Yoxas/statistical_literacy huggingface dataset:
According to R.A. Fisher, randomization "relieves the experimenter from the anxiety of considering innumerable causes by which the data may be disturbed." Since, in particular, it is said to control for known and unknown nuisance factors that may considerably challenge the validity of a result, it has become very popular. This contribution challenges the received view. First, looking for quantitative support, we study a number of straightforward, mathematically simple models. They all demonstrate that the optimism surrounding randomization is questionable: In small to medium-sized samples, random allocation of units to treatments typically yields a considerable imbalance between the groups, i.e., confounding due to randomization is the rule rather than the exception. In the second part of this contribution, the reasoning is extended to a number of traditional arguments in favour of randomization. This discussion is rather non-technical, and sometimes touches on the rather fundamental Frequentist/Bayesian debate. However, the result of this analysis turns out to be quite similar: While the contribution of randomization remains doubtful, comparability contributes much to a compelling conclusion. Summing up, classical experimentation based on sound background theory and the systematic construction of exchangeable groups seems to be advisable.
According to the Consensus-based Standards for the selection of health Measurement Instruments (COSMIN) panel, structural validity describes how well Patient-Reported Outcome Measures' (PROM) scores reflect the dimensions of the measured construct. The main purpose of this study was to examine the structural components of the Abilitator, a co-developed self-report questionnaire on work ability and functioning for the population in a weak labour market position. We examined to what extent the Abilitator has reflective and formative elements in its five summary scales: "C. Inclusion", "D. Mind", "E. Everyday life", "F. Skills", and "G. Body". The Abilitator data sample (n = 4555, men 51%, mean age 37 years) was collected in 2017-2022 by the Finnish Institute of Occupational Health in cooperation with the European Social Fund Priority 5 projects in which the participants have multiple challenges to gain employment. For the structural components and validity analysis we implemented both Confirmatory Factor Analysis (CFA) and Exploratory Factor Analysis (EFA). Based on the COSMIN criteria for structural validity, the Abilitator reached approximate model fit with CFA when we analysed the different concepts of the questionnaire separately rather than in one unified model. An exception was "E. Everyday life" which was a formative summary scale, and it did not reach approximate fit. EFA showed that the items in the Abilitator's summary scales loaded on ten factors. The Abilitator had both reflective and formative elements in its structure. It reached structural validity in those separate concepts that were based on a reflective model. This study revealed interesting connections between different aspects of the Abilitator and produced valuable information for further modification of the questionnaire.
According to the International Labor Organization, at least 160 million children ages 5 to 17 around the world were involved in some form of child labor at the beginning of 2020, including 79 million children performing hazardous labor. This article uses recent representative data from Bangladesh and Pakistan to investigate the relationship between foundational skills and child labor engagements for 12- to 14-year-old children. It found a consistent negative association between child labor and reading and numeracy foundational skills. In particular, it found that engagement in hazardous child labor had large negative associations with reading and numeracy foundational skills. It also found negative associations between engagement in economic labor and reading foundational skills. Finally, the article found that intense engagement in household labor was also negatively associated with foundational skills. It discusses the implications of these findings which paint a deeply concerning picture of the challenges ahead of the global community to ensure that all children acquire foundational skills (and beyond). It notes that systematic efforts to define, document, and measure child labor will be crucial to better understand the negative implications of child labor for foundational learning and the potential policy solutions to address these impacts.
According to the Pathways to Mathematics model [LeFevre et al. (2010), Child Development, Vol. 81, pp. 1753-1767], children's cognitive skills in three domains-linguistic, attentional, and quantitative-predict concurrent and future mathematics achievement. We extended this model to include an additional cognitive skill, patterning, as measured by a non-numeric repeating patterning task. Chilean children who attended schools of low or high socioeconomic status (N = 98; 54% girls) completed cognitive measures in kindergarten (Mage = 71 months) and numeracy and mathematics outcomes 1 year later in Grade 1. Patterning and the original three pathways were correlated with the outcomes. Using Bayesian regressions, after including the original pathways and mother's education, we found that patterning skills predicted additional variability in applied problem solving and arithmetic fluency, but not number ordering, in Grade 1. Similarly, patterning skills were included in the best model for applied problem solving and arithmetic fluency, but not for number ordering, in Grade 1. In accord with the hypotheses of the original Pathways to Mathematics model, patterning varied in its unique and relative contributions to later mathematical performance, depending on the demands of the tasks. We conclude that patterning is a useful addition to the Pathways to Mathematics model, providing further insights into the range of cognitive precursors that are related to children's mathematical development.
