Yoxas/statistical_literacy huggingface dataset:
Knowledge of patient's health literacy (HL) in the emergency department (ED) can facilitate care delivery and reduce poor health outcomes. This systematic review investigates HL measurement instruments used in the ED and their psychometric properties, accuracy in detecting limited HL, and feasibility. We searched in five biomedical databases for studies published between 1990 and January 2021, evaluating HL measurement instruments tested in the ED on internal consistency, criterion validity, diagnostic accuracy, or feasibility. Reviewers screened studies for relevance and assessed methodologic quality with published criteria. Data were synthesized around study and instrument characteristics and outcomes of interest. Of the 2,376 references screened, seven met our inclusion criteria. Studied instruments varied in objective (n = 5) and subjective (n = 6) measurement of HL skills, and in HL constructs measured. The Brief Health Literacy Screen (BHLS) and the Subjective Numeracy Scale demonstrate acceptable and good internal consistency across studies. None of the instruments perform consistently well on criterion validity. The Rapid Estimate of Adult Literacy in Medicine-Revised and the Newest Vital Sign, both objective tests with short administration times, demonstrate good accuracy in one study with high risk of bias. The BHLS, a short subjective measure, shows moderate accuracy across studies including one with low risk of bias. Several short instruments seem valid in measuring HL and accurate in detecting limited HL among ED patients, each with its practical advantages and disadvantages and specific measurement of HL. Additional research is necessary to develop a robust evidence base supporting these instruments.
Knowledge of statistics is highly important for research scholars, as they are expected to submit a thesis based on original research as part of a PhD program. As statistics play a major role in the analysis and interpretation of scientific data, intensive training at the beginning of a PhD programme is essential. PhD coursework is mandatory in universities and higher education institutes in India. This study aimed to compare the scores of knowledge in statistics and attitudes towards statistics among the research scholars of an institute of medical higher education in South India at different time points of their PhD (i.e., before, soon after and 2-3 years after the coursework) to determine whether intensive training programs such as PhD coursework can change their knowledge or attitudes toward statistics. One hundred and thirty research scholars who had completed PhD coursework in the last three years were invited by e-mail to be part of the study. Knowledge and attitudes toward statistics before and soon after the coursework were already assessed as part of the coursework module. Knowledge and attitudes towards statistics 2-3 years after the coursework were assessed using Google forms. Participation was voluntary, and informed consent was also sought. Knowledge and attitude scores improved significantly subsequent to the coursework (i.e., soon after, percentage of change: 77%, 43% respectively). However, there was significant reduction in knowledge and attitude scores 2-3 years after coursework compared to the scores soon after coursework; knowledge and attitude scores have decreased by 10%, 37% respectively. The study concluded that the coursework program was beneficial for improving research scholars' knowledge and attitudes toward statistics. A refresher program 2-3 years after the coursework would greatly benefit the research scholars. Statistics educators must be empathetic to understanding scholars' anxiety and attitudes toward statistics and its influence on learning outcomes.
Knowledge of stroke symptoms is associated with seeking medical attention early, and knowledge of risk factors is an essential factor in stroke prevention. In this study, we evaluated the level of stroke literacy in Singapore. A cross-sectional study of Singapore citizens and permanent residents aged 21 years and above was conducted in a public housing estate. Participants were randomly sampled using multi-stage stratified sampling. Assessment of awareness of stroke symptoms and risk factors was performed using open-ended questions. In total, 687 respondents were recruited, with a response rate of 69.7%. Overall, 52.4% of respondents identified the brain as the source of pathology, and 47.6% could cite at least 1 of the 3 FAST symptoms (facial droop, arm weakness and speech difficulty), while 40% could name 2 or more of 7 established risk factors for stroke (high blood pressure, high cholesterol, cigarette smoking, diabetes mellitus, older age, previous heart attacks and stroke). Respondents at higher risk of stroke (older individuals and those with stroke risk factors) did not have greater awareness of stroke symptoms and risk factors. The majority of respondents reported they would seek immediate medical care if they experienced stroke symptoms. Only 59.4% knew the emergency ambulance service telephone number. In a sample of Singaporean adults residing in a public housing estate, we found evidence of poor stroke literacy, highlighting the need for comprehensive population-based education efforts. There is a role for opportunistic education among those at higher risk of stroke.
