Yoxas/statistical_literacy huggingface dataset:
Cybersecurity is a growing challenge for health systems worldwide as the rapid adoption of digital technologies has led to increased cyber vulnerabilities with implications for patients and health providers. It is critical to develop workforce awareness and training as part of a safety culture and continuous improvement within health care organizations. However, there are limited open-access, health care-specific resources to help organizations at different levels of maturity develop their cybersecurity practices. This study aims to assess the usability and feasibility of the Essentials of Cybersecurity in Health Care Organizations (ECHO) framework resource and evaluate the strengths, weaknesses, opportunities, and threats associated with implementing the resource at the organizational level. A mixed methods, cross-sectional study of the acceptability and usability of the ECHO framework resource was undertaken. The research model was developed based on the technology acceptance model. Members of the Imperial College Leading Health Systems Network and other health care organizations identified through the research teams' networks were invited to participate. Study data were collected through web-based surveys 1 month and 3 months from the date the ECHO framework resource was received by the participants. Quantitative data were analyzed using R software (version 4.2.1). Descriptive statistics were calculated using the mean and 95% CIs. To determine significant differences between the distribution of answers by comparing results from the 2 survey time points, 2-tailed t tests were used. Qualitative data were analyzed using Microsoft Excel. Thematic analysis used deductive and inductive approaches to capture themes and concepts. A total of 16 health care organizations participated in the study. The ECHO framework resource was well accepted and useful for health care organizations, improving their understanding of cybersecurity as a priority area, reducing threats, and enabling organizational planning. Although not all participants were able to implement the resource as part of information computing technology (ICT) cybersecurity activities, those who did were positive about the process of change. Learnings from the implementation process included the usefulness of the resource for raising awareness and ease of use based on familiarity with other standards, guidelines, and tools. Participants noted that several sections of the framework were difficult to operationalize due to costs or budget constraints, human resource limitations, leadership support, stakeholder engagement, and limited time. The research identified the acceptability and usability of the ECHO framework resource as a health-focused cybersecurity resource for health care organizations. As cybersecurity in health care organizations is everyone's responsibility, there is potential for the framework resource to be used by staff with varied job roles. Future research needs to explore how it can be updated for ICT staff and implemented in practice and how educational materials on different aspects of the framework could be developed.
CYD-TDV (Dengvaxia®) was the first dengue vaccine approved, launched in Brazil in 2015 for individuals aged 9-44 years. We aimed to estimate the effectiveness of CYD-TDV in preventing symptomatic dengue cases during a campaign targeting individuals aged 15-27 years in selected municipalities in Paraná, Brazil. Additionally, we examined whether a history of dengue, as recorded by the surveillance system, modified the vaccine's effectiveness. We conducted a case-cohort analysis comparing the frequency of vaccination, with at least one dose of CYD-TDV, in individuals with dengue confirmed by RT-PCR, identified by the surveillance system during 2019 and 2020, with the vaccination coverage in the target population. Moreover, in a case-control design using weighted controls, we assessed the documented history of dengue as a modifier of the vaccine's effectiveness. We used a logistic random-effects regression model, with data clustered in municipalities and incorporating covariates such as the incidence of dengue before the campaign, age, and sex. We calculated vaccine effectiveness (VE) as (1-relative risk) x 100%. 1869 dengue cases were identified, which had a vaccination frequency significantly lower than the overall vaccination coverage in the target population (50.3% vs. 57.2%, respectively; overall VE: 21.3%; 95% confidence interval [CI]: 13.4%-28.4%). In individuals with a documented history of dengue, vaccination had a VE of 71% (95% CI: 58%-80%) in reducing the incidence of dengue. However, vaccination was not associated with a significant reduction in the overall dengue case risk in individuals without a documented history of dengue (VE: 12%; 95% CI: -21% to 36%). In this last stratum, vaccination was associated with reduced cases due to DENV-1 and DENV-4, but an excess of DENV-2 cases. Vaccination led to a significant reduction in reported dengue cases within the target population. The case-control design suggested that this reduction was primarily driven by the benefits observed in individuals with a documented history of dengue. In endemic regions with limited serological testing facilities, a previous history of dengue diagnosis recorded by epidemiological surveillance could be used to triage candidates for CYD-TDV vaccination. Research supported by Sanofi.
