Yoxas/statistical_literacy huggingface dataset:
Coronary CT angiography (CCTA) is well-established for diagnosis and stratification of coronary artery disease (CAD). Its usefulness in guiding percutaneous coronary interventions (PCI) and stent sizing is unknown. This is a sub-analysis of the Precise Percutaneous Coronary Intervention Plan (P3) study (NCT03782688). We analyzed 65 vessels with matched CCTA and pre-PCI optical coherence tomography (OCT) assessment. The CCTA-guided stent size was defined by the mean distal reference lumen diameter rounded up to the nearest stent diameter. The OCT lumen-guided stent size was the mean distal reference lumen diameter rounded to the closest stent diameter. The agreement on stent diameters was determined with Kappa statistics, Passing-Bablok regression analysis, and the Bland-Altman method. The distal reference lumen diameter by CCTA and OCT were 2.75 ​± ​0.53 ​mm and 2.72 ​± ​0.55 ​mm (mean difference 0.06, limits of agreement -0.7 to 0.82). There were no proportional or systematic differences (coefficient A 1.06, 95% CI 0.84 to 1.3 and coefficient B -0.22, 95% CI -0.83 to 0.36) between methods. The agreement between the CCTA and OCT stent size was substantial (Cohen's weighted Kappa 0.74, 95% CI 0.64 to 0.85). Compared to OCT stent diameter, CCTA stent size was concordant in 52.3% of the cases; CCTA overestimated stent size in 20.0% and underestimated in 27.7%. CCTA accurately assessed the reference vessel diameter used for stent sizing. CCTA-based stent sizing showed a substantial agreement with OCT. CCTA allows for PCI planning and may aid in selecting stent diameter.
Coronary heart disease (CHD) is often associated with mental disorders (MDs). Comorbid MDs reduce the quality of life and increase cardiac morbidity and mortality. Nevertheless, there is little and inconsistent research on the management of MDs in CHD patients. To bridge this gap, this study aims to gain insight into the long-term course of MD-related health care for patients with CHD, in order to identify opportunities for care improvement. In this prospective cohort study, we investigated whether CHD patients with or without expert-rated MD at baseline (N = 364) received different MD-related health care from either their general practitioner (GP) or cardiologist at follow-up, M = 2.7 [2.0-4.0] years later. In the follow-up assessment, N = 131 CHD patients participated and received questionnaires capturing sociodemographic, mental health, and MD-related health care characteristics. Descriptive statistics, t-tests and chi-squared tests were used for analyses. We found significant differences in MD-related health care. CHD patients with MD were more likely to be examined psychologically/psychiatrically (MD 55.9%, non-MD 16.7%, p = < .001) and diagnosed with MD (MD 55.9%, non-MD 13.5%, p = .020) by their GP or cardiologist. Recommendations for and responses to requests for psychotherapy were more likely in MD patients compared to non-MD patients (MD 38.7%, non-MD 11.8%, p = .012 and MD 38.5%, non-MD 11.8%, p = .031, respectively). No significant differences were found concerning physicians' active demand for patients' mental health, referral to a specialist for additional diagnostics, provision of information about the diagnosed MD and further treatment options, response to the patients' request for psychopharmacotherapy, help received in finding psychotherapy or psychopharmacotherapy, and actual receipt of these treatments. The results indicate differences in MD-related health care of CHD patients with and without comorbid MD. However, they still highlight the need to further encourage primary care physicians treating CHD to adequately address MDs, provide further diagnostics, support, and information to affected patients. To address this, physicians may benefit from awareness training on the association between CHD and MDs and on appropriate communication with MD patients. German clinical trials register (Deutsches Register Klinischer Studien, DRKS) Registration Number: ID DRKS00022154, date of registration: 02.11.2021.
