Self-monitoring accuracy does not increase throughout undergraduate medical education

Context: Accurate self-assessment of one's performace on a moment-by-moment basis (ie, accurate self-monitoring) is vital for the self-regulation of practising physicians and indeed for the effective regulation of self-directed learning during medical education. However, little is currently known about the functioning of self-monitoring and its co-development with medical knowledge across medical education. This study is the first to simultaneously investigate a number of relevant aspects and measures that have so far been studied separately: different measures of self-monitoring for a broad area of medical knowledge across 10 different performance levels. Methods: This study assessed the self-monitoring accuracy of medical students (n = 3145) across 10 semesters. Data collected during the administration of the formative Berlin Progress Test Medicine (PTM) were analysed. The PTM comprises 200 multiple-choice questions covering all major medical disciplines and organ systems. A self-report indicator (ie, confidence) and two behavioural indicators of self-monitoring accuracy (ie, response time and the likelihood of changing an initial answer to a correct rather than an incorrect item) were examined for their development over semesters. Results: Analyses of more than 390 000 observations (of approximately 250 students per semester) showed that confidence was higher for correctly than for incorrectly answered items and that 86% of items answered with high confidence were indeed correct. Response time and the likelihood of the initial answer being changed were higher when the initial answer was incorrect than when it was correct. Contrary to expectations, no differences in self-monitoring accuracy were observed across semesters. Conclusions: Convergent evidence from different measures of self-monitoring suggests that medical students self-monitor their knowledge on a question-by-question basis well, although not perfectly, and to the same degree as has been found in studies outside medicine. Despite large differences in performance, no variations in self-monitoring across semesters (with the exception of the first semester) were observed

Diagnostic error increases mortality and length of hospital stay in patients presenting through the emergency room

Background: Diagnostic errors occur frequently, especially in the emergency room. Estimates about the consequences of diagnostic error vary widely and little is known about the factors predicting error. Our objectives thus was to determine the rate of discrepancy between diagnoses at hospital admission and discharge in patients presenting through the emergency room, the discrepancies’ consequences, and factors predicting them. Methods: Prospective observational clinical study combined with a survey in a University-affiliated tertiary care hospital. Patients’ hospital discharge diagnosis was compared with the diagnosis at hospital admittance through the emergency room and classified as similar or discrepant according to a predefined scheme by two independent expert raters. Generalized linear mixed-effects models were used to estimate the effect of diagnostic discrepancy on mortality and length of hospital stay and to determine whether characteristics of patients, diagnosing physicians, and context predicted diagnostic discrepancy. Results: 755 consecutive patients (322 [42.7%] female; mean age 65.14 years) were included. The discharge diagnosis differed substantially from the admittance diagnosis in 12.3% of cases. Diagnostic discrepancy was associated with a longer hospital stay (mean 10.29 vs. 6.90 days; Cohen’s d 0.47; 95% confidence interval 0.26 to 0.70; P = 0.002) and increased patient mortality (8 (8.60%) vs. 25(3.78%); OR 2.40; 95% CI 1.05 to 5.5 P = 0.038). A factor available at admittance that predicted diagnostic discrepancy was the diagnosing physician’s assessment that the patient presented atypically for the diagnosis assigned (OR 3.04; 95% CI 1.33–6.96; P = 0.009). Conclusions: Diagnostic discrepancies are a relevant healthcare problem in patients admitted through the emergency room because they occur in every ninth patient and are associated with increased in-hospital mortality. Discrepancies are not readily predictable by fixed patient or physician characteristics; attention should focus on context

Virtual Reality for Pain Relief in the Emergency Room (VIPER) - a prospective, interventional feasibility study.

BACKGROUND Pain is one of the most common, yet challenging problems leading to emergency department (ED) presentation, despite the availability of a wide range of pharmacological therapies. Virtual reality (VR) simulations are well studied in a wide variety of clinical settings, including acute and chronic pain management, as well as anxiety disorders. However, studies in the busy environment of an adult ED are scarce. The aim of this study is to explore the feasibility and effectiveness of a VR simulation for pain and anxiety control in a convenience sample of adult ED patients presenting with traumatic and non-traumatic pain triaged 2-5 (i.e., urgent to non-urgent) with a pain rating of ≥ 3 on a numeric rating scale (NRS 0-10). METHODS Prospective within-subject, repeated measures interventional feasibility pilot study at a Swiss University ED. The intervention consisted of a virtual reality simulation in addition to usual care. Pain and anxiety levels were measured using a verbally administered numeric rating scale (NRS) before and after the intervention. Information on patient experience was collected using established rating scales. RESULTS Fifty-two patients were enrolled. The most common pain localisations were extremities (n = 15, 28.8%) and abdomen (n = 12, 23.1%). About one third of patients presented with trauma-associated pain (n = 16, 30.8%). Duration of pain was mainly acute ( 24 h) (n = 32, 61.5%). The majority of patients were triage category 3, i.e. semi-urgent (n = 48, 92.3%). Significant reduction in pain (NRS median pre-VR simulation 4.5 (IQR 3-7) vs. median post-VR simulation 3 (IQR 2-5), p < 0.001), and anxiety levels (NRS median pre-VR simulation 4 (IQR 2-5) vs. median post-VR simulation 2 (IQR 0-3), p < 0.001) was achieved, yielding moderate to large effect sizes (Cohen's d estimate for pain reduction = 0.59 (95% CI 0.19-0.98), for anxiety level on NRS = 0.75 (95% CI 0.34-1.15). With medium immersion and good tolerability of the VR simulation, user satisfaction was high. CONCLUSIONS Virtual reality analgesia for pain and anxiety reduction in the busy setting of an ED is feasible, effective, with high user satisfaction. Further randomized controlled studies are needed to better characterize its impact on pain perception and resource utilization

