Yoxas/statistical_literacy huggingface dataset:
Surgical video contains data with significant potential to improve surgical outcome assessment, quality assurance, education, and research. Current utilisation of surgical video recording is unknown and related policies/governance structures are unclear. A nationwide Freedom of Information (FOI) request concerning surgical video recording, technology, consent, access, and governance was sent to all acute National Health Service (NHS) trusts/boards in England/Wales between 20th February and 20th March 2023. 140/144 (97.2%) trusts/boards in England/Wales responded to the FOI request. Surgical procedures were routinely recorded in 22 trusts/boards. The median estimate of consultant surgeons routinely recording their procedures was 20%. Surgical video was stored on internal systems (n = 27), third-party products (n = 29), and both (n = 9). 32/140 (22.9%) trusts/boards ask for consent to record procedures as part of routine care. Consent for recording included non-clinical purposes in 55/140 (39.3%) trusts/boards. Policies for surgeon/patient access to surgical video were available in 48/140 (34.3%) and 32/140 (22.9%) trusts/boards, respectively. Surgical video was used for non-clinical purposes in 64/140 (45.7%) trusts/boards. Governance policies covering surgical video recording, use, and/or storage were available from 59/140 (42.1%) trusts/boards. There is significant heterogeneity in surgical video recording practices in England and Wales. A minority of trusts/boards routinely record surgical procedures, with large variation in recording/storage practices indicating scope for NHS-wide coordination. Revision of surgical video consent, accessibility, and governance policies should be prioritised by trusts/boards to protect key stakeholders. Increased availability of surgical video is essential for patients and surgeons to maximally benefit from the ongoing digital transformation of surgery. KL is supported by an NIHR Academic Clinical Fellowship and acknowledges infrastructure support for this research from the National Institute for Health Research (NIHR) Imperial Biomedical Research Centre (BRC).
Surgical volume at Military Treatment Facilities (MTFs) has been gradually decreasing for roughly the past 2 decades. The Knowledge, Skills, and Abilities (KSA) Clinical Readiness Program linked surgical volume and readiness using a tool known as the KSA metric. However, the extent to which military medical missions contribute to the readiness of critical wartime specialties has not been evaluated using this metric. In this study, a retrospective analysis was conducted using the surgical case logs from the US Naval Ship (USNS) Comfort missions in 2018 and 2019. The comprehensive case log data were categorized by year, surgeon, procedure, and location. The analysis focused on providing detailed descriptive statistics, including percentages pertaining to the types of procedures performed during these missions. The 2018 mission was 11 weeks in duration, and supported activities in Ecuador, Peru, Colombia, and Honduras. The USNS Comfort mission in 2019 lasted 6 months (June-November 2019), and visited 12 countries in Central America, South America, and the Caribbean. The 2019 mission case log, spanning 6 months, was evaluated using the KSA score in order to assess readiness and compare against 6 months of MTF KSA values within the same calendar year. In 2019, the orthopedic surgeon aboard the USNS Comfort had a total KSA score of 44,006, but the 6-month USNS Comfort mission only contributed 5,364 points (12% of the annual score). The general surgery practice aboard the USNS Comfort produced lower KSA scores compared to each surgeon's respective MTF practice (Table III). Analyzing the cases logged by general surgeons also highlights minimal surgical diversity during these missions, with more than 90% of cases being hernia repairs or laparoscopic cholecystectomies (Table I). In addition, 35% of total procedures performed in 2018 and 2019 were performed laparoscopically. The analysis of operative data from the 2019 USNS Comfort mission, in comparison with the surgeons' work at their respective MTFs, reveals limited benefit in the ability of hospital-ship missions to bolster surgical readiness as measured by the KSA score. However, this is not a reflection on the value of Global Health Engagement (GHE) itself but a review of the way in which it is leveraged to support surgical readiness. Military surgeons participate in GHE as part of a larger strategy to strengthen relationships with partner nations, improve military medical force interoperability, and bolster partner nation medical capacity and capabilities. The KSA score offers an excellent tool to compare readiness metrics across significantly different GHE missions, and facilitates the opportunity for future prospective studies to improve case volume, diversity, and ultimately readiness.
