Yoxas/statistical_literacy huggingface dataset:
In the German medical education program practical examinations at the end of the neurology clerkship are sparsely performed. By this way, motivation for practical learning and a method to assure quality of learning are not used. The Anglo-Saxon concept of "objective structured clinical examination" (OSCE) is picked up and implemented as a practical examination at the end of the neurology clerkship of medical students in their 4th and 5th year. A catalogue of learning goals was defined and an OSCE of 5 stations was developed. A standard of a successful examination was defined. In two OSCE stations the competence in clinical decision making and reasoning were tested, in two stations the competence in practical examination skills and in one station the practical skill to perform a lumbar puncture at the phantom. The results of the OSCE stations were analysed for task difficulty, discriminatory power, normalized discrimination index and reliability. Using a questionnaire, the students evaluated the OSCE. N = 123 students (73 female, 50 male) with a mean age of 26.1 years (22 - 46 years) participated. The mean score was 40 +/- 3.6 of a total of 50 points (range 29 - 46). Female students (40.8 +/- 3.1) scored significantly higher than male ones (38.8 +/- 4; p = .002). One student (0.8 %) failed the examination. The difficulty of the stations ranged between 0.63 and 0.91, normalized discrimination index between 0.1 and 0.18 and the discriminatory power from r = 0.25 to r = 0.53. The reliability of the 5 stations was 0.65 (Cronbach's alpha). In the evaluation, the rating for innovation, organisation, length, clarity of the tasks, clinical reality and compatibility with general physician's competence, atmosphere during the examination and fairness was extremely positive. Most students would prefer an OSCE compared with a multiple-choice test. An OSCE at the end of the neurology clerkship is feasible. The quantitative analyses of the results are concordant with requirements of medical examinations. The OSCE is positively evaluated by the students.
In the Global South, (in)fertility care is scarcely recognized as a priority, yet the government of The Gambia has recently included it as one of the key priorities in its reproductive health strategic plan. This inclusion appears to be the result of years of engagement between policy actors, academic researchers, and activists in the field of reproductive health and specifically of infertility. However, the operationalization of the strategic plan may be hampered by multiple factors. The research aims to identify and analyze challenges that may impede the effective implementation of the strategic plan, thereby providing policy action points and practical guidance into the operationalization of (in)fertility care in the context of The Gambia's health system. This is a mixed-methods study with data from a survey and semi-structured interviews collected between 2020 and 2021 in The Gambia that were separately published. In this paper, we present the triangulation of quantitative and qualitative data using a convergence coding matrix to identify relevant policy action points. Six fertility care policy action points, driven by data, arose from the triangulation and interpretation process, specifically: (i) establishing and maintaining political commitment and national priority for fertility care; (ii) creating awareness and increasing the involvement of men in SRH and fertility; (iii) ensuring data-driven health policymaking; (iv) offering and regulating affordable IVF alternatives; (v) improving knowledge of and means for fertility care provision; and (vi) enhancing the collaboration among stakeholders and building links with the private healthcare sector. This study found the implementation of the fertility care-related activities in the reproductive health strategic plan may face challenges that require careful mitigation through a holistic approach. Such an approach conceptualizes infertility not just as a biomedical issue but as a broader one that incorporates educational and socio-emotional aspects, including male and (not only) female involvement in sexual and reproductive health. Moreover, it is supported by a comprehensive health management information system that includes capturing data on the demand for, and access to, infertility services in The Gambia health system.
In the healthcare systems of the world, reinforcing the competence and professionalism of nurses has become a concern. Gaining clinical nursing competence in the healthcare system requires more effort, and additional training is required. Medical education and training have begun using digital technologies, such as virtual reality (VR). The purpose of this research was to examine the efficacy of VR in terms of cognitive, emotional, and psychomotor outcomes and learning satisfaction in nurses. The study searched eight databases (Cochrane library, EBSCOHost, Embase, OVID MEDLINE, ProQuest, PubMed, Scopus, and Web of Science) for articles that met these criteria: (i) nursing staff, (ii) any virtual reality technology intervention for education, all levels of immersion, [1] randomized control trial and quasi-experiment study, and (iv) published articles and unpublished theses. The standardized mean difference was measured. The random effect model was applied to measure the main outcome of the study with a significance level of p < .05. The I2 statistic assessment was applied to identify the level of heterogeneity of the study. A total of 6740 studies were identified, of which 12 studies with 1470 participants met the criteria for inclusion. The meta-analysis showed a significant improvement in the cognitive aspect (standardized mean difference [SMD] = 1.48; 95% CI = 0.33-2.63; p = .011, I2 = 94.88%), the affective aspect (SMD = 0.59; 95% CI = 0.34-0.86; p < .001, I2 = 34.33%), the psychomotor aspect (SMD = 0.901; 95% CI = 0.49-1.31; p < .001, I2 = 80.33%), and learning satisfaction (SMD = 0.47; 95% CI = 0.17-0.77; p = .002, I2 = 0%) aspects of the groups that received the VR intervention compared to the control groups. Subgroup analysis found that dependent variables (e.g., level of immersion) did not improve study outcomes. The quality of evidence was low which is affected by major methodological issues. VR may favorable as alternative method to increase nurse competencies. Randomized controlled trials (RCTs) on larger samples are needed to strengthen the evidence for the effect of VR in various clinical nurse settings. ROSPERO registration number: CRD42022301260.
