Yoxas/statistical_literacy huggingface dataset:
Background: This study examined global media framing on issues of vaccination for COVID-19. The framing and media dependency theories were used to understand the potential influence of global media outlets as suppliers of health messages during pandemics. Methods: Content analysis was used to generate qualitative and quantitative data to answer the research questions. The qualitative data provided rich descriptive data about the themes and types of news frames on issues of vaccination for COVID-19, while the quantitative data provided statistical details about the frequency, viewership level and types of news frames on issues of vaccination for COVID-19. Results: The findings of this study showed that conflict and responsibility frames were the predominant frames used to report issues of vaccination for COVID-19. Also, the findings of this study indicated that vaccine safety was the overriding media theme on vaccination issue for COVID-19. Conclusion: The global media serve as suppliers of health communication in developed and developing countries. This study recommended that the global media can spearhead an information campaign to correct misconceptions, misrepresentations and misinformation on issues of vaccination for COVID-19.
Background: Topical corticosteroids (TCS) are the mainstay of therapy for paediatric atopic dermatitis (AD). The use of TCS is often met with fear by parents. Assessing this parental TCS fear in clinical practice is still lacking. Aim: The aim was to assess parental fear and beliefs about TCS. Furthermore, we evaluated the quality of life (QoL) of the family and the disease severity of affected children. Methods: We conducted an observational study with a cross-sectional design. Inclusion criteria were children aged 0 to 5 years with a diagnosis of AD and outpatient treatment. The outcome measures were parental fears and beliefs about TCS, assessed with the "Topical Corticosteroid Phobia Score" (TOPICOP), parental QoL evaluated with the "Family Dermatology Life Quality Index", and disease severity, assessed with the "Scoring atopic dermatitis" (SCORAD). Descriptive statistic was used to analyse the data. Results: The current study found that in 40 affected children, 25 (62.5%), suffered from mild AD, 12 (30%) children had moderate AD, and 3 (7.5%) children had severe AD. TCS fear among parents was notable (mean TOPICOP score 18.1, standard deviation (SD) 7.1). The QoL was moderately affected (mean FDLQI score 6.5, SD 2.8). Conclusions: Our study indicates that fear of TCS is prevalent. Furthermore, our data indicate that severity of TCS fear varies markedly between parents, ranging from parents with almost no fear to parents with high levels of fear. For effective education in clinical practice, the individual level of fear must be recognized and taken into account.
Background: Type 2 Diabetes Mellitus (T2DM) remains a significant cause of death globally. In addition, T2DM is among the top five chronic diseases which leads to mortality in the Thai population. Patients with T2DM need a wide self-management protocol. However, patients with low health literacy experience difficulty in recognizing health-related information and have difficulties in expressing their status to health care providers, resulting in poor self-management which results in worsening of the health condition. This study aimed to identify the health literacy among patients with type 2 diabetes to determine its association between factors with blood sugar level control in the patients who are treated in primary care units. Methods: A total of 605 subjects were randomly selected from four districts of Nakhon Ratchasima Province, Northeastern Thailand. Data were collected using a structured questionnaire and a review of their charts. A descriptive statistical analysis was used to describe characteristics of the subjects. In addition, multiple logistic regression was used for the association to estimate effect sizes in terms of an odds ratio with the 95% confidence interval. Results: Of the total 605 respondents, 90.90% of the subjects had a sufficient level of health literacy about diabetes. The present study found the subjects who had sufficient health literacy were significantly associated with blood sugar level control (Adjusted Odds Ratio, (AOR)=2.27; 95% CI: 1.10-4.74; p =0.026). A strongly significant association with blood sugar level control was found with diet behaviors (AOR = 9.71; 95% CI: 5.98-15.77; p<0.001) and exercise behaviors (AOR = 14.50; 95% CI: 8.66-24.27; p<0.001). Conclusions: Health literacy on the changing health related behaviors among the T2DM patients is significantly associated with controlling blood sugar level. Hence, health practitioners should enhance the health literacy on self-care among T2DM patients which will help to control T2DM in an effective manner.
