Yoxas/statistical_literacy huggingface dataset:
The handheld diagnosis and analysis are highly dependent on the physiological data in the clinical sector. Detection of the defect in the neuronal-assisted activity raises the challenge to the prevailing treatment that benefits from machine learning approaches. The congregated EEG data is then utilized in design of learning applications to develop a model that classifies intricate EEG patterns into active and inactive segments. During arithmetic problem-solving EEG signal acquired from frontal lobe contributes for intelligence detection. The low intricate statistical parameters help in understanding the objective. The mean of the segmented samples and standard deviation are the features extracted for model building. The feature selection is handled using correlation and Fisher score between {Fp1 and F8} and priority ranking of the regions with enhanced activity are selected for the classifier models to the training net. The R-studio platform is used to classify the data based on active and inactive liability. The radial basis function kernel for support vector machine (SVM) is deployed to substantiate the proposed methodology. The vulnerable regions F1 and F8 for arithmetic activity can be visualized from the correlation fit performed between regions. Using SVM classifier sensitivity of 92.5% is obtained for the selected features. A wide range of clinical problems can be diagnosed using this model and used for brain-computer interface.
The Hansen solubility parameter (HSP) is a useful index for reasoning the gelation behavior of low-molecular-weight gelators (LMWGs). However, the conventional HSP-based methods only "classify" solvents that can and cannot form gels and require many trials to achieve this. For engineering purposes, quantitative estimation of gel properties using the HSP is highly desired. In this study, we measured critical gelation concentrations based on three distinct definitions, mechanical strength, and light transmittance of organogels prepared with 12-hydroxystearic acid (12HSA) and correlated them with the HSP of solvents. The results demonstrated that the mechanical strength, in particular, strongly correlated with the distance of 12HSA and solvent in the HSP space. Additionally, the results indicated that the constant volume-based concentration should be used when comparing the properties of organogels to a different solvent. These findings are helpful in efficiently determining the gelation sphere of new LMWGs in HSP space and contribute to designing organogels with tunable physical properties.
The head-to-toe approach to teaching the physical examination (PE) focuses on technique and performing a comprehensive PE whereas core + clusters and hypothesis-driven PE (HDPE) approaches integrate clinical reasoning into performing a focused PE. These approaches can be implemented in a developmental sequence. We report the implementation and evaluation of an HDPE educational session. We designed a 3-hour HDPE session as part of a transition to clerkship program. For each of five clinical vignettes, rising third-year students worked in pairs and then in small groups to generate a differential diagnosis and determine relevant PE maneuvers. Students next performed these maneuvers on peers with facilitator observation and feedback. Students completed postsession surveys on their retrospective pre- and postsession knowledge and confidence, as well as their satisfaction with the session. We completed quantitative and qualitative analyses on survey data. One hundred ninety-two students participated, and 140 (73%) completed the survey. Students were significantly more likely to report feeling confident generating a differential diagnosis and using it to select PE maneuvers for common complaints postsession. Over 80% of respondents felt the session improved critical thinking about patient presentations and would help them in clerkships. Our session increased student confidence in the progression to performing an HDPE just prior to the start of clerkships. The session is feasible and straightforward to implement. It requires a large number of faculty to facilitate, but the breadth of cases used allows inclusion of faculty from all fields.
The Health eLiteracy for Prevention in General Practice trial is a primary health care-based behavior change intervention for weight loss in Australians who are overweight and those with obesity from lower socioeconomic areas. Individuals from these areas are known to have low levels of health literacy and are particularly at risk for chronic conditions, including diabetes and cardiovascular disease. The intervention comprised health check visits with a practice nurse, a purpose-built patient-facing mobile app (mysnapp), and a referral to telephone coaching. This study aimed to assess mysnapp app use, its user profiles, the duration and frequency of use within the Health eLiteracy for Prevention in General Practice trial, its association with other intervention components, and its association with study outcomes (health literacy and diet) to determine whether they have significantly improved at 6 months. In 2018, a total of 22 general practices from 2 Australian states were recruited and randomized by cluster to the intervention or usual care. Patients who met the main eligibility criteria (ie, BMI>28 in the previous 12 months and aged 40-74 years) were identified through the clinical software. The practice staff then provided the patients with details about this study. The intervention consisted of a health check with a practice nurse and a lifestyle app, a telephone coaching program, or both depending on the participants' choice. Data were collected directly through the app and combined with data from the 6-week health check with the practice nurses, the telephone coaching, and the participants' questionnaires at baseline and 6-month follow-up. The analyses comprised descriptive and inferential statistics. Of the 120 participants who received the intervention, 62 (52%) chose to use the app. The app and nonapp user groups did not differ significantly in demographics or prior recent hospital admissions. The median time between first and last app use was 52 (IQR 4-95) days, with a median of 5 (IQR 2-10) active days. App users were significantly more likely to attend the 6-week health check (2-sided Fisher exact test; P<.001) and participate in the telephone coaching (2-sided Fisher exact test; P=.007) than nonapp users. There was no association between app use and study outcomes shown to have significantly improved (health literacy and diet) at 6 months. Recruitment and engagement were difficult for this study in disadvantaged populations with low health literacy. However, app users were more likely to attend the 6-week health check and participate in telephone coaching, suggesting that participants who opted for several intervention components felt more committed to this study. Australian New Zealand Clinical Trials Registry ACTRN12617001508369; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=373505. RR2-10.1136/bmjopen-2018-023239.
