Yoxas/statistical_literacy huggingface dataset:
A minor difference in college entrance examination scores can result in vastly different educational resources in China, so it has been debated whether it is the difference in the student population or the difference in educational resources that causes the difference in medical graduates. We aimed to evaluate the effects of entry grades on students' academic performance under homogeneous educational resources. Students in grade 2016 with 13-point difference in the average admission scores of 2 medicine schools in Sun Yat-sen University were educated in mixed classes and were taught with the same educators during the 5 years of undergraduate period. The grades, graduation, and postgraduate enrollment rates of the students were compared between the two campuses. The average admission scores for Shenzhen Campus (SZC) students are 13 points lower than those of Guangzhou North Campus (GZNC) (613 points vs 626 points). After 5 years of homogeneous education, comparing the GZNC students with the SZC students, there were no significant differences in the average total score (80.2 ± 4.6 vs 80.0 ± 5.6, P = 0.691), the average compulsory course (78.9 ± 3.4 vs 78.4 ± 6.1, P = 0.438), the average core course score (78.8 ± 7.4 vs 78.7 ± 5.0, P=0.860) and the average clerkship score (85.1 ± 7.2 vs 84.6 ± 2.7, P=0.275). However, the completion rate for SZC was higher than for GZNC (93.94% vs 86.27%, P=0.009). There was no statistical difference in postgraduate enrolment between the two institutions (P=0.758). Given the same educational resources, more medical students with lower entrance scores completed their studies and achieved the same percentage of postgraduate acceptance. This finding suggests that a key component of improving the quality of medical higher education in China may be to further rationalize the allocation of high-quality educational resources, rather than to pursuing students with high entrance examination scores.
A minority of European countries have compulsory training in palliative care within all medical schools. The aim of the study was to examine palliative care education in Estonia. We used the adapted version of the Palliative Education Assessment Tool (PEAT) to evaluate palliative care education at the University of Tartu, the only medical school in Estonia. The PEAT comprises of different palliative care domains and allows for assessing the curricula for palliative care education. 26 hours (h) of palliative care is taught within the basic medical curriculum, which is divided between 14 courses. Ethical issues (4 h, lecture and seminar) and basics of palliative care (2.5 h, lecture) are well covered however, pain and symptom management (12.5 h, lecture, seminar, workshop), psychosocial, spiritual aspects (5.5 h, seminar), and communication (1.5 h, lecture) teaching do not reach the recommended number of hours. Teamwork and self-reflection are not taught at all. Increased time, more diverse teaching strategies and clear learning outcomes are required to enable the development of palliative care education in Estonia. The teaching and learning of palliative care is a process that requires constant development and collaboration.
A mixed-methods study was performed to investigate the perceived importance and efficacy of teaching clinical reasoning (CR) skills among students and faculty in a university first-opinion veterinary practice, as this has not previously been described. Qualitative analysis of interview data, discussing objectives and factors considered important for effective learning and the understanding of CR, was performed alongside quantitative analysis of the Preceptor Thinking-Promotion Scale (PTPS) and the Learner Thinking-Behavior Scale (LTBS) (assessing the level of CR encouraged by clinicians and displayed by students) in peri-consultation discussions. Themes that emerged from analysis of the interviews regarding objectives included the desire to develop data acquisition and the need to improve data manipulation and CR. Themes associated with effective learning were a positive student-centered learning environment and feedback. Type II CR was fairly well described, but recognition of the importance of type I CR was poor among clinicians and students and, in some instances, was deemed to be inappropriate. Although many clinicians and students expressed a desire to develop student CR, there was little evidence of this actually occurring in the interactions analyzed, with low PTPS and LTBS scores achieved. There was also poor understanding of whether effective teaching of CR had occurred, demonstrated by a lack of correlation between LTBS and the interaction score for development of student CR. Further training of clinicians and students of the value of type I CR in first-opinion practice is required, as well as clinician education in how best to support the development of CR in students.