Knowledge of the fertility period aids women in refraining and engaging in sexual intercourse to avoid and to get pregnant, respectively. The effect of community-level factors on knowledge of the fertility period was not yet known in Kenya. Therefore, we aimed to investigate the community- and individual-level determinants of knowledge of fertility period among women of childbearing age in Kenya. The 2022 Kenyan Demography and Health Survey data was used for the current study. This study included 16,901 women of reproductive age. To account for the clustering effects of DHS data and the binary nature of the outcome variable, a multilevel binary logistic regression model was applied. An adjusted odds ratio with a 95% confidence interval was reported to declare the statistical significance. In addition, the model that had the lowest deviance was the one that best fit the data. The overall prevalence of knowledge of the fertility period among Kenyan women was 38.1% (95%CI = 37.3, 38.9). Women's age, women's education status, heard FP, contraceptive use, media exposure, and distance from health facility significant individual factors while place of residence, and community-level education, were all of factors were found to be strongly associated with knowledge of fertility period. As per the findings of our study, Knowledge of the fertility period among reproductive women was low in Kenya. In the era of increasing refusal of hormone-based family planning, fertility-awareness-based family planning methods may be an option. Promoting the correct fertility period through education and media outreach may be helpful strategies for enhancing fertility decision-making.
Knowledge tracing (KT) models students' mastery level of knowledge concepts based on their responses to the questions in the past and predicts the probability that they correctly answer subsequent questions in the future. Recent KT models are mostly developed with deep neural networks and have demonstrated superior performance over traditional approaches. However, they ignore the explicit modeling of the learning curve theory, which generally says that more practices on the same knowledge concept enhance one's mastery level of the concept. Based on this theory, we propose a Convolution-Augmented Knowledge Tracing (CAKT) model and a Capsule-Enhanced CAKT (CECAKT) model to enable learning curve modeling. In particular, when predicting a student's response to the next question associated with a specific knowledge concept, CAKT uses a module built with three-dimensional convolutional neural networks to learn the student's recent experience on that concept, and CECAKT improves CAKT by replacing the global average pooling layer with capsule networks to prevent information loss. Moreover, the two models employ LSTM networks to learn the overall knowledge state, which is fused with the feature learned by the convolutional/capsule module. As such, the two models can learn the student's overall knowledge state as well as the knowledge state of the concept in the next question. Experimental results on four real-life datasets show that CAKT and CECAKT both achieve better performance compared to existing deep KT models.
KRAS, NRAS, BRAF mutations and microsatellite instability (MSI) can be associated with Colorectal Cancer (CRC) development. We evaluated 828 medical records of CRC patients from a school hospital from January/2016 to December/2020. Variables such as age, gender, ethnicity, literacy level, smoking, alcoholism, primary anatomical site, tumor staging, presence of BRAFV600E, KRAS, NRAS mutations and MSI , survival and metastasis were identified. The statistical analyses were performed (p < 0.05 was considered significant). There was a predominance of males (51.93%), whites (90.70%), low education (72.34%), smokers (73.79%), and non-alcoholics (79.10%). Rectum was the most affected site (42.14%), advanced tumor stage was most prevalent (62.07%), and metastasis occurred in (64.61%). Of the enrolled patients; 204 were investigated for BRAF mutation and detected in (2.94%); 216 for KRAS gene and detected in (26.08%); 210 for NRAS gene, and detected in (25.36%); 370 for MSI and detected in (44.68%). A significant association of CRC with NRAS mutation and alcohol habit (p = 0.043) was observed. The presence of MSI was associated with primary site proximal colon (p < 0.000), distal colon (p = 0.001) and rectum (p = 0.010). Patients with CRC are male, over 64 years old, white, with low education, smokers and non-alcoholics. The most affected primary site is rectum in advanced stage with metastasis. CRC is associated with NRAS mutation and alcohol habit, there is increased risk for primary site of proximal colon and MSI; decreased risk for distal colon and rectum in the presence of MSI.