According to the principle of duty of care, adults in the lives of children with disabilities such as autistic children are expected to promote their development. The Nutbeam's health literacy model was adopted to explore the efforts of special education teachers and parents toward promoting better eating habits among autistic children in the United Arab Emirates (UAE). Twenty-one participants, comprising fifteen special education teachers and six parents with autistic children, were examined in this study. The results indicated that some special education teachers' and parents' limited understanding of unhealthy food might impact the development of autistic children. Furthermore, the findings also highlight the lack of collaboration and communication between teachers regarding the nutrition and healthy living of autistic children. The findings have practical consequences, such as urging UAE health policymakers to provide professional development for special education instructors and parents of autistic children.
According to the statistics of 160 typical fire and explosion accidents in oil storage areas at home and abroad nearly 50 years, 122 of them occurred the secondary accidents in the emergency responses. Based on 122 accident cases, 21 causal factors leading to secondary accidents are summarized. In order to quantify the influencing degree of these causal factors on the accident consequences, a multiple linear regression model was established between them. In the modeling process, these factors are decomposed into the criterion layer, variable layer, and bottom layer. The improved analytic hierarchy process (IAHP) was used to establish the relationship between the bottom factors and variable factors, and the regression analysis method was used to establish the relational model between variable layer and criterion layer. For 122 cases of the secondary accidents, this study took the year as a statistical dimension, and obtained 40 groups of sample data. The first 34 groups of sample data were used to build the causal factors model, and the last 6 groups of sample data were tested the generalization ability of the model by using the established regression model combined with grey prediction model. The results show that the prediction ability of the established model was better than that of the grey prediction model alone. Moreover, the relative contribution and change trend of the causal factors were evaluated using the mutation progression method, and corresponding preventive countermeasures were proposed. It was found that human professional skills, knowledge and literacy, environmental issues, and firefighting facilities are the main influencing factors that lead to the secondary accidents. These three kinds of factors show a gradual improvement trend, and the existing prevention measures should be maintained and further improved. The problem of inherent objects or equipment factors has not been effectively improved and has a worsening trend, which is the focus of prevention in the future, and the prevention and control efforts need to be moderately increased. The research results have important guiding significance for understanding the quantitative influences of causal factors on the accident consequences, improving emergency response capabilities, reducing accident losses, and avoiding secondary accidents.
According to traditional concepts, the movement of overlying strata and surface damage caused by coal mining in horizontal coal seams are symmetrical in terms of spatial distribution. However, in a lot of engineering practices, this symmetry has not been discovered. We often use the symmetry function to establish the profile prediction function of the surface damage, which results in a large difference between the prediction result and the actual situation. To solve this problem, this paper takes subsidence velocity as an example. Firstly, the spatial distribution functions of subsidence velocity on both sides were deduced theoretically. Through comparison, it is found that the change rate of the spatial distribution curve of the coal pillar side subsidence velocity is smoother than that of the goaf side and the subsidence velocity curves are skewed to the left. Secondly, based on the idea of lossless propagation of harmonic waves and idealizing the propagation environment, the spatial propagation relationship of surface subsidence velocity in the time domain is established. Then, the Box-Cox transform function is introduced to improve the normal distribution probability density function, and a new dynamic subsidence prediction model based on the Box-Cox transformation is obtained, which is suitable for the full mining stage. The model is tested by practical cases, the prediction accuracy is better than 7%, and the prediction results can meet the needs of engineering prediction accuracy (10%). The results of this research can enrich the existing subsidence prediction theory and provide theoretical and technical support for the prediction of dynamic surface damage caused by similar mining.
Accuracy is needed with medication administration, a skill that involves rule-based habits and clinical reasoning. This pilot study investigated the use of an evidence-based checklist for accuracy with oral medication administration and error reporting among prelicensure nursing students. Checklist items were anchored in the mnemonic C-MATCH-REASON© (Client, Medication, ADRs, Time, Client History, Route, Expiration date, Amount, Site, Outcomes, Notation). Nineteen participants randomly assigned to crossover sequence AB or BA (A: checklist; B: no checklist) practiced simulation scenarios with embedded errors. Nursing faculty used an observation form to track error data. Using the C-MATCH-REASON© checklist compared with not using the checklist supported rule adherence (p = .005), knowledge-based error reduction (p = .011), and total error reduction (p = .010). The null hypothesis was not rejected for errors found (p = .061) nor reported (p = .144), possibly due to sample size. C-MATCH-REASON© was effective for error reduction. Study replication with a larger sample is warranted. [J Nurs Educ. 2024;63(5):320-327. ].