Surveillance, Epidemiology, and End Results (SEER) cancer registries provides information about survival duration and cause of death for cancer patients. Baseline demographic and tumor characteristics such as age, sex, race, year of diagnosis, and tumor stage can inform the expected survival time of patients, but their associations with survival may not be constant over the post-diagnosis period. Using SEER data, we examined if there were time-varying associations of patient and tumor characteristics on survival, and we assessed how these relationships differed across 14 cancer sites. Standard Cox proportional hazards models were extended to allow for time-varying associations and incorporated into a competing-risks framework, separately modeling cancer-specific and other-cause deaths. For each cancer site and for each of the five factors, we estimated the relative hazard ratio and absolute hazard over time in the presence of competing risks. Our comprehensive consideration of patient and tumor characteristics when estimating time-varying hazards showed that the associations of age, tumor stage at diagnosis, and race/ethnicity with risk of death (cancer-specific and other-cause) change over time for many cancers; characteristics of sex and year of diagnosis exhibit some time-varying patterns as well. Stage at diagnosis had the largest associations with survival. These findings suggest that proportional hazards assumptions are often violated when examining patient characteristics on cancer survival post-diagnosis. We discuss several interesting results where the relative hazards are time-varying and suggest possible interpretations. Based on the time-varying associations of several important covariates on survival after cancer diagnosis using a pan-cancer approach, the likelihood of the proportional hazards assumption being met or corresponding interpretation should be considered in survival analyses, as flawed inference may have implications for cancer care and policy.
Surveys conducted in different regions of the world show that the prevalence rates of health risk behaviors (HRBs) in university students are sometimes higher than those found in non-university populations. This study aims to identify the prevalence rates and demographic and academic environment correlates associated with HRBs among Brazilian university students. In a cross-sectional epidemiological study, a random sample of 5310 university students answered an online questionnaire, with demographic (sex, age, skin color, marital status, and paid work) and academic setting information (housing type, size of campus, year, and shift of study), as well as items clustered in four HRB domains: personal safety and violence, sexual behavior and contraception, addictive substance use, eating habits, physical activity, and sleep. The data were analyzed statistically using bivariate analysis and hierarchical multiple regression. The highest prevalence rates occurred in HRBs clustered in the domain of eating habits, physical activity, and sleep (>60%), while HRBs for personal security and violence were less prevalent (<15%). From 15% to 35% of university students assumed HRBs regarding addictive substance use, and approximately 50% reported risky sexual behavior. The university students most susceptible to HRBs were men, aged ≥ 22 years, living far from their family, studying on larger campuses, attending night classes, and with two or more years of study at the university. The findings suggest that policies and interventions in the university context aimed at students' readiness to engage in a healthy lifestyle should target specific correlates associated with HRBs.
Surveys in neonatal perinatal medicine are practical instruments for gathering information about medical practices, and outcomes related to the care of newborns and infants. This includes research for identifying needs, assessing requirements, analyzing the effects of change, creating policies, and developing curriculum initiatives. Surveys also provide useful data for enhancing the provision of healthcare services, assessing medical specialties, and evaluating training programs. However, creating a high-quality survey can be difficult for many practitioners, particularly when deciding how to formulate the right questions, whether to utilize various types of questions and how best to arrange or format the survey tool for effective responses. Problems with design principles have been evident in many surveys submitted for dissemination to the members of the Section of Neonatal Perinatal Medicine (SoNPM). To prevent potential measurement errors and increase the quality of surveys, it is crucial to follow a systematic approach in developing surveys by adhering to the principles of effective survey design. This review article provides a brief summary of survey use within the SoNPM, and offers guidance for creating high-quality surveys, including identifying important factors to consider in survey development and characteristics of well-written and effective questions. We briefly note techniques that optimize survey design for distribution through digital media.