Dachaihu Decoction is a classic prescription with the function of harmonizing Shaoyang and purging away internal stasis of heat, which was specially developed by Master ZHANG Zhongjing for the concurrent disease of Shaoyang and Yangming. A large number of international studies have shown that Dachaihu Decoction has liver protection, gallbladder benefit, anti-inflammatory, and other pharmacological effects and is mostly used in modern clinical treatment of acute pancreatitis, acute cholecystitis, cholelithiasis, and other digestive diseases. This paper combined bibliography and statistics and selected the ancient book database and CNKI database to search the relevant literature on Dachaihu decoction, verify the composition and dosage, processing method, main diseases, and modern clinical application, and predict its quality markers(Q-markers) based on the &quot;five principles&quot; of Q-markers. The results suggest that saikosaponin a, baicalin, and 6-gingerol can be selected as potential Q-markers for Dachaihu Decoction, so as to provide a basis for the clinical research of traditional Chinese medicine and the development and application of compound preparations.
Daily, the number of women who die around the world reaches an average of 800; these deaths are a result of obstetric complications in pregnancy and childbirth, and 99% of these deaths occur in low- and middle-income countries. This review probes the use of antenatal care (ANC) and skilled birth delivery (SBD) services in sub-Saharan Africa (SSA) and highlights research gaps using Arksey and O'Malley's methodological approach. The screening of abstracts and full text was carried out by two independent authors who ensured the eligibility of data extraction from the included articles. An exploration of the data was undertaken with descriptive analyses. In total, 350 potentially eligible articles were screened, and 137 studies were included for data extraction and analysis. From the 137 included studies, the majority were from Ethiopia (n = 40, 29.2%), followed by Nigeria (n = 30, 21.9%). Most of the studies were published between 2019 and 2023 (n = 84, 61%). Significant trends and challenges with ANC and SBD services emerged from the studies. It is revealed that there are wide gaps in the utilization of ANC and SBD services. Policy attention, intervention strategies to improve access, resources, rural-urban disparity, and women's literacy are recommended to improve the utilization of ANC and SBD services in SSA countries.
Dance/movement therapy (DMT) is increasingly used as a complementary treatment to address psychological and physical wellbeing. However, it is unknown how it can be leveraged in adult cancer care. This mixed methods program evaluation aimed to assess patient-reported benefits and satisfaction with the virtual DMT in an academic oncology setting. We developed, implemented, and evaluated a 6-week virtual, synchronous DMT program aiming to improve physical health, address mental distress, and foster social connection for cancer patients. We used deidentified program evaluation data to assess impact of DMT on patient-reported outcomes and patients' satisfaction with the DMT program. Pre- and post-session data were analyzed using descriptive statistics and a paired t-test. Qualitative data were captured through semi-structured interviews and analyzed using thematic analysis. Results from 39 participants (mean age 64.7 ± 9.8), majority female (89.7%) with a history of breast cancer (43.6%), showed high satisfaction (100%) and unanimous program recommendation (100%). Significant improvements were noted in anxiety (- 0.42 ± 0.76, p = .009), distress (- 0.35 ± 0.80, p = .036), and sense of joy (0.73 ± 1.18, p = .004), with a non-significant trend in increased physical activity (0.38 ± 0.98, p = .057). Thematic findings indicated that DMT participation (1) facilitated engagement in physical activity for improved physical health, (2) fostered creative expression, (3) improved mental state, and (4) helped build social connections and support. Our DMT program shows promise as a component of integrative cancer care. The mixed-method evaluation provides insightful information to generate hypotheses for future RCT studies aiming to evaluate the specific effects of DMT on patient experience and outcomes.
Dancing offers several health and wellness benefits for older adults: it may promote physical literacy (PL) and positively influence the aging process. Yet, limited research considers the perspectives of those with experience working with older adults and in community dance programming. The purpose of this study was to understand program experts' perspectives on how older adult community dance can promote PL and contribute to age-friendly cities and community initiatives. Four themes were identified from semi-structured interviews with five program experts: (1) expert instructors tailor classes to participants' needs and interests; (2) the heart of what draws us to dancing: authentic experience and social connection; (3) elitist, ableist, and gendered assumptions of dance prevent social inclusion of older adults in dancing spaces; and (4) collaboration across sectors is needed to offer accessible, sustainable, and valued dance programming. Recommendations for developing and implementing older adult community dance programming are described.
Danish Palliative Care Database comprises five quality indicators: (1) Contact with specialised palliative care (SPC) among referred patients, (2) Waiting time of less than 10 days, (3) Proportion of patients who died from (A) cancer or (B) non-cancer diseases, and had contact with SPC, (4) Proportion of patients completing the patient-reported outcome measure at baseline (EORTC QLQ-C15-PAL), and (5) Proportion of patients discussed at a multidisciplinary conference. To investigate changes in the quality indicators from 2010 until 2020 in cancer and non-cancer patients. Patients/material: Patients aged 18+ years who died from 2010 until 2020. Register-based study with the Danish Palliative Care Database as the main data source. Indicator changes were reported as percentage fulfilment. From 2010 until 2020, the proportion of patients with non-cancer diseases in SPC increased slightly (2.5-7.2%). In 2019, fulfilment of the five indicators for cancer and non-cancer were: (1) 81% vs. 73%; (2) 73% vs. 68%; (3A) 50%; (3B) 2%; (4) 73% vs. 66%; (5) 73% vs. 65%. Whereas all other indicators improved, the proportion of patients waiting less than 10 days from referral to contact decreased. Differences between type of unit were found, mainly lower for hospice. Most patients in SPC had cancer. All indicators except waiting time improved during the 10-year period. The establishment of the Danish Palliative Care Database may have contributed to the positive development; however, SPC in Denmark needs to be improved, especially regarding a reduction in waiting time and enhanced contact for non-cancer patients.
