Yoxas/statistical_literacy huggingface dataset:
The COVID-19 pandemic has caused over 171,657 confirmed cases and 1,462 deaths in Ghana, particularly among frontline health-workers involved in pandemic response. Prevention measures in Ghana include AstraZeneca 'Covishield' vaccination of health-workers, but research on factors affecting uptake of COVID-19 vaccines in Ghana were initially limited. Therefore, this study aimed to analyse knowledge, attitudes, and initial uptake of Covishield among nurses in the War Memorial Hospital in Navrongo, Upper East Region. We conducted a cross-sectional survey of 128 district hospital nurses using simple random sampling. We first calculated descriptive statistics and two composite variables summing either participant knowledge or attitude variables, with a threshold over 50% considered 'sufficient' or 'positive' respectively. We then analysed associations between demographic variables and Covishield knowledge, attitudes, or uptake using binomial logistic regression with a 95% confidence interval and p-value of <0.05 considered significant. All participants had heard of Covishield vaccine, with attitudes toward it generally positive (53%), and uptake high (72%). Reasons cited by the 28% unvaccinated included absence during vaccination, having already been infected with COVID-19, lack of trust in vaccine safety/efficacy, or pregnancy/breastfeeding. Education, residence, and family type were the only demographic factors significantly associated with nurses' knowledge about, attitudes towards, or uptake of COVID-19 vaccination. While 'positive' attitude was significantly associated with higher odds of being vaccinated (AOR 4.75; 95%CI 1.59-14.1), 'sufficient' knowledge was not (AOR 1.33; 95%CI 0.53-3.32). This is the first study in Ghana's resource-constrained Upper East region to examine health-worker perceptions of a novel vaccine and showed nurses' knowledge, attitudes, and uptake of COVID-19 vaccination were good overall. Further research is needed to determine how best to address hesitancy and understand findings that attitudes appeared more relevant than knowledge for uptake. Findings are relevant for local health authorities in improving vaccine availability and strengthening emergency risk communication and management of adverse events following immunisation.
The COVID-19 pandemic has caused physical and psychological health problems in the elderly. Spiritual intelligence has an effect on health and healing. The aim of this study determining the relationship between spiritual intelligence and intolerance of uncertainty, anxiety, and fear of corona in the elderly. A cross-sectional study was done on 207 elderly people who referred to comprehensive health service centers in Mashhad in 2022. The samples were selected based on the inclusion criteria using multistage and cluster sampling. To collect data, various questionnaires were used, including demographic characteristics (age, gender, marital status …), King's Spiritual Intelligence Questionnaire, Freestone's Intolerance of Uncertainty Questionnaire, Corona Anxiety Scale, and Coronavirus Fear Scale. Statistical analysis of variables was done using descriptive and analytical (independent t-test, Mann-Whitney, analysis of variance, linear regression) tests by means of STATA version 14. The average level of spiritual intelligence was 54.1. Participants reported a high level of intolerance of uncertainty (M = 79.2) and fear of corona (M = 14.09). Education, economic status, and marital status were the predictors of spiritual intelligence of the studied subjects (r = 0.24, P < .05). Spiritual intelligence and gender were also related to uncertainty intolerance (r = 0.12, P < .05). Another finding of the study was the superiority of variables of spiritual intelligence and gender in predicting the level of anxiety of corona compared to other variables (r = 0.17, P < .05). There was a relationship between spiritual intelligence, education, and gender with the level of fear and anxiety of corona. Therefore, planning and implementing educational projects based on increasing spiritual intelligence for the elderly with priority for elderly women and with a low level of literacy and income is recommended.
The COVID-19 pandemic has created a need for educational materials and methods that can replace clinical clerkships (CCs) for online simulated clinical practice (online-sCP). This study evaluates the impact of using simulated electronic health records (sEHR) for inpatients, and electronic problem-based learning (e-PBL) and online virtual medical interviews (online-VMI) for outpatients, for an online-sCP using a learning management system (LMS) and online meeting system facilitated by a supervising physician. The sEHR was reviewed by medical students and subsequently discussed with a supervising physician using an online meeting system. In the e-PBL, medical students reviewed the simulated patients and discussed on the LMS. For the online-VMI, a faculty member acted as an outpatient and a student acted as the doctor. Small groups of students discussed the clinical reasoning process using the online meeting system. A mixed-method design was implemented. Medical students self-assessed their clinical competence before and after the online-sCP. They answered questionnaires and participated in semi-structured focus group interviews (FGIs) regarding the advantages and disadvantages of the practice. Forty-three students completed the online-sCP during May and June 2020. All students indicated significant improvement in all aspects of self-evaluation of clinical performance after the online-sCP. Students using sEHR reported significant improvement in writing daily medical records and medical summaries. Students using e-PBL and online-VMI reported significant improvement in medical interviews and counseling. Students also indicated CCs as more useful for learning associated with medical interviews, physical examinations, and humanistic qualities like professionalism than the online-sCP. Eight FGIs were conducted (n = 42). The advantages of online-sCP were segregated into five categories (learning environment, efficiency, accessibility, self-paced learning, and interactivity); meanwhile, the disadvantages of online-sCP were classified into seven categories (clinical practice experience, learning environment, interactivity, motivation, memory retention, accessibility, and extraneous cognitive load). Online-sCP with sEHR, e-PBL, and online-VMI could be useful in learning some of the clinical skills acquired through CC. These methods can be implemented with limited preparation and resources.