Background: Unhealthy lifestyles among adolescents are reaching alarming levels and have become a major public health problem. This study aimed to assess the relationship between sleep time, physical activity (PA) time, screen time (ST), and nutritional literacy (NL). Methods: This cross-sectional online study involving adolescents aged 10-18 years was conducted in September 2020 in 239 schools in Chongqing, China. NL was measured using the "Nutrition Literacy Scale for middle school students in Chongqing (CM-NLS)". According to the recommended by the Chinese dietary guidelines (2022), we divided the sleep time of junior high school students into <9 h and ≥9 h, high school students into <8 h and ≥8 h, divided the workdays into weekend PA time < 1 h and ≥1 h, and divided the workdays into weekend ST < 2 h and ≥2 h. The multinomial logistic regression model was used to examine the association. Results: A total of 18,660 adolescents (50.2% males) were included. The proportion of participants that were junior high school students and attended boarding schools was 57.2% and 65.3%, respectively. Compared with senior high school students, junior high school students had a higher level of NL. Whether on workdays or weekends, participants with sleep time ≥ 8/9 h, PA time ≥ 1 h, and ST < 2 h per day had higher levels of NL. On weekdays, participants who met the sleep time ≥ 8 h/9 h (OR = 1.48, 95% CI: 1.36, 1.62) and PA time ≥ 1 h (OR = 1.69, 95% CI: 1.59, 1.81) had higher reporting of NL levels. Conclusions: Sleep time, PA time, and ST were positively correlated with NL among adolescents, especially junior high school students.
Background: Visual impairment and blindness pose substantial public health challenges in Saudi Arabia, especially among the elderly susceptible to blinding eye diseases. Assessing awareness of age-related eye diseases (AREDs) is vital for addressing vision loss in this demographic. However, there is a lack of research on ARED awareness in Northern Saudi Arabia, underscoring the need for evidence-based data from adult populations to craft effective health promotion strategies. This population-based descriptive survey was conducted on 411 Saudi adults aged 18-70 residing in Arar City, Saudi Arabia, over six months from September 2023. Random sampling was employed, and awareness levels were assessed using a pre-designed questionnaire. Data analysis was performed using Statistical Product and Service Solutions (SPSS, version 20.0; IBM SPSS Statistics for Windows, Armonk, NY). Among the 411 participants, 225 (54.7%) were aged 18-29 years, 312 (76%) were females, and 299 (72.6%) held a bachelor's degree or diploma. Regarding awareness, 71.3% knew about cataracts, but nearly half erroneously believed it could be treated solely medically. For diabetic retinopathy (DR), 366 (89%) recognized lifestyle modifications, and 378 (92%) understood screening as preventive measures. Most participants understood prevention methods for all four diseases, but misconceptions about treatment options were observed. Awareness of glaucoma and age-related macular degeneration (ARMD) was lower. No significant age-related differences were found in awareness, except for cataracts (P = 0.001). Education significantly influenced awareness of cataracts, DR, and glaucoma (P = 0.001, 0.013, and 0.008, respectively), but not ARMD (P = 0.606). The study found that the internet is the primary source of information on AREDs for most participants, except for cataracts, where friends and relatives are prominent. The study reveals varying awareness levels of AREDs among Saudi adults. Although most participants understood preventive measures, misconceptions about treatment underscore the need for accurate education channels. Healthcare professionals must ensure information reliability to effectively combat misinformation and enhance awareness of AREDs.
Background: While normal ranges for 99mTc thyroid percentage uptake vary, the seemingly intuitive evaluation of thyroid function does not reflect the complexity of thyroid pathology and biochemical status. The emergence of artificial intelligence (AI) in nuclear medicine has driven problem solving associated with logic and reasoning that warrant re-examination of established benchmarks in thyroid functional assessment. Methods: There were 123 patients retrospectively analysed in the study sample comparing scintigraphic findings to grounded truth established through biochemistry status. Conventional statistical approaches were used in conjunction with an artificial neural network (ANN) to determine predictors of thyroid function from data features. A convolutional neural network (CNN) was also used to extract features from the input tensor (images). Results: Analysis was confounded by sub-clinical hyperthyroidism, primary hypothyroidism, sub-clinical hypothyroidism and T3 toxicosis. Binary accuracy for identifying hyperthyroidism was highest for thyroid uptake classification using a threshold of 4.5% (82.6%), followed by pooled physician 6interpretation with the aid of uptake values (82.3%). Visual evaluation without quantitative values reduced accuracy to 61.0% for pooled physician determinations and 61.4% classifying on the basis of thyroid gland intensity relative to salivary glands. The machine learning (ML) algorithm produced 84.6% accuracy, however, this included biochemistry features not available to the semantic analysis. The deep learning (DL) algorithm had an accuracy of 80.5% based on image inputs alone. Conclusion: Thyroid scintigraphy is useful in identifying hyperthyroid patients suitable for radioiodine therapy when using an appropriately validated cut-off for the patient population (4.5% in this population). ML ANN algorithms can be developed to improve accuracy as second readers systems when biochemistry results are available. DL CNN algorithms can be developed to improve accuracy in the absence of biochemistry results. ML and DL do not displace the role of the physician in thyroid scintigraphy but could be used as second reader systems to minimize errors and increase confidence.
