Yoxas/statistical_literacy huggingface dataset:
Flooding is one of the major natural catastrophic disasters that causes massive environmental and socioeconomic destruction. The magnitude of losses due to floods has prompted researchers to focus more on robust and comprehensive modeling approaches for alleviating flood damages. Recently developed multi-criteria decision making (MCDM) methods are being widely used to construct decision-making process more participatory, rational, and efficient. In this study, two statistical MCDM approaches, namely the analytical hierarchy process (AHP) and the technique for order preference by similarity to ideal solution (TOPSIS), have been employed to generate flood risk maps together with hazard and vulnerability maps in a GIS framework for Navsari city in Gujarat, India, to identify the vulnerable areas that are more susceptible to inundation during floods. The study area was divided into 10 sub areas (i.e., NC1 to NC10) to appraise the degree of flood hazard, vulnerability and risk intensities in terms of areal coverage and categorized under 5 intensity classes, viz., very low, low, moderate, high, and very high. A total of 14 flood indicators, seven each for hazard (i.e., elevation, slope, drainage density, distance to river, rainfall, soil, and flow accumulation) and vulnerability (i.e., population density, female population, land use, road network density, household, distance to hospital, and literacy rate) were considered for evaluating the flood risk. Flood risk coverage evaluated from the two approaches were compared with the flood extent computed from the actual flood data collected at 36 random locations. Results revealed that the TOPSIS approach estimated more precise flood risk coverage than the AHP approach, yielding high R2 values, i.e., 0.78 to 0.95 and low RMSE values, i.e., 0.95 to 0.43, for all the 5 risk intensity classes. The sub areas identified under "very high" and "high" risk intensity classes (i.e., NC1, NC4, NC6, NC7, NC8, and NC10) call for immediate flood control measures with a view to palliate the extent of flood risk and consequential damages. The study demonstrates the potential of AHP and TOPSIS integrated with GIS towards precise identification of flood-prone areas for devising effective flood management strategies.
Floods and extreme rainfall are common climatic phenomena in Bangladesh, and farm households are more susceptible to such shocks. This paper assesses the impact of climate shocks on agricultural income and food security of farm households in Bangladesh using an extensive nationally representative dataset from the Bangladesh Integrated Household Survey 2018-19, including 5604 sample rural households in 64 districts. However, this research considered 24 districts, representing 2131 sample farm households, by developing an exogenous climate shock indicator based on data from the Yearbook of Agricultural Statistics of Bangladesh 2018. Empirical findings on the grounds of simultaneous quantile regression reveal that climate shocks substantially lower agricultural income in the study regions. However, the presence of prime-age women (15-49) in the home, the male-headed family, farmland, and livestock ownership of the household are the decisive factors that safeguard agricultural income. Applying the Food Insecurity Experience Scale (FIES), descriptive statistics disclose that most farm households suffer at various food insecurity levels (considerably moderate, noticeably mild, and tiny severe), while the rest are at the food security level. The key finding regarding ordered probit regression uncovers that climate shocks significantly increase household food insecurity (at different levels of FIES). In other words, cropland damage due to floods and extreme rainfall reduces the food security of farm households in the study districts. On the other hand, increased farm size and educated households are profoundly protected against food insecurity. This study, therefore, recommends that raising livestock can complement agricultural income, and enhancing education would ensure households' food security in the climate-exposed areas of Bangladesh.
Florence Nightingale (1820-1910), extolled as the founder of modern nursing, contributed greatly to the advancement of modern public health. Written 150 years ago, Nightingale's advice on infection control, addressing the importance of hand washing, environmental sanitation, ventilation, sunshine, statistical data, and health literacy, remains highly relevant in today's global fight against the coronavirus. In honor of Florence Nightingale's 200th birthday, World Health Organization declared 2020 the International Year of the Nurse and Midwife. The era of "Nurses: A Voice to Lead - Nursing the World to Health" is drawing near. This article addresses the profound impact of Nightingale's infection control and public health perspectives on measures currently being taken to contain coronavirus disease 2019 (COVID-19). Furthermore, we call on governments throughout the world to invest proactively in nursing to assure the safety of patients and promote public health in order to achieve the pledge of the United Nations' sustainable development goals to leave no one behind.