Kuiper's statistic is a good measure for the difference of ideal distribution and empirical distribution in the goodness-of-fit test. However, it is a challenging problem to solve the critical value and upper tail quantile, or simply Kuiper pair, of Kuiper's statistics due to the difficulties of solving the nonlinear equation and reasonable approximation of infinite series. In this work, the contributions lie in three perspectives: firstly, the second order approximation for the infinite series of the cumulative distribution of the critical value is used to achieve higher precision; secondly, the principles and fixed-point algorithms for solving the Kuiper pair are presented with details; finally, finally, a mistake about the critical value cnα for (α,n)=(0.01,30) in Kuiper's distribution table has been labeled and corrected where n is the sample capacity and α is the upper tail quantile. The algorithms are verified and validated by comparing with the table provided by Kuiper. The methods and algorithms proposed are enlightening and worth of introducing to the college students, computer programmers, engineers, experimental psychologists and so on.
Labor induction is a common obstetric intervention aimed at initiating labor when spontaneous onset is delayed or deemed necessary for maternal or fetal well-being. Despite its widespread use, the practice's impact on maternal and neonatal outcomes remains a subject of ongoing research and debate. This study aims to evaluate the maternal and neonatal outcomes associated with labor induction in a tertiary hospital setting in Tanzania. A descriptive analytical cross-sectional study was conducted over a seven-month period from January 2021 to July 2021 at Muhimbili National Hospital in Dar es Salaam, Tanzania. A total of 120 pregnant women who underwent labor induction during this period were included in the analysis. Data on maternal demographics, obstetric characteristics, indications for induction, methods of induction, labor outcomes, and neonatal outcomes were collected from medical records and analyzed descriptively. Among 4773 deliveries during the study period, 120 women underwent labor induction, accounting for 120 (2.5%) of all deliveries. The most common indications for induction were postdate pregnancy 60 (50%), hypertensive disorders of pregnancy 38 (31.7%), and premature rupture of membranes 22 (17.5%). The majority of induced women 74 (61.7%) delivered vaginally, with 46 (38.3%) undergoing cesarean section. Maternal complications were minimal, with the most common being failed induction of labor 17 (14.2%). Neonatal outcomes were generally positive, with 120 (100%) of neonates having Apgar scores of 7 or higher at five minutes, although 10 (8.3%) required admission to the neonatal ward for further care. Labor induction at Muhimbili National Hospital demonstrated favorable maternal and neonatal outcomes, with low rates of maternal complications and positive neonatal Apgar scores. Postdate pregnancy emerged as the most common indication for induction. While the study highlights the benefits of labor induction, its retrospective nature and single-center setting limit the generalizability of findings. Prospective studies with larger sample sizes are warranted to validate these findings and inform evidence-based obstetric practices.
