Yoxas/statistical_literacy huggingface dataset:
In recent years, nurses have developed projects in the area of hospital to community transition. The objective of the present study was to analyze the transitional care offered to elderly people after they used emergency services and were discharged to return to the community. The action research method was chosen. The participants were nurses, elderly people 70 years old or older, and their caregivers. The study was carried out from October 2018 to August 2019. The data were collected by means of semi-structured interviews with the nurses, analysis of medical records, participatory observation, phone calls to the elderly people and caregivers, and team meetings. The qualitative data were submitted to Bardin's content analysis. Statistical treatment was carried out by applying SPSS version 23.0. The institution's research ethics committee approved the research. Only 31.4% of the sample experienced care continuity after discharge, and the rate of readmission to emergency services during the first 30 days after discharge was 33.4%. The referral letters lacked data on information provided to patients or caregivers, and nurses mentioned difficulties in communication between care levels, as well as obstacles to teamwork; they also mentioned that the lack of health policies and clinical rules to formalize transitional care between the hospital and the community perpetuated non-coordination of care between the two contexts. The low level of literacy of patients and their relatives are mentioned as a cause for not understanding the information regarding seeking primary health care services and handing the discharge letter. It was concluded that there is an urgent need to mobilize health teams toward action in the patients' process of returning home, and this factor must be taken into account in care planning.
In recent years, patient safety activities have shifted from being centered on healthcare providers to involving patients themselves. Health literacy of inpatients has a direct impact on patient participation behavior. Patient safety perception was also associated with willingness to participate in patient safety and patient participation behavior. Therefore, this study aimed to investigate the mediating effects of patient safety perception and willingness to participate in patient safety on the relationship between health literacy and patient participation behavior among inpatients. This cross-sectional study was conducted to confirm the relationship between study variables. A total of 262 inpatients were recruited from patients admitted to the ward of a tertiary general hospital between October and November 2023. Participants were invited to complete self-reported questionnaires that measured health literacy, patient safety perception, willingness to participate in patient safety, patient participation behavior, and demographic information. Data were analyzed using a dual mediation model applying the PROCESS macro (Model 6) with 95% bias-corrected bootstrap confidence intervals. This study analyzed the direct effects of health literacy on patient safety perceptions and patient participation behavior. Health literacy indirectly affected patient participation behavior through patient safety perceptions and willingness to participate in patient safety. Regarding the relationship between health literacy and patient participation behavior, patient safety perceptions and willingness to participate in patient safety showed a significant dual mediating effect. This study identified the factors that promote patient participation behavior among inpatients. The mediating effect of patient safety perception on the relationship between health literacy and patient participation behavior was found to be strong. Building health literacy among inpatients ensures patient safety by increasing patient safety perceptions.
In recent years, people's living standards have been greatly improved, but at the same time, it also brings many health problems, among which mental health problems and sleep problems of college students are important problems. The aim of the study is to explore the effect of physical activity intervention on college students' mental health and provide a new way of thinking for colleges and universities to carry out mental health interventions. This paper focuses on the physical health problems of college students and explores the relationship between aerobic exercise, emotion, and sleep quality among college students. The SPSS statistical method was used to analyze the differences in aerobic exercise, emotion, and sleep quality among college students in terms of demographic variables; to explore the relationship between aerobic exercise, emotion, and sleep quality; and to construct a structural equation model using the relationship between them. Results/Discussion. This study explores the relationship between aerobic exercise and sleep quality and psychological health of college students, further analyzes the path model of the role of aerobic exercise and psychological health on sleep quality of college students, and verifies it through experiments, which proves to help universities and relevant departments understand the current situation of exercise and sleep quality of college students and provide timely and effective design of mandatory aerobic exercise courses for college students who lack exercise and have sleep problems. At the same time, it helps college students to understand their sleep situation and adjust their aerobic exercise courses according to their sleep status.