Fluorescence molecular endoscopy (FME) is emerging as a "red-flag" technique with potential to deliver earlier, faster, and more personalized detection of disease in the gastrointestinal tract, including cancer, and to gain insights into novel drug distribution, dose finding, and response prediction. However, to date, the performance of FME systems is assessed mainly by endoscopists during a procedure, leading to arbitrary, potentially biased, and heavily subjective assessment. This approach significantly affects the repeatability of the procedures and the interpretation or comparison of the acquired data, representing a major bottleneck towards the clinical translation of the technology. Herein, we propose a robust methodology for FME performance assessment and quality control that is based on a novel multi-parametric rigid standard. This standard enables the characterization of an FME system's sensitivity through a single acquisition, performance comparison of multiple systems, and, for the first time, quality control of a system as a function of time and number of usages. We show the photostability of the standard experimentally and demonstrate how it can be used to characterize the performance of an FME system. Moreover, we showcase how the standard can be employed for quality control of a system. In this study, we find that the use of composite fluorescence standards before endoscopic procedures can ensure that an FME system meets the performance criteria and that components prone to performance degradation are replaced in time, avoiding disruption of clinical endoscopy logistics. This will help overcome a major barrier for the translation of FME into the clinics.
Fluoroquinolones (FQs) is a distinct class of antibiotics which are prescribed and used quite frequently worldwide, despite the box warnings (BW) issued by Food and Drug Administration (FDA). Literature has shown in spite of BWs related to FQs there is minimal impact on health care professionals (HCPs) prescribing habits, potentially attributing towards limited and insufficient awareness. In Pakistan, FQs are mostly prescribed antibiotics for microbial treatments, therefore the purpose of this study was to determine the level of knowledge about the safety profile, use, and BW of FQs among HCPs working in Pakistan. A cross-sectional study was undertaken among the HCPs of Khyber Pakhtunkhwa province of Pakistan from October 2022 to December 2022. A validated questionnaire was used to assess the knowledge of HCPs regarding FQs, its safety profile and BW. A random convenient sample technique was used while recruiting HCPs in this study. As the HCPs comprised physicians, dentists, pharmacist and nurses, all were approached in person and the study objective was fully elaborated and explained to them. The statistic test like: one-way ANOVA, independent-t test, multivariate logistic regression were used keeping the p-value < 0.05 as statistically significant. A total of n = 250 HCPs were approached, of which n = 186 HCPs completed the questionnaire with a response rate of 74.4%. FQs prescribing pattern was only assessed among the prescribers, i.e., physicians and dentists (39/186). The mean knowledge score for indications was 5.29 ± 3.05, while for the adverse effects was 7.70 ± 2.61. The highest score for knowledge for indications and adverse effect score was achieved by physicians followed by dentist. The mean knowledge score for the BW was 3.46 ± 2.93 and among the HCPs for the BW of FQs, 20.4% of the HCPs had appropriate knowledge score (score ≥ 50%). The knowledge score was significantly higher in males (p = 0.039), dentists (p = 0.001), HCPs having master/specialization level of education (p = 0.003), HCPs working in government sector hospitals (p = 0.010) and secondary care hospitals (p = 0.001) while the multivariate logistic regression analysis showed that HCPs working in primary care hospital (OR: 6.2) and secondary care hospital (OR: 20.3) were associated with the tendency to achieve 50% or above knowledge score. Findings of this study reveals the unsatisfactory knowledge of HCPs regarding the safety profile, use, and BW of FQs putting patients at heightened risks of FQs associated AEs. Therefore, it is crucial to implement a national antimicrobial stewardship program, seminars and lectures aimed at continuously updating the knowledge of HCPs, regardless of their specialties, and effectively restrict the misuse of antimicrobial and disseminate FDA BWs in clinical practice.
Follow-up care for incidental findings (IFs) on trauma computed tomography scans is a component of comprehensive healthcare. Our objective was to assess the effectiveness of our IF predischarge disclosure practice guideline and identify factors contributing to follow-up failure. This was a secondary analysis of a prospective observational database: 615 patients with IFs from November 2019 to February 2020. Follow-up compliance was determined by electronic medical record review and/or a telephone call after a mail-out request for voluntary participation. Volunteers answered a predetermined questionnaire regarding follow-up care. A total of 115 patients (19%) had computed tomography-based IFs recommending additional imaging or other follow-ups. Seventy-four (64%) patients were lost to inclusion as a result of death (12.1%), inability to contact (51.3%), or noninterest (5.2%). Of the remaining 36 patients, 19 received follow-up care (52.7%) and 17 did not (47.2%). No statistical differences existed among groups in age, sex, mechanism of injury, Glasgow Coma Scale score, whether informed by physicians or midlevel providers, or type of IF. A total of 15 (88%) nonfollow-up patients did not recall the disclosure or discharge paperwork instructions. Of 19 compliant patients: 9 had additional imaging only, 5 had biopsies and/or surgical intervention (n = 3 cancer, n = 2 benign), 3 had primary care advice against additional studies and 2 were referred to specialists. Predischarge disclosure of IFs can contribute significantly to overall patient health. Nonetheless, fewer than half of patients do not pursue follow-up recommendations, most often citing failure to recall verbal/written instructions. More effective communication with attention to health literacy, follow-up telephone calls, and postdischarge appointments are potential catalysts for improved patient compliance.