The COVID-19 pandemic has decreased physical activity (PA) while increasing demand for electronic health resources. eHealth literacy (EHL) is expected to aid eHealth use and health promotion. EHL was raised on the grounds of health literacy (HL). This study explored the associations among EHL, HL, and PA in Chinese college students and identified mediating mechanisms in the EHL/HL-PA relationship. An integrated social-cognitive model was proposed. A total of 947 Chinese college students (52.8% women, age = 19.87 ± 1.68 years) completed the three-wave data collection. Path analysis was performed. An adequate good-to-fit model was indicated. Perceived EHL (PEHL) was significantly associated with perceived HL (PHL) and HL performance (HLP); PHL was negatively related to HLP; PEHL was significantly associated with self-efficacy (SE) and social support (SS); PHL had a significant effect on SS but not SE; HLP significantly affected SS but not SE; SS and SE positively predicted intention (INT), which then predicted PA. SS mediated PEHL/PHL-INT links; SE mediated the PEHL-INT link; SS and INT jointly mediated PEHL/PHL/HLP-PA; SE and INT jointly mediated PEHL-PA. Relationships among EHL, HL, and PA were explored with multiple mediating mechanisms identified. Differential SE and SS roles in EHL/HL-PA links suggest new mechanisms to inform EHL/HL intervention development.
The COVID-19 pandemic has disproportionately impacted disabled people, especially those who are members of marginalized communities that were already denied access to the resources and opportunities necessary to ensure health equity before the pandemic. Compare COVID-19 impact on basic needs access among households with and without disabled adults. An online survey was distributed to households with children enrolled in one of 30 socially vulnerable elementary or middle schools in San Diego County, California. We measured disability using the single-item Global Activities Limitations Indicator. We measured pandemic impacts on basic needs access using the RADx-UP common data elements toolkit. We then assessed number of impact items reported by household disability using multivariable linear regression, adjusting for household income, household size, education, parent gender, and child's ethnicity. Of 304 participants, 41% had at least one disabled household member. Participants reporting a disabled household member were more likely to report challenges accessing basic needs, such as food, housing, healthcare, transportation, medication, and stable income during the pandemic (all p < 0.05). Difficulty accessing basic needs was significantly associated with household income and parent gender in the final regression model. Households with a disabled member were significantly more likely to experience difficulty accessing basic needs during the COVID-19 pandemic. This has important implications for the disproportionate impact of COVID-19 on disabled people, especially those from low-income communities that already face barriers to accessing resources. To improve COVID-19 outcomes for disabled people, we must focus on meeting their basic needs.
The COVID-19 pandemic has exacerbated struggles for youth living in poor households. Youth in rural Tanzania are particularly vulnerable given widespread poverty, lack of formal sector employment opportunities, and health risks. We examine influences of the pandemic on economic insecurity and mental health and explore the coping strategies employed by youth and their households. We conducted mixed-method data collection with youth (N = 760 quantitative and N = 44 qualitative interviews) and households (n = 542) via mobile phone among a sub-set of a cohort from an on-going longitudinal sample in two rural regions in Tanzania. In addition to phone interviews, we collected data bi-weekly via SMS messaging. We present mixed-methods, descriptive analysis of the outcomes and longitudinally compare quantitative outcomes pre- and post-COVID-19, within the same individuals. Adverse economic impacts were most salient, and to cope, youth engaged in more labor and domestic chores. Compared to prior the COVID-19 pandemic, youth reported spending more time caring for elderly or sick household members and gathering firewood or nuts. These findings underscore the potential opportunity to promote policies and programs which address risks youth face. Recommended measures include expansion and adaptation of social protection policies, strengthened food and nutrition surveillance and referral systems, and scaling up community-based mental health programming.