Development and usability testing of a fully immersive VR simulation for REBOA training.

BACKGROUND Resuscitative endovascular balloon occlusion of the aorta (REBOA) is a potentially life-saving procedure for bleeding trauma patients. Being a rare and complex procedure performed in extreme situations, repetitive training of REBOA teams is critical. Evidence-based guidelines on how to train REBOA are missing, although simulation-based training has been shown to be effective but can be costly and complex. We aimed to determine the feasibility and acceptance of REBOA training using a fully immersive virtual reality (VR) REBOA simulation, as well as assess the confidence in conducting the REBOA procedure before and after the training. METHODS Prospective feasibility pilot study of prehospital emergency physicians and paramedics in Bern, Switzerland, from November 2020 until March 2021. Baseline characteristics of trainees, prior training and experience in REBOA and with VR, variables of media use (usability: system usability scale, immersion/presence: Slater-Usoh-Steed, workload: NASA-TLX, user satisfaction: USEQ) as well as confidence prior and after VR training were accessed. RESULTS REBOA training in VR was found to be feasible without relevant VR-specific side-effects. Usability (SUS median 77.5, IQR 71.3-85) and sense of presence and immersion (Slater-Usoh-Steed median 4.8, IQR 3.8-5.5) were good, the workload without under-nor overstraining (NASA-TLX median 39, IQR 32.8-50.2) and user satisfaction high (USEQ median 26, IQR 23-29). Confidence of trainees in conducting REBOA increased significantly after training (p < 0.001). CONCLUSIONS Procedural training of the REBOA procedure in immersive virtual reality is possible with a good acceptance and high usability. REBOA VR training can be an important part of a training curriculum, with the virtual reality-specific advantages of a time- and instructor-independent learning

The effect of social media communication on consumer perceptions of brands

Researchers and brand managers have limited understanding of the effects social media communication has on how consumers perceive brands. We investigated 504 Facebook users in order to observe the impact of firm-created and user-generated social media communication on brand equity, brand attitude and purchase intention by using a standardized online survey throughout Poland. To test the conceptual model, we analyzed 60 brands across three different industries: non-alcoholic beverages, clothing and mobile network operators. When analyzing the data, we applied the structural equation modeling technique to both investigate the interplay of firm-created and user-generated social media communication and examine industry-specific differences. The results of the empirical studies showed that user-generated social media communication had a positive influence on both brand equity and brand attitude, whereas firm-created social media communication affected only brand attitude. Both brand equity and brand attitude were shown to have a positive influence on purchase intention. In addition, we assessed measurement invariance using a multi-group structural modeling equation. The findings revealed that the proposed measurement model was invariant across the researched industries. However, structural path differences were detected across the models

Mechanisms and Mediators of Inflammation: Potential Models for Skin Rejection and Targeted Therapy in Vascularized Composite Allotransplantation

Vascularized composite allotransplantation (VCA) is an effective treatment option for patients suffering from limb loss or severe disfigurement. However, postoperative courses of VCA recipients have been complicated by skin rejection, and long-term immunosuppression remains a necessity for allograft survival. To widen the scope of this quality-of-life improving procedure minimization of immunosuppression in order to limit risks and side effects is needed. In some aspects, the molecular mechanisms and dynamics of skin allograft rejection seem similar to inflammatory skin conditions. T cells are key players in skin rejection and are recruited to the skin via activation of adhesion molecules, cytokines, and chemokines. Blocking these molecules has not only shown success in the treatment of inflammatory dermatoses, but also prolonged graft survival in various models of solid organ transplantation. In addition to T cell recruitment, ectopic lymphoid structures within the allograft associated with chronic rejection in solid organ transplantation might contribute to the strong alloimmune response towards the skin. Selectively targeting the molecules involved offers exciting novel therapeutic options in the prevention and treatment of skin rejection after VCA

Insights from computational modeling in inflammation and acute rejection in limb transplantation