Follow-up studies of children diagnosed with autism spectrum disorder (ASD) in early childhood that focus on friendship formation during adolescence are scarce. The present study focused on exploring characteristics possibly related to the ability to establish friendships during adolescence among children diagnosed with ASD in toddlerhood. The cohort included 43 participants who underwent comprehensive assessments during toddlerhood and adolescence. Participants were divided into two groups [Friendship(+)/Friendship(-)] based on (1) adolescent social insight as assessed by professionals and (2) parental and adolescent self-reports regarding having or not having friends. No differences in IQ, ASD symptoms, or adaptive behavior during early childhood were found between the two groups. Different and better changes in social communication, adaptive socialization, and daily living skills were observed for the Friendship(+) group. Adolescents with ASD in the Friendship(+) group exhibited greater social independence. Attention-deficit/hyperactivity disorder incidence, anxiety symptom severity, and placement in mainstream or special education classes did not differ between the two groups. This long-term study highlights that for children with ASD, longitudinal growth in social communication and adaptive functioning is possible, highly important for and related to the development of the complex ability to establish friendship.
Following a 200% increase in the central line-associated bloodstream infection (CLABSI) standardized infection ratio in a private teaching hospital between 2019 and 2020, a program with the utilization of a CLABSI Prevention Registered Nurse was implemented to reduce CLABSIs through a variety of focused prevention efforts and education. The CLABSI P-RN project consisted of a dedicated team of RNs that performed interventions that included an audit of all central lines daily, real-time education and remediation, bi-weekly educational handouts, and assistance with 2-person dressing changes. Audit data were utilized to identify trends in gaps in compliance with the CLABSI bundle (ie, daily bathing, dressing integrity). The CLABSI rate/1,000 central line days were tracked in preintervention, intervention, and postintervention time periods. During the intervention, the CLABSI rate decreased from 1.4 during the preintervention time period, to 0.4 during the intervention time period (P-value .04). Additionally, daily bathing compliance improved from 84.3% during the preintervention time period, to 90.8% during the intervention time period (P-value .004). The implementation of the CLABSI P-RN was beneficial in reducing CLABSIs. An expert-trained role dedicated to central line management reduces CLABSI occurrences, reduces health care costs, and improves patient outcomes.
Following stroke, a sense of well-being is critical for quality of life. However, people living with stroke, and health professionals, suggest that well-being is not sufficiently addressed within stroke services, contributing to persistent unmet needs. Knowing that systems and structures shape clinical practice, this study sought to understand how health professionals address well-being, and to examine how the practice context influences care practice. Underpinned by Interpretive Description methodology, we interviewed 28 health professionals across multiple disciplines working in stroke services (acute and rehabilitation) throughout New Zealand. Data were analysed using applied tension analysis. Health professionals are managing multiple lines of work in stroke care: biomedical work of investigation, intervention and prevention; clinical work of assessment, monitoring and treatment; and moving people through service. While participants reported working to support well-being, this could be deprioritised amidst the time-oriented pressures of the other lines of work that were privileged within services, rendering it unsupported and invisible. Stroke care is shaped by biomedical and organisational imperatives that privilege physical recovery and patient throughput. Health professionals are not provided with the knowledge, skills, time or culture of care that enable them to privilege well-being within their work. This has implications for the well-being of people with stroke, and the well-being of health professionals. In making these discourses and culture visible, and tracing how these impact on clinical practice, we hope to provide insight into why well-being work remains other to the 'core' work of stroke, and what needs to be considered if stroke services are to better support people's well-being. People with stroke, family members and people who provide support to people with stroke, and health professionals set priorities for this research. They advised on study conduct and have provided feedback on wider findings from the research.
