Yoxas/statistical_literacy huggingface dataset:
In the aftermath of the COVID-19 pandemic, the intricate relationship between health and the environment has emerged with unparalleled significance. This investigation examines the effect of leisure-time physical activity (LTPA) on health and environmental consciousness and its influence on attitudes towards green/sustainable products among 533 individuals. Utilizing linear structural modeling and regression analysis, the findings reveal that participation in sports and leisure activities significantly mediates the connection between individual well-being and eco-responsible consumer behaviors. Highlighting LTPA's crucial role in enhancing environmental awareness, this study offers invaluable perspectives for the green product sector. It advocates for the development of strategies that align with consumers' environmental values, underscoring the essential function of sports and leisure in fostering sustainable consumer practices. Crucially, this underscores the intertwined nature of environmental sustainability and individual health, highlighting their mutual dependence.
In the context of Greece, many instruments measuring constructs pertinent to child and adolescent mental health lacked a locally-validated, freely-available version. As part of a nationwide survey, we translated and cross-culturally adapted a collection of seventeen brief, largely-employed assessment tools that can be used at scale. This study is part of the Child and Adolescent Mental Health Initiative in Greece (CAMHI), a capacity-building program focusing on enhancing mental health care for children and adolescents living in Greece. We conducted a nationwide survey assessing mental health symptoms, parenting practices, service availability and quality, mental health literacy and stigma, and professional practices within the country. As part of this process, we selected outcomes and instruments after consulting the International Consortium for Health Outcomes Measurement (ICHOM) and the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN). From our selection, we identified 17 instruments that did not have a Greek-validated version available for use. These instruments were translated and cross-culturally adapted following a structured procedure, including independent back-and-forth translations, synthesis of versions, expert revision, and pilot testing. Some instruments were slightly modified to meet CAMHI survey purposes. A cross-culturally adapted version in Greek was made available for the following instruments: Pediatric Symptoms Checklist (PSC); Deliberate Self Harm Inventory (DSH) (modified); Child and Adolescent Trauma Screen-2 (CATS-2); ABCD Screen Use (modified); Swanson, Nolan, and Pelham-IV (SNAP-IV); Parent Behavior Inventory (PBI); Mental Health Literacy Scale (MHLS)-(modified); Australian Mental Health Vignettes; Reported and Intended Behavior Scale (RIBS); Barriers to Access to Care (BACE) (modified); Experience of Service Questionnaire (ESQ) (modified); and Multitheoretical List of Therapeutic Interventions (MULTI-30) (modified). A collection of these widely-used assessment tools is now adapted for the local context and freely accessible at [ https://osf.io/crz6h/ ]. Researchers and health professionals in Greece can utilize this resource to screen, evaluate, and monitor various constructs related to mental health in accordance with the most effective practices.
In the context of smoking cessation, the shared educational assessment (BEP) enables us to assess the smoker's needs, define specific objectives and set up appropriate educational workshops. This multidisciplinary approach helps smokers to maintain their smoking cessation. The BEP is the first step in the educational process, exploring the various classic dimensions of therapeutic patient education (TPE) and then defining an action plan based on the priorities identified.
In the context of standardized training for general practitioners, the emphasis is still primarily on clinical skills, which does not fully encompass the overall development of general practitioners. This study implemented a practice-based learning and improvement (PBLI) project among students and evaluated its effectiveness based on indicators such as learning outcomes, students' subjective experiences, and annual grades. This study offers recommendations for optimizing general practitioners' teaching and residential training programs. 60 residents who participated in the regular training of general practitioners at the First Clinical College of Tongji Medical College of Huazhong University of Science and Technology from January 2019 to January 2022 were selected for this study. They were randomly divided into two groups, the PBLI group, and the control group, using a random number table method. Out of the 60 residents, 31 were assigned to the control group and 29 were assigned to the PBLI group. The participants in the PBLI group received additional PBLI training along with their daily residential training, while the participants in the control group only took part in the latter. The effectiveness of the PBLI program was analyzed by conducting a baseline survey, administering questionnaires, and evaluating examination results. After implementing the program, the PBLI group scored significantly higher than the control group (p < 0.05). Throughout the implementation process, students in the PBLI group expressed high satisfaction with the learning project, particularly with its content and alignment with the training objective. The teacher's evaluation of the PBLI group students surpassed that of the control group in various areas, including literature retrieval, self-study, courseware development, speech ability, and clinical thinking. The PBLI program aims to encourage resident-centered study in standardized residency training. This approach is beneficial because it motivates students to engage in active learning and self-reflection, ultimately enhancing the effectiveness of standardized residency training.