Coronary heart disease (CHD) is the leading cause of death and disability worldwide, with higher prevalence in low and middle-income countries. Self-efficacy (SE) is an essential element that affects a patients ability to manage their care, and low SE levels in patients with CHD can lead to poor health outcomes and quality of life. Planning suitable methods to improve SE in CHD patients is essential. This review explores health education methods to improve SE in patients with CHD. Scoping review is reported based on the PRISMA Extension for Scoping Reviews (PRISMA-ScR). A literature search was conducted using relevant keywords from six primary databases, such as CINAHL Plus with Full Text and Academic Search Complete, PubMed, ScienceDirect, Scopus, Taylor and Francis, and one search engine, Google Scholar. The inclusion criteria were full-text articles in English that were accessible, research articles with experimental designs. The quality of evidence was assessed using the Joanna Briggs Institute critical appraisal checklist, and data synthesis was used thematically with an explorative, descriptive approach. Fifteen articles were found and included in the review. There are two types of interventions such as traditional and digital-based health education. The media used in traditional health education are booklets, pamphlets, posters, and workbooks. In addition, digital-based health education generally uses websites, social platforms, mobile applications, video players and sound clips. This review found that traditional health education and digital-based interventions improve SE, knowledge, self-esteem and health literacy levels, in CHD patients. Health professionals, including nurses, may used both methods in improving self efficacy in CHD patients.
Coronary pressure indices to assess coronary artery disease are currently underused in patients with aortic stenosis due to many potential physiological effects that might hinder their interpretation. Studies with varying sample sizes have provided us with conflicting results on the effect of transcatheter aortic valve replacement (TAVR) on these indices. The aim of this meta-analysis was to study immediate and long-term effects of TAVR on fractional flow reserve (FFR) and nonhyperemic pressure ratios (NHPRs). Lesion-specific coronary pressure data were extracted from 6 studies, resulting in 147 lesions for immediate change in FFR analysis and 105 for NHPR analysis. To investigate the long-term changes, 93 lesions for FFR analysis and 68 for NHPR analysis were found. Lesion data were pooled and compared with paired t tests. Immediately after TAVR, FFR decreased significantly (-0.0130±0.0406 SD, P: 0.0002) while NHPR remained stable (0.0003±0.0675, P: 0.9675). Long-term after TAVR, FFR decreased significantly (-0.0230±0.0747, P: 0.0038) while NHPR increased nonsignificantly (0.0166±0.0699, P: 0.0543). When only borderline NHPR lesions were considered, this increase became significant (0.0249±0.0441, P: 0.0015). Sensitivity analysis confirmed our results in borderline lesions. TAVR resulted in small significant, but opposite, changes in FFR and NHPR. Using the standard cut-offs in patients with severe aortic stenosis, FFR might underestimate the physiological significance of a coronary lesion while NHPRs might overestimate its significance. The described changes only play a clinically relevant role in borderline lesions. Therefore, even in patients with aortic stenosis, an overtly positive or negative physiological assessment can be trusted.
Coronavirus (CoV) is a novel respiratory virus that can cause severe acute respiratory syndrome (SARS). It affects millions of people in the world and thousands of people in Ethiopia. In responding to this, digital health technologies help to reduce COVID-19 outbreaks by sharing accurate and timely COVID-19 related information. Additionally, digital solutions are used for remote consulting during the pandemic, in creating COVID-19 related awareness, for distribution of the vaccine, and so on. Therefore, this study aimed to assess digital health literacy to share COVID-19 related information and associated factors among healthcare providers who worked at COVID-19 treatment centers in the Amhara region, Northwest Ethiopia. An institutional-based cross-sectional survey was conducted from April 4 to May 4, 2021. The study included 476 healthcare providers who worked at COVID-19 treatment centers in the Amhara region. A pretested, structured self-administered questionnaire was used to collect data. EpiData 4.6 and SPSS version 26 were used for data entry and analysis respectively. Bi-variable and Multivariable logistic regression analysis was used to identify factors associated with the dependent variable. A P-value of less than 0.05 was used to declare statistical significance. A total of 456 respondents were participated in the study, with 95.8% response rate. Digital health literacy to share COVID-19 related information found to be 50.4% (95% CI: 46-55). Educational status [AOR = 4.37, 95% CI(2.08-9.17)], training [AOR = 3.00, 95% CI (1.80-5.00)], attitude [AOR = 1.99, 95% CI(1.18-3.36)], perceived usefulness [AOR = 2.01, 95% CI(1.22-3.32)], perceived ease of use [AOR = 2.00, 95% CI(1.25-3.21)] and smartphone access [AOR = 5.21, 95% CI(2.34-9.62)] were significantly associated with digital health literacy to sharing of COVID-19 related information at P-value less than 0.05. This finding indicated that approximately half of the respondents had digital health literacy to share COVID-19 related information which was inadequate. Improving respondents' educational status, computer training, smartphone access, perceived usefulness, perceived ease of use, and attitude was necessary to measure digital health literacy to sharing of COVID-19 related information.