In the information age, the ability to read and construct data visualizations becomes as important as the ability to read and write text. However, while standard definitions and theoretical frameworks to teach and assess textual, mathematical, and visual literacy exist, current data visualization literacy (DVL) definitions and frameworks are not comprehensive enough to guide the design of DVL teaching and assessment. This paper introduces a data visualization literacy framework (DVL-FW) that was specifically developed to define, teach, and assess DVL. The holistic DVL-FW promotes both the reading and construction of data visualizations, a pairing analogous to that of both reading and writing in textual literacy and understanding and applying in mathematical literacy. Specifically, the DVL-FW defines a hierarchical typology of core concepts and details the process steps that are required to extract insights from data. Advancing the state of the art, the DVL-FW interlinks theoretical and procedural knowledge and showcases how both can be combined to design curricula and assessment measures for DVL. Earlier versions of the DVL-FW have been used to teach DVL to more than 8,500 residential and online students, and results from this effort have helped revise and validate the DVL-FW presented here.
In the information society, there is a vast amount of data that needs to be analyzed quantitatively. The ability to perform quantitative analysis based on statistical thinking and data mining, is becoming extremely important. It is important that research students develop positive attitude towards both qualitative and quantitative research approaches. But many research students try to avoid applying quantitative methods in their research and prefer to rely on qualitative research approach due to lack of interest and confidence in statistical skills. This research aims to explore if research students' choice of research approach is affected by their attitude towards Statistics. 81 research students from three different universities participated in a survey in which there was one open ended question. Quantitative data from the survey was analyzed by using cluster analysis and independent sample t-test was applied to examine differences in the attitudes of masters and doctoral research students. Other data analysis methods, such as cross-tabular analysis, chi-square and ANOVA tests were also applied. Responses to open ended question were analyzed qualitatively by detecting the themes, such as, focus on technique, data or meaning. This study found that students pursuing postgraduate degrees in social science streams are not very keen on using a quantitative research approach. Masters students' attitudes towards statistics are different than the doctoral students. Findings of our research indicate that the majority of students who think that statistics is only about numeric methods, prefer to go away from it and choose a qualitative approach. Based on the findings, recommendations for changes in curriculum are presented.
In the January 2022 issue of Perspectives, Götz et al. argued that small effects are "the indispensable foundation for a cumulative psychological science." They supported their argument by claiming that (a) psychology, like genetics, consists of complex phenomena explained by additive small effects; (b) psychological-research culture rewards large effects, which means small effects are being ignored; and (c) small effects become meaningful at scale and over time. We rebut these claims with three objections: First, the analogy between genetics and psychology is misleading; second, p values are the main currency for publication in psychology, meaning that any biases in the literature are (currently) caused by pressure to publish statistically significant results and not large effects; and third, claims regarding small effects as important and consequential must be supported by empirical evidence or, at least, a falsifiable line of reasoning. If accepted uncritically, we believe the arguments of Götz et al. could be used as a blanket justification for the importance of any and all "small" effects, thereby undermining best practices in effect-size interpretation. We end with guidance on evaluating effect sizes in relative, not absolute, terms.
In the last decades, genetics has experienced significant technological advancements worldwide. However, in Portugal, serious limitations persist, compromising the functioning of healthcare in medical genetics. This study aimed to promote sharing and discussion among genetic medical professionals, to outline concrete actions to address gaps in clinical practice. Three focus groups were conducted with 19 specialists in medical genetics. The data were analyzed using the thematic analysis method to extract the main themes from the discussions. From the analysis, four conceptual themes emerged: (i) framing Portuguese genetic services in light of the European context; (ii) improvement of medical genetics education and population literacy; (iii) transforming of medical genetics services; and (iv) operationalizing the change. The results demonstrated that increasing training resources and strengthening multiprofessional teams by hiring more genetic professionals, such as clinical geneticists, molecular geneticists, and other genetic specialists, is crucial to enhancing the responsiveness of genetic services. Integrating medical genetics into all specialties and primary care, as well as updating the national network of medical genetics, are critical points for increasing equity and enabling healthcare to be provided more fairly. Including other medical genetics professionals such as genetic counsellors, nurses and psychologists also plays a significant role in providing comprehensive and quality care. This collaborative approach aims to provide effective genetic assistance and enhance the adequacy of genetic healthcare. The findings are compiled as recommendations to support the profession moving forward that can be applied to other healthcare contexts worldwide.
