Yoxas/statistical_literacy huggingface dataset:
The ongoing coronavirus disease 2019 (COVID-19) pandemic continues to have a significant impact. Pregnant women are particularly vulnerable to its effects, which may increase their anxiety levels. This study aims to investigate anxiety levels in pregnant women during the COVID-19 pandemic in Thailand and to identify factors predicting such anxiety. The researchers collected data through an online questionnaire from November 2021 to May 2022. The sample included 404 pregnant women. The questionnaire consisted of personal information, health literacy related to COVID-19, social support, and anxiety related to COVID-19. The content validity of the questionnaire were verified by three experts, with content validity indices of 0.87, 0.80, and 0.87 for each domain, respectively. The reliability of the questionnaire were 0.96 for health literacy, 0.95 for social support, and 0.96 for anxiety. Moreover, in-depth telephone interviews were also conducted with pregnant women. The data were analyzed using descriptive statistics, stepwise multiple regression, and content analysis. Group of 404 pregnant women were studied, and the results showed that pregnant women had a high level of health literacy regarding COVID-19 and pregnancy (mean = 96.36, SD = 14.23) and social support level on a high level (mean = 83.99, SD = 11.34). Most of them were concerned about anxiety related to COVID-19 infection and pregnancy on a moderate level (mean = 47.78, SD = 11.49). The factors predicting the anxiety of pregnant women during the COVID-19 outbreak in Thailand included health literacy related to COVID-19 (β = 0.468) and social support (β = 0.283), with a prediction rate of 32.80% (R2 = 0.328) with statistical significance (p < 0.05). This study revealed the anxiety level of pregnant women during the COVID-19 outbreak in Thailand, which was moderate. Health literacy about COVID-19 and social support can predict the anxiety level of pregnant women.
The ongoing COVID-19 pandemic has highlighted the role of informed decision-making in times of crisis and the need for equipping teachers with the ability to address socioscientific issues in the classroom. In this study, we examine the features of socioscientific reasoning found in preservice elementary teachers' group discussions on the issue of school reopening during the pandemic. Using socioscientific reasoning and perspective taking as theoretical lenses, we analyzed how the participants constructed and justified arguments about the issue from the perspectives of three stakeholders the Minister of Education, a teacher, and a parent. The analysis revealed the participants' tendency to reach a premature decision and then cherry-pick evidence supporting the predetermined conclusion. As they examined relevant evidence, they often specified their initial claims by adding conditions to make it less objectionable and more defensible. We also illustrate how they used two different types of evidence, mechanistic and epidemiological, to support their claims about school reopening, and how perspective taking influenced their reasoning processes. Based on these findings, we discuss the potential of the perspective-based approach for supporting elementary teachers' decision-making about socioscientific issues.
The online channel has affected many facets of an individual's identity, commercial, social policy, and culture, among others. It implies that discovering the topics on which these brief writings are focused, as well as examining the qualities of these short texts is critical. Another key issue that has been identified is the evaluation of newly discovered topics in terms of topic quality, which includes topic separation and coherence. A topic modeling method has been shown to be an outstanding aid in the linguistic interpretation of quite tiny texts. Based on the underlying strategy, topic models are divided into two categories: probabilistic methods and non-probabilistic methods. In this research, short texts are analyzed using topic models, including latent Dirichlet allocation (LDA) for probabilistic topic modeling and non-negative matrix factorization (NMF) for non-probabilistic topic modeling. A novel approach for topic evaluation is used, such as clustering methods and silhouette analysis on both models, to investigate performance in terms of quality. The experiment results indicate that the proposed evaluation method outperforms on both LDA and NMF.
The online proliferation of COVID-19 misinformation led to adverse health and societal consequences. This study investigated possible differences in COVID-19 headline accuracy discernment and online sharing of COVID-19 misinformation between older and younger adults, as well as the role of individual differences in global cognition, health literacy and verbal IQ. Fifty-two younger (18-35 years old) and fifty older adults (age 50 and older) completed a neurocognitive battery, health literacy and numeracy measures, and self-report questionnaires via telephone. Participants also completed a social media headline-sharing experiment (Pennycook et al., Psychological science, 31(7), 770-780, 2020) in which they were presented with true and false COVID-19 headlines about which they indicated: 1) the likelihood that they would share the story on social media; and 2) the factual accuracy of the story. A repeated measures multivariate analysis of variance controlling for gender and race/ethnicity showed no effects of age (p = .099) but a significant interaction between actual COVID-19 headline accuracy and the likelihood of sharing (p < .001), such that accuracy was more strongly related to sharing false headlines (r = -.64) versus true headlines (r = -.43). Moreover, a higher likelihood of sharing false COVID-19 headlines was associated with lower verbal IQ and numeracy skills in older adults (rs = -.51--.40) and with lower verbal IQ, numeracy, and global cognition in younger adults (rs = -.66--.60). Findings indicate that headline accuracy judgements, numeracy, and verbal IQ are important contributors to sharing COVID-19 misinformation in both older and younger adults. Future work might examine the benefits of psychoeducation for improving health and science literacy for COVID-19. The online version contains supplementary material available at 10.1007/s12144-023-04464-w.