Acute skin rejection in vascularized composite allotransplantation (VCA) is the major obstacle for wider adoption in clinical practice. This study utilized computational modeling to identify biomarkers for diagnosis and targets for treatment of skin rejection. Protein levels of 14 inflammatory mediators in skin and muscle biopsies from syngeneic grafts [n = 10], allogeneic transplants without immunosuppression [n = 10] and allografts treated with tacrolimus [n = 10] were assessed by multiplexed analysis technology. Hierarchical Clustering Analysis, Principal Component Analysis, Random Forest Classification and Multinomial Logistic Regression models were used to segregate experimental groups. Based on Random Forest Classification, Multinomial Logistic Regression and Hierarchical Clustering Analysis models, IL-4, TNF-α and IL-12p70 were the best predictors of skin rejection and identified rejection well in advance of histopathological alterations. TNF-α and IL-12p70 were the best predictors of muscle rejection and also preceded histopathological alterations. Principal Component Analysis identified IL-1α, IL-18, IL-1β, and IL-4 as principal drivers of transplant rejection. Thus, inflammatory patterns associated with rejection are specific for the individual tissue and may be superior for early detection and targeted treatment of rejection. © 2014 Wolfram et al

Urbane Resilienz gegenüber extremen Wetterereignissen: Gemeinsamer Verbundabschlussbericht des Forschungsprojektes ExTrass

Das Projekt ExTrass hatte zwei Ziele: Das erste Ziel war es, Klimaresilienz in den drei Fallstudienstädten Potsdam, Remscheid und Würzburg messbar zu stärken. Das zweite Ziel war es, Transferpotenziale zwischen Groß- und Mittelstädten in Deutschland zu identifizieren und besser nutzbar zu machen, sodass die Wirkung von Pilotvorhaben über die direkt involvierten Städte hinausgehen kann. Dies sollte in enger Zusammenarbeit mit den Stadtverwaltungen sowie zivilgesellschaftlichen Akteur:innen des Katastrophenschutzes erfolgen. Dabei standen folgende Leitfragen im Fokus: • Wie verbreitet sind Klimaanpassungsaktivitäten in Großstädten und größeren kreisfreien Mittelstädten in Deutschland? • Welche hemmenden und begünstigenden Faktoren beeinflussen die Klimaanpassung? • Welche Maßnahmen der Klimaanpassung werden tatsächlich umgesetzt, und wie kann die Umsetzung verbessert werden? Was behindert? • Inwiefern lassen sich Beispiele guter Praxis auf andere Städte übertragen, adaptieren oder weiterentwickeln

Identification of regulatory variants associated with genetic susceptibility to meningococcal disease

Non-coding genetic variants play an important role in driving susceptibility to complex diseases but their characterization remains challenging. Here, we employed a novel approach to interrogate the genetic risk of such polymorphisms in a more systematic way by targeting specific regulatory regions relevant for the phenotype studied. We applied this method to meningococcal disease susceptibility, using the DNA binding pattern of RELA - a NF-kB subunit, master regulator of the response to infection - under bacterial stimuli in nasopharyngeal epithelial cells. We designed a custom panel to cover these RELA binding sites and used it for targeted sequencing in cases and controls. Variant calling and association analysis were performed followed by validation of candidate polymorphisms by genotyping in three independent cohorts. We identified two new polymorphisms, rs4823231 and rs11913168, showing signs of association with meningococcal disease susceptibility. In addition, using our genomic data as well as publicly available resources, we found evidences for these SNPs to have potential regulatory effects on ATXN10 and LIF genes respectively. The variants and related candidate genes are relevant for infectious diseases and may have important contribution for meningococcal disease pathology. Finally, we described a novel genetic association approach that could be applied to other phenotypes

Identification of regulatory variants associated with genetic susceptibility to meningococcal disease.

Non-coding genetic variants play an important role in driving susceptibility to complex diseases but their characterization remains challenging. Here, we employed a novel approach to interrogate the genetic risk of such polymorphisms in a more systematic way by targeting specific regulatory regions relevant for the phenotype studied. We applied this method to meningococcal disease susceptibility, using the DNA binding pattern of RELA - a NF-kB subunit, master regulator of the response to infection - under bacterial stimuli in nasopharyngeal epithelial cells. We designed a custom panel to cover these RELA binding sites and used it for targeted sequencing in cases and controls. Variant calling and association analysis were performed followed by validation of candidate polymorphisms by genotyping in three independent cohorts. We identified two new polymorphisms, rs4823231 and rs11913168, showing signs of association with meningococcal disease susceptibility. In addition, using our genomic data as well as publicly available resources, we found evidences for these SNPs to have potential regulatory effects on ATXN10 and LIF genes respectively. The variants and related candidate genes are relevant for infectious diseases and may have important contribution for meningococcal disease pathology. Finally, we described a novel genetic association approach that could be applied to other phenotypes