Accurate analysis of injuries is paramount when allocating resources for prevention, research, education, and legislation. As burn mortality has improved over recent decades, the societal burden of burn injuries has grown ambiguous to the public while a scarcity of investigational funding for survivors has led to a gap in understanding lifelong sequela. We aim to compare national references reporting the incidence of burn injuries in the United States. The American Burn Association Burn Injury Summary Report (ABA-BISR), American Burn Association Fact Sheet, Centers for Disease Control and Prevention (CDC) Web-based Injury Statistics Query and Reporting (WISQARS) database, the CDC National Center for Health Statistics' National Hospital Ambulatory Medical Care Survey (NHAMCS), National Inpatient Sample (NIS), National Emergency Department Sample (NEDS), and commercially available claims databases were queried for 2020 or the most recent data available. The BISR estimated 30,135 burn admissions in 2022. The 2016 ABA Fact Sheet reported 486,000 burns presented to US emergency departments (ED). In 2020, CDC's WISQARS database reported 3,529 fatal, and 287,926 non-fatal, burn injuries. The 2020 NEDS reported 438,185 ED visits while the 2020 NIS estimated 103,235 inpatients. The NHAMCS reported 359,000 ED visits for burn injuries in the same period, and an analysis of ICD-10 burn codes demonstrated over 698,555 claims. Our study demonstrates a large variability in the reported incidence of burn injury by the ABA, CDC, national samples, and claims databases. Per our analyses, we estimate that 600,000 individuals annually suffer a burn injury which merits emergent care in the United States.
Accurate and complete surgical and pathology reports are the cornerstone of treatment decisions and cancer care excellence. Synoptic reporting is a process for reporting specific data elements in a specific format in surgical and pathology reports. Since 2007, The Canadian Partnership Against Cancer has led the implementation of synoptic reporting mechanisms across multiple cancer disease sites and jurisdictions across Canada. While the implementation of synoptic reporting has been successful, its use to drive improvements in the quality of cancer care delivery has been lacking. Here we describe the Partnership's 4-year, national multi-jurisdictional quality improvement initiative to catalyse the use synoptic data to drive cancer system improvements. Resources provided to the jurisdictions included operational funding, training in quality improvement methodology, national forums, expert coaches, and ad hoc monitoring and support. The program emphasized foundational concepts including data literacy, audit and feedback reports, communities of practice, and positive deviance methodology.
Accurate and precise measures of health literacy (HL) is supportive for health policy making, tailoring health service design, and ensuring equitable access to health services. According to research, valid and reliable unidimensional HL measurement instruments explicitly targeted at young people (YP) are scarce. Thus, this study aims at assessing the psychometric properties of existing unidimensional instruments and developing an HL instrument suitable for YP aged 16-25 years. Applying the HLS19-Q47 in computer-assisted telephone interviews, we collected data in a representative sample comprising 890 YP aged 16-25 years in Norway. Applying the partial credit parameterization of the unidimensional Rasch model for polytomous data (PCM) and confirmatory factor analysis (CFA) with categorical variables, we evaluated the psychometric properties of the short versions of the HLS19-Q47; HLS19-Q12, HLS19-SF12, and HLS19-Q12-NO. A new 12-item short version for measuring HL in YP, HLS19-YP12, is suggested. The HLS19-Q12 did not display sufficient fit to the PCM, and the HLS19-SF12 was not sufficiently unidimensional. Relative to the PCM, some items in the HLS19-Q12, the HLS19-SF12, and the HLS19-Q12-NO discriminated poorly between participants at high and at low locations on the underlying latent trait. We observed disordered response categories for some items in the HLS19-Q12 and the HLS19-SF12. A few items in the HLS19-Q12, the HLS19-SF12, and the HLS19-Q12-NO displayed either uniform or non-uniform differential item functioning. Applying one-factorial CFA, none of the aforementioned short versions achieved exact fit in terms of non-significant model chi-square statistic, or approximate fit in terms of SRMR ≤ .080 and all entries ≤ .10 that were observed in the respective residual matrix. The newly suggested parsimonious 12-item scale, HLS19-YP12, displayed sufficiently fit to the PCM and achieved approximate fit using one-factorial CFA. Compared to other parsimonious 12-item short versions of HLS19-Q47, the HLS19-YP12 has superior psychometric properties and unconditionally proved its unidimensionality. The HLS19-YP12 offers an efficient and much-needed screening tool for use among YP, which is likely a useful application in processes towards the development and evaluation of health policy and public health work, as well as for use in clinical settings.
