Yoxas/statistical_literacy huggingface dataset:
Active involvement of persons living with dementia (PLWD) and long-term care (LTC) users in research is essential but less developed compared to other patient groups. However, their involvement in research is not only important but also feasible. This study aims to provide an overview of methods, facilitators, and barriers for involving PLWD and LTC users in scientific research. A systematic literature search across 12 databases in December 2020 identified studies involving PLWD, LTC users, or their carers beyond research subjects and describing methods or models for involvement. Qualitative descriptions of involvement methods underwent a risk of bias assessment using the Critical Appraisal Skills Programme (CASP) Qualitative Checklist 2018. A data collection sheet in Microsoft Excel and thematic analysis were used to synthesize the results. The eighteen included studies delineated five core involvement methods spanning all research phases: advisory groups, formal and informal research team meetings, action groups, workshops, and co-conducting interviews. Additionally, two co-research models with PLWD and carers were found, while only two studies detailed LTC user involvement methods. Four distinct involvement roles were identified: consulting and advisory roles, co-analysts, co-researchers, and partners. The review also addressed barriers, facilitators, and good practices in the preparation, execution, and translation phases of research, emphasizing the importance of diversity, bias reduction, and resource allocation. Trust-building, clear roles, ongoing training, and inclusive support were highlighted. Planning enough time for active involvement is important to ensure that researchers have time to build a trusting relationship and meet personal needs and preferences of PLWD, LTC users and carers. Researchers are advised not to presume the meaning of burden and to avoid a deficit perspective. A flexible or emergent design could aid involved persons' ownership of the research process. Prospero 2021: CRD42021253736.
Active learning (AL) attempts to select informative samples in a dataset to minimize the number of required labels while maximizing the performance of the model. Current AL in segmentation tasks is limited to the expansion of popular classification-based methods including entropy, MC-dropout, etc. Meanwhile, most applications in the medical field are simply migrations that fail to consider the nature of medical images, such as high class imbalance, high domain difference, and data scarcity. In this study, we address these challenges and propose a novel AL framework for medical image segmentation task. Our approach introduces a pseudo-label-based filter addressing excessive blank patches in medical abnormalities segmentation tasks, e.g., lesions, and tumors, used before the AL selection. This filter helps reduce resource usage and allows the model to focus on selecting more informative samples. For the sample selection, we propose a novel query strategy that combines both model impact and data stability by employing adversarial attack. Furthermore, we harness the adversarial samples generated during the query process to enhance the robustness of the model. The experimental results verify our framework's effectiveness over various state-of-the-art methods. Our proposed method only needs less than 14% annotated patches in 3D brain MRI multiple sclerosis (MS) segmentation tasks and 20% for Low-Grade Glioma (LGG) tumor segmentation to achieve competitive results with full supervision. These promising outcomes not only improve performance but alleviate the time burden associated with expert annotation, thereby facilitating further advancements in the field of medical image segmentation. Our code is available at https://github.com/HelenMa9998/adversarial_active_learning.
Active learning has been shown to increase STEM student engagement and decrease the achievement gap among underrepresented students. As a parallel to the lack of equity in STEM education, BIPOC patients who require a life-saving hematopoietic cell transplantation (HCT) are much less likely-sometimes less than half as likely-than individuals of White-European descent to find a suitable donor when using the National Marrow Donation Program (NMDP). The Be the Match (BtM) Registry has made significant improvements in the likelihood of matching underrepresented patients, but the disparity persists. This activity uses a service-learning project to teach undergraduate students about stem cell donation and to add potential stem cell donors to the BtM Registry. A small data set of pre-/post-surveys from one cohort shows learning gains on the topic of HCT. The approach is flexible and scalable, and students overwhelmingly reported the project as a great use of class time and very rewarding.
