Yoxas/statistical_literacy huggingface dataset:
Though the concept of burnout has been around for long, its significance is increasing nowadays owing to the demanding nature of jobs. The latest ICD-11 also provides a detailed description of Burnout syndrome. Physicians are at high risk for experiencing burnout and this becomes especially relevant in the ongoing COVID-19 pandemic. To determine the risk of burnout among medical faculty and its predictors, if any. This was a multicentric cross-sectional study that included medical faculty from four tertiary care government teaching hospitals in north India. A survey was conducted during the current COVID-19 pandemic to assess burnout using a structured online questionnaire based on Burnout Assessment Tool. The questionnaire also included relevant socio-demographic, professional, health, and lifestyle-related details. Descriptive statistics, Mann-Whitney U Test/Kruskal Wallis Test, and Kendall's tau-b Test were used for statistical analysis. A total of 244 medical faculty completed the survey. 27.87% were at risk of burnout, out of which 11.89% were at a very high risk of burnout. Dissatisfaction with the job and dissatisfaction with sleep (P < 0.01 for both) were associated with greater burnout scores and a greater risk of burnout. Faculty members are at high risk of burnout, regardless of sociodemographic and work-related factors.
Three early 20th-century attempts at unifying separate areas of biology, in particular development, genetics, physiology, and evolution, are compared in regard to their success and fruitfulness for further research: Jacques Loeb's reductionist project of unifying approaches by physico-chemical explanations; Richard Goldschmidt's anti-reductionist attempts to unify by integration; and Sewall Wright's combination of reductionist research and vision of hierarchical genetic systems. Loeb's program, demanding that all aspects of biology, including evolution, be studied by the methods of the experimental sciences, proved highly successful and indispensible for higher level investigations, even though evolutionary change and properties of biological systems up to now cannot be fully explained on the molecular level alone. Goldschmidt has been appraised as pioneer of physiological and developmental genetics and of a new evolutionary synthesis which transcended neo-Darwinism. However, this study concludes that his anti-reductionist attempts to integrate genetics, development and evolution have to be regarded as failures or dead ends. His grand speculations were based on the one hand on concepts and experimental systems that were too vague in order to stimulate further research, and on the other on experiments which in their core parts turned out not to be reproducible. In contrast, Sewall Wright, apart from being one of the architects of the neo-Darwinian synthesis of the 1930s, opened up new paths of testable quantitative developmental genetic investigations. He placed his research within a framework of logical reasoning, which resulted in the farsighted speculation that examinations of biological systems should be related to the regulation of hierarchical genetic subsystems, possibly providing a mechanism for development and evolution. I argue that his suggestion of basing the study of systems on clearly defined properties of the components has proved superior to Goldschmidt's approach of studying systems as a whole, and that attempts to integrate different fields at a too early stage may prove futile or worse.
Three indicators of early childhood undernutrition and associated factors are evaluated among under-5 children in five National Family Health Surveys in India spanning 1992 to 2021. Data for 533,495 children under 5 years of age (U-5) were analysed in the context of three commonly used indicators of early childhood undernutrition - wasting, stunting and underweight. In addition to descriptive and inferential statistics, binary logistic regression was used to estimate the effects of specific explanatory factors on the three indicators using adjusted odds ratios. Over the three-decade interval, stunting was reduced by 22.1% in boys and 20.9% in girls, followed by underweight, 19.3% in boys and 17.4% in girls; wasting, in contrast, was reduced to a considerably lesser extent, 2.8% in boys and 0.9% in girls. Demographic, maternal and socioeconomic factors were associated with the incidence of early childhood undernutrition, specifically among young mothers and those with less education in low-income families, and among children from Scheduled Tribes or Scheduled Castes. Stunting and underweight declined significantly over the past three decades while wasting changed negligibly. The disparity in the occurrence of early childhood undernutrition was apparent throughout socioeconomic categories and regions of India. The results highlight the need for special programs aimed at reducing waste among children and also the need for customized initiatives focused on the improvement of maternal education and wealth in addition to other ancillary factors related to regional variation.
