Yoxas/statistical_literacy huggingface dataset:
ChatGPT is an artificial intelligence language model, which uses natural language processing to simulate human conversation. It has seen a wide range of applications including healthcare education, research and clinical practice. This study evaluated the accuracy of ChatGPT in providing accurate and quality information to answer questions on myopia. A series of 11 questions (nine categories of general summary, cause, symptom, onset, prevention, complication, natural history, treatment and prognosis) were generated for this cross-sectional study. Each question was entered five times into fresh ChatGPT sessions (free from influence of prior questions). The responses were evaluated by a five-member team of optometry teaching and research staff. The evaluators individually rated the accuracy and quality of responses on a Likert scale, where a higher score indicated greater quality of information (1: very poor; 2: poor; 3: acceptable; 4: good; 5: very good). Median scores for each question were estimated and compared between evaluators. Agreement between the five evaluators and the reliability statistics of the questions were estimated. Of the 11 questions on myopia, ChatGPT provided good quality information (median scores: 4.0) for 10 questions and acceptable responses (median scores: 3.0) for one question. Out of 275 responses in total, 66 (24%) were rated very good, 134 (49%) were rated good, whereas 60 (22%) were rated acceptable, 10 (3.6%) were rated poor and 5 (1.8%) were rated very poor. Cronbach's α of 0.807 indicated good level of agreement between test items. Evaluators' ratings demonstrated 'slight agreement' (Fleiss's κ, 0.005) with a significant difference in scoring among the evaluators (Kruskal-Wallis test, p < 0.001). Overall, ChatGPT generated good quality information to answer questions on myopia. Although ChatGPT shows great potential in rapidly providing information on myopia, the presence of inaccurate responses demonstrates that further evaluation and awareness concerning its limitations are crucial to avoid potential misinterpretation.
ChatGPT is an artificial intelligence platform available to patients seeking medical advice. Traditionally, urology patients consulted official provider-created materials, particularly the Urology Care Foundation™ (UCF). Today, men increasingly go online due to the rising costs of health care and the stigma surrounding sexual health. Online health information is largely inaccessible to laypersons as it exceeds the recommended American sixth to eighth grade reading level. We conducted a comparative assessment of patient education materials generated by ChatGPT vs UCF regarding men's health conditions. All 6 UCF men's health resources were identified. ChatGPT responses were generated using patient questions obtained from UCF. Adjusted ChatGPT responses were generated by prompting, "Explain it to me like I am in sixth grade." Textual analysis was performed using sentence, word, syllable, and complex word count. Six validated formulae were used for readability analysis. Two physicians independently scored responses for accuracy, comprehensiveness, and understandability. Statistical analysis involved Wilcoxon matched-pairs test. ChatGPT responses were longer and more complex. Both UCF and ChatGPT failed official readability standards, although ChatGPT performed significantly worse across all 6 topics (all P < .001). Conversely, adjusted ChatGPT readability typically surpassed UCF, even meeting the recommended level for 2 topics. Qualitatively, UCF and ChatGPT had comparable accuracy, although ChatGPT had better comprehensiveness and worse understandability. When comparing readability, ChatGPT-generated education is less accessible than provider-written content, although neither meets the recommended level. Our analysis indicates that specific artificial intelligence prompts can simplify educational materials to meet national standards and accommodate individual literacy.