A multidisciplinary clinical-psychological-neurophysiological study has been performed in 28 depressive patients (females, aged 18-56) and 50 healthy volunteers (females, aged 18-55) in order to analyze the relationships between the impairments of neurocognitive mechanisms of decision-making based on logics and considerations or on emotional experience (emotional learning) in uncertain situation and clinical and neurophysiological signs of depression. The severity of depression was assessed quantitatively using Hamilton's Depression Rating Scale (HDRS-17). Tests "10 words", Wisconsin Card Sorting Test (WCST), and Iowa Gambling Task (IGT) were used for quantitative assessment of cognitive functions. Multichannel resting EEG was recorded in all depressive patients in order to assess the brain functional state. Neurocognitive deficit was observed in all the patients; its pronounce correlated positively with the severity of depression. The ability to make decisions based on both logic and considerations (in WCST), which is associated with EEG signs of hypofrontality, and on emotional learning (in IGT) was impaired. Only in depressive patients reduced ability to make rational decisions based on logics and considerations resulttd in a compensatory shift towards decision-making based on emotions, which led to relatively higher results of emotional learning. The data suggests that hypofrontality causes difficulties in making decisions that requires logical reasoning and the disinhibition of subcortical (including hippocampal) brain structures, the activation of which provides better results of emotional learning.
A multitude of factors are considered in an infectious disease (ID) training program's meticulous selection process of ID fellows but their correlation to pre and in-fellowship academic success as well as post-fellowship academic success and short-term outcomes is poorly understood. Our goal was to investigate factors associated with subsequent academic success in fellowship as well as post-fellowship short-term outcomes. In 2022, we retrospectively analyzed deidentified academic records from 39 graduates of the Mayo Clinic Rochester ID Fellowship Program (1 July 2013- 30 June 2022). Data abstracted included demographics, degrees, honor society membership, visa/citizenship status, medical school, residency training program, United States Medical Licensure Exam (USMLE) scores, letters of recommendation, in-training examination (ITE) scores, fellowship track, academic rank, career choice, number of honors, awards, and abstracts/publications prior to fellowship, during training, and within 2 years of graduation. Younger fellows had higher USMLE step 1 scores, pre and in-fellowship scholarly productivity, and higher ITE performance. Female fellows had significantly higher USMLE step 3 scores. Prior research experience translated to greater in-fellowship scholarly productivity. Higher USMLE scores were associated with higher ID ITE performance during multiple years of fellowship, but USMLE step 2 clinical knowledge and 3 scores were associated with higher pre and in-fellowship scholarly productivity and receiving an award during fellowship. The USMLE step 1 score did not correlate with fellowship performance beyond year 1 and 2 ITE scores. Multiple aspects of a prospective fellow's application must be considered as part of a holistic review process for fellowship selection. USMLE step 2 CK and 3 scores may predict fellowship performance across multiple domains.
A multitude of federally and industry-funded efforts are underway to generate and collect human, animal, microbial, and other sources of data on an unprecedented scale; the results are commonly referred to as "big data." Often vaguely defined, big data refers to large and complex datasets consisting of myriad datatypes that can be integrated to address complex questions. Big data offers a wealth of information that can be accessed only by those who pose the right questions and have sufficient technical knowhow and analytical skills. The intersection comprised of the gut-brain axis, the intestinal microbiome and multi-ome, and several other interconnected organ systems poses particular challenges and opportunities for those engaged in gastrointestinal and liver research. Unfortunately, there is currently a shortage of clinicians, scientists, and physician-scientists with the training needed to use and analyze big data at the scale necessary for widespread implementation of precision medicine. Here, we review the importance of training in the use of big data, the perils of insufficient training, and potential solutions that exist or can be developed to address the dearth of individuals in GI and hepatology research with the necessary level of big data expertise.
A new dashboard, the 360ºCHILD-profile, was developed to adopt personalized health care within preventive child health care. On this profile, holistic health data are visualized in a single image to provide parents, adolescents, and caregivers direct access to a manageable résumé of a child's medical record. Theoretical ordering, conforming to "International Classification of Functioning, Disability and Health for Children and Youth", guides clinical reasoning toward the biopsychosocial concept of health. It is yet unknown if and how this promising tool functions in practice, and a variety of feasibility questions must be addressed. This paper describes the design and methods of a feasibility randomized controlled trial (RCT), with the aim of evaluating the RCT's feasibility (recruitment, response, measure completion, and intervention allocation) and 360ºCHILD-profile's feasibility (usability and potential effectiveness). A pragmatic mixed methods study design was chosen, starting with an RCT to measure feasibility and health literacy in 2 parallel groups (1:1). Qualitative research will then be used to understand and explain quantitative findings and to explore the stakeholders' perspectives on the potential of the 360ºCHILD-profile. Participants will include child health care professionals (n≥30), parents (n≥30), and caregivers (n≥10) of children who experience developmental problems (age 0-16 years). Children will only be able to participate if they are older than 11 years (adolescents, n≥10). The 2 groups included in the study will receive standard care. The experimental group will additionally receive personalized 360ºCHILD-profiles. After an intervention period of 6 months, quantitative outcomes will be measured, analyzed (descriptive feasibility statistics and preliminary between-group differences) and used to purposively sample for semistructured interviews. Study results will provide knowledge for building theory on the 360ºCHILD-profile and designing future (effect) studies. Netherlands Trial Register NTR6909; https://www.trialregister.nl/trial/6731. DERR1-10.2196/21942.