The onset of the COVID-19 pandemic and associated long-term shifts to virtual instruction among most US schools presented notable challenges among education researchers. Ongoing projects conducted in school settings experienced sudden losses of access to teacher and student participants, in many cases leading to severe interruptions to data collection efforts. Perhaps most notably, upon returns to in-person instruction in the 2021/22 academic year most schools instigated strict policies limiting the number of non-school personnel who could enter school buildings, including researchers conducting in-person data collections. As such, many researchers had to find alternative means to gather data. In this paper, we offer a new protocol that we created in response to these challenges that allows for the secure and fully remote collection of video data in school settings. This new protocol not only addressed the immediate needs of the focal study but also addresses some of the most notable barriers to collecting classroom video data in the field of education research at large. In this paper, we describe the initial development and application of this protocol among a local study of elementary teachers, as well as the scaling of this protocol in a study of elementary teachers in multiple states. It is our hope that this protocol can expand education researchers', practitioners', and policymakers' access to classroom video data.
The onus on the average person is greater than ever before to make sense of large amounts of readily accessible quantitative information, but the ability and confidence to do so are frequently lacking. Many people lack practical mathematical skills that are essential for evaluating risks, probabilities and numerical outcomes such as survival rates for medical treatments, income from retirement savings plans or monetary damages in civil trials. In this Review, we integrate research on objective and subjective numeracy, focusing on cognitive and metacognitive factors that distort human perceptions and foment systematic biases in judgement and decision making. Paradoxically, an important implication of this research is that a literal focus on objective numbers and mechanical number crunching is misguided. Numbers can be a matter of life and death but a person who uses rote strategies (verbatim representations) cannot take advantage of the information contained in the numbers because 'rote' strategies are, by definition, processing without meaning. Verbatim representations (verbatim is only surface form, not meaning) treat numbers as data as opposed to information. We highlight a contrasting approach of gist extraction: organizing numbers meaningfully, interpreting them qualitatively and making meaningful inferences about them. Efforts to improve numerical cognition and its practical applications can benefit from emphasizing the qualitative meaning of numbers in context - the gist - building on the strengths of humans as intuitive mathematicians. Thus, we conclude by reviewing evidence that gist training facilitates transfer to new contexts and, because it is more durable, longer-lasting improvements in decision making.
The operating room is a demanding and time-constrained setting, in comparison to primary care settings, where perioperative medication administration is more complicated and there is a high risk that the patient will experience a medication error. Without consulting the pharmacist or seeking assistance from other staff members, anesthesia clinicians prepare, deliver, and monitor strong anesthetic drugs. The purpose of this study was to determine the Incidence and root causes of medication errors by anesthetists in Amhara region, Ethiopia. A multi-center cross sectional web-based survey study was conducted from October 1 to November 30, 2022, across eight referral and teaching hospitals of Amhara region. A self-administered semi structured questionnaire was distributed using survey planet. Data analysis was conducted using SPSS version 20. Descriptive statistics were computed and binary logistic regression was used for data analysis. A p-value < 0.05 was considered statistically significant. The study included 108 anesthetists in total, yielding a response rate of 42.35%. Out of 104 anesthetists, Majority of participants (82.7%) were male. During their clinical practice, more than half (64.4%) of participants experienced atleast one drug administration error. 39 (37.50%) of the respondents revealed that they experienced more medication errors while on night shifts. Anesthetists who did not always double-check their anesthetic drugs before administration had a 3.51 higher risk of developing MAEs compared to those who always double-check anesthetic drugs before administration (AOR = 3.51; 95% CI: 1.34, 9.19). Additionally, participants who administer medications that have been prepared by someone else are about five times more likely to experience MAEs than participants who prepare their own anesthetic medications prior to administration (AOR = 4.95; 95% CI: 1.54, 15.95). The study found a considerable rate of errors in the administration of anaesthetic drugs. The failure to always double-check medications before administration and the use of drugs prepared by another anaesthetist were identified to be underlying root causes for drug administration errors.