Survival of children with cancer has markedly improved over recent decades, largely due to intensified treatment regimes. The intensive treatment may, however, result in fatal complications. In this retrospective cohort study, we assessed temporal variation in the incidence of treatment-related death and associated risk factors among children diagnosed with cancer in Denmark during 2001-2021. Among all children diagnosed with first incident cancer before age 15 years recorded in the Danish Childhood Cancer Register (n = 3,255), we estimated cumulative incidence of treatment-related death (death in the absence of progressive cancer) within 5 years from diagnosis using Aalen-Johansen estimators and assessed associated risk factors using Cox regression. Among all 3,255 children with cancer, 93 (20% of all 459 deaths) died from treatment. Of these treatment-related deaths, 39 (42%) occurred within 3 months of diagnosis. The 5-year cumulative incidences of treatment-related death were 3.3% during 2001-2010 and 2.5% during 2011-2021 (p = 0.20). During 2011-2021, treatment-related deaths accounted for more than half of all deaths among children with haematological cancers. Risk factors varied according to cancer group and included female sex, age below 1 year at diagnosis, disease relapse, stem cell transplantation, central nervous system involvement, and metastasis at diagnosis. Despite increasing treatment intensities, the incidence of treatment-related death has remained stable during the past 20 years in Denmark. Still, clinical attention is warranted to prevent treatment-related deaths, particularly among children with haematological cancers. Patient characteristics associated with increased treatment-related death risk support patient-specific treatment approaches to avoid these fatalities.
Survival prediction using high-dimensional molecular data is a hot topic in the field of genomics and precision medicine, especially for cancer studies. Considering that carcinogenesis has a pathway-based pathogenesis, developing models using such group structures is a closer mimic of disease progression and prognosis. Many approaches can be used to integrate group information; however, most of them are single-model methods, which may account for unstable prediction. We introduced a novel survival stacking method that modeled using group structure information to improve the robustness of cancer survival prediction in the context of high-dimensional omics data. With a super learner, survival stacking combines the prediction from multiple sub-models that are independently trained using the features in pre-grouped biological pathways. In addition to a non-negative linear combination of sub-models, we extended the super learner to non-negative Bayesian hierarchical generalized linear model and artificial neural network. We compared the proposed modeling strategy with the widely used survival penalized method Lasso Cox and several group penalized methods, e.g., group Lasso Cox, via simulation study and real-world data application. The proposed survival stacking method showed superior and robust performance in terms of discrimination compared with single-model methods in case of high-noise simulated data and real-world data. The non-negative Bayesian stacking method can identify important biological signal pathways and genes that are associated with the prognosis of cancer. This study proposed a novel survival stacking strategy incorporating biological group information into the cancer prognosis models. Additionally, this study extended the super learner to non-negative Bayesian model and ANN, enriching the combination of sub-models. The proposed Bayesian stacking strategy exhibited favorable properties in the prediction and interpretation of complex survival data, which may aid in discovering cancer targets.