In the context of the COVID-19 global pandemic, highly intense and frequent online teaching has leapt to be one of the dominant learning patterns and become an ordinary situation in university teaching practices. In recent years, progress in feature engineering and machine learning has made it possible for more effective educational data mining, which in turn has enhanced the performance of intelligent learning models. However, the potential impact of increasing and varying features on online instruction in this new situation makes it unclear whether the existing related findings and results are practical for teachers. In this article, we use various state-of-the-art machine learning techniques to predict students' performance. Based on the validation of the rationality of the built models, the importance of features under different feature selection techniques are calculated separately for the datasets of two groups and compared with the features before and at the beginning of the pandemic. The results show that in the current new state of highly intense online learning, without considering student information such as demographic information, campus attributes (administrative class and teaching class) and learning behavior (completion of online learning tasks and stage tests) these dynamic features are more likely to discriminate students' academic performances, which deserves more attention than demographics for teachers in the guidance of students' learning. In addition, it is suggested that further improvements and refinements should be made to the existing features, such as classifying features more precisely and expanding in these feature categories, and taking into account the statistics about students' in-class performances as well as their subjective understanding of what they have learned. Our findings are in line with the new situation under the pandemic and provide more implications to teachers' teaching guidance.
In the coronavirus disease 2019 pandemic era, clinical programs and mandatory hands-on activities have been supplanted by remote teaching to maintain the fundamental capabilities of medical training and to furnish medical students with quality education. Nonetheless, the satisfaction of faculty members with this training method in the current pandemic has yet to be assessed. The aim of this study was to design a Persian questionnaire with appropriate validity and reliability on cardiology professors' satisfaction level with virtual education. In this cross-sectional study, a questionnaire was devised drawing upon scientific sources and Iranian medical educators' expertise. Seventeen faculty members in various specialties evaluated the questionnaire concerning face and content validity. Content validity was assessed through the calculation of the content validity ratio (CVR) (values >0.62 were considered acceptable) and the content validity index (CVI) (values >0.79 were considered acceptable), construct validity was evaluated through principal component factor analysis by the Kaiser-Meyer-Olkin (KMO) statistic and Bartlett's sphericity test, internal reliability was measured through the calculation of Cronbach's alpha coefficient, and consistency was appraised through the use of test-retest reliability at two different time points. The questionnaire had a reliability rate of 95%, indicating high internal validity. Concerning test-retest reliability, the intraclass correlation coefficient was 0.96 (P < 0.001), demonstrating relatively good stability. The CVI was 0.81, and the CVR was 0.85. The KMO measure of sampling adequacy was 0.954, indicating the acceptability of the degree of common variance among the all items. This Persian questionnaire on virtual education aimed at cardiology faculty members in the current pandemic with its low question count and appropriate domains had high reliability and validity. By knowing the level of professors' satisfaction with the new method of education, it is possible to take steps to better provide specialized medical education to cardiology residents.
In the course of caring, nurses often experience the death of patients, and this experience has an effect on the nurse. Every nurse responds to this experience in a different way, and it can be either a negative emotional response, or a positive emotional response. As part of their curriculum, R425 first-year student nurses are placed in clinical facilities to acquire competency in nursing skills, and here they may be exposed to patients dying. R425 is a South African Nursing Council regulation relating to the approval of and the minimum requirements for the education and training of a nurse (General, Psychiatric, and Community) and Midwife, leading to registration. End-of-life care can be rewarding, yet emotionally and psychologically challenging. Little is known about R425 first-year student nurses' experiences of patients dying while being cared for by nurses on clinical placement. The study, therefore, explored and describes R425 first-year student nurses' experiences of the death of a patient during clinical placement. A qualitative exploratory descriptive and contextual research design was adopted, and a purposive, nonprobability sampling approach applied. Data were collected through unstructured individual interviews with 15 R425 first-year student nurses. Data were analysed using content analysis. Four themes emerged, namely, knowledge, psychological trauma, low self-esteem, and nutritional disorders, and subthemes were identified. Results reveal both negative and positive responses to encountering the death of patients, with more negative responses, and fewer positive responses. Results show that first-year student nurses struggle to cope with the death of a patient, mainly because they lack knowledge and the skills required to provide end-of-life nursing. It is the requirement for student nurses to be competent in a skill, 'last office', which involves laying out of a dead person. Such skill can be deferred in the first year of study, and can only be introduced at a later stage, either in third year or fourth year of study, when students are better equipped with knowledge and skills relating to dealing with death. There is a need to review the curriculum of R425 first-year student nurses, so that outcomes such as death and dying can be introduced in the third or fourth year of study.