Coronavirus 19 (COVID-19) has created complex pressures and challenges for healthcare systems worldwide; however, little is known about the impacts COVID-19 has had on regional/rural healthcare workers. The Loddon Mallee Healthcare Worker COVID-19 Study (LMHCWCS) cohort was established to explore and describe the immediate and long-term impacts of the COVID-19 pandemic on regional and rural healthcare workers. Eligible healthcare workers employed within 23 different healthcare organisations located in the Loddon Mallee region of Victoria, Australia, were included. In this cohort study, a total of 1313 participants were recruited from November 2020-May 2021. Symptoms of depression, anxiety, post-traumatic stress, and burnout were measured using the Patient Health Questionnaire-9 (PHQ-9), Generalised Anxiety Disorder-7 (GAD-7), Impact of Events Scale-6 (IES-6), and Copenhagen Burnout Inventory (CBI), respectively. Resilience and optimism were measured using the Brief Resilience Scale and Life Orientation Test-Revised (LOT-R), respectively. Subjective fear of COVID-19 was measured using the Fear of COVID-19 Scale. These cross-sectional baseline findings demonstrate that regional/rural healthcare workers were experiencing moderate/severe depressive symptoms (n = 211, 16.1%), moderate to severe anxiety symptoms (n = 193, 14.7%), and high personal or patient/client burnout with median total scores of 46.4 (IQR = 28.6) and 25.0 (IQR = 29.2), respectively. There was a moderate degree of COVID-19-related fear. However, most participants demonstrated a normal/high degree of resilience (n = 854, 65.0%). Based on self-reporting, 15.4% had a BMI from 18.5 to 24.9 kgm2 and 37.0% have a BMI of 25 kgm2 or over. Overall, 7.3% of participants reported they were current smokers and 20.6% reported alcohol consumption that is considered moderate/high-risk drinking. Only 21.2% of the sample reported consuming four or more serves of vegetables daily and 37.8% reported consuming two or more serves of fruit daily. There were 48.0% the sample who reported having poor sleep quality measured using the Pittsburgh Sleep Quality Index (PSQI). Regional/rural healthcare workers in Victoria, Australia, were experiencing a moderate to high degree of psychological distress during the early stages of the pandemic. However, most participants demonstrated a normal/high degree of resilience. Findings will be used to inform policy options to support healthcare workers in responding to future pandemics.
Coronavirus disease (COVID-19) is a pandemic to which nursing students are particularly susceptible. This study aims to comprehensively examine nursing students' knowledge, attitudes, risk perceptions, preventive behaviors related to COVID-19, and nursing intentions toward patients with the virus. A questionnaire was administered to 149 nursing students from two universities. Data on the respondents' general characteristics, knowledge levels, attitudes, perceived risk, preventive behaviors toward COVID-19, and nursing intentions toward COVID-19 patients were collected. The collected data were statistically analyzed using SPSS software (version 26.0). This involved descriptive statistics, independent t-tests, one-way ANOVA, Pearson's correlation coefficient, and stepwise multiple regression analyses. The analyses of the factors affecting nursing students' nursing intentions for COVID-19 patients showed that the most predictive factor was perceived risk (β = -0.38, p < 0.001), followed by attitudes (β = 0.29, p < 0.001) and preventive behaviors (β = 0.17, p = 0.017), which explained 26% of the variance in nursing intentions. Lowering the perceived risk of infectious diseases and cultivating positive attitudes and preventive behaviors can increase nursing students' intentions toward COVID-19 patients. Finally, infection management education programs and research on interventions for nursing students are necessary to enhance the quality of nursing care provided to patients with novel infectious diseases.