Suspected cases of tuberculosis (TB) are identified for confirmation by bacteriological tests through clinical screening for TB in people living with human immunodeficiency virus (HIV) during routine visits or when antiretrovirals (ARVs) are dispensed. Our aim is to determine the prevalence and describe the epidemiological and clinical characteristics of HIV-TB coinfected patients in the coronavirus disease 2019 (COVID-19) setting in health facilities in the East Region of Cameroon. This study addresses knowledge gaps on HIV-TB coinfection during COVID-19, aiming to provide insights into the interaction and impact of HIV, TB, and COVID-19 on individuals' health. This was an observational study. It involved two retrospective cohorts of HIV-TB coinfected patients before and after the COVID-19 pandemic. We conducted manual reviews of the medical records and antiretroviral therapy (ART) and TB registers of 262 patients. These patients were coinfected with HIV and TB during the period from April 2019 to April 2021 in 11 health facilities in the East Cameroon health region. The sociodemographic and clinical characteristics of the cases were extracted from the consultation registers and entered into the KoBo Collect application, then analyzed using the Statistical Package for the Social Sciences (SPSS) software, version 25. In this study of 262 HIV-TB coinfection cases, 60.3% occurred before COVID-19, and 39.7% during the pandemic. HIV-TB coinfection prevalence among HIV patients was 1%. Patients averaged 39.3 years in age, with a significant shift in sex ratios from 0.65 to 1.33 between pre-COVID-19 and COVID-19 cohorts. Education varied, with 45.8% having secondary education, 44.8% with primary, 2.4% having higher education, and 7.1% having none. Most (78.9%) had professional occupations, and 53.7% lived in rural areas. The majority were newly diagnosed (96.3% before COVID-19; 93.3% during COVID-19), with 3.7% relapses and 4.2% discontinuing treatment. Most had pulmonary TB (84.9%) and were aware of treatment duration (94.6%). About 65.4% experienced treatment-related adverse events. Regarding family support, 69.3% received help with medication. However, the concern was 80.6% did not adhere to anti-COVID-19 measures. Gender was significantly associated with compliance. Most patients were on treatment, but a small percentage had discontinued it. Patients need to be made aware of the importance of complying with anti-COVID-19 barrier measures to prevent a potential worsening of the health situation. Moreover, clinical and biological monitoring needs to be stepped up throughout the course of anti-TB treatment.
Sustained remote learning environments, like those experienced in late 2020 due to the COVID-19 pandemic, share characteristics with online courses but were not intentionally designed to delivered virtually. The purpose of this study was to investigate the impact of Community of Inquiry, a widely used online learning environment framework, and self-efficacy on perceived student attitudes within sustained remote learning environments. An interinstitutional team of health professions education researchers collected survey data from 205 students representing a wide range of health professions in five U.S. institutions. Latent mediation models under structural equation modeling framework were used to examine whether student self-efficacy mediates the relationship between Community of Inquiry presence and student's favorability of sustained remote learning delivered in the prolonged stages of the COVID-19 pandemic. Higher levels of teaching presence and social presence in the remote learning environment were associated with higher levels of remote learning self-efficacy which, in turn, predicts variance in positive attitudes toward remote learning. When mediated by self-efficacy, significant variance in student's favorability of sustained remote learning was explained by teaching presence (61%), social presence (64%), and cognitive presence (88%) and self-efficacy. Significant direct and indirect effects for teaching and social presence, and only direct effects for cognitive presence were observed. This study establishes the Community of Inquiry and its three presence types as a relevant and stable framework for investigating sustained remote health professions teaching and learning environments, not only carefully designed online learning environments. Faculty may focus course design strategies which enhance presence and increase student self-efficacy for the sustained remote learning environment.