CHD is associated with considerable burden of care. Up to one-third of babies born with CHD require surgery or intervention during the first year of life with an associated increased risk of surgical site infection. Pediatric wound care is informed largely by adult data, with no national or international guidelines available. To examine pediatric cardiac surgical wound care practices reported by healthcare professionals Australia and New Zealand-wide. A bi-national cross-sectional survey exploring pre-, intra- and post-operative wound practices was distributed using Exponential Non-Discriminative Snowball Sampling. Data were subject to descriptive analysis using SPSS Statistics 22.0. Sixty-eight surveys representing all Australian and New Zealand pediatric cardiac surgical services were analyzed. Most respondents were experienced nurses. Pre-operative care varied greatly in practice and pharmaceutical agents used. Little consistency was reported for intra- and post-operative wound care. Nursing and medical staff shared responsibility for wound care. Wound photography was widely used, but only uploaded to electronic medical records by some. These results highlight that wound care management is largely informed at an institutional level. The many practices reported are likely to reflect a range of factors including cardiac condition complexity, surgery, prematurity, and the presence of scar tissue. The importance of a research and training program, which is multimodal, available, and reflective, is highlighted. These findings call for the establishment of a nurse-led program of research and education. The resultant suite of cardiac wound strategies could offer an effective and consistent pathway forward.
Checklists have been shown to improve performance of complex, error-prone processes. To develop a checklist with potential to reduce the likelihood of diagnostic error for patients presenting to the Emergency Room (ER) with undiagnosed conditions. Participants included 15 staff ER physicians working in two large academic centers. A rapid cycle design and evaluation process was used to develop a general checklist for high-risk situations vulnerable to diagnostic error. Physicians used the general checklists and a set of symptom-specific checklists for a period of 2 months. We conducted a mixed methods evaluation that included interviews regarding user perceptions and quantitative assessment of resource utilization before and after checklist use. A general checklist was developed iteratively by obtaining feedback from users and subject matter experts, and was trialed along with a set of specific checklists in the ER. Both the general and the symptom-specific checklists were judged to be helpful, with a slight preference for using symptom-specific lists. Checklist use commonly prompted consideration of additional diagnostic possibilities, changed the working diagnosis in approximately 10% of cases, and anecdotally was thought to be helpful in avoiding diagnostic errors. Checklist use was prompted by a variety of different factors, not just diagnostic uncertainty. None of the physicians used the checklists in collaboration with the patient, despite being encouraged to do so. Checklist use did not prompt large changes in test ordering or consultation. In the ER setting, checklists for diagnosis are helpful in considering additional diagnostic possibilities, thus having potential to prevent diagnostic errors. Inconsistent usage and using the checklists privately, instead of with the patient, are factors that may detract from obtaining maximum benefit. Further research is needed to optimize checklists for use in the ER, determine how to increase usage, to evaluate the impact of checklist utilization on error rates and patient outcomes, to determine how checklist usage affects test ordering and consultation, and to compare checklists generally with other approaches to reduce diagnostic error.
Chemical reasoning based on ligand-field theory suggests that homoleptic cyano complexes should exhibit low-spin configurations, particularly when the coordination sphere is nearly saturated. Recently, the well-known chromium hexacyano complex anion [Cr(CN)6](4-) was shown to lose cyanide to afford [Cr(CN)5](3-) in the absence of coordinating cations. Furthermore, (NEt 4)3[Cr(CN)5] was found to be in a high-spin (S=2) ground state, which challenges the common notion that cyanide is a strong field ligand and should always enforce low-spin configurations. Using density functional theory coupled to a continuum solvation model, we examined both the instability of the hexacyanochromate(II) anion and the relative energies of the different spin states of the pentacyanochromate(II) anion. By making direct comparisons to the analogous Fe (II) complex, we found that cyanide electronically behaves as a strong-field ligand for both metals because the orbital interaction is energetically more favorable in the low-spin configuration than in the corresponding high-spin configuration. The Coulombic repulsion between the anionic cyanide ligands, however, dominates the overall energetics and ultimately gives preference to the high-spin complex, where the ligand-ligand separation is larger. Our calculations highlight that for a quantitative understanding of spin-state energetic ordering in a transition metal complex, ligand-ligand electrostatic interactions must be taken into account in addition to classical ligand-field arguments based on M-L orbital interaction energies.