In the last few decades, cognitive theories for explaining human spatial relational reasoning have increased. Few of these theories have been implemented as computational models, however, even fewer have been compared computationally to each other. A computational model comparison requires, among other things, a still missing quantitative benchmark of core spatial relational reasoning problems. By presenting a new evaluation approach, this paper addresses: (1) developing a benchmark including raw data of participants, (2) reimplementation, adaptation, and extension of existing cognitive models to predict individual responses, and (3) a thorough evaluation of the cognitive models on the benchmark data. The paper shifts the research focus of cognitive modeling from reproducing aggregated response patterns toward assessing the predictive power of models for the individual reasoner. It demonstrate that not all psychological effects can discern theories. We discuss implications for modeling spatial relational reasoning.
In the literature, it is still unclear if the decisions for selecting the type of implant crown-retaining system are based on scientific-based research or if the Universities' choices, Implant marketing trends, or finances could have a major influence on the private dentists' decisions. Therefore, this study aimed to evaluate the crown-retaining system (cement- or screw-retained) used in dental schools and private dental practices. A 13-item questionnaire was sent to Canadian dental schools (n = 10) and dental offices in London (n = 298), Canada. The questionnaire included demographic questions and questions to reveal the dentists' perspectives on prosthetic implant treatment between the two-retaining systems. Results were analyzed using descriptive statistics and multinomial logistic regression (p = 0.05). Twenty-four private dentists and five dental schools responded to the survey - 62.5% of private practitioners and 60% of universities reported using both systems. A trend was observed in using screw-retained systems by dentists who graduated 5-10 years ago. Straumann, Astra, and Nobel Biocare were the private practices and dental schools' preferred implant systems. The use of platform switching for all cases was selected by 54.2% of the private practitioners and 40% of the dental schools. Resin cement was the private practice's preferred cementation method; the dental schools used glass ionomer and zinc phosphate cement. The multinomial logistic regressions showed no statistical difference between the crown-retaining system chosen and the decision factors. The laboratory technician's recommendations and cost influenced the decision-making process for private dentists. For the universities, perio-restorative outcome, implant position, survival rates, institute preferences, and evidence-based research influenced the crown-retaining system's decision-making process. CONCLUSION: The Canadian dental schools and private practice reported using both screw- and cement-retaining systems. However, there was a difference in the selection criteria as the universities showed a tendency towards a more research-based approach in their decision, while for the private practices, the technicians' recommendations and cost played a major role in the decision process. It was noted that the implant systems preconized by the Universities were observed to be used in private practices.
In the Netherlands, as in many other countries, victims of intentionally committed violent crimes may apply for state compensation if the offender is unknown or unable to pay for the damages of the crime. This state compensation scheme is run by the Dutch Violent Offences Compensation Fund (VOCF). Lawyers who work for this fund need to evaluate applicants´ eligibility for state compensation on the basis of two criteria: (1) the plausibility of the applicant's victimization story and (2) the severity of the injury sustained by the applicant. Whether these criteria are fulfilled is largely left to the discretion of the lawyer who evaluates the application. This discretionary power makes the decision-making process prone to biased outcomes. Inspired by previous research, this study investigated whether information from mental health care providers, such as psychiatrists or clinical psychologists, serves as a potential source of bias. Although this type of information may or should sometimes be used to evaluate an applicant's eligibility for compensation, in most cases it should not affect the outcome of this evaluation because of its potential unreliability. A statistical association between availability of information from mental health care providers and adjudication of state compensation is therefore not to be expected. Analyzing 246 applications submitted to the Dutch VOCF between July 1st 2016 and July 1st 2017, this study tested the empirical validity of this expectation. Results indicated that the availability of information of mental health care providers was associated with adjudication of state compensation. This finding was discussed in view of the literature on heuristic thinking and biased decision making and the study's limitations.