Three years ago, addressing racial justice in the United States moved firmly into the mainstream. Following the murder of George Floyd, the ongoing struggle for social justice was again laid bare, and pledges to improve diversity, equity, and inclusion (DEI) began sprouting everywhere. Now, the pendulum is swinging back on these commitments. A backlash against DEI initiatives is rising across all sectors, especially at the state level. Last year's decision by the US Supreme Court to strike down the consideration of students' racial status in college admissions has emboldened many who oppose any advancement of DEI. Although there has been specific attention to higher education, other sectors have also been attacked. The retreat includes recent anti-DEI legislation that would affect structures, programs, practices, and curricula that aim to support success for all, including persons who have been historically excluded from or marginalized within science, technology, engineering, mathematics, and medicine (STEMM). Before this backlash worsens, DEI advocates, the scientific community, universities, and federal agencies need to collectively call out the dangers of setting aside DEI and come up with robust ways to demonstrate its value to society.
Three-dimensional (3-D) printing offers an innovative option to produce clinical simulators because of its low production costs and widespread availability. We aimed to develop a low-cost, 3-D printed knot-tying simulator that overcomes the barriers students face in self-directed skills development. Medical students completing a procedural residency preparation course (PRPC) completed a pre-survey with Likert scales and multiple choice questions to assess their perceptions of and barriers to self-directed knot-tying practice. Subsequently, a 3-D printed knot-tying simulator, which contains a progression of knot-tying challenges and a designated video curriculum, was designed. After utilising the simulator in a 1-hour, faculty-guided knot-tying session, PRPC students assessed the educational utility and usability of the simulator via a post-survey. The primary barriers students faced in engaging in self-directed knot-tying practice included limited accessibility to simulators and insufficient knowledge of knot-tying techniques. Many students (91.3%, n = 21) agreed that practicing with the simulator improved their knot-tying motor skills and was easy to use (100%, n = 23). Twenty-two (95.7%) students agreed that they would continue to use the simulator beyond the knot-tying session and PRPC. We demonstrate the educational utility and usability of a novel 3-D printed knot-tying simulator for medical education. Enabling students to engage in self-directed technical skills development is critical in developing surgical skills that can translate to clinical environments. Our simulator highlights the benefits of 3-D printers as an innovative, inexpensive option to improve the availability and accessibility to medical education tools.
Three-dimensional (3D) modeling is a recent, innovative approach to teaching anatomy. There is little literature, however, to suggest how 3D modeling is best used to teach students and whether or not students can gain the same level of understanding as they might use more traditional, hands-on, teaching methods. This study evaluated the use of a 3D modeling software in both a flipped classroom curriculum and as an active learning tool in comparison to traditional, physical model-based teaching. Pre- and post-course content-based assessments were used to evaluate students' learning. Our findings indicated no significant difference between standard and flipped classroom learning; however, the students who used 3D modeling software as an active learning tool significantly underperformed students in the standard group (F(2,1060) = 112.43, p < 0.0001). These findings suggest that these technologies may not yet be useful as a primary means of instruction. Possible explanations may include cognitive overload in navigating the system, intrinsic limitations of the software, or other factors. Further development and research of these technologies is necessary prior to their adoption into teaching practices in anatomy.