Laboratory biosafety should be a priority in all healthcare institutions. In traditional laboratory safety teaching students typically receive knowledge passively from their teachers without active involvement. The combination of experiential learning and mobile learning may provide students with greater engagement, retention, and application of knowledge. To address this issue, we developed and conducted a convergent mixed methods study to assess the feasibility and usability of a WeChat mini program (WMP) named WeMed for laboratory biosafety education for medical laboratory students at Guangzhou Medical University (GMU). The study was conducted between November 2022 and October 2023 among second-year undergraduate students at GMU. It involved the concurrent collection, analysis, and interpretation of both qualitative and quantitative data to assess feasibility and usability. In the quantitative strand, two evaluations were conducted via online surveys from students (n = 67) after a four-week study period. The System Usability Scale (SUS) was used to evaluate usability, while self-developed questions were used to assess feasibility. Additionally, a knowledge test was administered 6 months after the program completion. In the qualitative strand, fourteen semi-structured interviews were conducted, whereby a reflexive thematic analysis was utilized to analyze the interview data. The overall SUS score is adequate (M = 68.17, SD = 14.39). The acceptability of the WeMed program is in the marginal high range. Most students agreed that WeMed was useful for learning biosafety knowledge and skills (13/14, 93%), while 79% (11/14) agreed it was easy to use and they intended to continue using it. After 6 months, a significant difference in the knowledge test scores was observed between the WeMed group (n = 67; 2nd year students) and the traditional training group (n = 90; 3rd year students). However, the results should be interpreted cautiously due to the absence of a pretest. The combination of experiential learning and mobile learning with WMP is a feasible tool for providing laboratory biosafety knowledge and skills. Ongoing improvements should be made in order to increase long-term acceptance.
Lack of access to risk-appropriate maternity services, particularly for rural residents, is thought to be a leading contributor to disparities in maternal morbidity and mortality. There are several existing measures of access to obstetric care in the literature and popular media. In this study, we explored how current measures of obstetric access inform the number and location of additional obstetric care facilities required to improve access. We formulated two facility location optimization models to determine the number of new facilities required to minimize the number of reproductive-aged women who lack access to obstetric care. We define regions with a lack of access as either maternity care deserts, designated by the March of Dimes to be counties with no obstetric care facility or obstetric providers, or regions further than 50 miles from critical care obstetric (CCO) services. We gathered information on hospitals with obstetric services from Georgia Department of Public Health public reports and estimated the female reproductive-age population by census block group using the American Community Survey. Out of the 1,910,308 reproductive-aged women who live in Georgia, 104,158 (5.5%) live in maternity care deserts, 150,563 (7.9%) reproductive-aged women live further than 50 miles from CCO services, and 38,202 (2.0%) live in both maternity care desert and further than 50 miles from CCO services. Our optimization analysis suggests that at least 56 new obstetric care facilities (a 67% increase) would be required to eliminate maternity care deserts in Georgia. However, the expansion of 8 facilities would ensure all women in Georgia live within 50 miles of CCO services. Current measures of access to obstetric care may not be sufficient for evaluating access and planning action toward improvements. In a state like Georgia with a large number of small counties, eliminating maternity care deserts would require a prohibitively large number of new obstetric care facilities. This work suggests that additional measures and tools are needed to estimate the number and type of obstetric care facilities that best match practical resources to meet obstetric care needs.
Lack of childcare for children aged 0-3 years has emerged as a global crisis, accentuated by women's increasing workforce participation and recognition that young children require nurturing care. Through this systematic review, we sought to examine associations between childcare centre attendance in low- and middle-income countries (LMICs) and children's health, growth, and development, and to generate childcare centre programmatic and research recommendations for children aged 0-3 years. We systematically searched PsycINFO, MEDLINE, PubMed, and Cochrane for articles on centre-based childcare for children aged 0-3 years in LMICs, published between 2000 and 2021 in English (or which were translated into English). We excluded articles on specialised subgroups or interventions. We imported the retrieved articles into Covidence for review and assessed them for bias using the National Institutes of Health (NIH) quality assessment tool. Twenty-two articles (24 studies) met the inclusion criteria, encompassing 36 927 children from 10 countries across Mexico and South America (n = 12), Africa (n = 5), and Asia (n = 5). Outcomes included health (n = 12), growth/nutrition (n = 6), and development (n = 6). Study quality assessments were low; 41% exceeded 50% of quality criteria and 45% adjusted for confounders. Associations between childcare attendance and outcome measures were primarily negative for health (n/N = 7/12) and positive for growth/nutrition (n/N = 5/6) and development (n/N = 4/6). Childcare centre programmatic recommendations for children aged 0-3 years included: age-specific policies; program quality, including safety, hygiene, nutrition, and curriculum; access and affordability; parent engagement; financial support; and workforce development. Research recommendations included: study design, including enrolment age, frequency, duration, childcare type, home and childcare sociodemographic and cultural environments, child and caregiver outcomes, and analytical approaches; longitudinal studies; and implementation research. Rigorous primary research in global childcare for young children is urgently needed. Policies, programmes, and investments in high-quality childcare can promote nurturing care for young children, enabling mothers to participate in the workforce. PROSPERO: CRD42018105576.