Active learning strategies engage students and promote student-centered learning environments. Implementing active learning in a HyFlex environment during the Fall of 2020 global pandemic was challenging. We describe the Interactive Synchronous HyFlex approach to teaching design thinking at the introductory college level and explore impacts on students' basic psychological needs, including autonomy, competence, and relatedness. Aligned with Self-Determination Theory, active learning has been shown to motivate students and increase performance and retention in science, engineering, and mathematics disciplines, among others (Freeman et al., 2014; Lo & Hew, 2019). In active environments, the predominant mode of instruction is not lecture based and it engages students through student-to-student interactions and student-to-instructor interactions. The flipped classroom is a pedagogical model in which the typical lecture and homework elements of a course are reversed. This model of instruction is ideal for our design thinking course used as a context for this study because students are challenged to learn by doing. In active learning courses, students engage in video-recorded lectures or talks, text-based materials and online quizzes, or other preparation activities before and in preparation for class (Bishop & Verleger, 2013; Lo et al., 2017; O'Flaherty & Phillips, 2015). Scheduled class meeting time is used for engagement and interaction between students informed by a social constructivist learning theory. Students challenge each other to apply what they have learned with guidance and support from the instructor.
Active mobility, such as cycling and walking, is assuming a growing significance in the daily lives of urban residents in China due to its positive impact on health and the environment. The impact of the COVID-19 epidemic has elicited significant changes in behaviors, perceptions, and intellectual viewpoints in this domain, potentially altering residents' physical activities in the long-term. This scoping review seeks to delve into the multi-dimensional influence of the epidemic on active mobility in urban China. A thorough investigation of English and Chinese studies up to January 2024 was conducted, drawing from articles in Web of Science and the Chinese National Knowledge Infrastructure. Only empirical studies providing knowledge into this subject were selected in the review, which comprised 20 studies in total. This review indicates that the influence of COVID-19 on active urban mobility in China has exhibited contradictory outcomes in terms of behavior. Besides, the experiences during the epidemic have significantly shaped citizens' attitudes and understanding of active mobility. The repercussions of the epidemic and the ensuing restrictions exacerbate the existing challenges faced by women, particularly those who are married, the older adult, and individuals with low incomes. The results exhibit both resemblances and idiosyncrasies when juxtaposed with prior research conducted in different nations. This analysis also offers valuable insights for improving active mobility across individual, organizational, and socio-political realms. The current state of empirical understanding in this field underscores the need for further research endeavors employing diverse methodological approaches and increased emphasis on the transformations anticipated in the post-epidemic era.
Active Support is a person-centred practice that enables people with intellectual disabilities (IDs) to engage in meaningful activities and social interactions. The Active Support Measure (ASM) is an observational tool designed to measure the quality of support that people with IDs living in supported accommodation services receive from staff. The aim of the study was to explore the underlying constructs of the ASM. Multilevel exploratory factor analysis was conducted on ASM data (n = 884 people with IDs across 236 accommodation services) collected during a longitudinal study of Active Support in Australian accommodation services. Multilevel exploratory factor analysis indicated that 12 of the ASM's 15 items loaded on two factors, named Supporting Engagement in Activities and Interacting with the Person. The 12-item ASM measures two dimensions of the quality of staff support. Both technical and interpersonal skills comprise good Active Support.
Active surveillance (AS) is the preferred strategy for low-risk prostate cancer (LRPC); however, limited data on determinants of AS adoption exist, particularly among Black men. Black and White newly diagnosed (from January 2014 through June 2017) patients with LRPC ≤75 years of age were identified through metro-Detroit and Georgia population-based cancer registries and completed a survey evaluating factors influencing AS uptake. Among 1688 study participants, 57% chose AS (51% of Black participants, 61% of White) over definitive treatment. In the unadjusted analysis, patient factors associated with initial AS uptake included older age, White race, and higher education. However, after adjusting for covariates, none of these factors was significant predictors of AS uptake. The strongest determinant of AS uptake was the AS recommendation by a urologist (adjusted prevalence ratio, 6.59, 95% CI, 4.84-8.97). Other factors associated with the decision to undergo AS included a shared patient-physician treatment decision, greater prostate cancer knowledge, and residence in metro-Detroit compared with Georgia. Conversely, men whose decision was strongly influenced by the desire to achieve "cure" or "live longer" with treatment and those who perceived their LRPC diagnosis as more serious were less likely to choose AS. In this contemporary sample, the majority of patients with newly diagnosed LRPC chose AS. Although the input from their urologists was highly influential, several patient decisional and psychological factors were independently associated with AS uptake. These data shed new light on potentially modifiable factors that can help further increase AS uptake among patients with LRPC.