Coronavirus disease (COVID-19) is a type of pneumonia caused by a novel coronavirus that was discovered in 2019. As of May 6, 2020, 84,407 cases and 4643 deaths have been confirmed in China. The Chinese population has expressed great concern since the COVID-19 outbreak. Meanwhile, an average of 1 billion people per day are using the Baidu search engine to find COVID-19-related health information. The aim of this paper is to analyze web search data volumes related to COVID-19 in China. We conducted an infodemiological study to analyze web search data volumes related to COVID-19. Using Baidu Index data, we assessed the search frequencies of specific search terms in Baidu to describe the impact of COVID-19 on public health, psychology, behaviors, lifestyles, and social policies (from February 11, 2020, to March 17, 2020). The search frequency related to COVID-19 has increased significantly since February 11th. Our heat maps demonstrate that citizens in Wuhan, Hubei Province, express more concern about COVID-19 than citizens from other cities since the outbreak first occurred in Wuhan. Wuhan citizens frequently searched for content related to "medical help," "protective materials," and "pandemic progress." Web searches for "return to work" and "go back to school" have increased eight-fold compared to the previous month. Searches for content related to "closed community and remote office" have continued to rise, and searches for "remote office demand" have risen by 663% from the previous quarter. Employees who have returned to work have mainly engaged in the following web searches: "return to work and prevention measures," "return to work guarantee policy," and "time to return to work." Provinces with large, educated populations (eg, Henan, Hebei, and Shandong) have been focusing on "online education" whereas medium-sized cities have been paying more attention to "online medical care." Our findings suggest that web search data may reflect changes in health literacy, social panic, and prevention and control policies in response to COVID-19.
Coronavirus disease (COVID-19) pandemic caused the closure of many face-to-face classes in Iran's universities of medical sciences, so e-learning was adopted as the alternative method. This study aims to examine the medical students' perspectives on e-learning continuance intention. In this quantitative study, the population included 1,453 students and the statistical sample size was determined to be 305 students using the Cochran formula. The participants were selected using stratified sampling method based on the field of study and the data were collected by e-learning evaluation questionnaire. The data were analyzed using SPSS 26.0 in addition to descriptive statistics. The results showed the mean perceived autonomy, perceived competence, and communication in e-learning, intrinsic motivation, information quality, e-learning applicability and students' satisfaction with e-learning courses were 2.61, 2.81, 2.91, 3.03, 2.98, 2.92, and 3.31, respectively. There was no significant correlation between the competence and applicability, user satisfaction and e-learning continuance intention. Moreover, e-learning continuance intention had the highest correlation with students' satisfaction (0.787) and information applicability (0.784), respectively. Medical students had a tendency to continue e-learning, even after controlling the COVID-19 outbreak, and health education policymakers can be of use in this opportunity to developing educational services.
Coronavirus disease 2019 (COVID-19) constrained the regular teaching in educational institutions and hampered the teaching-learning process across the globe. E-learning method is widely used in higher education in the current situation. the objective is to assess the beliefs and expectations of the students on e-learning among adult learners of a tertiary level health-care institution. A single group pre-post design was adopted. Microsoft Go two-in-one devices were used to find the effectiveness of e-learning, including digital exam solution. Depending on the availability of device, 25 participants were selected for the study from three different steams. A 5-point Likert scale was used for assessing the quality, adoptability, and acceptance of digital education developed by the researchers. Chi-square/Fisher's exact or McNemar's test was used to test the association between independent or related categorical variables. Comparison of the average score between different courses was performed using the Kruskal-Wallis test. Twenty-two participants who completed the final assessment were retained for the analysis. Majority of the participants believed that e-learning helps to achieve personal learning goals or objectives and bridge skill or knowledge gaps and caters to learning preferences. However, the overall quality score across the study groups was found to be statistically insignificant (Kruskal-Wallis statistic: 1.26; P value: 0.533). The findings show that the adult learners in higher education, irrespective of their age differences, believe that intense e-learning support with Microsoft Go two-in-one device has a complementary effect on their learning outcome.