Lack of conceptual clarity and measurement methods have led to underdeveloped efforts to measure experience of participation in care by next of kin to older people in nursing homes. We sought to assess the measurement properties of items aimed at operationalizing participation in care by next of kin, applied in nursing homes. A total of 37 items operationalizing participation were administered via a questionnaire to 364 next of kin of older people in nursing homes. Measurement properties were tested with factor analysis and Rasch model analysis. The response rate to the questionnaire was 81% (n = 260). Missing responses per item varied between <0.5% and 10%. The 37 items were found to be two-dimensional, and 19 were deleted based on conceptual reasoning and Rasch model analysis. One dimension measured communication and trust (nine items, reliability 0.87) while the other measured collaboration in care (nine items, reliability 0.91). Items successfully operationalized a quantitative continuum from lower to higher degrees of participation, and were found to generally fit well with the Rasch model requirements, without disordered thresholds or differential item functioning. Total scores could be calculated based on the bifactor subscale structure (reliability 0.92). Older people (≥ 65 years) reported a higher degree of communication and trust and bifactor total scores than younger people (p < 0.05 in both cases). People with a specific contact person experienced a higher degree of participation in the two subscales and the bifactor total score (p < 0.05 in all three instances). Psychometric properties revealed satisfactory support for use, in nursing home settings, of the self-reported Next of Kin Participation in Care questionnaire, with a bifactor structure. Additional research is needed to evaluate the effectiveness of the scales' abilities to identify changes after intervention. The KUPA project has Clinical Trials number NCT02708498.
Lack of experience communicating with patients and families at the end of life are key concerns for nursing students. Palliative care simulation using standardized patients (SPs) focusing on difficult conversations may lead to increased self-confidence in providing palliative and end-of-life care in clinical practice. There is currently a paucity of research on SP palliative care simulations in undergraduate nursing education. The objective of this research was to assess 3rd year undergraduate nursing students' levels of satisfaction and self-confidence with palliative and end-of-life care simulations focusing on difficult conversations, as measured by the Student Satisfaction and Self-Confidence in Learning Scale (SSSCLS) and the Simulation Design Scale (SDS). A descriptive post-intervention study. Four palliative care simulation days, consisting of 2 clinical scenarios, were conducted over 4 weeks. The first simulation was an outpatient palliative care clinic scenario, and the second was an inpatient hospital scenario. Nursing students enrolled in a 3rd year nursing palliative care elective (n = 51) at an Australian university were invited to participate. Students who attended simulation days were eligible to participate (n = 31). Immediately post-simulation, students were invited to complete the SSSCLS and the SDS. Fifty-seven surveys were completed (simulation 1, n = 28; simulation 2, n = 29). The data were analyzed using descriptive statistics. Results showed that students had high levels of self-confidence in developing palliative care and communication skills after both simulation experiences and high levels of satisfaction with the SP simulations. The lack of published literature on palliative care and end-of-life SP simulation highlights the need to collect further evidence to support this as an innovative approach to teaching palliative care. SP palliative care simulation focusing on difficult conversations assists in developing students' communication skills and improves satisfaction and self-confidence with palliative and end-of-life care.