Acute coronary syndrome is a significant global health concern that can affect patients' health outcomes and quality of life. In addition, adherence to treatment and health literacy can affect health outcomes. This study aimed to investigate the relationship between treatment adherence, health literacy, and quality of life among patients with acute coronary syndrome. This cross-sectional study was conducted on 407 patients in Iran from April 2019 to November 2019. Patients were selected by convenience sampling method. Data were collected using demographic questionnaire, World Health Organization Quality of Life Brief Version, Adherence to Treatment Questionnaire, and Health Literacy for Iranian Adults questionnaire. SPSS 25 was used for statistical analysis. Based on descriptive statistics in this study, most of the participants had good treatment adherence level (56.5%); 28.7% of the participants had insufficient health literacy level. The mean score of quality of life was 51.41 ± 12.03, which was greater than the midpoint of the questionnaire. Furthermore, Pearson's correlation coefficient showed a negative association between health literacy, treatment adherence (r = -0.167, p < .01), and quality of life (r = -0.153, p < .01), and a positive association between treatment adherence and quality of life (r = 0.169, p < .01). The results of the current study showed a negative relationship between health literacy, quality of life, and treatment adherence among patients with acute coronary syndrome. [HLRP: Health Literacy Research and Practice. 2023;7(2):e71-e79. ].
Acute diarrhoea is a significant cause of morbidity and mortality in children under five, especially in subSaharan Africa. The WHO recommends using oral rehydration solution (ORS) and zinc therapy for its management, but the metallic taste of zinc often hinders adherence. This prospective open-label intervention study took place at three health facilities in Lagos, Southwest Nigeria, involving children aged 3 to 59 months with acute diarrhoea. Sociodemographic and diarrhoea-related data were obtained. Palatability was assessed using a 5-point hedonic scale, and adherence was determined by the proportion of prescribed zinc sulfate tablets consumed. Caregivers received a 10-day supply of the study drug and ORS sachets for each child, along with participant diaries for tracking drug intake, palatability scores, and adverse events. Follow-up was conducted on Days 3 and 7, and diaries were collected between Days 10 and 14. Out of the 294 participants, most caregivers were mothers (86.0%), had at least a secondary education (88.1%), and were employed (70.7%). The majority of children were male (54.2%), and under 18 months old (52.2%). The average palatability score was 2.65 (±0.78), with no significant differences based on age or gender. Mean adherence was 93.03%, with 89.3% achieving ≥80% adherence, and adherence did not significantly differ by age or gender. The only reported adverse event, vomiting, decreased from 18.8% on Day 1 to 0.5% on Day 10. The study indicates that the orange-flavored dispersible zinc sulfate tablet is well-accepted by children aged 3 to 59 months with acute diarrhoea in Lagos, Nigeria.
