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Hintergrund:
Feedback von Patienten über erlebte Versorgungsaspekte erfolgt auch in der Rehabilitation inzwischen zunehmend online, beispielsweise auf Bewertungsportalen. Daher soll untersucht werden, welche von Rehabilitanden auf der für Reha-Kliniken führenden Bewertungsplattform Klinikbewertungen.de veröffentlichten Versorgungsaspekte mit der Weiterempfehlung einer Rehaklinik und welche negativen Aspekte mit der Nicht-Weiterempfehlung assoziiert sind.
Methode:
Eingeschlossen wurden Reha-Kliniken der Rentenversicherung Bund und federführend von ihr belegte Kliniken. Mit einem Mixed-Methods-Ansatz wurden aus acht Reha-Indikationsgruppen nach Zufriedenheitsstufen stratifizierte freitextliche Erfahrungsberichte von Rehabilitanden inhaltsanalytisch ausgewertet. Der Zusammenhang zwischen positiven (negativen) Aussagen mit der (Nicht-)Weiterempfehlung wurde in der jeweiligen Reha-Indikationsgruppe untersucht.
Ergebnisse:
Die Inhaltsanalyse von 911 Erfahrungsberichten ergab 20 thematische Kategorien. Der von Rehabilitanden wahrgenommene "Reha-Erfolg" war am häufigsten mit der Weiterempfehlung bzw. Nicht-Weiterempfehlung signifikant assoziiert. In fünf QS-Vergleichsgruppen war das Thema "Verpflegung" assoziiert. In allen QS-Vergleichsgruppen war mindestens ein prozessorientiertes Rehabilitationsthema assoziiert: "Reha-Maßnahmen", "Reha-Plan und Reha-Ziele" und/oder "Diagnose bis Entlassung".
Diskussion und Schlussfolgerung:
Reha-Kliniken können auf Basis der vorgestellten Ergebnisse indikationsspezifisch die für die Klinik-Weiterempfehlung relevanten Versorgungsaspekte identifizieren. Die Einbeziehung von Online-Erfahrungsberichten schafft zusätzliche Erkenntnisse über die Gründe der (Un-)Zufriedenheit von Rehabilitanden. Potenziellen Rehabilitanden steht das Erfahrungswissen als niederschwellige Informationsquelle und Entscheidungshilfe zur Verfügung
Im Rahmen dieser Bachelorarbeit soll empirisch überprüft werden, welche Faktoren Einfluss auf die Glaubwürdigkeitszuschreibung von CSR-Kommunikation nehmen. Bei den untersuchten Faktoren handelt es sich um die Unternehmensreputation, die Motivattribution und das Fitting zwischen Unternehmenswerten und CSR-Maßnahmen.
Lack of knowledge regarding antibiotics use has been widely identified as a main reason for inappropriate antibiotics use which leads to antibiotic resistance phenomenon. This study aimed to evaluate the effects of pharmacist-initiated educational intervention on promoting appropriate use of antibiotics and reducing self-medication with antibiotics. A pre and post intervention study using two validated self-administered questionnaires was performed in Yogyakarta province. A-two hour session of course and case discussion was delivered as method of intervention. Pharmacy customers attended Gema Cermat program were invited conveniently to complete both of pre- and post-educational questionnaires. Descriptive presentation was conducted to show scores on questions. Knowledge scores were categorized as poor, adequate and high. Of 268 respondents, 34.22% respondents had poor level of knowledge before receiving educational intervention, but this number decreased into 12.21% after post-interventional phase. Another 28.23% respondents had adequate level of knowledge before and then elevated into 38.28% after receiving education about appropriate use of antibiotics. Pre-education, 37.43% participants had a high level of knowledge about antibiotics use and resistance, whereas after education the number became slightly higher (49.25%). A vast majority of respondents (75.24%) became more aware about appropriate antibiotics practice after receiving educational inter- vention. Overall, didactic educational intervention imposed higher knowledge and better practice regarding antibiotics use (p < 0.05). This study showed that using didactical education intervention towards antibiotics use and resistance can be an initial strategy that led to substantial improvement of appropriate antibiotics use. Further systemic interventions to educate people should be performed and evaluated in order to promote the appropriate use of antibiotics.