The health impacts of COVID-19 are not evenly distributed in societies. Chronic patients are highly affected and develop dangerous symptoms of COVID-19. Understanding their information seeking about COVID-19 may help to improve the effectiveness of public health strategies in the future, the adoption of safety measures, and minimize the spread of the pandemic. However, there is little evidence on information seeking specifically on COVID-19 in this study setting. Therefore, this study aimed to assess information seeking about COVID-19 and associated factors among chronic patients. An institutional-based cross-sectional study supplemented with qualitative data was conducted at Bahir Dar city public hospitals in Northwest Ethiopia from April 8 to June 15, 2021. A total of 423 chronic patients were selected using systematic random sampling techniques with an interval of 5. Bi-variable and multivariable logistic regression analysis was fitted to identify factors associated with information seeking about COVID-19. A p-value < 0.05 was used to declare statistical significance. Qualitative data were analyzed using a thematic approach. Finally, it was triangulated with quantitative findings. The proportion of information seeking about COVID-19 among chronic patients was 44.0% (95% CI = 39.0, 49.0). Being living in urban [AOR = 4.4, 95% CI (2.01, 9.58)], having high perceived susceptibility to COVID-19 [AOR = 3.4, 95%CI (1.98, 5.70)], having high perceived severity to COVID-19 [AOR = 1.7, 95%CI (1.04, 2.91)], having high self-efficacy to COVID-19 [AOR = 4.3, 95%CI (2.52, 7.34)], and having adequate health literacy [AOR = 1.8, 95%CI (1.10, 3.03)] were significant factors associated with information-seeking about COVID-19. The overall proportion of information seeking about COVID-19 among chronic patients was low. Thus, health promotion programs should emphasize the chronic patients living in a rural area; enhance perceived risk and severity of COVID-19, enhancing self-efficacy and health literacy interventions to improve information seeking.
The health literacy of immigrants has been often viewed in a deficit model. By using structuration theory as a theoretical lens, this study aimed to uncover the health literacy development of Korean immigrants in the U.S. as an agentic behavior during the COVID-19 pandemic. A total of 20 semi-structured interviews were conducted with Korean immigrants in the U.S. Findings reveal how the participants' experience was shaped by structural forces such as conflicting but co-existing public health systems between the U.S. and Korea, information overload, and the uncertainty surrounding the pandemic. Participants also employed strategies such as constantly comparing the public health guidelines from the two countries, critically appraising the information, deliberately choosing which guideline to follow, combating misinformation, and regulating media consumption. These strategies enabled them to develop health literacy by leveraging their immigrant status as an advantage. Theoretical, practical, and policy implications are discussed.
The health status (HS) of children is influenced by a variety of factors, including physical fitness (PF) or social and environmental characteristics. We present a 4-year longitudinal study carried out with 263 primary school children. PF was assessed yearly using the German Motor Performance Test 6-18. Demographic data, leisure time behavior and socioeconomic factors were collected using questionnaires for children and parents. Based on parents' ratings in year 4, children were categorized as either "very good health status" (VGHS) or "good health status or below" (GHSB). Children with VGHS (73%) showed a larger improvement of global PF (p < 0.001), a significantly higher proportion of being/playing outside (p < 0.001), significantly lower proportions of overweight (p < 0.001), of media availability in the bedroom (p = 0.011) and of daily media consumption > 2 h (p = 0.033) compared to children with GHSB. Regarding socio-economic factors, children with VGHS revealed significantly fewer parents with lower education (p = 0.002), lower physical activity levels (p = 0.030) and lower migration background (p < 0.001). Physical fitness (p = 0.019) and outdoors exercising (p = 0.050) were the only variables to provide significantly higher chances of perceiving one's own health as very good when tested within a complex model including all the variables studied in this work. Considering the little focus on PF in the current Austrian physical education curriculum and the favorable environmental features of the Tyrolean region, more emphasis should be given to promoting didactical and pedagogical approaches that allow schoolers to be active in the nature.