Thromboangiitis obliterans (TAO) is a vascular condition characterized by poor prognosis and an unclear etiology. This study employs Mendelian randomization (MR) to investigate the causal impact of circulating inflammatory proteins on TAO. In this MR analysis, summary statistics from a genome-wide association study meta-analysis of 91 inflammation-related proteins were integrated with independently sourced TAO data from the FinnGen consortium's R10 release. Methods such as inverse variance weighting, MR-Egger regression, weighted median approaches, MR-PRESSO, and multivariable MR (MVMR) analysis were utilized. The analysis indicated an association between higher levels of C-C motif chemokine 4 and a reduced risk of TAO, with an odds ratio (OR) of 0.44 (95% confidence interval [CI]: 0.29-0.67; p = 1.4 × 10-4; adjusted p = 0.013). Similarly, glial cell line-derived neurotrophic factor exhibited a suggestively protective effect against TAO (OR: 0.43, 95% CI: 0.22-0.81; p = 0.010; adjusted p = 0.218). Conversely, higher levels of C-C motif chemokine 23 were suggestively linked to an increased risk of TAO (OR: 1.88, 95% CI: 1.21-2.93; p = 0.005; adjusted p = 0.218). The sensitivity analysis and MVMR revealed no evidence of heterogeneity or pleiotropy. This study identifies C-C motif chemokine 4 and glial cell line-derived neurotrophic factor as potential protective biomarkers for TAO, whereas C-C motif chemokine 23 emerges as a suggestive risk marker. These findings elucidate potential causal relationships and highlight the significance of these proteins in the pathogenesis and prospective therapeutic strategies for TAO.
Thromboprophylaxis/anticoagulation treatment is often required in hospitalized COVID-19 patients. We aimed to estimate the prevalence of major bleeding events in hospitalized COVID-19 patients. This was a retrospective observational study including all COVID-19 hospitalized patients ≥18 years of age at one reference center in northern Italy. The crude prevalence (between February 2020-2022) of major bleeding events was estimated as the number of major bleeding episodes divided by patients at risk. Uni- and multivariable Cox models were built to assess factors potentially associated with major bleeding events. Twenty-nine (0.98%) out of 2,945 COVID-19 patients experienced a major bleeding event [prevalence of 0.55% (95%CI 0.37-0.79)], of which five were fatal. Patients who experienced a major bleeding event were older [78 years (72-84 IQR) vs. 67 years (55-78 IQR), p-value < 0.001] and more frequently exposed to anti-aggregating therapy (44.8% vs. 20.0%, p-value 0.002) when compared to those who did not. In the multivariable Cox model, age [per 1 year more AHR 1.05 (CI95% 1.02-1.09)] was independently associated with an increased risk of major bleeding events. A strict monitoring of older hospitalized COVID-19 patients is warranted due to the risk of major bleeding events.
Through a retrospective analysis of 1,203 cases of referral from primary healthcare units to a specialized quaternary vascular surgical service, the findings of this study revealed a high proportion of inappropriate referrals, which may represent a substantial subutilization of this highly complex service. Consequently, in this study, we aimed to evaluate 1,203 cases of referral to a quaternary vascular surgical service, in São Paulo, Brazil, over a 6-year period, to assess the appropriate need for referral; in addition to the prevalence of surgical indications. In this retrospective analysis, we reviewed the institutional records of participants referred from Basic Healthcare Units to a vascular surgical service inside the Brazilian Unified Health System, between May 2015 and December 2020. Demographic and clinical data were collected. The participants were stratified, as per the reason for referral to the vascular surgical service, previous imaging studies, and surgical treatment indications. Referral appropriateness and complementary examinations were evaluated for each disease cohort. Finally, the prevalence of cases requiring surgical treatment was defined as the outcome measure. Of the 1,203 referrals evaluated, venous disease was the main reason for referral (53%), followed by peripheral arterial disease (19.4%). A considerable proportion of participants had been referred without complementary imaging or after a long duration of undergoing an examination. Referrals were regarded as inappropriate in 517 (43%) cases. Of these, 32 cases (6.2%) had been referred to the vascular surgical service, as the incorrect specialty. The percentage of referred participants who ultimately underwent surgical treatment was 39.92%. Carotid (18%) and peripheral arterial diseases (18.4%) were correlated with a lower prevalence of surgical treatments. The rate of referral appropriateness to specialized vascular care from primary care settings was low. This may represent a subutilization of quaternary surgical services, with low rates of surgical treatment.