Following the approval of a resident-created physician wellness program in 2016, an initial survey demonstrated majority support for the implementation of a mandatory curriculum. The purpose of this study is to survey surgical residents about the wellness curriculum six years after implementation and re-evaluate preference for mandatory participation. In 2016, the CORE7 Wellness Program didactic sessions were integrated into the general surgery resident education curriculum. A comparison between 2016 and 2022 resident survey results was done to examine overall approval and resident experience. A total of 25 general surgery residents responded to the 2022 survey which equaled to a response rate of 67.5% compared to a response rate of 87.1% in 2016. Similar to the results in 2016, there was unanimous support (100%, n = 25) in favor of the ongoing development of a general surgery wellness program. The majority of residents (88% versus 85.2% in 2016) preferred quarterly "wellness half-days" remain a mandatory component of the program. In 2016, most of the residents (50%) stated that the reason for mandatory preference for wellness half-days was ease of explanation to faculty. In 2022, the reason changed to a combination of reasons with most residents (59%) selecting ease of explanation to attendings, feeling too guilty otherwise to leave the shift, and forcing the resident to think about self-care. Complaints about taking a wellness half-day from other team members increased from 29% in 2016 to 48% in 2022. Six years after implementation, there is unanimous support for the mandatory components of a general surgery residency wellness curriculum. Increased perceived complaints from faculty and staff about resident wellness present an opportunity for improvement.
Following the COVID-19 pandemic, disease prevention and preventive behaviors have become crucial for public health. In young adults, the internet is a popular source of health information. However, research that explores the factors associated with disease preventive behaviors based on the eHealth literacy (eHL) and the Health Belief Model (HBM) in young adults is lacking. A cross-sectional study design was used. Snowball sampling was used to recruit the participants through social network services. Proportionate stratified sampling was applied according to age, sex, and education level to mitigate sampling bias. The URL link for the online survey was provided via their mobile phones. A total of 324 participants, aged 20 to 39, completed the structured questionnaires (response rate = 98.2%). Frequency and descriptive statistical analyses, independent t-tests, one-way analyses of variance, Pearson's correlation coefficients, and multiple linear regression analyses were performed. Factors associated with COVID-19 preventive behaviors were COVID-19-related eHL (β = .376, P < .001) and self-efficacy (β = .221, P < .001), which were positively associated with COVID-19 preventive behaviors. Boosting self-efficacy and the ability to find, evaluate, and apply health information with sufficient evidence from the Internet can improve COVID-19 preventive behaviors. The government and healthcare personnel should consider psychological factors such as self-efficacy when developing COVID-19 disease prevention behavioral guidelines for the Internet.
Following the introduction of an algorithm aiming to maximise life-years gained from liver transplantation in the UK (the transplant benefit score [TBS]), donor livers were redirected from younger to older patients, mortality rate equalised across the age range and short-term waiting list mortality reduced. Understanding age-related prioritisation has been challenging, especially for younger patients and clinicians allocating non-TBS-directed livers. We aimed to assess age-related prioritisation within the TBS algorithm by modelling liver transplantation prioritisation based on data from a UK transplant unit and comparing these data with other regions. In this population-based modelling study, serum parameters and age at liver transplantation assessment of patients attending the Scottish Liver Transplant Unit, Edinburgh, UK, between December, 2002, and November, 2023, were combined with representative synthetic data to model TBS survival predictions, which were compared according to age group (25-49 years vs ≥60 years), chronic liver disease severity, and disease cause. Models for end-stage liver disease (UKELD [UK], MELD [Eurotransplant region], and MELD 3.0 [USA]) were used as validated comparators of liver disease severity. Of 2093 patients with chronic liver disease, 1808 (86%) had complete datasets and liver disease parameters consistent with eligibility for the liver transplant waiting list in the UK (UKELD ≥49). Disease severity as assessed by UKELD, MELD, and MELD 3.0 did not differ by age (median UKELD scores of 56 for patients aged ≥60 years vs 56 for patients aged 25-49 years; MELD scores of 16 vs 16; and MELD 3.0 scores of 18 vs 18). TBS increased with advancing age (R=0·45, p<0·0001). TBS predicted that transplantation in patients aged 60 years or older would provide a two-fold greater net benefit at 5 years than in patients aged 25-49 years (median TBS 1317 [IQR 1116-1436] in older patients vs 706 [411-1095] in younger patients; p<0·0001). Older patients were predicted to have shorter survival without transplantation than younger patients (263 days [IQR 144-473] in older patients vs 861 days [448-1164] in younger patients; p<0·0001) but similar survival after transplantation (1599 days [1563-1628] vs 1573 days [1525-1614]; p<0·0001). Older patients could reach a TBS for which a liver offer was likely below minimum criteria for transplantation (UKELD <49), whereas many younger patients were required to have high-urgent disease (UKELD >60). US and Eurotransplant programmes did not prioritise according to age. The UK liver allocation algorithm prioritises older patients for transplantation by predicting that advancing age increases the benefit from liver transplantation. Restricted follow-up and biases in waiting list data might limit the accuracy of these benefit predictions. Measures beyond overall waiting list mortality are required to fully capture the benefits of liver transplantation. None.