The COVID-19 pandemic has expedited the integration of Smart Voice Assistants (SVA) among older people. The qualitative data derived from user commands on SVA is pivotal for elucidating the engagement patterns of older individuals with such systems. However, the sheer volume of user-generated voice interaction data presents a formidable challenge for manual coding. Compounding this issue, age-related cognitive decline and alterations in speech patterns further complicate the interpretation of older users' SVA voice interactions. Conventional dictionary-based textual analysis tools, which count word frequencies, are inadequate in capturing the evolving and communicative essence of these interactions that unfold over a series of dialogues and modify with time. To address these challenges, our study introduces a novel, modified rule-based Natural Language Processing (MR-NLP) model augmented with human input. This reproducible approach capitalizes on human-derived insights to establish a lexicon of critical keywords and to formulate rules for the iterative refinement of the NLP model. English speakers, aged 50 or older and residing alone, were enlisted to engage with Amazon Alexa™ via predefined daily routines for a minimum of 30 min daily spanning three months (N = 35, mean age = 77). We amassed time-stamped, textual data comprising participants' user commands and responses from Alexa™. Initially, a subset constituting 20% of the data (1,020 instances) underwent manual coding by human coder, predicated on keywords and commands. Separately, a rule-based Natural Language Processing (NLP) methodology was employed to code the identical subset. Discrepancies arising between human coder and the NLP model programmer were deliberated upon and reconciled to refine the rule-based NLP coding framework for the entire dataset. The modified rule-based NLP approach demonstrated notable enhancements in efficiency and scalability and reduced susceptibility to inadvertent errors in comparison to manual coding. Furthermore, human input was instrumental in augmenting the NLP model, yielding insights germane to the aging adult demographic, such as recurring speech patterns or ambiguities. By disseminating this innovative software solution to the scientific community, we endeavor to advance research and innovation in NLP model formulation, subsequently contributing to the understanding of older people's interactions with SVA and other AI-powered systems.
The Covid-19 pandemic has forced the educational sector to quickly adapt to the crisis and shift to online learning environments (OLEs). Therefore, a critical area for research is assessing the readiness of teachers in terms of their familiarity and preference for OLEs. In this study, we aimed to improve the experience and preference of in-service teacher trainees with OLEs during the Covid-19 pandemic in Ethiopia. To achieve this goal, questionnaires were used to gather data from in-service teacher trainees. Descriptive and inferential statistical methods, including exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), Pearson correlation, and one-way ANOVA, were used to analyze the data and determine the participants' opinions and experiences with OLEs. The results showed that while in-service teacher trainees had less experience in knowledge and skills compared to cooperation and interaction, they preferred online learning platforms over online learning strategies. Additionally, correlations were found between cooperation and interaction, knowledge and skills; cooperation and interaction, online learning platforms; cooperation and interaction, online learning strategies; and online learning platforms and online learning strategies. Interestingly, no statistically significant correlation was found between knowledge and skills and online learning platforms. In conclusion, Ethiopian in-service teacher trainees favored online learning platforms over traditional online learning strategies, despite having less experience in knowledge and skills. Further research is needed to explore the experiences and preferences of in-service teacher trainees in various ecological aspects.
The COVID-19 pandemic has further highlighted the continuing threat of antimicrobial resistance (AMR) to global health and economic development. In the last two decades, AMR has raised increasing concern, with an estimated 4.95 million deaths globally due to bacterial AMR in 2019 alone. The aim of this study was to analyse the impact of the pandemic on the spread of multidrug-resistant organisms (MDROs) using data from the Hospital "P. Giaccone" in Palermo, comparing pre-pandemic and pandemic periods. This observational study involved adult patients who were discharged from the hospital between 01 January 2018 and 31 December 2021. Hospital Discharge Cards were linked with microbiological laboratory reports to assess MDRO isolations. SARS-CoV-2 positivity during hospitalisation was evaluated using the National Institute of Health surveillance system. A total of 58 427 hospitalisations were evaluated in this study. Half the patients were aged over 65 years (N=26 984) and most admissions were in the medical area (N=31 716). During the hospitalisation period, there were 2681 patients (5%) with MDROs isolations, and 946 patients (2%) were positive for SARS-CoV-2. Multivariable analyses showed that during 2020 and 2021, there was a significantly increased risk of isolation of Staphylococcus aureus, Acinetobacter baumannii, and Klebsiella pneumoniae. Age, weight of the Diagnosis-Related Group (DRG), wards with higher intensity of care, and length-of-stay were associated with a higher risk of MDRO isolation. This study provides new insights into the impact of the COVID-19 pandemic on MDRO isolation and has important implications for infection control and prevention efforts in healthcare facilities. Age, DRG-weight, and longer hospital stays further increased the risk of MDRO isolation. Thus, it is imperative to improve and follow hospital protocols to prevent healthcare-associated infections.
