Yoxas/statistical_literacy huggingface dataset:
Class inclusion is an early form of abstract thought that requires logical rather than perceptually based inferences plus an appreciation of part-whole relationships (B. Inhelder and J. Piaget, 1959/1964). The authors randomly assigned 2 groups of first graders who were having academic difficulties to be instructed on either class inclusion or phonics. Results showed a significant linear relation between individual children's mastery of class inclusion and their scores on the Cognitive Abilities Test Form 6 (D. F. Lohman and E. P. Hagen, 2001) verbal and quantitative measures of reasoning. The authors also found a significant linear relation between mastery of class inclusion and improvement in report card marks issued by teachers who were blind to the children's group assignment.
Classical homocystinuria due to cystathionine β-synthase (CBS) deficiency (OMIM 236200) is a recessively inherited condition caused by mutations in the CBS gene. The founder mutation p.R336C accounts for almost all CBS deficiency in Qatar, affecting approximately 1 in 1,800 births, making it the most prevalent monogenic disease among the Qatari population. Untreated patients can have severe intellectual disability (ID), devastating multisystem complications and premature death. Current treatment is based on pharmacology therapy and life-long methionine-restricted diet, which is difficult to maintain particularly in late diagnosed individuals. Data on the neurodevelopmental and psychological impact of the disease on outcomes among Qatari patients are generally lacking and have not been studied. To examine the cognitive, educational and psychological outcomes of classical homocystinuria on Qatari patients. Thirty-two cases with classical homocystinuria and 25 sibling controls were recruited to evaluate the neurodevelopmental and cognitive outcomes. We reviewed the subjects' medical record and collected pertinent clinical and educational data from parents. Stanford-Binet Intelligence Test (Arabic translation - 4th ed.) was used for cognitive (IQ) testing. The mean age for the subjects was 11.2 years (range 0.6-29) with 56% males. The majority of cases (93%) carried the mutation (p.R336C), and parental consanguinity was 84%. There were no differences between the two groups in the fine motor, expressive language, behavioural and visual skills. However, cases have much lower total IQ particularly in the domains of short memory, quantitative reasoning and visual-spatial domains. A significant number of adolescents and adult cases had medical co-morbidities as well as behavioural and emotional problems. Individuals with classical homocystinuria have many developmental and cognitive difficulties with significant number of cases having learning disability and lower IQs (cf. sibling controls) with adolescents and adults more affected. Those diagnosed by newborn screening have better developmental and cognitive outcomes compared to late diagnosed cases. Psychological and psychiatric referrals should be part of the standard of care for those cases.
Classical statistical analysis of data can be complemented or replaced with data analysis based on machine learning. However, in certain disciplines, such as education research, studies are frequently limited to small datasets, which raises several questions regarding biases and coincidentally positive results. In this study, we present a refined approach for evaluating the performance of a binary classification based on machine learning for small datasets. The approach includes a non-parametric permutation test as a method to quantify the probability of the results generalising to new data. Furthermore, we found that a repeated nested cross-validation is almost free of biases and yields reliable results that are only slightly dependent on chance. Considering the advantages of several evaluation metrics, we suggest a combination of more than one metric to train and evaluate machine learning classifiers. In the specific case that both classes are equally important, the Matthews correlation coefficient exhibits the lowest bias and chance for coincidentally good results. The results indicate that it is essential to avoid several biases when analysing small datasets using machine learning.
Classifications and phylogenies of perceived natural entities change in the light of new evidence. Taxonomic changes, translated into Code-compliant names, frequently lead to name:meaning dissociations across succeeding treatments. Classification standards such as the Mammal Species of the World (MSW) may experience significant levels of taxonomic change from one edition to the next, with potential costs to long-term, large-scale information integration. This circumstance challenges the biodiversity and phylogenetic data communities to express taxonomic congruence and incongruence in ways that both humans and machines can process, that is, to logically represent taxonomic alignments across multiple classifications. We demonstrate that such alignments are feasible for two classifications of primates corresponding to the second and third MSW editions. Our approach has three main components: (i) use of taxonomic concept labels, that is name sec. author (where sec. means according to), to assemble each concept hierarchy separately via parent/child relationships; (ii) articulation of select concepts across the two hierarchies with user-provided Region Connection Calculus (RCC-5) relationships; and (iii) the use of an Answer Set Programming toolkit to infer and visualize logically consistent alignments of these input constraints. Our use case entails the Primates sec. Groves (1993; MSW2-317 taxonomic concepts; 233 at the species level) and Primates sec. Groves (2005; MSW3-483 taxonomic concepts; 376 at the species level). Using 402 RCC-5 input articulations, the reasoning process yields a single, consistent alignment and 153,111 Maximally Informative Relations that constitute a comprehensive meaning resolution map for every concept pair in the Primates sec. MSW2/MSW3. The complete alignment, and various partitions thereof, facilitate quantitative analyses of name:meaning dissociation, revealing that nearly one in three taxonomic names are not reliable across treatments-in the sense of the same name identifying congruent taxonomic meanings. The RCC-5 alignment approach is potentially widely applicable in systematics and can achieve scalable, precise resolution of semantically evolving name usages in synthetic, next-generation biodiversity, and phylogeny data platforms.