Background: While nurses are strategically placed to support the achievement of universal health, their practice may not always be informed by evidence, especially in a context where research evidence is not commonly used to inform practice.Objective/Aim/Hypothesis: Improve management of clients with CNCDs in Caribbean community through evidence-based practice (EBP) capacity building workshops.Design/Methods: A descriptive, quantitative design was used for this study. Participants included Community Based Nurses who attended an initial and recall workshop on EBP in a Caribbean island. All participants were included as the sample. Data were collected as a Pre-Test and Post Test before the initial workshop and at the recall workshop. Analysis was done quantitatively. Since the sample was small, only descriptive statistics were used.Results: Data showed 64% of participants had no experience with EBP, 55% needed more essential resources to participate in EBP and 55% recognized a need to include EBP to change their clinical practice effectively.Conclusions: The nurses and district supervisors observed a high level of interest and commitment to initiating and completing EBP projects. However, the reality of significant workplace demands, and limitations in consistent logistical and supervisory support impacted long-term sustainability.
Background: While patient satisfaction is a core index for the assessment of health quality, waiting time and payment mode in hospitals could influence outpatients' flow and as well as their level of satisfaction. Objective: This study compared the waiting time of insured and uninsured patients seeking general outpatient care in a tertiary hospital. Methods: A total of 166 insured and 166 uninsured ambulatory adult patients seeking outpatient services were recruited by systematic random sampling and followed through their consultation at the outpatient clinic. Descriptive and inferential statistics were conducted using the Statistical Package for Social Science (version 20.0) at a 5% alpha level and power of 80%. Results: There were more males (54.8%) among the insured and more females (53.0%) among the uninsured, but the difference was not statistically significant (P = .153). There were significant differences in mean total idle time during outpatient visits (md = 65.7 min; 95% CI: 69.1, 162.8; P < .001) and total time spent (md=106.6 min; 95% CI: 204.8, 211.8; P < .001) in favor of insured patients. The time spent during the consultation was not significantly different (md = 0.8 min; 95% CI: 0.2, 1.7; P = .107). The insured patients were significantly more satisfied with the time spent waiting for nurses' and doctors' attention (P < .001). Conclusion: Significant variations exist in the time spent and level of satisfaction with time spent by insured and uninsured ambulatory patients. Findings call for improving efficiency in patient flow management especially for uninsured patients attending outpatient clinics in public hospitals.
Background: Within a Bachelor of Nursing program, high-fidelity simulation optimises student preparation for the clinical environment and promotes the consolidation of clinical skills. It is important to research and evaluate high-fidelity simulation experiences as satisfied students engage in more meaningful learning, which in turn facilitates active and purposeful participation in their simulation experiences.Objective: The aim of this study was to describe undergraduate nursing students' experience of high-fidelity simulation.Design: An exploratory descriptive design.Setting: Three simulation centres within a university located across metropolitan, regional and rural Victoria.Participants: Undergraduate students (n = 567) from three campuses completing their final clinical nursing unit were invited to participate in the study.Methods: Students participated in a high-fidelity simulation scenario and immediately after the experience completed a survey that included the Satisfaction with Simulation Experience Scale. Data were analysed using the Statistical Package for the Social Sciences for Windows version 27.0.Results: A total of 288 students participated in this study. The majority of students strongly agreed or agreed that high fidelity simulation enhanced their learning (98.9%), developed their clinical reasoning skills (97.2%) and clinical decision-making ability (96.9%), and that simulation was a valuable learning experience (99.3%).Conclusion: Students perceived high-fidelity simulation positively and considered high-fidelity simulation to be a useful teaching and learning strategy.
Background:Studies suggest that telemedicine worsens health care disparities in certain groups, partly owing to a lack of access to appropriate technology or poor technological literacy. Our aim was to use clinic no-show data to determine the impact of telemedicine on patient access to care in the ambulatory gastroenterology setting.Methods:Single-center retrospective study of ambulatory in-person and telemedicine clinic appointments comparing the 15-month prepandemic (PP) with the first 15 months during the pandemic (DTP) using an administrative database. Statistical analysis was performed using univariate and multivariable logistic regression.Results:About 9,746 and 12,808 patient-encounters were scheduled PP and DTP respectively. The no-show rate decreased from 9.8% to 6.9% DTP (p < 0.001). The no-show rate decreased for Black (p = 0.02) and non-Hispanic White patients (p = 0.018). The no-show rate increased for LatinX (p < 0.001) and Asian (p = 0.007) patients. In multivariate analysis, older patients and patients identifying as Black, Asian, or LatinX all had higher odds of no-show DTP (p < 0.05 for all). Patients from high-income counties were 43% less likely to no-show than those in the lowest income counties.Conclusions:The transition to telemedicine improves health care access by decreasing the overall no-show rate. Some groups have been negatively affected, including the older, lower income, LatinX, and Asian populations. Future studies should aim to identify the risk factors within these populations that can be modified to increase health care participation, including targeted application of in-person visits, and improved technology to drive engagement.