A new educational curriculum for the next generation of physical and occupational therapists is urgent in order to manage the recent fast advances in sensors, measurement technologies and related instrumentation. This is required by the growing role of STEM in rehabilitation, kinesiology, and sport sciences. Surface EMG technology is used in this work as a representative example of similar problems present in movement analysis, exoskeletons, and many other fields. A review of the most relevant articles and international projects in the field of interfacing physical therapy with measurement technology for quantitative assessment of outcome is presented. It is concluded that a new generation of educators is needed as well as a Ph.D. and/or a clinical doctorate degree in physical therapy, still lacking in many countries. It is urgent to consider knowledge translation since it will take many years before any recommended change in teaching will be accepted and show some effect. A call for a "white paper" on rehabilitation metrology is highly auspicable.
A novel purpose of the use of mathematical models in quantitative microbial risk assessment (QMRA) is to identify the sources of microbial contamination in a food chain (i.e., biotracing). In this article we propose a framework for the construction of a biotracing model, eventually to be used in industrial food production chains where discrete numbers of products are processed that may be contaminated by a multitude of sources. The framework consists of steps in which a Monte Carlo model, simulating sequential events in the chain following a modular process risk modeling (MPRM) approach, is converted to a Bayesian belief network (BBN). The resulting model provides a probabilistic quantification of concentrations of a pathogen throughout a production chain. A BBN allows for updating the parameters of the model based on observational data, and global parameter sensitivity analysis is readily performed in a BBN. Moreover, a BBN enables "backward reasoning" when downstream data are available and is therefore a natural framework for answering biotracing questions. The proposed framework is illustrated with a biotracing model of Salmonella in the pork slaughter chain, based on a recently published Monte Carlo simulation model. This model, implemented as a BBN, describes the dynamics of Salmonella in a Dutch slaughterhouse and enables finding the source of contamination of specific carcasses at the end of the chain.
A number of children experience difficulties with social communication and this has long-term deleterious effects on their mental health, social development and education. The E-PLAYS-2 study will test an intervention ('E-PLAYS') aimed at supporting such children. E-PLAYS uses a dyadic computer game to develop collaborative and communication skills. Preliminary studies by the authors show that E-PLAYS can produce improvements in children with social communication difficulties on communication test scores and observed collaborative behaviours. The study described here is a definitive trial to test the effectiveness and cost-effectiveness of E-PLAYS delivered by teaching assistants in schools. The aim of the E-PLAYS-2 trial is to establish the effectiveness and cost-effectiveness of care as usual plus the E-PLAYS programme, delivered in primary schools, compared to care as usual. Cluster-randomisation will take place at school level to avoid contamination. The E-PLAYS intervention will be delivered by schools' teaching assistants. Teachers will select suitable children (ages 5-7 years old) from their schools using guidelines provided by the research team. Assessments will include blinded language measures and observations (conducted by the research team), non-blinded teacher-reported measures of peer relations and classroom behaviour and parent-reported use of resources and quality of life. A process evaluation will also include interviews with parents, children and teaching assistants, observations of intervention delivery and a survey of care as usual. The primary analysis will compare pragmatic language scores for children who received the E-PLAYS intervention versus those who did not at 40 weeks post-randomisation. Secondary analyses will assess cost-effectiveness and a mixed methods process evaluation will provide richer data on the delivery of E-PLAYS. The aim of this study is to undertake a final, definitive test of the effectiveness of E-PLAYS when delivered by teaching assistants within schools. The use of technology in game form is a novel approach in an area where there are currently few available interventions. Should E-PLAYS prove to be effective at the end of this trial, we believe it is likely to be welcomed by schools, parents and children. ISRCTN 17561417, registration date 19th December 2022. v1.1 19th June 2023.