In recent years, research has been demonstrating that movement analysis, utilizing machine learning methods, can be a promising aid for clinicians in supporting autism diagnostic process. Within this field of research, we aim to explore new models and delve into the detailed observation of certain features that previous literature has identified as prominent in the classification process. Our study employs a game-based tablet application to collect motor data. We use artificial neural networks to analyze raw trajectories in a "drag and drop" task. We compare a two-features model (utilizing only raw coordinates) with a four-features model (including velocities and accelerations). The aim is to assess the effectiveness of raw data analysis and determine the impact of acceleration on autism classification. Our results revealed that both models demonstrate promising accuracy in classifying motor trajectories. The four-features model consistently outperforms the two-features model, as evidenced by accuracy values (0.90 vs. 0.76). However, our findings support the potential of raw data analysis in objectively assessing motor behaviors related to autism. While the four-features model excels, the two-features model still achieves reasonable accuracy. Addressing limitations related to sample size and noise is essential for future research. Our study emphasizes the importance of integrating intelligent solutions to enhance and assist autism traditional diagnostic process and intervention, paving the way for more effective tools in assessing motor skills.
In recent years, self-regulated learning (SRL) has become a hot topic in medical education. However, the factors that affect the SRL ability of medical-related specialties, such as clinical medicine, traditional Chinese medicine (TCM), and nursing specialty in TCM colleges and universities are unclear. Whether the teaching of learning strategies can help improve students' SRL also needs to be further examined. A cross-sectional survey was distributed, and 878 medical-related students who were from a TCM university were recruited for this study. Descriptive statistics illustrated the status quo of SRL and learning strategies, and an independent t-test and analysis of variance were used to analyze the factors associated with SRL. The relationship between SRL and learning strategies was analyzed with multi-linear regression analysis. The scores of SRL on learning motivation, learning setting, self-regulation, and total scores were 34.76 ± 4.62, 41.14 ± 4.30, 39.26 ± 4.74, and 115.16 ± 12.42, respectively. The metacognitive, emotion, cognitive, resource management and total scores of learning strategies were 58.54 ± 12.02, 43.24 ± 8.42, 35.49 ± 7.34, 22.89 ± 4.20, 160.16 ± 29.45, and the mean was all above the midpoint. Learning strategies were positively correlated with SRL (r = 0.421, P < 0.01). Some factors can predict 32% of the variation of SRL, including whether they liked their specialty, educational system, specialty, score ranking, scholarship, whether they were taught by a tutor in middle school, gender, monthly family income, the father's educational background, metacognitive strategy, resource management strategy, and cognitive strategy. The SRL of medical-related students was better. Learning strategies, as well as personal or social factors, can affect SRL. Educators should pay more attention to the cultivation of learning strategies, exercising learning skills, and monitoring, adjustment, and guidance of learning time. It should adopt various methods to improve the SRL of medical-related students according to the different factors.
In recent years, significant steps have been made in integrating basic science and clinical medicine. There remains a gap in adding the third pillar of education: health systems science (HSS). Core clerkships represent an ideal learning venue to integrate all three. Students can experience the value of integrating basic science as they learn clinical medicine in environments where HSS is occurring all around them. We outline the creation of Sciences and Art of Medicine Integrated (SAMI), a course that runs parallel with the clerkship year and integrates basic science and HSS with clinical medicine. A complete description of the planning and implementation of SAMI is provided. We include the participants and educational setting, the goals and objectives, and the structure of each session. To encourage the integration of basic science, HSS, and clinical medicine, students utilize a series of tools, described in detail. Examples of each tool are provided utilizing a case of a patient presenting with obstructive sleep apnea. We successfully implemented this course with positive reception from students. This course represents a step not only toward the integration of HSS with basic science and clinical medicine but also an advancement in training future clinicians to provide high-value care. Future curricular development must consider the validation of a measure of clinical reasoning that assesses a student's ability to think in a cognitively integrated fashion about basic science, HSS, and clinical medicine demonstrated by enhanced justification of clinical reasoning and a more holistic approach to planning patient care.
In recent years, Single-cell RNA sequencing (scRNA-seq) is increasingly accessible to researchers of many fields. However, interpreting its data demands proficiency in multiple programming languages and bioinformatic skills, which limited researchers, without such expertise, exploring information from scRNA-seq data. Therefore, there is a tremendous need to develop easy-to-use software, covering all the aspects of scRNA-seq data analysis. We proposed a clear analysis framework for scRNA-seq data, which emphasized the fundamental and crucial roles of cell identity annotation, abstracting the analysis process into three stages: upstream analysis, cell annotation and downstream analysis. The framework can equip researchers with a comprehensive understanding of the analysis procedure and facilitate effective data interpretation. Leveraging the developed framework, we engineered Shaoxia, an analysis platform designed to democratize scRNA-seq analysis by accelerating processing through high-performance computing capabilities and offering a user-friendly interface accessible even to wet-lab researchers without programming expertise. Shaoxia stands as a powerful and user-friendly open-source software for automated scRNA-seq analysis, offering comprehensive functionality for streamlined functional genomics studies. Shaoxia is freely accessible at http://www.shaoxia.cloud , and its source code is publicly available at https://github.com/WiedenWei/shaoxia .