Chemistry is a basis for almost all science and engineering disciplines, and needs to be well mastered by both researchers and students. But in the eyes of many Chinese students and their parents, chemistry is not an initial choice because first, it seems to be less important than mathematics and physics, and second, chemistry-majored students usually cannot get high salaries after graduation, and may encounter safety risks when conducting chemical experiments. How can we encourage students in learning chemistry? How can we improve higher chemistry education so that students can truly grasp the basic chemical principles, increase their chemical skills and apply the learnt knowledge in their future careers? Here in this panel discussion, six experts in higher chemistry education try to give their observations and opinions on these issues. Yadong Li President at Anhui Normal University; inorganic chemist. Yan Li Professor at College of Chemistry and Molecular Engineering, Peking University. Jian Pei Professor at College of Chemistry and Molecular Engineering, Peking University. Zhenfeng Xi Professor at College of Chemistry and Molecular Engineering, Peking University. Song Gao (Chair) President at Sun Yat-sen University; inorganic chemist. Lan-Sun Zheng (Chair) Professor at College of Chemistry and Chemical Engineering, Xiamen University.
Chess is a game that delicately weaves analytical thinking around artistic experience, yet recent conversions of STEM (Science-Technology-Engineering-Mathematics) to STEAM (Science-Technology-Engineering-Art-Mathematics) have omitted adding chess as an elementary coursework to K-12 and higher education curricula. Chess, as per arguments presented in this essay, can be considered as a language and a tool for furthering the development of artistic skills among scientists and analytical, pattern-recognition skills among artists. It can also serve as a missing link between science and art in STEAM curricula thanks to its finding itself halfway between the two. A handful of analogies are drawn here from chess, illustrated sporadically with positions from real-life chess games and converted to lessons in creativity for students in natural sciences. The discussion centered around these analogies is reinforced by a literature review of studies conducted over the past 80 years to assess the effect of exposing students to lessons in chess on their learning in distant domains. Overall, great benefits can emerge from complementing science education with chess and it is hoped that chess will become an integral part of basic education in primary schools and universities worldwide in the near future.
Chest X-ray imaging based abnormality localization, essential in diagnosing various diseases, faces significant clinical challenges due to complex interpretations and the growing workload of radiologists. While recent advances in deep learning offer promising solutions, there is still a critical issue of domain inconsistency in cross-domain transfer learning, which hampers the efficiency and accuracy of diagnostic processes. This study aims to address the domain inconsistency problem and improve autonomic abnormality localization performance of heterogeneous chest X-ray image analysis, particularly in detecting abnormalities, by developing a self-supervised learning strategy called "BarlwoTwins-CXR". We utilized two publicly available datasets: the NIH Chest X-ray Dataset and the VinDr-CXR. The BarlowTwins-CXR approach was conducted in a two-stage training process. Initially, self-supervised pre-training was performed using an adjusted Barlow Twins algorithm on the NIH dataset with a Resnet50 backbone pre-trained on ImageNet. This was followed by supervised fine-tuning on the VinDr-CXR dataset using Faster R-CNN with Feature Pyramid Network (FPN). The study employed mean Average Precision (mAP) at an Intersection over Union (IoU) of 50% and Area Under the Curve (AUC) for performance evaluation. Our experiments showed a significant improvement in model performance with BarlowTwins-CXR. The approach achieved a 3% increase in mAP50 accuracy compared to traditional ImageNet pre-trained models. In addition, the Ablation CAM method revealed enhanced precision in localizing chest abnormalities. The study involved 112,120 images from the NIH dataset and 18,000 images from the VinDr-CXR dataset, indicating robust training and testing samples. BarlowTwins-CXR significantly enhances the efficiency and accuracy of chest X-ray image-based abnormality localization, outperforming traditional transfer learning methods and effectively overcoming domain inconsistency in cross-domain scenarios. Our experiment results demonstrate the potential of using self-supervised learning to improve the generalizability of models in medical settings with limited amounts of heterogeneous data. This approach can be instrumental in aiding radiologists, particularly in high-workload environments, offering a promising direction for future AI-driven healthcare solutions.