Objectives: Injury to major white matter pathways during language-area associated glioma surgery often leads to permanent loss of neurological function. The aim was to establish standardized tractography of language pathways as a predictor of language outcome in clinical neurosurgery.
Methods: We prospectively analyzed 50 surgical cases of patients with left perisylvian, diffuse gliomas. Standardized preoperative Diffusion-Tensor-Imaging (DTI)-based tractography of the 5 main language tracts (Arcuate Fasciculus [AF], Frontal Aslant Tract [FAT], Inferior Fronto-Occipital Fasciculus [IFOF], Inferior Longitudinal Fasciculus [ILF], Uncinate Fasciculus [UF]) and spatial analysis of tumor and tracts was performed. Postoperative imaging and the resulting resection map were analyzed for potential surgical injury of tracts. The language status was assessed preoperatively, postoperatively and after 3 months using the Aachen Aphasia Test and Berlin Aphasia Score. Correlation analyses, two-step cluster analysis and binary logistic regression were used to analyze associations of tractography results with language outcome after surgery.
Results: In 14 out of 50 patients (28%), new aphasic symptoms were detected 3 months after surgery. The preoperative infiltration of the AF was associated with functional worsening (cc = 0.314; p = 0.019). Cluster analysis of tract injury profiles revealed two areas particularly related to aphasia: the temporo-parieto-occipital junction (TPO; temporo-parietal AF, middle IFOF, middle ILF) and the temporal stem/peri-insular white matter (middle IFOF, anterior ILF, temporal UF, temporal AF). Injury to these areas (TPO: OR: 23.04; CI: 4.11 – 129.06; temporal stem: OR: 21.96; CI: 2.93 – 164.41) was associated with a higher-risk of persisting aphasia.
Conclusions: Tractography of language pathways can help to determine the individual aphasia risk profile presurgically. The TPO and temporal stem/peri-insular white matter were confirmed as functional nodes particularly sensitive to surgical injuries.
Methods for standard meta-analysis of diagnostic test accuracy studies are well established and understood. For the more complex case in which studies report test accuracy across multiple thresholds, several approaches have recently been proposed. These are based on similar ideas, but make different assumptions. In this article, we apply four different approaches to data from a recent systematic review in the area of nephrology and compare the results. The four approaches use: a linear mixed effects model, a Bayesian multinomial random effects model, a time-to-event model and a nonparametric model, respectively. In the case study data, the accuracy of neutrophil gelatinase-associated lipocalin for the diagnosis of acute kidney injury was assessed in different scenarios, with sensitivity and specificity estimates available for three thresholds in each primary study. All approaches led to plausible and mostly similar summary results. However, we found considerable differences in results for some scenarios, for example, differences in the area under the receiver operating characteristic curve (AUC) of up to 0.13. The Bayesian approach tended to lead to the highest values of the AUC, and the nonparametric approach tended to produce the lowest values across the different scenarios. Though we recommend using these approaches, our findings motivate the need for a simulation study to explore optimal choice of method in various scenarios.
As noted by Roman poet Virgil already more than 2,000 years ago: “The greatest wealth is health.”. Without health, there is no happiness, no peace, and no success according to the Reflections Recovery Center from Arizona, United States (USA, U.S.). The goal of the Healthy People 2020-project (HP2020), which is led by the Office of Disease Prevention and Health Promotion (ODPHP), was to “promote quality life, healthy development, and health behaviors across all life stages” among the U.S. population. HP2020 measures progress by using so-called Leading Health Indicators (LHI), reliable data sources, baseline values as well as targets for LHI-individual improvements for every measurable objective to be achieved by 2020 and each following decade. In the further course, these values were compared to student populations from the U.S., Germany, and Poland. The goal of this master's thesis was to obtain more data on international health, particularly among student populations. For the statistical analysis, data were obtained from an online survey that was distributed to students in at least one university in each of the three countries. In total, data from 380 students were analyzed in terms of HP2020 goal attainment. To determine if statistically significant differences were present, the z-test was used. The biggest differences emerged on the following topics: access to healthcare, environmental quality, obesity as well as reproductive and sexual health.
Das Stufenmodell „Komplexitätsstufen von aktivierenden Lernressourcen“ wurde von einem Projektteam der Fachhochschule Hannover für die Produktion von E-Learning Materialien entwickelt. Die Bachelorarbeit soll beantworten, ob das Modell in der Praxis anwendbar ist. Hierfür wird eine Analyse des Stufenmodells angestrebt.