In recent years, the biopharmaceutical industry has developed rapidly, creating urgent demand for high-quality, innovative, and application-oriented talents. In the context of "first-class undergraduate education", it is of great significance to reform and explore biopharmaceutics blended learning to foster professional talents who can adapt to the industrial development. The blended teaching of biopharmaceutics course in Hubei University was based on small private online course (SPOC) and ChaoXing platform, aiming to meet the first-class "AIC (advanced, innovation, challenge)". The course strengthened the three phases of teaching: before, during, and after class, and innovated teaching methods actively to achieve curriculum goals, and integrated typical cases organically. In addition, the course improved the discriminative power of assessment by strengthening the formative performance evaluation. Moreover, the course provided guidance for students to improve the learning efficiency through investigating the students' learning behavior and employing the marginal utility curve to analyze the characteristics of group activities. Furthermore, the course also offered students personalized learning guidance based on their career planning. The reform of biopharmaceutics blended teaching has achieved significant outcomes, such as improving students' satisfaction, students' innovation and entrepreneurship ability, and curriculum construction level, thus may serve as a reference for the teaching reform and research of the related courses.
In recent years, the flipped classroom approach has been broadly applied to nursing courses in China. However, a systematic and quantitative assessment of the outcomes of this approach has not been conducted. The purpose of the meta-analysis is to evaluate the effectiveness of the flipped classroom pedagogy in Chinese baccalaureate nursing education. Meta-analysis of randomized controlled studies. All randomized controlled trials relevant to the use of flipped classrooms in Chinese nursing education were retrieved from the following databases from their date of inception through September 23, 2017: PubMed, EMBASE, the Cochrane Central Register of Controlled Trials, CINAHL, the China National Knowledge Infrastructure, the Wanfang Database, and the Chinese Scientific Journals Database. Search terms including "flipp*", "inverted", "classroom", and "nurs*" were used to identify potential studies. We also manually searched the reference lists of the retrieved articles to identify potentially relevant studies. Two reviewers independently assessed the eligibility of each study and extracted the data. The Cochrane risk-of-bias tool was used to evaluate the quality of the studies. RevMan (Version 5.3) was used to analyze the data. Theoretical knowledge scores and skill scores (continuous data) were synthesized using the standardized mean difference (SMD) and 95% confidence interval (CI). The statistical heterogeneity of the included studies was analyzed by calculating the I2 statistic and applying a chi-square test. Publication bias was assessed by funnel plots. The quality of the combined results was evaluated using the Grading of Recommendations Assessment, Development and Evaluation system. Eleven randomized controlled trials published between 2015 and 2017 were selected. All the included studies had a moderate possibility of bias due to low methodological quality. The meta-analysis indicated that the theoretical knowledge scores and skill scores were significantly higher in the flipped classroom group than in the traditional lectures group (SMD=1.06, 95% CI: 0.70-1.41, P <0.001, and SMD=1.40, 95% CI: 0.46-2.34, P <0.001). There was no significant publication bias indicated in the primary analysis. Sensitivity analysis showed that the results of our meta-analysis were reliable. The evidence grades of the results regarding the theoretical knowledge and skill scores were low and very low, respectively. Flipped classroom pedagogy is more effective than traditional lectures at improving students' theoretical knowledge and skill scores. Given the limitations of the included studies, more robust randomized controlled trials are warranted in a variety of educational settings to confirm our findings.