Chickenpox is a highly contagious disease, but one that can be effectively prevented by vaccination. In Poland, vaccination against the disease is recommended, paid for, and chickenpox remains very common. In recent years, starting in 2002, the upward trend in the incidence of chickenpox has continued, except in 2020. In 2020, there was a decrease in incidence. The aim of this study was to evaluate epidemiological indicators of chickenpox in Poland in 2021 compared to previous years, taking into account the impact of the COVID-19 pandemic. The evaluation of the epidemiological situation of chickenpox in Poland in 2021 was carried out based on the results of the analysis of aggregate data published in the annual bulletins: "Infectious Diseases and Poisons in Poland in 2021" and "Immunization in Poland in 2021". In addition, recommendations from the 2021 Immunization Program are described. 57,669 cases of chickenpox were registered in Poland in 2021, 42% less than in the previous year. The incidence of chickenpox in 2021 was 151.1 per 100,000, which was lower than in 2020, as well as in 2019, when it was 470.6/100,000. The lowest incidence was registered in Lower Silesia Province - 99.2/100,000, while the highest in Silesia Province - 215.8/100,000. The highest incidence was in children aged 0-4 years (18,028). The incidence of chickenpox in males was higher than in females (159.5 vs. 143.3/100 thousand), and urban residents were higher than rural residents (152.1 vs. 149.6/100 thousand). Hospitalization due to chickenpox in 2021 included 210 people, which accounted for 0.36% of the total number of registered cases. In 2021, there was a decrease in the number of chickenpox cases compared to the previous year. The lower incidence may have been the result of a decrease in the transmission of the chickenpox virus, the decrease in the number of cases has to do with, among other things, the restrictions put in place in connection with the COVID-19 pandemic, which result in, among other things, reduced human contact, the wearing of masks and increased social distance.
Chikungunya (CHIK) emerged in Brazil in 2014 and since then several epidemics have been observed. This study aims to describe the spatial, social and demographic characteristics of individuals affected by CHIK in Espírito Santo state. A cross-sectional study was performed using data from individuals with a confirmed diagnosis of CHIK in Espírito Santo state, Brazil, from 2018 to 2020. Monthly incidence was calculated and annual spatial distribution maps were constructed. Statistical analysis using the χ2 test identified associations between disease occurrence and sociodemographic variables. In the period and area analysed, a CHIK epidemic occurred in 2020, with an incidence of 219.8 cases per 100 000 inhabitants. The southern and central regions of Espirito Santo state harboured a risk five times greater than the others in the epidemic region. Females (odds ratio [OR] 1.65 [95% confidence interval {CI} 1.58 to 1.72]), black people (OR 1.22 [95% CI 1.13 to 1.33]), individuals with ≤11 y of education (OR 1.48 [95% CI 1.37 to 1.61]) and the elderly (OR 7.49 [95% CI 6.53 to 8.59]) had a greater risk for the disease. CHIK stands as an emerging public health problem in Brazil since its introduction in 2014. Espírito Santo suffered a substantial epidemic in 2020, possibly due to outbreaks in neighbouring states. The population at risk should be prioritized in healthcare, considering the morbidity potential of the disease.
Child abuse and neglect have been associated with cognitive deficits, among other effects on child development. This study explores the prediction that child abuse and neglect has an impact on Stanford-Binet Intelligence Scales 5th Edition (SB5) IQ scores, in relation to gender, age and type of abuse experienced. 300 children with experiences of abuse and neglect were included in the study, comprising 100 sexually abused, 100 physically abused and 100 neglected children. Overall, all scores on the SB5 were found to be significantly lower than the minimum average scores on the test. Verbal IQ (VIQ) scores were likewise found to be significantly lower than Nonverbal IQ (NVIQ) scores. Full Scale IQ (FSIQ) scores did not reveal heterogeneity when gender was factored in. Age and type of abuse (with a moderate effect size) on the other hand, showed significant differences among groups. Statistical analyses of SB5 Factor Index Scores revealed that abused children, in general, have significantly higher Visual-Spatial Processing (VS) and Quantitative Reasoning (QR) scores and lower scores in Knowledge (KN). There was a large effect size found in such an analysis. Age (with a large effect size), gender and type of abuse (with moderate effect sizes) give significant variations to this obtained profile.