Background:The COVID-19 pandemic has accelerated the adoption of Electronic health (e-Health), leveraging technologies such as telemedicine, electronic health records, artificial intelligence, and patient engagement platforms. This transformation underscores e-Health's role in providing efficient, patient-centered care. Our study explores health care professionals' readiness for these technologies, emphasizing the need for tailored education in this evolving landscape.Methods:In our study, conducted between February and March 2023, we administered a questionnaire-based survey to 500 staff members (82.4% female, 17.6% male) aged 25-70 from medical universities in Tbilisi, Georgia. The structured questionnaire covered topics such as computer literacy, telemedicine awareness, patient data security, and ethical considerations. We employed SPSS v21.0 for data analysis, encompassing descriptive statistics and thematic analysis of open-ended responses.Results:Our study included 500 participants categorized into five age groups. Notably, 31% considered themselves computer "experts," while 69% rated their skills as "intermediate" or "advanced." Furthermore, 85% used computers professionally, with 33% having practical computer training. Interestingly, 59% expressed interest in information technology training. Regarding e-Health, 15% believed it involves remote communication between health care professionals and patients, while 42% considered it "correct," and 37% "might be correct." Concerning its application in managing patients, opinions varied. In terms of e-Health's integration into Georgia's health care, responses ranged. Regarding patient data safety, participants exhibited diverse views. Finally, opinions on the necessity of informed consent for e-Health applications varied among participants.Conclusions:Our study explores health care professionals' readiness for e-Health adoption during the COVID-19 pandemic. It reveals varying computer literacy levels, a willingness to learn, differing views on e-Health applications, and mixed opinions on its integration into Georgian health care. These findings emphasize the need for clear e-Health terminology, education, tailored approaches, and a focus on data privacy and informed consent. Overall, e-Health's transformative role in modern health care is underscored.
Background:The COVID-19 pandemic significantly increased telehealth adoption. Rural communities experience challenges relating to telehealth, including a shortage of clinicians, low health literacy, mistrust of medicine, and limited technology access, yet rural perceptions have not been a subject of robust study. The setting of this study was a rural Midwestern family medicine clinic within an academic health system.Methods:Surveys were given to all patients of age 18 or older visiting the clinic over a one-week period. Those who expressed interest were contacted for a semistructured interview. Descriptive statistics and chi-square testing were used to analyze survey results for significant relationships, while interview transcripts were analyzed for themes.Results:Of respondents, 27% indicated prior telehealth use and were more likely to prefer telehealth visits (p = 0.03). Perceptions of telehealth were sorted into themes, including scope of care, convenience, and technology. Telehealth was preferred for discussing test results or mental health. Barriers such as travel time and transportation access favored telehealth. Although more convenient, telehealth was found to be less effective for relationship building. The absence of physical examination during phone visits was a concern. Phone visits were more prevalent due to failure of video-based technology.Conclusions:Despite the potential to address these unique challenges in rural communities, telehealth acceptance is poor. Barriers such as accessibility of technology can be improved through governmental and health systemwide measures. Future work can help develop interventions that counter negative perceptions of telehealth while increasing interest and uptake in rural communities.
Background. Empathic communication skills are critical to providing high-quality nursing care to holistically understand the patient's perspective. A survey research design was used to address the research questions discussed in this study. Data consisted of responses from nursing students attending accredited programs in the southeastern United Sates using the Jefferson Scale of Physician Empathy Nursing Student Version R (JSPE-R). Findings. Comparisons of the total scores from JSPE Versions S and R yielded similar means and standard deviations with 115 and 114.57, respectively, and standard deviations of 10 and 10.94, respectively. The results of a one-sample t-test failed to render statistical significance (t = -1.22, P = .224), indicating that the overall attitudes of nursing students and medical students are similar. The 25th, 50th, and 75th percentiles and overall instrument reliability were also comparable. Conclusions. This paper supports the emergence of alternative factor analysis structures as applied to nursing students through statistical progression from exploratory factor analysis to confirmatory structures. Implications for practice explore the utility of empathy instruments in nurse education, such as empathy progression through curriculum. As nursing educators, the utility of development of instruments to measure effectiveness of teaching strategies and pedagogy for empathy enhancement in practice is important.