In recent years, the growing incidence of health issues among Chinese students, including obesity, diabetes, and other chronic diseases, has been attributed to a sedentary lifestyle, lack of physical activity, and unhealthy eating habits. Physical education (PE) classes play a crucial role in promoting physical activity and fostering healthy lifestyles among Chinese students. The purpose of this study was to investigate the influence of the healthy PE curriculum model on the sports ability of senior high school students in China. The trial adopted a quasi-experimental design with equivalent groups. The experimental group followed the healthy PE curriculum model in their PE classes, while the control group received traditional technical instruction. During the 12-week intervention, 149 senior high school students completed the sports ability test as both the pre-test and post-test measurements for this experimental study. The results indicated that the experimental group showed significant improvements in sports ability compared to the control group, highlighting the positive effects of the healthy PE curriculum model. The structural characteristics of the healthy PE curriculum model provided essential support for students' learning and proved to be an effective way to promote physical literacy among senior high school students in China.
In recent years, the growing readiness on the part of dental patients to take legal action has resulted in an increasing number of medical liability lawsuits. The aim of this retrospective analysis was to highlight aspects of these lawsuits of special significance, to subject them to both qualitative and quantitative analysis, and to show how conflicts can be avoided. Forty relevant court decisions from the year 1984 onwards were found in online databases and through direct inquiries at the courts. These were supplemented by 21 reports prepared by experts at the University of Muenster, Department of Dental Medicine, commissioned by courts in connection with ongoing lawsuits. Analysis was initially based on formal aspects of the cases and reports. It was later supplemented by differentiated assignment of the questions addressed by the courts to the expert consultants. The principles underlying the judgments as to the liability arising from the terms of the contract were also assigned to the expert consultants in a differentiated manner. The results revealed marked differences in the frequency of liability-prone aspects of treatment. While the majority of judgments referred to the obligation to take due care during the preparatory and treatment phases, infringement of the obligations to provide information and to keep records played more than a minor role. Moreover, 90% of all cases represented combined charges covering various aspects, including those related to consequential failings. The detailed qualitative analysis of the grounds quoted and of the lines of reasoning can therefore be summed up in clearly defined recommendations aimed at helping the clinician avoid conflicts by observing the judicial requirements.
In recent years, the integration of technological advancements and digitalization into healthcare has brought about a remarkable transformation in care delivery and patient management. Among these advancements, the concept of digital twins (DTs) has recently gained attention as a tool with substantial transformative potential in different clinical contexts. DTs are virtual representations of a physical entity (e.g., a patient or an organ) or systems (e.g., hospital wards, including laboratories), continuously updated with real-time data to mirror its real-world counterpart. DTs can be utilized to monitor and customize health care by simulating an individual's health status based on information from wearables, medical devices, diagnostic tests, and electronic health records. In addition, DTs can be used to define personalized treatment plans. In this study, we focused on some possible applications of DTs in laboratory medicine when used with AI and synthetic data obtained by generative AI. The first point discussed how biological variation (BV) application could be tailored to individuals, considering population-derived BV data on laboratory parameters and circadian or ultradian variations. Another application could be enhancing the interpretation of tumor markers in advanced cancer therapy and treatments. Furthermore, DTs applications might derive personalized reference intervals, also considering BV data or they can be used to improve test results interpretation. DT's widespread adoption in healthcare is not imminent, but it is not far off. This technology will likely offer innovative and definitive solutions for dynamically evaluating treatments and more precise diagnoses for personalized medicine.
In recent years, the physical quality of middle school students in China has generally declined, which has attracted the attention of the state and the Ministry of education. With the development of Internet technology, China's physical education teaching environment has gradually become intelligent. This article mainly studies the mobile terminal equipment and methods of martial arts movement correction in the intelligent physical education environment. 21 young martial arts athletes were selected as the research objects. In the experiment, functional screening (FMS) was used to test the martial arts athletes, followed by FMS tests and scores. A video camera was used to record the motion test from the subjects' sagittal and frontal planes. Using wireless sensor technology to collect the athletes' motion signals, after the twelfth week, the FMS, SEBT, and the number of successful routines were tested on the two groups of athletes, respectively. The pre-test data and the post-correction data of the two test indicators were compared and analyzed. There is no significant difference. The necessary statistics and integration of the obtained data are carried out by using the calculation methods in sports statistics. The experimental data showed that the average total scores of FMS screening test of Changquan athletes and Taijiquan athletes were 14.71 ± 1.52 and 16.20 ± 1.32, respectively. The results of the research on the mobile terminal equipment and methods of martial arts movement correction in the intelligent sports environment show that the mobile terminal equipment can improve the independent training ability of athletes, and at the same time has a good correction effect on irregular movements.