Child abuse and neglect have several short- and long-term consequences for the victim. Though Deaf and Hard-of-Hearing children are at higher risk of being maltreated as compared to hearing children, little research in Saudi Arabia has focused on this population. To determine the prevalence of child maltreatment and to examine its association with depression and anxiety among a sample of Deaf and Hard-of-Hearing students in Saudi Arabia, recruited from secondary schools in southern Saudi Arabia. The sample included 186 Deaf and Hard-of-Hearing students aged 14-17 years (M = 15.7 years; SD = 3.41 years). Data were collected using the Child Abuse Self-Report Scale, Center for Epidemiological Studies Depression Scale for Children, and Generalized Anxiety Disorder Questionnaire. Bivariate and Linear regression analyses were conducted using SPSS 20. About 47.3% of the students were exposed severe to very severe child maltreatment. The severity of maltreatment varied based on parents' educational and income level, number of children in the family, the Deaf and Hard-of-Hearing student's gender, and parents' hearing status. Linear regression analysis indicated that child maltreatment was a significant predictor of depression and anxiety in this sample. Considering the socio-demographic factors influencing the prevalence of maltreatment in the present study, it seems important to work with parents of Deaf and Hard-of-Hearing children to improve their skills in rearing a child with special needs. Addressing the social stigma and social barriers experienced by DHH individuals through familial, institutional, and community interventions may be a first step toward long-term prevention of maltreatment among DHH children.
Child forensic interviewers have expressed concerns regarding the quality of interpreter-mediated child forensic interviews. However, research on interpreters' perspectives on these interviews is scarce and specialized education for interpreters limited. This mixed-methods study aimed to explore interpreters' experiences and knowledge of interpreting child forensic interviews. A total of 130 Swedish interpreters with different authorization statuses responded to a digital survey about interpreting child forensic interviews. Qualitative data were analyzed with reflexive thematic analysis and content analysis, and quantitative data with descriptive and inferential statistics. Interpreters reported challenges concerning children's limited language skills, the emotional effects of interpreting child forensic interviews, the limited access to information before interviews, and the complex balance between following interpreters' ethical guidelines and adjusting for situational demands. Regarding practical conditions, interpreters preferred interpreting in person instead of via telephone. Interpreters' general knowledge of child forensic interviewing did not differ between interpreters with different authorization statuses (F(2,108) = 0.80, ω2 = -0.002, p = .45), except from views on using leading questions (H(2) = 17.34, η2 = 0.14, p < .001) and whether interpreters may clarify terms to child interviewees (H(2) = 8.02, η2 = 0.06, p = .02). It is crucial to consider interpreters' perspectives when striving to improve the quality of interpreter-mediated child forensic interviews. Interpreters should be provided sufficient information to prepare and assess their suitability. Interpreters should also be offered education in interpreting child forensic interviews and given appropriate service structures to support their wellbeing.
Child injuries significantly impact health and development, shaping the nation's future. With proper knowledge, parents or primary caregivers can effectively prevent, address, and treat these predictable injuries. Face-to-face interviews were conducted with 373 parents or primary caregivers of children under 14 years old in four randomly selected urban slum areas in Malwani, Mumbai Suburban District. Only 30% of respondents had basic first aid knowledge, and merely 10% were aware of unintentional injuries, correlating significantly with parental literacy levels. However, most respondents demonstrated appropriate responses. Parental or primary caregiver knowledge and response play a critical role in mitigating unintentional child injuries. Increasing awareness among parents and primary caregivers about injuries, their impact on child development and first aid is imperative.