Coronavirus Disease 2019 (COVID-19) has affected millions of individuals all over the world. In addition to the patients' compelling indications, various sociodemographic characteristics were identified to influence infection complications. The purpose of this study was to assess the impact of the aforementioned parameters on the dissemination of COVID-19 among residents of Saudi Arabia's Riyadh region. In the Saudi Arabian province of Riyadh, a cross-sectional retrospective analysis of COVID-19 incidences, recoveries, and case-fatality ratio (CFR) was undertaken. The study was carried out by gathering daily COVID-19 records from the ministry of health's official websites between October 2020 and September 2021. The influencing factors were obtained from the statistical authority. Using the SPSS IBM 25 software, the data was examined. The association between demographic factors as well as the presence of comorbidity on the COVID-19 outcome was determined using Spearman's correlation and regression tests. P < 0.05 was considered to indicate the significance of the results. The data from the study indicated that the highest number of COVID-19 cases were recorded in June 2021, and peak recovery was observed in July 2021. The CFR declined progressively from October 2020 to just over 1, even when the cases peaked. A significant (p < 0.05) correlation between diabetes and COVID-19 incidences was observed. The recovery rate had a significant (p < 0.05) association with the literacy rate and those aged 14-49 years old. Presences of co-morbidities such as Dyslipidemia, hypertension, diabetes, asthma, stroke and heart failure have negatively affected the recovery from COVID-19 in the population. The CFR is significantly (p < 0.05) associated with people over 60, hypertensive patients, and asthma patients. Regression analysis suggested that the risk of complications due to COVID-19 infection is more in males, people above 60 years age and those suffering from co-morbidities. The findings of the study indicate an association between several of the characteristics studied, such as gender, age, and comorbidity, and the spread of infection, recovery, and mortality. To restrict the spread of COVID-19 and prevent its complications, effective measures are required to control the modifiable risk factors.
Coronavirus disease 2019 (COVID-19) poses a significant threat to the safety of residents in long-term care facilities, and the staff of long-term care facilities are essential in the care and prevention of major infectious diseases and therefore require good health literacy to ensure the health of residents. The main objective of this study was to examine the health literacy of staff in long-term care facilities and analyze the factors associated with their COVID-19 health literacy in Taiwan to provide a basis for the response mechanism to emerging infectious diseases. A cross-sectional survey with a structured questionnaire by a convenience sample method and to assess the COVID-19 health literacy of caregivers working in long-term care facilities in this study. The COVID-19 health literacy scale was a self-administered scale designed to combine the concept of "health literacy" with the 3 levels and 5 stages of preventive medicine. A total of 385 workers from 10 long-term care facilities were surveyed as the study sample, and the validated questionnaires were statistically analyzed using SPSS version 22.0 statistical software. A multivariate logistic regression model was used to establish the associated factors of the COVID-19 health literacy level. Overall, the mean COVID-19 health literacy score was 88.7 ± 10.4 (range: 58-105). Using a quartile scale, 92 (23.9%) of the study participants had low health literacy (health literacy score < 82), 190 (49.3%) had average health literacy (health literacy score 82-98), and the remaining 103 (26.8%) had good health literacy (health literacy score 99-105). Statistical analysis revealed significant differences (p < 0.05) in the COVID-19 health literacy score by demographic variables (education, job category, number of daily service users, and training related to infectious disease prevention and control) of the study population. The logistic regression analysis of the COVID-19 health literacy level (> 82 vs. ≤82) showed a significant difference in the study sample by gender (male vs. female, OR = 2.46, 95% CI = 1.15-5.26), job category (nurse practitioner vs. caregiver, OR = 7.25, 95% CI = 2.46-21.44), monthly service hours (> 160 h vs. 40-79 h, OR = 0.044, 95% CI = 0.07-0.97), experience caring for confirmed COVID-19 patients (yes vs. no, OR = 0.13, 95% CI = 0.02-0.98), and training related to infectious disease prevention and control (yes vs. no, OR = 2.8, 95% CI = 1.52-5.15). This study recommends that facilities provide immediate updated COVID-19 information to staff, especially frontline caregivers, and specifically enhance COVID-19 infection control education training for all facility staff to eliminate health literacy disparities.