within protected areas were less frequent than outside, although they still amounted to 18,800 km2 (1.5% of all protected areas) from 2000 to 2012. In some parts of Europe, urbanisation and intensification of agriculture still accounted for up to 25% of land cover changes within protected areas. Modelling revealed meaningful relationships between land cover changes and a combination of influencing factors. Demographic factors (accessibility to cities and population density) were most important for coarse-scale patterns of land cover changes, whereas fine-scale patterns were most related to longitude (representing the general east/west economic gradient) and latitude (representing the north/south climatic gradient).
Our world and our lives are changing in many ways. Communication, networking, and computing technologies are among the most influential enablers that shape our lives today. Digital data and connected worlds of physical objects, people, and devices are rapidly changing the way we work, travel, socialize, and interact with our surroundings, and they have a profound impact on different domains,such as healthcare, environmental monitoring, urban systems, and control and management applications, among several other areas. Cities currently face an increasing demand for providing services that can have an impact on people’s everyday lives. The CityPulse framework supports smart city service creation by means of a distributed system for semantic discovery, data analytics, and interpretation of large-scale (near-)real-time Internet of Things data and social media data streams. To goal is to break away from silo
applications and enable cross-domain data integration. The CityPulse framework integrates multimodal, mixed quality, uncertain and incomplete data to create reliable, dependable information and continuously adapts data processing techniques to meet the quality of information requirements from end users. Different than existing solutions that mainly offer unified views of the data, the CityPulse framework is also equipped with powerful data analytics modules that perform intelligent data aggregation, event detection, quality
assessment, contextual filtering, and decision support. This paper presents the framework, describes ist components, and demonstrates how they interact to support easy development of custom-made applications for citizens. The benefits and the effectiveness of the framework are demonstrated in a use-case scenario
implementation presented in this paper.
Model-derived relationships between chlorophyll a (Chl-a) and nutrients and temperature have fundamental implications for understanding complex interactions among water quality measures used for lake classification, yet accuracy comparisons of different approaches are scarce. Here, we (1) compared Chl-a model performances across linear and nonlinear statistical approaches; (2) evaluated single and combined effects of nutrients, depth, and temperature as lake surface water temperature (LSWT) or altitude on Chl-a; and (3) investigated the reliability of the best water quality model across 13 lakes from perialpine and central Balkan mountain regions. Chl-a was modelled using in situ water quality data from 157 European lakes; elevation data and LSWT in situ data were complemented by remote sensing measurements. Nonlinear approaches performed better, implying complex relationships between Chl-a and the explanatory variables. Boosted regression trees, as the best performing approach, accommodated interactions among predictor variables. Chl-a–nutrient relationships were characterized by sigmoidal curves, with total phosphorus having the largest explanatory power for our study region. In comparison with LSWT, utilization of altitude, the often-used temperature surrogate, led to different influence directions but similar predictive performances. These results support utilizing altitude in models for Chl-a predictions. Compared to Chl-a observations, Chl-a predictions of the best performing approach for mountain lakes (oligotrophic–eutrophic) led to minor differences in trophic state categorizations. Our findings suggest that both models with LSWT and altitude are appropriate for water quality predictions of lakes in mountain regions and emphasize the importance of incorporating interactions among variables when facing lake management challenges.
Germany is Europe’s most populated country and it is actual locomotive for growth. The Germans have a positive image in China. However, this appreciation is not mutual. Various polls indicate that Germans are reserved concerning China’s rise; some even dislike outward foreign direct investment (OFDI) from Chinese Companies flowing to Germany. Nevertheless, Chinese investments in Germany will accelerate in the near future; already it increased from 600 million € 2 years ago to more than 800 million €. Experts predict a further massive increase. Asian OFDIs in Europe will be an integral part of the Asian Century, transforming the host countries, just as western OFDIs changed Asia during the last decades. This article analyses the German “China readiness” in the field of public economic policy at a local level.