Clear aligner technology based on a machine learning algorithm is currently available for orthodontic treatment. Treatment planning on the basis of 3-dimensional crown, root, and bone imaging is claimed to provide accurate diagnosis and better treatment outcomes for adult patients with complex needs. This study aimed to answer the following questions: (1) would practitioners modify their original treatment plan once provided with the crown, root, and bone view? and (2) does practitioner satisfaction regarding treatment outcomes change once the crown, root, and bone view is provided? An online questionnaire was emailed to members of the American Association of Orthodontists (n = 2300) and the Virginia Orthodontic Education and Research Foundation (n = 211). The survey consisted of videos of 4 patients shown in 2 presentations: crown-only and crown, root, and bone views, generated by artificial intelligence-driven treatment planning software (3D Predict aligner system; 3D Predict, New York, NY). Respondents were asked to answer treatment-related questions and rate the treatment outcomes using a visual analog scale. Statistical analyses were completed to determine the significance of crown, root, and bone view on treatment planning with clear aligners. A total of 70 orthodontists participated in the survey. There were significant differences in responses when viewing patients in crown-only and crown, root, and bone presentations. Across the 4 patients, 33%-43% of practitioners changed their sentiment toward the treatment plan (P <0.001). When rating satisfaction on the 100-point scale, average ratings changed by 10.6 to 21.0 points; both increases and decreases in satisfaction were seen across the patients (P <0.001). When given 3-dimensional information on the position of a patient's crowns, root, and bone coverage, orthodontists are likely to change their clear aligner treatment plan. This study showed that a confirmation of dehiscence and fenestrations using the root and bone view resulted in practitioner dissatisfaction despite an initial satisfaction with the crown-only view.
Clear communication of medical risk helps to ensure proper patient understanding of healthcare options and supports informed decision-making. Communication involving visual and written risk typically conveys risk more effectively than conversations alone between a patient and a clinician. However, perception of risk is context-dependent, and the efficacy of and preferences for commonly-used risk communication formats are not well-understood during pregnancy, which is a time of complex decision-making. We sought to address this knowledge gap. This study aimed to assess pregnant and recently pregnant people's understanding and preferences for different risk communication formats. We conducted an open online REDCap survey of pregnant and recently pregnant people over a 1-month period in 2022. Study participants were aged 16 to 49 years, pregnant or recently pregnant, and able to provide informed consent in English. Data collected included demographics, measurements of accuracy of understanding including both gist accuracy (general understanding) and verbatim accuracy (numeric quantification), and preferences for risk communication formats including icon arrays, pie charts, bar graphs, and text. Descriptive analyses of the proportion of correctly answered questions were calculated. A total of 247 participants completed ≥1 item on accuracy and risk communication preferences, and 230 provided complete responses. Gist (general) understanding was accurate between 74% and 89% of the time for most graphical formats. Verbatim understanding (exact numeric quantification) was approximately 90% accurate for most formats. Respondents preferred that figures be used over circles to display risk in icon arrays, both for themselves and for infants, although figures generated more worry. However, participants substantially preferred pie charts over bar graphs (59%-70% vs 19%-25%). Respondents preferred risk to be expressed with a lower denominator of 200 rather than a higher denominator of 1000 (79% vs 13%, although the lower denominator generated more worry), and in terms of chance of survival rather than chance of death (50% vs 33%). In a survey of pregnant and recently pregnant people, most respondents preferred pie charts over other graph formats, and lower rather than higher denominators in text. Presentations of survival rather than death estimates were also preferred. Approximately 75% to 90% of respondents accurately understood risk presented with visual and written communication. For the remaining participants, for whom accurate understanding was challenging, new strategies need to be developed.