In the past decade, countries worldwide aimed to evaluate the quality of childbirth care and reduce the high rates of disrespect and abuse during childbirth. Few studies have attempted to identify providers' characteristics associated with respectful maternity care quantitatively. This study aims to evaluate midwives' knowledge and practice of respectful maternity care (RMC). A cross-sectional study was carried out in 15 teaching and non-teaching hospitals in Tehran, Iran. The hospitals were selected by using a cluster sampling design. Midwives' Knowledge and Practice of Respectful Maternity Care scale (MKP-RMC) was administered to 250 midwives working in maternity units at study hospitals. The data were analysed by statistics package for social science (SPSS, version 21.0, Chicago, IL). Findings demonstrated that the mean score for knowledge and practice of midwives were 20.96 ± 3.54 and 101.64 ± 11.49, respectively. Also, in both knowledge and practice scales, midwives had the highest score in "providing safe care' domain and the lowest score in "preventing mistreatment" domain. Our findings showed that for Iranian midwives, providing care to preserve mothers' and their babies' wellbeing is more critical than preventing maternal mistreatment, resulting from the importance of the care provision in the Iranian healthcare system. Promoting midwives' knowledge and practice through developing a tailored educational program to prevent mistreatment and providing emotional support alongside physical care is recommended.
In the past decade, there has been a recognized need for innovative methods to monitor and manage plant diseases aiming to meet the precision demands of modern agriculture. Over the last 15 years, significant advances in detection, monitoring, and management of plant diseases have been made, largely propelled by cutting-edge technologies. Recent advances in precision agriculture have been driven by sophisticated tools such as sensors, artificial intelligence, microsensor networks, and autonomous vehicles. These technologies have enabled the development of novel cropping systems, allowing for targeted management of crops, contrasting with traditional, homogeneous treatment of large crop areas. Research in this field is usually highly collaborative, and interdisciplinary endeavor. It brings together experts from diverse fields such as plant pathology, computer science, statistics, engineering, and agronomy. Despite the progress, translating the advancements in the precision of decision-making or automation into agricultural practice remains a challenge. Enhancing the accuracy and timeliness of disease detection continues to be a priority, with data-driven artificial intelligence systems poised to play a pivotal role. This perspective addresses critical questions and challenges faced in the implementation of digital technologies for plant disease management. It underscores the urgency of integrating innovative technological advances with traditional integrated pest management (IPM). It highlights unresolved issues regarding the establishment of control thresholds for site-specific treatments and the necessary alignment of digital technology use with regulatory frameworks. Importantly, the paper calls for intensified research efforts, widespread knowledge dissemination, and education to optimize the application of digital tools for plant disease management.
In the past five years, observational evidence suggests that the rates and determinants of preterm birth may have changed due to the effect of the coronavirus disease 2019 (COVID-19) pandemic and other humanitarian crises in our environment. This study aimed to determine the incidence, associated factors, and outcomes of preterm birth in tertiary hospitals in Enugu, southeastern Nigeria. This cross-sectional study included 238 pregnant women from the University of Nigeria Teaching Hospital (UNTH), Enugu State University of Science and Technology Teaching Hospital (ESUT-TH) Parklane, and Mother of Christ Specialist Hospital (MOCSH), Enugu, from April 2022 to March 2023. Eligible and consenting participants were recruited from 28-36 weeks +6 days of gestational age and followed up until delivery. Relevant outcome variables, such as sociodemographic characteristics, gestational age at delivery, and pregnancy outcomes, were recorded in a pro forma. These data were analyzed using IBM Statistical Package for the Social Sciences (SPSS) statistics for Windows, version 22.0, Armonk, NY: IBM Corp. The incidence of preterm birth was 16.6% (37/223), with spontaneous preterm birth constituting 24 of 37 (64.5%) cases. The mean age of participants was 30.3 ± 4.8 years. Advanced maternal age (>35 years) (P = 0.01, adjusted odds ratio (AOR) =0.01, confidence interval (CI): 0.00-0.144), low socioeconomic status (P = 0.04, AOR = 0.40, CI: 0.11-1.46), and history of miscarriage (P = 0.02, AOR = 0.06, CI: 0.01-0.59) were the factors associated with spontaneous preterm birth. Neonatal death occurred in 21.6% (8/37) of cases within the first 24 hours. Rates of cesarean section and low birth weight were 73% (27/37) each. The incidence of preterm birth is high in Enugu, and associated factors were advanced maternal age, low socioeconomic status, and a history of miscarriage.
In the past years, an increasing number of experimental techniques have emerged to address the need to unveil the chemical, structural, and electronic properties of perovskite thin films with high vertical and lateral spatial resolutions. One of these is angle-resolved photoemission electron spectroscopy which can provide direct access to the electronic band structure of perovskites, with the aim of overcoming elusive and controversial information due to the complex data interpretation of purely optical spectroscopic techniques. This perspective looks at the information that can be gleaned from the direct measurement of the electronic band structure of single crystal perovskites and the challenges that remain to be overcame to extend this technique to heterogeneous polycrystalline metal halide perovskites.