A number of recent papers have proposed methods to calculate confidence intervals and p values for net benefit used in decision curve analysis. These papers are sparse on the rationale for doing so. We aim to assess the relation between sampling variability, inference, and decision-analytic concepts. We review the underlying theory of decision analysis. When we are forced into a decision, we should choose the option with the highest expected utility, irrespective of p values or uncertainty. This is in some distinction to traditional hypothesis testing, where a decision such as whether to reject a given hypothesis can be postponed. Application of inference for net benefit would generally be harmful. In particular, insisting that differences in net benefit be statistically significant would dramatically change the criteria by which we consider a prediction model to be of value. We argue instead that uncertainty related to sampling variation for net benefit should be thought of in terms of the value of further research. Decision analysis tells us which decision to make for now, but we may also want to know how much confidence we should have in that decision. If we are insufficiently confident that we are right, further research is warranted. Null hypothesis testing or simple consideration of confidence intervals are of questionable value for decision curve analysis, and methods such as value of information analysis or approaches to assess the probability of benefit should be considered instead.
A number of recommendations for the teaching of biostatistics have been published to date, however, student opinion on them has not yet been studied. For this reason, the aim of the manuscript was to find out the opinions of medical students at universities in Poland on two forms of teaching biostatistics, namely traditional and practical, as well as to indicate, on the basis of the results obtained, the related educational recommendations. The study involved a group of 527 students studying at seven medical faculties in Poland, who were asked to imagine two different courses. The traditional form of teaching biostatistics was based on the standard teaching scheme of running a test from memory in a statistical package, while the practical one involved reading an article in which a particular test was applied and then applying it based on the instruction provided. Other aspects related to the teaching of the subject were assessed. According to the students of each course, the practical form of teaching biostatistics reduces the stress level associated with teaching and the student exam (p < 0.001), as well as contributing to an increased level of elevated knowledge (p < 0.001), while the degree of satisfaction after passing the exam is higher (p < 0.001). A greater proportion of students (p < 0.001) believe that credit for the course could be given by doing a statistical review of an article or conducting a survey, followed by the tests learned in class. More than 95% also said that the delivery of the courses should be based on the field of study they were taking, during which time they would also like to have the opportunity to take part in optional activities and hear lectures from experts. It is recommended that more emphasis be placed on practical teaching the subject of biostatistics.
A pandemic poses particular challenges to decision-making because of the need to continuously adapt decisions to rapidly changing evidence and available data. For example, which countermeasures are appropriate at a particular stage of the pandemic? How can the severity of the pandemic be measured? What is the effect of vaccination in the population and which groups should be vaccinated first? The process of decision-making starts with data collection and modeling and continues to the dissemination of results and the subsequent decisions taken. The goal of this paper is to give an overview of this process and to provide recommendations for the different steps from a statistical perspective. In particular, we discuss a range of modeling techniques including mathematical, statistical and decision-analytic models along with their applications in the COVID-19 context. With this overview, we aim to foster the understanding of the goals of these modeling approaches and the specific data requirements that are essential for the interpretation of results and for successful interdisciplinary collaborations. A special focus is on the role played by data in these different models, and we incorporate into the discussion the importance of statistical literacy and of effective dissemination and communication of findings.
A participatory action research project was used to change the design and delivery of continuing professional education in a large Irish academic teaching hospital. Participation in continuing professional education, designed as a short course, is often a method to maintain competence for many nurses. Structured short education courses are often used to orientate and upskill new staff to specialist clinical areas. Traditionally many courses relied on face-to-face delivery over a period of weeks which is challenging for one clinical area to release staff to attend theoretical days in person. A six-stage participatory action research cycle over a 3-year period in a large Irish academic teaching hospital. Multiple methods were used in the cyclical process of participatory action research. Constructive alignment theory and instructional design principles were used to redesign the educational framework. Data collection included audits of courses, questionnaires and focus groups with key participants. Analysis of the focus group themes included 1) underestimated time 2) the process of change 3) teaching and learning styles and 4) acceptance and integration. 20 learners completed the evaluation and reported a positive synergy between e-learning and clinical workshops. E-learning was reported as time-consuming. 75 % of learners reported they were motivated to learn. 90 % of the learners reported they gained new knowledge and skills, 84 % reported the clinical area benefited from the education and 80 % identified a direct improvement in their clinical skills in the specialist area. Participatory action research supports organisational change in continuing professional education. Constructive alignment theory supports the value of outcomes-based learning. In this context it resulted in successfully blending theory and clinical skills for nurses working in specialist areas. The redesigned continuing professional education framework was positively evaluated across nurses in the organisation.