Um die Anwendbarkeit zu überprüfen, wird das Stufenmodell mit Beispielen aus wissenschaftlichen Bibliotheken abgeglichen. Die Beispiele basieren auf Lernressourcen, die aus Bibliotheken entnommen werden, die mittels E-Learning Informationskompetenz vermitteln.
Für die Analyse werden die Angebote anhand der Parameter und der Lernziele des Stufenmodells kategorisiert. Um die Ergebnisse anwendbar zu machen, wird weiterhin ein Konzept für die Förderung von Informationskompetenz mit E-Learning Werkzeugen vorgeschlagen.
Die Analyse des Stufenmodells zeigt auf, dass das Modell eine gute Orientierung ist, um E-Learning Ressourcen zu kategorisieren. Der Parameter Komplexität eignet sich, um die Ressourcen umfassend abzubilden, da die meisten Beispiele in das Modell einsortiert werden
können. Der Schwachpunkt des Modells besteht jedoch darin, dass zu viele Parameter berücksichtigt werden, die sich gegenseitig ausschließen können.
Die Ergebnisse der Analyse werden abschließend zu einem Konzept für Bibliotheken zusammengefasst. Die Theorien der Didaktik, sowie das Schwellenkonzept der Association of College & Research Libraries dienen hierbei als Grundlage. Dies zeigt auf, dass Informationskompetenz mit E-Learning Werkzeugen vermittelt werden und das Stufenmodell als Instrument dienlich sein kann.
Background: Mobile text reminder (SMS) system is considered a viable strategy for targeting/facilitating healthy behavioural change including adherence to prescribed physical exercises (PE) and medication (antiretroviral therapy-ART) which should improve the quality of life (Qol) in people living with HIV/AIDS(PLWHA). Thus, the literature was appraised for evidence of SMS effectiveness in improving ART and PE adherence behaviours and QoL in PLWHA.
Methods: Eight databases–AMED, CINAHL, Cochrane Library, EMBASE, EMCARE, Ovid MEDLINE, PsycINFO, and PubMed-were searched up to December 2020, using the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) protocol.This review included only randomised control trials (RCTs) investigating the effectiveness of SMS in improving QoL or PE or ART adherence behaviour or a combination of these variables in PLWHA >18 years.
Two independent reviewers determined the eligibility of the studies. Data were extracted and the quality of the study was assessed with the Physiotherapy Evidence Database (PEDro) tool. The primary outcomes were ART and PE adherence behaviours while the secondary outcome was QoL.
Result: A pooled estimate of effect was not calculated due to the heterogeneity of methods and outcome measures.
Therefore, a narrative synthesis of ten studies that met the inclusion criteria (n = 1621 participants at study completion) comprising males/females, aged ≥ 18 years, was done. There was a significant improvement in ART adherence behaviour except in three underpowered studies. Only the SMS interventions that were developed using the Starks 3-steps Adherence model was associated with positive outcome. The only study that evaluated QoL was underpowered and reported no significant change while there were no RCTs on PE.
Conclusion: Effects of SMS intervention trends towards a significant improvement in ART adherence behaviour in PLWHA. It is plausible that SMS reminders developed using the broader framework of the interpersonal health behaviour theory(ies) may have positive outcome. Nevertheless, the observed heterogeneity in the methods/outcome measures warrants a cautious interpretation of the findings. There is a lack/paucity of RCTs and therefore no evidence in support of the effectiveness of SMS intervention in improving PE adherence and QoL.
In order to ensure validity in legal texts like contracts and case law, lawyers rely on standardised formulations that are written carefully but also represent a kind of code with a meaning and function known to all legal experts. Using directed (acyclic) graphs to represent standardized text fragments, we are able to capture variations concerning time specifications, slight rephrasings, names, places and also OCR errors. We show how we can find such text fragments by sentence clustering, pattern detection and clustering patterns. To test the proposed methods, we use two corpora of German contracts and court decisions, specially compiled for this purpose. However, the entire process for representing standardised text fragments is language-agnostic. We analyze and compare both corpora and give an quantitative and qualitative analysis of the text fragments found and present a number of examples from both corpora.