The healthcare financial system faced a significant disturbance of the budget balance after the outbreak of the pandemic, amid government measures to combat the disease. These measures have led to shifts in funding weights within the income and expenditure budget structure, with a focus on prevention and treatment of patients infected with SARS-COV 2. The purpose of this research is to analyse the financial balance of the healthcare system and the related modelling to support decision-makers in adopting and implementing appropriate financing measures for the pandemic. The working hypotheses of this study were tested using an econometric linear regression model based on the financing budgetary function, which matches funding to the specific need for each expenditure heading. SPSS 25 statistical software was used to define the model and to test the homogeneity of the data and their statistical relevance to the phenomenon under analysis. The proposed model showed that there is a significant correlation of the dependent variable, Dynamics of budget revenues in the healthcare sector (TIM), with the regressors. We believe that a problem-solving rebalancing of allocations could help to eliminate the synergy in health. This redistribution should take into account the impact that economic and budgetary factors have on healthcare factors and vice versa, so that at some point after successive adjustments the minimum distance between forecast and realisation or between need and financing of need can be reached. The used data were analysed dynamically to assess changes in trend as absolute data do not allow the construction of an overall picture. Relative data captures changes in financing from year to year and can be linked to events such as pandemics, financial crises or inflation. In relation to the objectives of the research, it emerges that, under the impact of pandemic stress, measures to improve healthcare management, increase performance and streamline financial allocation are vulnerable and cannot counteract the effects that the pandemic has on the healthcare of the population as reflected in the morbidity and mortality indicators collected during the pandemic. In this regard, it is necessary a rethinking of the strategic healthcare management, a better planning of the procurement of medicines and healthcare supplies, a rethinking of the partnerships with the European Commission and other global entities. This approach can effectively improve the impact of the pandemic on the healthcare status of the population, a rebalancing of the demand-supply balance in healthcare and a maintenance of the strategic programmes, according to the objectives assumed in the planning, given that these programmes protect categories of people already medically affected.
The healthcare industry is widely regarded as a high-risk environment for workers' occupational health and safety. As a result, healthcare workers are constantly exposed to a wide range of hazards, including biological, chemical, physical, ergonomic, and psychosocial hazards. Consequently, janitorial staff are the most vulnerable section of the healthcare workforce to occupational injuries when compared to others due to the nature of their work. Therefore, this study aims at assessing the magnitude of occupational accidents and associated factors among Janitorial staff at Dilla University Teaching Hospital. This cross-sectional institutional-based study was conducted from August to September 2022 at a University Teaching Hospital in South Ethiopia. A total of 105 janitorial staff were included in the study with a response rate of 93.8%. The data were collected using a structured interviewer-administered questionnaire. Data were entered using Epi Info version 7.2.5 and exported to IBM SPSS statistics 22 for further cleaning and analysis. The binary logistic regression model was used to identify predictors of occupational accidents and variables with a p-value of <0.05 during the multivariable analysis were considered statistically significant. The prevalence of occupational accidents is 61% (95% CI: 51.4, 70.5). Of the total study participants, 52 (45.5%) and 33 (31.4%) of the participants had reported that they have experienced chemical splash and needle stick injury, respectively. The age of participants was one of the factors for occupational accidents. The participants who did not receive training were 3 times [AOR=2.9, 95% CI (1.04, 8.02)] more likely exposed. Having good practice was protective against occupational injuries. The study highlights the high prevalence of occupational accidents, particularly chemical splashes, and needle stick injuries, among janitors in the study settings. The study emphasizes the importance of age, training, awareness, and adherence to infection prevention and control strategies as factors influencing the likelihood of experiencing occupational injuries.
The healthcare landscape is rapidly evolving, with artificial intelligence (AI) emerging as a transformative force. In this context, understanding the viewpoints of nursing professionals regarding the integration of AI in future nursing care is crucial. This study aimed to provide insights into the perceptions of nursing professionals regarding the role of AI in shaping the future of healthcare. A cohort of 23 nursing professionals was recruited between April 7, 2023, and May 4, 2023, for this study. Employing a thematic analysis approach, qualitative data from interviews with nursing professionals were analyzed. Verbatim transcripts underwent rigorous coding, and these codes were organized into themes through constant comparative analysis. The themes were refined and developed through the grouping of related codes, ensuring an authentic representation of participants' viewpoints. After careful data analysis, ten key themes emerged including: (I) Perceptions of AI readiness; (II) Benefits and concerns; (III) Enhanced patient outcomes; (IV) Collaboration and workflow; (V) Human-tech balance: (VI) Training and skill development; (VII) Ethical and legal considerations; (VIII) AI implementation barriers; (IX) Patient-nurse relationships; (X) Future vision and adaptation. This study provides valuable insights into nursing professionals' perspectives on the integration of AI in future nursing care. It highlights their enthusiasm for AI's potential benefits while emphasizing the importance of ethical and compassionate nursing practice. The findings underscore the need for comprehensive training programs to equip nursing professionals with the skills necessary for successful AI integration. Ultimately, this research contributes to the ongoing discourse on the role of AI in nursing, paving the way for a future where innovative technologies complement and enhance the delivery of patient-centered care.