The opioid crisis in the US severely affected and continues to affect population's health. The opioid crisis was in part fueled by inadequate pain management, which is in part due to the inadequate education in both pain and opioid use disorder (OUD) for health care professionals. In 2021, the Coalition on Physician Education in Substance Use Disorders (COPE) organized a curricular competition soliciting US medical students-designed OUD-related curricula. Twelve winning curricula were identified. Here, we first conducted a topic review regarding current US medical school OUD curricula. Then we evaluated the COPE winning curricula and compared them to the curricula identified in the topic review. For the topic review, ten relevant databases were searched up to December 31, 2021 using a combination of pre-determined keywords. Total of 25 peer-reviewed articles were selected based on the pre-determined criteria, which included 5 articles describing opioid curricular development at the state level (AZ, CA, MA, PA, and RI), 17 research articles evaluating a curriculum developed in a single institution, 2 literature reviews, and 1 article detailing curricular development and validation processes in a single institution. Although vary in organizations and formats, state-level curricula were comprehensive and could be adopted by other states or institutions with necessary local issue-based modifications. Faculty development and critical resources were major challenges for curricular implementation. The 17 research articles exhibited good scientific quality (Medical Education Research Study Quality Instrument (MERSQI) score = 11.94 ± 2.33 (maximal score = 18)). All research articles reported to some extent, the success of respective curriculum, in improving students' knowledge in and/or attitude towards OUD, based on primarily pre- and post- comparisons. Compared to these published curricula, winning students-designed curricula had more specific focuses, diverse learning activities, and varieties in assessment methods. For all curricula, long-term evaluations were lacking. Except for the state level curricula, majority of the other curricula did not emphasize specifically on chronic pain education or the biopsychosocial approach. Interprofessional education approach was also lacking. Our topic review and curricular evaluation highlighted the needs for integrating OUD and chronic pain medical curricula, developing long-term assessment tools, and more OUD curriculum research overall.
The opioid crisis within the United States has been widely studied; however, some gaps within the literature still exist. There is limited information on trends in opioid misuse as it relates to income among a national sample of Black Women. Given the recent increase in opioid overdose deaths in Black Americans and the vulnerability of women who misuse opioids, research in this population is important. The objective of this study is to evaluate trends of past year opioid misuse (PYOM) among Black women by income over the study period. A cross-sectional study among adult aged Black women captured in the National Survey on Drug Use and Health (NSDUH) from 2015 to 2019 was conducted. Descriptive statistics for all study variables was conducted. Weighted logistic regression analyses were conducted to evaluate predictors of PYOM. A stratified analysis was also conducted to examine possible differences between income strata on predictors of PYOM. A total of 15,196 Black women were included in the study (16,008,921 weighted visits). Among the women included, 41.5% were age 50+, 57.7% were unemployed, 63.8% reported very good/good health, 59.5% had past year alcohol use, 44.1% had never been married, 39.1% received government assistance, and 90.1% resided in a metro area. An estimated 3.14% of Black women reported PYOM. Findings from the regression analysis showed that Black women who were between 18 and 25, had past year major depressive episode, had alcohol use, illicit drug use, and who received government assistance had significantly greater odds of PYOM. Those reporting an excellent general health rating and higher education had significantly lower odds of PYOM. Income was not associated with PYOM in this study. Overall, income was not found to be a significant predictor of PYOM. However, income was found to modify the effects of major depressive episode and alcohol use on PYOM, especially among Black women who reported earning ≥$75,000/year. These findings suggest that high-earning Black women may be just as at risk for opioid misuse as low-earning Black women. Further studies are warranted to explore these effects among other gender/racial groups to determine if this trend is unique to Black women.
The Opioid Overdose Knowledge Scale (OOKS) is widely used as an adjunct to opioid education and naloxone distribution (OEND) for assessing pre- and post-training knowledge. However, the extent to which the OOKS performs comparably for bystander and first responder groups has not been well determined. We used exploratory structural equation modeling (ESEM) to assess the measurement invariance of an OOKS item subset when used as an OEND training pre-test. We used secondary analysis of pre-test data collected from 446 first responders and 1,349 bystanders (N = 1,795) attending OEND trainings conducted by two county public health departments. Twenty-four items were selected by practitioner/trainer consensus from the original 45-item OOKS instrument with an additional 2 removed owing to low response variation. We used exploratory factor analysis (EFA) followed by ESEM to identify a factor structure, which we assessed for configural, metric, and scalar measurement invariance by participant group using the 22 dichotomous items (correct/incorrect) as factor indicators. EFA identified a 3-factor model consisting of items assessing: basic overdose risk information, signs of an overdose, and rescue procedures/advanced overdose risk information. Model fit by ESEM estimation versus confirmatory factor analysis showed the ESEM model afforded a better fit. Measurement invariance analyses indicated the 3-factor model fit the data across all levels of invariance per standard fit statistic metrics. The reduced set of 22 OOKS items appears to offer comparable measurement of pre-training knowledge on opioid overdose risks, signs of an overdose, and rescue procedures for both bystanders and first responders.