In the COVID-19 outbreak, women with a history of miscarriage need more mental health. Anxiety and meta-worry as consequences of miscarriage, besides concerns due to pregnancy during coronavirus, show the necessity of appropriate online and face-to-face educational counseling. This study aimed to evaluate the effectiveness of online metacognitive educational counseling versus face-to-face method on anxiety and meta-worry in these women. In this randomized clinical trial, 80 women with a history of miscarriage, anxiety, and meta-worry referred to Imam Jafar Sadegh hospital (labor, women ward and women clinic), Meybod, Iran, were selected conveniently and randomly assigned into two groups (n = 20/each). The participants received 8-session metacognitive educational counseling package online or face-to-face. Data were collected by Beck Anxiety Inventory, Wellz meta-worry questionnaire at baseline, week eight, and follow up as primary outcomes and analyzed via SPSS software (Anova and Repeated measure statistic tests). Anxiety in the 12th week (online group 13.75 ± 3.59 vs. face to face 18.25 ± 5.91, P = 0.04) was statistical significantly less than baseline (respectively 22.15 ± 5.67 vs. 22.35 ± 4.93, P = 0.56); with fewer anxiety scores in the online group. Meta-worry in the 12th week (online group 11.90 ± 2.59 vs. face to face 15.70 ± 4.06, P = 0.03) was statistically significant compared to baseline (respectively 17.15 ± 2.70 vs. 18.50 ± 3.47, P = 0.36); with fewer meta-worry scores in the online group. Belief about worry in 12th week (online group 66.50 ± 14.60 vs. face to face 78.45 ± 9.27, P = 0.01) was statistical significantly less than baseline (respectively 85.50 ± 8.87 vs. 86.05 ± 8.85, P = 0.96); with less score of belief about worry in the online group. Online and face-to-face metacognitive educational counseling methods decreased anxiety, meta-worry, and belief about worry in women with miscarriage. But online educational counseling was more effective. Distance online counseling in COVID-19 can help the mental health of women with miscarriage.
In the current age of greater digital delivery of services, it is important to examine the validity and differences between spoken and digital delivery of materials. The current study is a practice-based research partnership between school-based speech-language pathologists (SLPs) and researchers, evaluating presentation effects and validity of a narrative retell assessment tool created by SLPs. Fifty-one children across kindergarten, Grade 1, and Grade 2 completed the narrative retell task, retelling One Frog Too Many and Frog Goes to Dinner in three in-person story presentation conditions administered 1 week apart: spoken, iPad with audio-recorded natural rate of speech, and iPad with slow rate of speech. This was followed by 10 comprehension questions related to story events. Children also completed the Story Retelling subtests from the Test of Integrated Language and Literacy Skills (TILLS). Children recalled significantly fewer events in the spoken condition compared to audio-recorded iPad conditions. No significant effect of speaking rate was found. Presentation condition and rate did not affect performance on comprehension questions. Correlations among retell measures and corresponding subtests on a standardized language test ranged from weak to strong, providing some evidence of concurrent validity. This practice-based research partnership provided valuable insight into differences in delivery modality as well as the validity of a school-based SLP created narrative retell assessment tool. This study found that rate did not impact recall of events or performance on comprehension questions. Additionally, children performed better on narrative retell measures when stories were told using an iPad. This highlights the potential for iPad delivery as an option in narrative retell tasks. Finally, this study provided an initial examination of the Narrative Evaluation Tool's validity, finding the tool captures ability to recall narrative events; however, future studies are needed to examine the tool's validity as a measure of narrative comprehension. https://doi.org/10.23641/asha.25260910.