Acute Kidney Injury (AKI) and Continuous Renal Replacement Therapy (CRRT) are critical areas in nephrology. The effectiveness of ChatGPT in simpler, patient education-oriented questions has not been thoroughly assessed. This study evaluates the proficiency of ChatGPT 4.0 in responding to such questions, subjected to various linguistic alterations. Eighty-nine questions were sourced from the Mayo Clinic Handbook for educating patients on AKI and CRRT. These questions were categorized as original, paraphrased with different interrogative adverbs, paraphrased resulting in incomplete sentences, and paraphrased containing misspelled words. Two nephrologists verified the questions for medical accuracy. A chi-squared test was conducted to ascertain notable discrepancies in ChatGPT 4.0's performance across these formats. ChatGPT provided notable accuracy in handling a variety of question formats for patient education in AKI and CRRT. Across all question types, ChatGPT demonstrated an accuracy of 97% for both original and adverb-altered questions and 98% for questions with incomplete sentences or misspellings. Specifically for AKI-related questions, the accuracy was consistently maintained at 97% for all versions. In the subset of CRRT-related questions, the tool achieved a 96% accuracy for original and adverb-altered questions, and this increased to 98% for questions with incomplete sentences or misspellings. The statistical analysis revealed no significant difference in performance across these varied question types (p-value: 1.00 for AKI and 1.00 for CRRT), and there was no notable disparity between the AI's responses to AKI and CRRT questions (p-value: 0.71). ChatGPT 4.0 demonstrates consistent and high accuracy in interpreting and responding to queries related to AKI and CRRT, irrespective of linguistic modifications. These findings suggest that ChatGPT 4.0 has the potential to be a reliable support tool in the delivery of patient education, by accurately providing information across a range of question formats. Further research is needed to explore the direct impact of AI-generated responses on patient understanding and education outcomes.
Acute kidney injury (AKI) is a common and devastating complication of hospitalization. Here, we identified genetic loci associated with AKI in patients hospitalized between 2002-2019 in the Million Veteran Program and data from Vanderbilt University Medical Center's BioVU. AKI was defined as meeting a modified KDIGO Stage1 or more for two or more consecutive days or kidney replacement therapy. Control individuals were required to have one or more qualifying hospitalization without AKI and no evidence of AKI during any other observed hospitalizations. Genome-wide association studies (GWAS), stratified by race, adjusting for sex, age, baseline estimated glomerular filtration rate (eGFR), and the top ten principal components of ancestry were conducted. Results were meta-analyzed using fixed effects models. In total, there were 54,488 patients with AKI and 138,051 non-AKI individuals included in the study. Two novel loci reached genome-wide significance in the meta-analysis: rs11642015 near the FTO locus on chromosome 16 (obesity traits) (odds ratio 1.07 (95% confidence interval, 1.05-1.09)) and rs4859682 near the SHROOM3 locus on chromosome 4 (glomerular filtration barrier integrity) (odds ratio 0.95 (95% confidence interval, 0.93-0.96)). These loci colocalized with previous studies of kidney function, and genetic correlation indicated significant shared genetic architecture between AKI and eGFR. Notably, the association at the FTO locus was attenuated after adjustment for BMI and diabetes, suggesting that this association may be partially driven by obesity. Both FTO and the SHROOM3 loci showed nominal evidence of replication from diagnostic-code-based summary statistics from UK Biobank, FinnGen, and Biobank Japan. Thus, our large GWA meta-analysis found two loci significantly associated with AKI suggesting genetics may explain some risk for AKI.
Acute laryngitis is a common disease with self-limiting nature. Since the leading cause is attributed to viral infections and thus self-limiting, many affected individuals do not seek professional medical help. However, because the major symptom of hoarseness imposes a substantial burden in everyday life, it might be speculated that web-based search interest on this condition follows incidence rates, with highest peaks during winter months. The aim of this study was to evaluate global public health-information seeking behaviour on laryngitis-related search terms. We utilized Google Trends to assess country-specific, representative laryngitis-related search terms for English and non-English speaking countries of both hemispheres. Extracted time series data from Australia, Brazil, Canada, Germany, the United Kingdom, and the United States of America, covering a timeframe between 2004 and 2019 were first assessed for reliability, followed by seasonality analysis using the cosinor model. Direct comparisons revealed different, representative laryngitis-related search terms for English- and non-English speaking countries. Extracted data showed a trend of higher reliability in countries with more inhabitants. Subsequent graphical analysis revealed winter peaks in all countries from both hemispheres. Cosinor analysis confirmed these seasonal variations to be significant (all P < 0.001). Public interest in laryngitis-related, online health information displayed seasonal variations in countries from both hemispheres, with highest interest during winter months. These findings emphasize the importance to optimize the distribution of reliable, web-based health education in order to prevent the spread of misinformation and to improve health literacy among general populations.