The opportunities to work for early-career anaesthesiologists are in various sectors such as teaching institutes, private practice, and corporate hospitals in India or abroad. The primary aim of the survey was to determine whether early-career anaesthesiologists wanted to work in India or abroad. The secondary objectives were to determine the proportion of early-career anaesthesiologists who wished to pursue further studies and what degree they wanted to pursue. A validated questionnaire containing questions related to career preferences was circulated by social media among early-career anaesthesiologists via Google Forms. The survey questionnaire focussed on whether the respondents wanted to work in India or abroad or pursue further studies. The survey results were tabulated in an Excel sheet. Descriptive statistics were used to analyse the data, and the Chi-square test was applied where appropriate. Age-group preferences and gender preferences were also analysed. A total of 684 responses were received. The mean (SD) age of the respondents was 31.4 (2.8) years. Among the respondents, 64.1% were female, and 35.9% were male. Of the respondents, 309 (72.5%) were in a job, 50 (11.7%) were pursuing Society-recognised fellowships, and the rest were pursuing super-specialisation degrees or University-recognised fellowships. Two hundred and eighty-six respondents (75.5%) wanted to study outside India. Only 155 (36.6%) had career guidance from immediate contacts or mentors. Early-career anaesthesiologists want to pursue further degrees and fellowships after their graduation in anaesthesiology. Career guidance is an important aspect of anaesthesiology training.
The optimal amount and timing of protein intake in critically ill patients are unknown. REPLENISH (Replacing Protein via Enteral Nutrition in a Stepwise Approach in Critically Ill Patients) trial evaluates whether supplemental enteral protein added to standard enteral nutrition to achieve a high amount of enteral protein given from ICU day five until ICU discharge or ICU day 90 as compared to no supplemental enteral protein to achieve a moderate amount of enteral protein would reduce all-cause 90-day mortality in adult critically ill mechanically ventilated patients. In this multicenter randomized trial, critically ill patients will be randomized to receive supplemental enteral protein (1.2 g/kg/day) added to standard enteral nutrition to achieve a high amount of enteral protein (range of 2-2.4 g/kg/day) or no supplemental enteral protein to achieve a moderate amount of enteral protein (0.8-1.2 g/kg/day). The primary outcome is 90-day all-cause mortality; other outcomes include functional and health-related quality-of-life assessments at 90 days. The study sample size of 2502 patients will have 80% power to detect a 5% absolute risk reduction in 90-day mortality from 30 to 25%. Consistent with international guidelines, this statistical analysis plan specifies the methods for evaluating primary and secondary outcomes and subgroups. Applying this statistical analysis plan to the REPLENISH trial will facilitate unbiased analyses of clinical data. Ethics approval was obtained from the institutional review board, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia (RC19/414/R). Approvals were also obtained from the institutional review boards of each participating institution. Our findings will be disseminated in an international peer-reviewed journal and presented at relevant conferences and meetings. ClinicalTrials.gov, NCT04475666 . Registered on July 17, 2020.
The optimal meropenem dosing regimens in critically ill patients receiving continuous renal replacement therapy (CRRT) based on pharmacokinetic and pharmacodynamic (PD) concepts are not well established. This study aimed to (1) gather the available published pharmacokinetic studies conducted in septic patients receiving CRRT and (2) to define the optimal meropenem dosing regimens in these populations via Monte Carlo simulations. We used Medical Subject Headings "meropenem," "continuous renal replacement therapy," and "pharmacokinetics" or related terms to identify studies for systematic review. A one-compartment pharmacokinetic model was conducted to predict meropenem levels for the initial 48 h of therapy. The PD targets were 40% of free drug above a threshold of 1 times the minimum inhibitory concentration (MIC) (40% fT &gt; MIC), 4 times the MIC (40% fT &gt; 4MIC), and an additional target of free drug level above 1 times MIC 100% of the time (fT &gt; MIC). The dose that achieved at least 90% of the probability of target attainment (PTA) was defined as an optimal dose. Twenty-one articles were included for our systematic review. The necessary pharmacokinetic parameters such as volume of distribution and CRRT clearance were cited in 90.5 and 71.4% of articles, respectively. None of the published studies reported completed necessary parameters. A regimen of 750 mg q 8 h was found to be the optimal dose for pre-dilution continuous venovenous hemofiltration and continuous venovenous hemodialysis modality using two effluent rates (25 and 35 mL/kg/h) which achieved the PD target of 40% fT &gt; 4MIC. None of the published studies showed the necessary pharmacokinetic parameters. PD target significantly contributed to meropenem dosage regimens in these patients. Differing effluent rates and types of CRRT shared similar dosing regimens. Clinical validation of the recommendation is suggested.