Accurate assessment and enhancement of health-related skills among oncology patients are pivotal for optimizing cancer care. The Patient Activation Measure (PAM-13), a questionnaire designed to reflect an individual's knowledge, skills, and confidence in self-healthcare management, has been validated across diverse countries and settings. Concerns have been raised regarding the cross-situational applicability, as patients with specific diseases and cultural backgrounds interpret questionnaire items differently. This study aimed to examine the structural validity and psychometric properties of the PAM-13 in an oncological patient cohort. Baseline data from a longitudinal non-randomized controlled study involving cancer out-patients (n = 1,125) from Comprehensive Cancer Centres in Southern Germany were analysed. The German version of the PAM-13 was employed. With classical test and item response theory methods data quality, reliability, convergent and structural validity, as well as psychometric properties were assessed. Exploratory (EFA) and confirmatory factor analyses (CFA) were employed to investigate the postulated unidimensionality of the underlying construct. With a partial credit model (PCM) we examined item fit, targeting, local independence and differential item functioning. Participants were predominantly female (73.0%) with a breast cancer diagnosis (41.3%). While items were generally well-accepted, ceiling effects were observed and a high mean PAM-13 score (69.7, SD = 14.2) was noted, potentially compromising responsiveness to interventions. Reliability was adequate (Cronbach's α = 0.81), person and item separation reliability were good to excellent (0.81 and 0.99, respectively). Explorations of the unidimensionality of the construct (EFA, CFA, PCM) yielded inconclusive results, hinting towards a two-factor solution. Item difficulty rankings deviated from the original. No differential item functioning was identified, and local independence was confirmed. While the PAM-13 serves as a valuable instrument for comprehending and promoting health-related skills in cancer patients, the identification of ceiling effects, disordered item-difficulty rankings, and inconclusive findings regarding unidimensionality contribute to the expanding body of evidence, emphasizing the dependency of PAM-13's validity and reliability on distinctive characteristics within the population under investigation. Future research should prioritize refining or adding PAM-13 items to better capture the specific health-related challenges within diverse populations, paving the way for more effective patient engagement strategies in oncology. DRKS00021779.
Accurate cardiovascular disease (CVD) risk appraisal is essential for hypertensive patients to identify correctly their risk status and take efficient behavioral measures timely to avoid major adverse outcomes. However, hypertensive patients' risk perceptions of CVD events in Ethiopia are unknown. Thus, the study aimed to compare the subjective CVD risk perception level of patients with the nonlaboratory Framingham Risk Score (nl-FRS). A cross-sectional design was used. The Attitudes and Beliefs about Cardiovascular Disease Risk Questionnaire and the nl-FRS were used to compare subjective versus objective measures of CVD risk. Agreement between participants' risk perceptions and the nl-FRS were examined using the kappa statistic. Bivariate chi-square test and multinomial logistic regression analyses were run to identify factors associated with risk perceptions. The statistical significance was set at a p-value < 0.05 level. Participants (n=377) had a mean age of 53.61 ± 12.80-years, range (18-82 years), 51.2% were males, 42.7% had less than high school education, 45.1% achieved target BP control, and mean HTN duration was 8.01 ± 6.07 years. The majority (58.62%) of the participants had a low subjective risk perception of CVD events (mean 17.79, 95% CI: 17.43-18.15). Approximately three-fourths (72.4%) had a moderate nl-FRS risk calculation (mean, 13.84, 95% CI: 13.36-14.33). Agreement between participants perceived-risk and the nl-FRS was poor (kappa = 0.0002, standard error = 0.023, p =0.99). Participants' CVD risk-perception inaccuracy was also high (76%) primarily due to underestimation. Hypertension duration, frequency of physician visits, and level of diabetes control were significant predictors of CVD risk underestimation. Hypertensive patients had inaccurate and low subjective risk perceptions of CVD events compared to moderate objective risks identified using the nl-FRS. Planned education on HTN and CVD risk factors is essential to improve patients' CVD risk perception to reduce adverse CVD events.
Accurate epidemiological data are vital in estimating the burden of disease in a country. Little is known about the incidence of childhood cancer in Ghana. This study describes the incidence patterns of cancer in children below 14 years and 11 months from 2015 to 2019 at the only two main pediatric cancer referral centers in Ghana: Korle Bu Teaching Hospital (KBTH) and Komfo Anokye Teaching Hospital (KATH). Data on the incidence of cancer in children below 14 years and 11 months were collected retrospectively between 1st January 2015 and 31st December 2019 from patients' medical folders at KBTH and the cancer registry at the pediatric units of KATH. Descriptive statistics were used to describe the data. Incident rates expressed as age-specific rates (ASRs) per 100,000 person-years using population estimates for age groups and sex in each year, were determined by age groups (0-4, 5-9, 10-14 years and 11 months), sex, region of residence and cancer types based on the International Childhood Cancer Classification, third edition. The total ASR per 100,000 person-years from 2015 to 2019 was 9.36 based on 1073 cases observed. The ASR increased from 1.6 per 100,000 person-years in 2015-2.41 in 2017, thereafter decreasing to 1.45 in 2019. The ASR was higher in male children (2.10 per 100,000 person-years), children between 0 and 4 years (0.27 per 100,000 person-years), and children living in the Greater Accra region (4.17 per 100,000 person-years). The most prevalent cancers were lymphomas (2.17 per 100,000 person-years) and leukemia (1.88 per 100,000 person-years). The study provides baseline information on the incidence patterns of childhood cancer from 2015 to 2019, addressing a critical gap in childhood cancer epidemiology in Ghana.