Sweetened beverage taxes have been associated with reduced purchasing of taxed beverages. However, few studies have assessed the association between sweetened beverage taxes and health outcomes. To evaluate the association between the Seattle sweetened beverage tax and change in body mass index (BMI) among children. In this longitudinal cohort study, anthropometric data were obtained from electronic medical records of 2 health care systems (Kaiser Permanente Washington [KP] and Seattle Children's Hospital Odessa Brown Children's Clinic [OBCC]). Children were included in the study if they were aged 2 to 18 years (between January 1, 2014, and December 31, 2019); had at least 1 weight measurement every year between 2015 and 2019; lived in Seattle or in urban areas of 3 surrounding counties (King, Pierce, and Snohomish); had not moved between taxed (Seattle) and nontaxed areas; received primary health care from KP or OBCC; did not have a recent history of cancer, bariatric surgery, or pregnancy; and had biologically plausible height and BMI (calculated as weight in kilograms divided by height in meters squared). Data analysis was conducted between August 5, 2022, and March 4, 2024. Seattle sweetened beverage tax (1.75 cents per ounce on sweetened beverages), implemented on January 1, 2018. The primary outcome was BMIp95 (BMI expressed as a percentage of the 95th percentile; a newly recommended metric for assessing BMI change) of the reference population for age and sex, using the Centers for Disease Control and Prevention growth charts. In the primary (synthetic difference-in-differences [SDID]) model used, a comparison sample was created by reweighting the comparison sample to optimize on matching to pretax trends in outcome among 6313 children in Seattle. Secondary models were within-person change models using 1 pretax measurement and 1 posttax measurement in 22 779 children and fine stratification weights to balance baseline individual and neighborhood-level confounders. The primary SDID analysis included 6313 children (3041 female [48%] and 3272 male [52%]). More than a third of children (2383 [38%]) were aged 2 to 5 years); their mean (SE) age was 7.7 (0.6) years. With regard to race and ethnicity, 789 children (13%) were Asian, 631 (10%) were Black, 649 (10%) were Hispanic, and 3158 (50%) were White. The primary model results suggested that the Seattle tax was associated with a larger decrease in BMIp95 for children living in Seattle compared with those living in the comparison area (SDID: -0.90 percentage points [95% CI, -1.20 to -0.60]; P < .001). Results from secondary models were similar. The findings of this cohort study suggest that the Seattle sweetened beverage tax was associated with a modest decrease in BMIp95 among children living in Seattle compared with children living in nearby nontaxed areas who were receiving care within the same health care systems. Taken together with existing studies in the US, these results suggest that sweetened beverage taxes may be an effective policy for improving children's BMI. Future research should test this association using longitudinal data in other US cities with sweetened beverage taxes.
Syllogisms are arguments about the properties of entities. They consist of 2 premises and a conclusion, which can each be in 1 of 4 "moods": All A are B, Some A are B, No A are B, and Some A are not B. Their logical analysis began with Aristotle, and their psychological investigation began over 100 years ago. This article outlines the logic of inferences about syllogisms, which includes the evaluation of the consistency of sets of assertions. It also describes the main phenomena of reasoning about properties. There are 12 extant theories of such inferences, and the article outlines each of them and describes their strengths and weaknesses. The theories are of 3 main sorts: heuristic theories that capture principles that could underlie intuitive responses, theories of deliberative reasoning based on formal rules of inference akin to those of logic, and theories of deliberative reasoning based on set-theoretic diagrams or models. The article presents a meta-analysis of these extant theories of syllogisms using data from 6 studies. None of the 12 theories provides an adequate account, and so the article concludes with a guide-based on its qualitative and quantitative analyses-of how best to make progress toward a satisfactory theory.
Symbolic numbers contain information about their relative numerical cardinal magnitude (e.g., 2 < 3) and ordinal placement in the count-list (e.g., 1, 2, 3). Previous research has primarily investigated magnitude discrimination skills and their predictive capacity for math achievement, whereas numerical ordering has been less systematically explored. At approximately 10-12 years of age, numerical order processing skills have been observed to surpass cardinal magnitude discrimination skills as the key predictor of arithmetic ability. The neurocognitive mechanisms underlying this shift remain unclear. To this end, we investigated children's (ages 10-12) neural correlates of numerical order and magnitude discrimination, as well as task-based functional connectomes and their predictive capacity for numeracy-related behavioral outcomes. Results indicated that number discrimination uniquely relied on bilateral temporoparietal correlates, whereas order processing recruited the bilateral IPS, cerebellum, and left premotor cortex. Connectome-based models were not cross-predictive for numerical order and magnitude, suggesting two dissociable mechanisms jointly supported by visuospatial working memory. Neural correlates of learning and memory were predictive of age and arithmetic ability, only for the ordinal task-connectome, indicating that the numerical order mechanism may undergo a developmental shift, dissociating it from mechanisms supporting cardinal number processing.