Clear dialogue-based (interactive) communication that ensures comprehension and recall becomes more important in patient-provider interactions, especially in relation to patients with chronic diseases, where self-management education and counseling are cornerstones in managing these diseases. If patients with chronic disease experience challenges in obtaining, understanding, and applying health-related information (necessary to make informed health decisions and sufficiently manage their health), clear communication and ensuring comprehension become even more critical in the patient-provider interactions. Furthermore, patient-provider communication has been proposed as a potential pathway through which health literacy might influence health outcomes, especially in individuals with chronic diseases. Hence, adjusting communication to the individual level of health literacy might have a positive influence on health outcomes. On this basis, the authors have developed a web-based interactive communication model that both seeks to accommodate health literacy by allowing tailored communication and ensure comprehension and recall between nurses and patients. This study seeks to examine the use of an IT solution that comprises an interactive communication model that seeks to accommodate health literacy in communication and ensure comprehension and recall between nurses and patients. A quasi-experimental control group study including full economic evaluation with 6-month follow-up. Based on power calculation, a total of 82 participants will be included. Participants are assigned either the interactive communication model (intervention) or usual nursing care. It will be assessed if the model influences the level of health literacy and participants experience a higher health-related quality of life. Further, cost-effectiveness will be evaluated. Overall, the statistical methods will follow an intention-to-treat principle. Results will be presented in accordance with the Transparent Reporting of Evaluations with Non-randomized Designs guidelines for nonrandomized designs as well as the Consolidated Health Economic Evaluation Reporting Standards. This paper describes a protocol for a clustered quasi-experimental control study that seeks to evaluate the effectiveness of the interactive communicative model. Most studies in the field of health literacy are epidemiological studies that seek to address the effects of poor health literacy in populations and its potential impact on health inequity. A total of 82 participants, who receive community nursing will be included. The final trial day is May 1, 2022, with the first report of results in the final quarter of 2022. The results of the trial can create the base for conducting a large-scale study and inspire the conduction of more studies that seeks to create and evaluate interventions aimed at enhancing the level of health literacy and reducing the usage of health resources. ClinicalTrials.gov NCT04929314; https://clinicaltrials.gov/ct2/show/NCT04929314. DERR1-10.2196/37673.
Client satisfaction depends on the balance between expectations and service experience. Previous research identified seven aspects of equine veterinary professional conduct that are important for client satisfaction: quality of care, quality of service, horsemanship, transfer of knowledge, financial aspects, interpersonal skills and professionalism. By employing a cross-sectional study design through a survey-based investigation, horse owners' initial contact preferences and their perceptions of the importance of various aspects of veterinary care in different scenarios were explored. Categories included professional versus amateur and competitive versus non-competitive horse owners. Quantitative data analysis was performed. Data from 1153 participants revealed that horse owners promptly contacted veterinarians for colic (92.7%) but delayed for lameness (51.8%) and pre-purchase examinations (63.0%). Overall, quality of care emerged as the most important aspect of veterinary care for horse owners, with financial aspects considered least important. Competitive and professional horse owners prioritised financial aspects and professionalism, whereas non-professional and non-competitive horse owners prioritised quality of care and interpersonal skills (p < 0.005). Survey distribution relied on a snowball effect, internet access was necessary and the study exclusively represents the Western equine community. Potential bias should be acknowledged. The perceived importance of various aspects of veterinary care varies depending on the nature of the consultation and the horse owner type. Tailoring veterinary services can improve client satisfaction by aligning with diverse expectations.