Through medicare, residents in Canada are entitled to medically necessary physician services without paying out of pocket, but still many people struggle to access primary care. We conducted a survey to explore people's experience with and priorities for primary care. We conducted an online, bilingual survey of adults in Canada in fall 2022. We distributed an anonymous link through diverse channels and a closed link to 122 053 people via a national public opinion firm. We weighted completed responses to mirror Canada's population and adjusted for sociodemographic characteristics using regression models. We analyzed 9279 completed surveys (5.9% response rate via closed link). More than one-fifth of respondents (21.8%) reported having no primary care clinician, and among those who did, 34.5% reported getting a same or next-day appointment for urgent issues. Of respondents, 89.4% expressed comfort seeing another team member if their doctor recommended it, but only 35.9%, 9.5%, and 12.4% reported that their practice had a nurse, social worker, or pharmacist, respectively. The primary care attribute that mattered most was having a clinician who "knows me as a person and considers all the factors that affect my health." After we adjusted for respondent characteristics, people in Quebec, the Atlantic region, and British Columbia had lower odds of reporting a primary care clinician than people in Ontario (adjusted odds ratio 0.30, 0.33, and 0.39, respectively; p < 0.001). We also observed large provincial variations in timely access, interprofessional care, and walk-in clinic use. More than 1 in 5 respondents did not have access to primary care, with large variation by province. Reforms should strive to expand access to relationship-based, longitudinal care in a team setting.
Throughout the process of evolution, DNA undergoes the accumulation of distinct mutations, which can often result in highly organized patterns that serve various essential biological functions. These patterns encompass various genomic elements and provide valuable insights into the regulatory and functional aspects of DNA. The physicochemical, mechanical, thermodynamic, and structural properties of DNA sequences play a crucial role in the formation of specific patterns. These properties contribute to the three-dimensional structure of DNA and influence their interactions with proteins, regulatory elements, and other molecules. In this study, we introduce DNASCANNER v2, an advanced version of our previously published algorithm DNASCANNER for analyzing DNA properties. The current tool is built using the FLASK framework in Python language. Featuring a user-friendly interface tailored for nonspecialized researchers, it offers an extensive analysis of 158 DNA properties, including mono/di/trinucleotide frequencies, structural, physicochemical, thermodynamics, and mechanical properties of DNA sequences. The tool provides downloadable results and offers interactive plots for easy interpretation and comparison between different features. We also demonstrate the utility of DNASCANNER v2 in analyzing splice-site junctions, casposon insertion sequences, and transposon insertion sites (TIS) within the bacterial and human genomes, respectively. We also developed a deep learning module for the prediction of potential TIS in a given nucleotide sequence. In the future, we aim to optimize the performance of this prediction model through extensive training on larger data sets.
Throughout their education and when reading the scientific literature, students may get the impression that there is a unique and correct analysis strategy for every data analysis task and that this analysis strategy will always yield a significant and noteworthy result. This expectation conflicts with a growing realization that there is a multiplicity of possible analysis strategies in empirical research, which will lead to overoptimism and nonreplicable research findings if it is combined with result-dependent selective reporting. Here, we argue that students are often ill-equipped for real-world data analysis tasks and unprepared for the dangers of selectively reporting the most promising results. We present a seminar course intended for advanced undergraduates and beginning graduate students of data analysis fields such as statistics, data science, or bioinformatics that aims to increase the awareness of uncertain choices in the analysis of empirical data and present ways to deal with these choices through theoretical modules and practical hands-on sessions.