Acute respiratory distress syndrome (ARDS) is a heterogeneous condition with two subphenotypes identified by different methodologies. Our group similarly identified two ARDS subphenotypes using nine routinely available clinical variables. However, whether these are associated with differential response to treatment has yet to be explored. Are there differential responses to positive end-expiratory pressure (PEEP) strategies on 28-day mortality according to subphenotypes in adult patients with ARDS? We evaluated data from two prior ARDS trials (ALVEOLI and ART) that compared different PEEP strategies. We classified patients into one of two subphenotypes as previously described. We assessed the differential effect of PEEP with a Bayesian hierarchical logistic model for the primary outcome of 28-day mortality. We analyzed data from 1559 ARDS patients. Compared to lower PEEP, a higher PEEP strategy resulted in higher 28-day mortality in subphenotype A patients in ALVEOLI (OR, 1.61 [95% CrI 0.90 to 2.94]) and ART (OR 1.73 [ 95% CrI 1.01 to 2.98]), with a probability of harm from higher PEEP in this subphenotype of 94.3% and 97.7% in ALVEOLI and ART, respectively. Higher PEEP was not associated with mortality in subphenotype B patients in each trial (OR, 0.95 [95% CrI, 0.51 to 1.73]) and (OR, 1.00 [95% CrI 0.63 to 1.55]); probability of benefit of 56.4% and 50.7% in ALVEOLI and ART, respectively. These effects were not modified by PaO2/FiO2 ratio, driving pressure, or the severity of illness for the cohorts. We found evidence of differential response to PEEP strategies across two ARDS subphenotypes, suggesting possible harm with a higher PEEP strategy in one subphenotype. These observations may assist with predictive enrichment in future clinical trials.
Acute Respiratory infection accounts for 94,037000 disability adjusted life years and 1.9 million deaths worldwide. Acute respiratory infections is the most common causes of under-five illness and mortality. The under five children gets three to six episodes of acute respiratory infections annually regardless of where they live. Disease burden due to acute respiratory infection is 10-50 times higher in developing countries when compared to developed countries. The aim of this study was to assess risk factors of acute respiratory infection among under-five children attending Public hospitals in Southern Tigray, Ethiopia 2016/2017. Institution based case control study was conducted from Nov 2016 to June 2017. Interviewer administered structured questionnaire was used to collect data from a sample of 288 (96 cases and 192 controls) children under 5 years of age. Systematic random sampling was used to recruit study subjects and SPSS version 20 was used to analyze the data. Bivariate and multivariate analysis were employed to examine statistical association between the outcome variable and selected independent variables at 95% confidence level. Level of statistical Significance was declared at p < 0.05. Tables, figures and texts were used to present data. One hundred sixty (55.6%) and 128 (44.4%) of the participants were males and females respectively. Malnutrition (AOR = 2.89; 95%CI: 1.584-8.951; p = 0.039), cow dung use (AOR =2.21; 95%CI: 1.121-9.373; p = 0.014), presence of smoker in the family (AOR = 0.638; 95% CI: 0.046-0.980; p = 0.042) and maternal literacy (AOR = 3.098; 95%CI: 1.387-18.729; p = 0.021) were found to be significant predictors of acute respiratory infection among under five children. According to this study maternal literacy, smoking, cow dung use and nutritional status were strongly associated with increased risk of childhood acute respiratory infection. Health care providers should work jointly with the general public, so that scientific knowledge and guidelines for adopting particular preventive measures for acute respiratory infection are disseminated.