Climate change has increased the frequency, intensity, and duration of heatwaves, posing a serious threat to public health. Although the link between high temperatures and premature mortality has been extensively studied, the comprehensive quantification of heatwave effects on morbidity remains underexplored. In this observational study, we assessed the relationship between heatwaves and daily hospital admissions at a county level in Portugal. We considered all major diagnostic categories and age groups (<18 years, 18-64 years, and ≥65 years), over a 19-year period from 2000 to 2018, during the extended summer season, defined as May 1, to Sept 30. We did a comprehensive geospatial analysis, integrating over 12 million hospital admission records with heatwave events indexed by the Excess Heat Factor (EHF), covering all 278 mainland counties. We obtained data from the Hospital Morbidity Database and E-OBS daily gridded meteorological data for Europe from 1950 to present derived from in-situ observations. To estimate the effect of heatwaves on hospital admissions, we applied negative binomial regression models at both national and county levels. We found a statistically significant overall increase in daily hospital admissions during heatwave days (incidence rate ratio 1·189 [95% CI 1·179-1·198]; p<0·0001). All age groups were affected, with children younger than 18 years being the most affected (21·7% [20·6-22·7] increase in admissions; p<0·0001), followed by the working-age (19·7% [18·7-20·7]; p<0·0001) and elderly individuals (17·2% [16·2-18·2]; p<0·0001). All 25 major disease diagnostic categories showed significant increases in hospital admissions, particularly burns (34·3% [28·7-40·1]; p<0·0001), multiple significant trauma (26·8% [22·2-31·6]; p<0·0001), and infectious and parasitic diseases (25·4% [23·5-27·3]; p<0·0001). We also found notable increases in endocrine, nutritional, and metabolic diseases (25·1% [23·4-26·8]; p<0·0001), mental diseases and disorders (23·0% [21·1-24·8]; p<0·0001), respiratory diseases (22·4% [21·2-23·6]; p<0·0001), and circulatory system disorders (15·8% [14·7-16·9]; p<0·0001). Our results provide statistically significant evidence of the association between heatwaves and increased hospitalisations across all age groups and for all major causes of disease. To our knowledge, this is the first study to estimate the full extent of heatwaves' impact on hospitalisations using the EHF index over a 19-year period, encompassing an entire country, and spanning 25 disease categories during multiple heatwave events. Our data offer crucial information to guide policy makers in effectively and efficiently allocating resources to address the profound health-care consequences resulting from climate change. None.
Climate change is a major threat to the health of people worldwide. The health care system deals with the immediate health-related effects of climate change and, at the same time, is a major emitter of greenhouse gas. This study aimed to investigate (a) the awareness and perception of climate change among family medicine residency program directors, and (b) the state of climate change education in family medicine residency programs. The Council of Academic Family Medicine Educational Research Alliance (CERA) conducted a cross-sectional survey of family medicine program directors in the United States in April 2023. We analyzed anonymous data using descriptive and bivariate statistics. We analyzed responses from 284 family medicine residency program directors (response rate 41.1%). Of these, 56.8% indicated not having any lectures/seminars dedicated to climate change and no plans to introduce such curricula, with considerably higher rates in East South Central United States (92.8%). A majority considered principles of climate change, carbon emissions emitted by the health care system, and discussion of climate change with patients of lesser importance for residency program education. While climate change is an emerging topic affecting health and the provision of health care worldwide, our study suggests that many family medicine residency programs do not teach about it. Family medicine trainees may not always receive sufficient education about the risks posed to their patients by climate change, which could lead to them having limited knowledge and skills when discussing this topic with their patients in the future.
Climate change is the greatest threat to human health. Cardiothoracic patients suffer direct consequences from poor environmental health and we have a vested interest to address this in our practice. As leaders of complex high-end surgery, we are uniquely positioned to effect practical and immediate changes to significantly pare down emissions within the operating theatre, outside the operating theatre and beyond the confines of the hospital. We aim to spotlight this pressing issue, take stock of our current efforts, and encourage fellow specialists to drive this agenda. Sustainability in healthcare needs to be formalized as part of the core curriculum in surgical training and awareness generated via carbon audits and life cycle analyses. Practical actions such as reducing unnecessary equipment usage, choosing reusable equipment over single use disposables, judicious use of investigations rooted in clinical reasoning and sharing of resources across services and health systems help reduce the carbon output of our specialty. The 'Triple Bottom Line' serves as a good template to calibrate efforts that balance quality against environmental costs. More can be done to advocate for and find solutions for sustainable healthcare with cardiothoracic surgery.
Climate change is the single biggest health threat facing humanity, with direct and indirect impacts on mental health, yet health impacts of climate change remain notably absent from most medical school curricula. We describe a timely interactive educational session on climate change and mental health that was implemented and studied on a medical student clinical psychiatry rotation. We developed a 1-hour introductory session on the mental health impacts of climate change and potential solutions. The session was delivered to third-year medical students on their 4-week clinical psychiatry rotation and included pre- and postsession survey questions assessing their knowledge, comfort, and readiness regarding the topic. Seventy students participated in the session, with 49 students completing the pre- and postsession surveys, giving a response rate of 70%. The average score for the four Likert-scale questions on the survey increased from 2.7 presession to 3.9 postsession on a 5-point scale (1 = strongly disagree, 5 = strongly agree). All questions displayed statistically significant improvement. Qualitative analysis identified knowledge gained about the mental health impacts of climate change as the most important aspect of the session to students. The introductory session effectively filled an urgent need in medical education curricula regarding climate change's effects on human health. Overall, distribution of and improvement upon this timely teaching content can serve a valuable role in medical student education as the effects of climate change, particularly on mental health, continue to progress throughout the century.