Throughout their years of study, undergraduate medical students are expected to gain broad comprehension of all medical specialties. After acquiring an undergraduate degree, the decision to choose a specialty is critical for every student's life as it determines the rest of their career path. This study aims to determine factors influencing medical students' choices between various specialties in different countries in the Middle East and North Africa. A cross-sectional study was conducted in March 2022 targeting medical students from the Middle East and North African countries. A questionnaire was used to collect data from the students, which consisted of four sections. Ethical approval was obtained from the Unit of Biomedical Ethics Research Committee at King Abdulaziz University. Participation was voluntary and anonymous. For statistical analysis, IBM Statistical Package for the Social Sciences (SPSS) Statistics for Windows (Version 21.0; IBM Corp., Armonk, NY, USA) was used. Categorical variables were presented using numbers, associated frequencies, and percentages (%). Categorical variables were correlated using the Chi-square test. One-way analysis of variance (ANOVA) test was used to compare the means of three or more independent groups. Logistic regression, odds ratio (OR), and 95% confidence interval (CI) were used to identify the factors associated with specialty selection. P < 0.05 was considered statistically significant. A total of 1109 students responded to the questionnaire. Participants' gender characteristics showed that there were 672 (60.6%) females and 437 (39.4%) males. Among them, 127 were in their second year, 180 in their third year, 362 in their fourth year, 85 in their fifth year, 37 in their sixth year, and 108 were interns. The median age of the participants was 22.0 years (mean = 22.09 ± 2.891). There were 473 (42.6%) students who were undecided about their future medical specialty. Income (759, 68.4%) and career prospects (723, 65.2%) were the most preferred factors in their decision to pursue a future medical specialization. In conclusion, medical and surgical specialties have been identified as the preferred future career path. It was discovered that student's decision-making is influenced by income, career prospects, and the sense of competency needed to choose a future medical specialty. Future research would be more revealing.
Thus far, there is no instrument available measuring COVID-19 related health literacy of healthcare professionals. Therefore, the aim of this study was to develop an instrument assessing COVID-19 related health literacy in healthcare professionals (HL-COV-HP) and evaluate its psychometric properties. An exploratory factor analysis, a confirmatory factor analysis, and descriptive analyses were conducted using data from n = 965 healthcare professionals. Health literacy related to COVID-19 was measured with 12 items, which were adapted from the validated HLS-EU-Q16 instrument measuring general health literacy. Exploratory factor analysis demonstrated that 12 items loaded on one component. After removing one item due to its high standardized residual covariance, the confirmatory factor analysis of a one-factor model with 11 items showed satisfactory model fit (χ2 = 199.340, df = 41, χ2/df = 4.862, p < 0.001, RMSEA = 0.063, CFI = 0.963 and TLI = 0.951). The HL-COV-HP instrument showed good internal consistency (Cronbach's alpha 0.87) and acceptable construct reliability. The HL-COV-HP is a reliable, valid, and feasible instrument to assess the COVID-19 related health literacy in healthcare professionals. It can be used in hospitals or other healt hcare settings to assess the motivation and ability of healthcare professionals to find, understand, evaluate, and use COVID-19 information.
Thyroid cancer has increased sharply in China in recent years. This change may be attributable to multiple factors. The current study aimed to explore the environmental and social determinants of thyroid cancer. Incidence data from 487 cancer registries in 2016 were collected. Eight factors were considered, namely, air pollution, green space, ambient temperature, ultraviolet radiation, altitude, economic status, healthcare, and education level. A geographical detector (measured by q statistic) was used to evaluate the independent and interactive impact of the eight factors on thyroid cancer. Social factors, especially economic status and healthcare level (q > 0.2), were most influential on thyroid cancer.Ultraviolet radiation, air pollution, and temperature had more impact on women, while green space and altitude had more influence on men. Enhanced effects were observed when two factors interacted. Spatially, economic status, healthcare, and air pollution were positively associated with thyroid cancer, while education level, green space, and altitude were negatively related to thyroid cancer. The socio-environmental determinants and spatial heterogeneity of thyroid cancer were observed in this study. These findings may improve our understanding of thyroid cancer epidemiology and help guide public health interventions.