The healthcare managers need to develop the managerial skills and use it for better healthcare delivery. A manager requires leadership skill to empower employees and motivate them to work in an efficient manner to achieve organizational goal. Motivating employees/subordinates and developing positive attitude toward them is one of the crucial skills that the leader needs to develop. The way health team works as a unit affects the outcome and needs good leader. With this background, the current study tends to explore the managerial skills of middle-level managers. 1. To assess the leadership and team management skills of middle-level managers and 2. To find out motivational factors used by managers. A cross-sectional study was conducted among district-level healthcare managers and medical officers. Data collection was performed via semistructured and scale-based questionnaire and analyzed using Microsoft office excel. 60% of managers had participative leadership style. Team work skills were fair enough among the managers. 53% of medical officers were freshly appointed with experience of less than one year. The middle-level managers used appreciation of work (41.8%) as major motivator of the team. The middle-level healthcare managers have good leadership quality as well as teamwork skills. Appreciation of work is commonly used motivator.
The healthcare needs of People living with Dementia (PlwD) (such as Alzheimer's disease) are often unmet. Information about the needs of community-dwelling PlwD and their association with sociodemographic and clinical characteristics is needed to fill the knowledge gap regarding factors influencing unmet needs among PlwD and to conduct a comprehensive needs assessment to develop tailored interventions. To describe sociodemographic and clinical characteristics of the InDePendent study population with particular reference to determinants of unmet needs. We analyzed baseline data of the multi-centre cluster-randomized controlled trial (InDePendent) using descriptive statistics to describe patients' sociodemographic and clinical characteristics and Poisson regression models to predict unmet needs, separated by sex. Data were collected personally via face-to-face interviews. Most of the n = 417 participating PlwD were mild to moderately cognitively impaired, were not depressed, had an average of 10.8 diagnoses, took 6.7 medications, and had, on average, 2.4 unmet needs (62% of PlwD had at least one unmet need) measured by the Camberwell Assessment of Need for the Elderly (CANE). Low social support, a high body-mass-index, a lower education, functional impairment, and worse health status were associated with more unmet needs, regardless of sex. In women, higher unmet needs were associated with more depressive symptoms, a poor financial situation, living alone and not being recently treated by a general practitioner. In males, unmet needs increased with the number of medications taken. PlwD had a broad array of unmet healthcare needs, indicating primary healthcare provision improvement potentials. The results underscore the significance of early assessment of patient's clinical characteristics and unmet needs as a basis for individualized gender-sensible intervention strategies.∥ClinicalTrials.gov Identifier: NCT04741932, Registered on February 5, 2021.
The healthcare systems in Europe are changing rapidly due to the increased complexity of healthcare needs, specifically for the ageing population with chronic diseases. Nurses play a key role in providing care for patients with chronic diseases, encouraging patients to take care of their own health improving their Health Literacy (HL) too. Previous works have highlighted the paucity of HL content in nursing curricula, and the need to prioritise the development of HL skills in academic teaching and assessment methods. The aim of this study is to analyse HL skills nursing literature to further develop scientific knowledge in this area of research. This scoping review will be conducted following Arksey and O'Malley's framework. This study is based on the Joanna Briggs Institute manual. A systematic search will be performed by four researchers using the electronic databases of MEDLINE (via PubMed), the Education Resources Information Centre, the Cumulative Index to Nursing and Allied Health Literature, Scopus, Web of Science and Google Scholar. We will include any paper that focuses on HL skills and undergraduate nursing students. We will select every primary study (quantitative, qualitative and mixed method design) published in peer-reviewed journals up until February 2023, in both Italian and English language, without any time limit. This scoping review is part of a large project of the University of Catania which aims at developing higher educational standards for nursing student. This project will not involve patients/public and does not require ethical committee approval. This scoping review will be submitted to international peer-reviewed journals. The protocol was registered with the Open Science Framework on 20 April 2023 (https://osf.io/cn8d7).