The COVID-19 pandemic has gravely affected the lives and economies of the global population including Nigeria. The attainment of herd immunity through mass COVID-19 vaccination is the foremost control strategy, however, the deployments of COVID-19 vaccinations are facing challenges of non-acceptance. Despite the efforts of the Nigerian government and COVAX facility in making COVID-19 vaccination more available/accessible, the vaccination rate remains unexpectedly very low in Nigeria/Ebonyi state. Therefore, it is important to investigate the acceptability of COVID-19 vaccination to elucidate the explanations for the very low coverage rate. This study aims to evaluate/explore COVID-19 vaccination acceptance and the determinants among community members and health workers in Ebonyi state, Nigeria. The study is an analytical cross-sectional survey with a concurrent-independent mixed method design. Quantitative data will be collected from all consenting/assenting community members aged 15 years and above, in 28 randomly selected geographical clusters, through structured interviewer-administered questionnaire household survey using KoBoCollect installed in android devices. Quantitative data will be collected from all consenting health workers, selected via convenience and snowball techniques, through structured self-administered questionnaire survey distributed via WhatsApp and interviewer-administered survey using KoBoCollect installed in android devices. Qualitative data will be collected from purposively selected community members and health workers through focus group discussions. Quantitative analyses will involve descriptive statistics, generalised estimating equations (for community members data) and generalised linear model (for health workers data). Qualitative analyses will employ the thematic approach. Ethical approval for this study was obtained from the Ebonyi State Health Research and Ethics Committee (EBSHREC/15/01/2022-02/01/2023) and Research and Ethics Committee of Alex Ekwueme Federal University Teaching Hospital Abakaliki (14/12/2021-17/02/2022), and verbal consent will be obtained from participants. Study findings will be reported at local, national and international levels as appropriate. ISRCTN16735844.
The Covid-19 pandemic has had a drastic effect on the global community. Blood products are precious resources especially in the African context and this has been especially compounded during the Covid-19 pandemic. Concurrent to this during the Covid-19 level 5 lockdown in South Africa from 26 March - 30 April 2020, a decrease in trauma admissions to state hospitals was noted. The aim of this data collection was to assess whether lowered blood product issuance was seen during the Covid-19 pandemic lockdown. Areas at Tygerberg Hospital with trauma patients were identified, namely: the A1W intensive care unit (Surgical ICU), Trauma Front Room (Trauma Admissions), Trauma Resuscitation unit (Trauma Resus Area) and J7(Trauma Ward). Data of blood product issuance (red blood cells and fresh frozen plasma) for these 4 areas was provided by the Western Cape Blood Service for the period 26 March-30 April 2018, 2019 and 2020. This included the stage 5 Covid-19 South African lockdown, as well as Easter for all three years which is traditionally associated with raised trauma admissions. This data was quantitative. 201 products were issued in 2018 versus 103 for the same period in 2020 for the 4 trauma areas in Tygerberg Hospital. The surgical ICU received the most products over 3 years with 183 of the product issuances. As expected there was a significant decrease in blood product (red blood cell and fresh frozen plasma) issuance during the 2020 period which paralleled the lowered trauma numbers. This represented a significant cost saving of over R150 000 despite increased yearly costs for blood products over the same period. This data collection did not consider the reasoning for these blood transfusions or the clinical appropriateness thereof. The author acknowledges the wide variability of transfusion thresholds and protocols within various centres around the world, including Tygerberg and was not seeking to prove commentary on the appropriateness thereof in this research.
The COVID-19 pandemic has had a significant impact on individual health and fitness routines globally. Resistance training, in particular, has become increasingly popular among men and women looking to maintain or improve their physical fitness during the pandemic. However, using Anabolic Steroids (AS) for performance enhancement in resistance training has known adverse effects. Thus, this study aimed to explore the prevalence of AS use among men and women resistance training practitioners after the COVID-19 pandemic. A cross-sectional survey was conducted among 3,603 resistance training practitioners (1,855 men and 1,748 women) in various geographical locations impacted by COVID-19. The participants were asked to complete self-administered questionnaires, which included questions regarding demographic information, training habits, and current or prior usage of AS. The data were analyzed using SPSS statistical software and the chi-square method, with a significance level of (P < 0.05). A total of 3603 men and women resistance training practitioners completed the survey. In the study, 53.05% of men and 41.99% of women used anabolic and androgenic steroids. Of those men who used steroids, 29.47% used Testosterone, while 31.20% of women used Winstrol. Additionally, 50.30% of men used steroids via injection, while 49.05% of women used them orally. According to the study, 49.99% of the participants had 6 to 12 months of experience with resistance training, and 64.25% of them underwent three training sessions per week. The analysis using the χ2 test did not reveal any significant difference between men and women in terms of duration of bodybuilding, frequency per week, and engagement in other activities. This study shows that a significant proportion of men and women resistance training practitioners used AS, particularly among young adults with limited training experience. Thus, there is a need for targeted education and awareness campaigns to address the hazards of AS use and promote healthy training habits during the COVID-19 pandemic.