In the current health care landscape, a paradigm shift toward team-based care is underway. Integrating interprofessional education experiences into graduate communication sciences and disorders (CSD) programs is essential to cultivate collaborative skills and prepare future professionals for the interprofessional demands of the field. Within this context, peer teaching has emerged as a noteworthy strategy to promote learning. This study aims to contribute to this evolving field by reporting the impact of an interprofessional (speech-language pathology and audiology) peer teaching educational intervention on physician assistant (PA) students' knowledge of speech-language-hearing developmental milestones and developmental screening. A quantitative, descriptive methodology with a pretest, posttest interventional design was utilized to assess the impact of a CSD peer-led educational intervention on the knowledge of 35 PA students. The perceived satisfaction of the PA students with the peer-led educational experience was also evaluated. Data analysis revealed a significant increase on knowledge posttest scores compared to pretest scores. PA students also reported an overall positive peer learning experience. The collaboration between speech-language pathology, audiology, and PA students through peer teaching holds significant importance in the context of pediatric primary care, and for CSD graduate trainings programs interested in improving educational experiences that tailor to interprofessional learning and practice.
In the Democratic Republic of the Congo (DRC), the prevalence of mental health issues could be greater than in other low-income and middle-income countries because of major risk factors related to armed conflicts and poverty. Given that mental health is an essential component of health, it is surprising that no systematic evaluation of mental health in the DRC has yet been undertaken. This study aims to undertake the first systematic review of mental health literacy and service provision in the DRC, to bridge this gap and inform those who need to develop an evidence base. This could support policymakers in tackling the issues related to limited mental health systems and service provision in DRC. Following Cochrane and PRISMA guidelines, a systematic (Web of Science, Medline, Public Health, PsycINFO, and Google Scholar) search was conducted (January 2000 and August 2023). Combinations of key blocks of terms were used in the search such as DRC, war zone, mental health, post-traumatic stress disorder (PTSD), anxiety, depression, sexual violence, war trauma, resilience, mental health systems and service provision. We followed additional sources from reference lists of included studies. Screening was completed in two stages: title and abstract search, and full-text screening for relevance and quality. Overall, 50 studies were included in the review; the majority of studies (n = 31) were conducted in the Eastern region of the DRC, a region devastated by war and sexual violence. Different instruments were used to measure participants' mental health such as the Hopkins Symptoms Checklist (HSCL-25), The Harvard Trauma Questionnaire, Patient Health Questionnaire (PHQ-9); General Anxiety Disorder (GAD-7), and Positive and Negative Symptoms Scale (PANSS). Our study found that wartime sexual violence and extreme poverty are highly traumatic, and cause multiple, long-term mental health difficulties. We found that depression, anxiety, and PTSD were the most common problems in the DRC. Psychosocial interventions such as group therapy, family support, and socio-economic support were effective in reducing anxiety, depression, and PTSD symptoms. This systematic review calls attention to the need to support sexual violence survivors and many other Congolese people affected by traumatic events. This review also highlights the need for validating culturally appropriate measures, and the need for well-designed controlled intervention studies in low-income settings such as the DRC. Better public mental health systems and service provision could help to improve community cohesion, human resilience, and mental wellbeing. There is also an urgent need to address wider social issues such as poverty, stigma, and gender inequality in the DRC.
In the diagnostic reasoning process medical students and novice physicians need to be made aware of the diagnostic values of the clinical findings (including history, signs, and symptoms) to make an appropriate diagnostic decision. Diagnostic reasoning has been understood in light of two paradigms on clinical reasoning: problem solving and decision making. They advocate the reasoning strategies used by expert physicians and the statistical models of reasoning, respectively. Evidence-based medicine (EBM) applies decision theory to the clinical diagnosis, which can be a challenging topic in medical education.This theoretical article tries to compare evidence-based diagnosis with expert-based strategies in clinical diagnosis and also defines a novel concept of category-oriented likelihood ratio (LR) to propose a new model combining both aforementioned methods. Evidence-based medicine advocates the use of quantitative evidence to estimate the probability of diseases more accurately and objectively; however, the published evidence for a given diagnosis cannot practically be utilized in primary care, especially if the patient is complaining of a nonspecific problem such as abdominal pain that could have a long list of differential diagnoses. In this case, expert physicians examine the key clinical findings that could differentiate between broader categories of diseases such as organic and non-organic disease categories to shorten the list of differential diagnoses. To approach nonspecific problems, not only do the experts revise the probability estimate of specific diseases, but also they revise the probability estimate of the categories of diseases by using the available clinical findings. To make this approach analytical and objective, we need to know how much more likely it is for a key clinical finding to be present in patients with one of the diseases of a specific category versus those with a disease not included in that category. In this paper, we call this value category-oriented LR.