Darwin recognized that 'a grand and almost untrodden field of inquiry will be opened, on the causes and laws of variation.' However, because the Modern Synthesis assumes that the intrinsic probability of any individual mutation is unrelated to that mutation's potential adaptive value, attention has been focused on selection rather than on the intrinsic generation of variation. Yet many examples illustrate that the term 'random' mutation, as widely understood, is inaccurate. The probabilities of distinct classes of variation are neither evenly distributed across a genome nor invariant over time, nor unrelated to their potential adaptive value. Because selection acts upon variation, multiple biochemical mechanisms can and have evolved that increase the relative probability of adaptive mutations. In effect, the generation of heritable variation is in a feedback loop with selection, such that those mechanisms that tend to generate variants that survive recurring challenges in the environment would be captured by this survival and thus inherited and accumulated within lineages of genomes. Moreover, because genome variation is affected by a wide range of biochemical processes, genome variation can be regulated. Biochemical mechanisms that sense stress, from lack of nutrients to DNA damage, can increase the probability of specific classes of variation. A deeper understanding of evolution involves attention to the evolution of, and environmental influences upon, the intrinsic variation generated in gametes, in other words upon the biochemical mechanisms that generate variation across generations. These concepts have profound implications for the types of questions that can and should be asked, as omics databases become more comprehensive, detection methods more sensitive, and computation and experimental analyses even more high throughput and thus capable of revealing the intrinsic generation of variation in individual gametes. These concepts also have profound implications for evolutionary theory, which, upon reflection it will be argued, predicts that selection would increase the probability of generating adaptive mutations, in other words, predicts that the ability to evolve itself evolves.
Data are becoming increasingly important in science and society, and thus data literacy is a vital asset to students as they prepare for careers in and outside science, technology, engineering, and mathematics and go on to lead productive lives. In this paper, we discuss why the strongest learning experiences surrounding data literacy may arise when students are given opportunities to work with authentic data from scientific research. First, we explore the overlap between the fields of quantitative reasoning, data science, and data literacy, specifically focusing on how data literacy results from practicing quantitative reasoning and data science in the context of authentic data. Next, we identify and describe features that influence the complexity of authentic data sets (selection, curation, scope, size, and messiness) and implications for data-literacy instruction. Finally, we discuss areas for future research with the aim of identifying the impact that authentic data may have on student learning. These include defining desired learning outcomes surrounding data use in the classroom and identification of teaching best practices when using data in the classroom to develop students' data-literacy abilities.
Data can guide decision-making to improve the health of communities, but potential for use can only be realized if public health professionals have data science skills. However, not enough public health professionals possess the quantitative data skills to meet growing data science needs, including at the Centers for Disease Control and Prevention (CDC). The Data Science Upskilling (DSU) program increases data science literacy among staff and fellows working and training at CDC. The DSU program was established in 2019 as a team-based, project-driven, on-the-job applied upskilling program. Learners, within interdisciplinary teams, use curated learning resources to advance their CDC projects. The program has rapidly expanded from upskilling 13 teams of 31 learners during 2019-2020 to upskilling 36 teams of 143 learners during 2022-2023. All 2022-2023 cohort respondents to the end-of-project survey reported the program increased their data science knowledge. In addition, 90% agreed DSU improved their data science skills, 93% agreed it improved their confidence making data science decisions, and 96% agreed it improved their ability to perform data science work that benefits CDC. DSU is an innovative, inclusive, and successful approach to improving data science literacy at CDC. DSU may serve as an upskilling model for other organizations.
Data collection and statistical analysis are integral components of research. The beauty of statistics lies in its ability to evaluate evidence in the face of uncertainty. However, lack of dedicated biostatistical consultation units, rote academic teaching and training lead to poor statistical analysis. Thus, we aim to explore and understand the challenges of establishing a Biostatistics Clinic (BC) in a tertiary care research institute. A secondary aim is to identify the stage of research at which participants approach biostatisticians. The data for the current study came from a consultancy unit named as "Biostatistics Clinic" in the department of biostatistics from Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India. The residents and students who approached the department of biostatistics for consultancy regarding study design, sample size, statistical analysis and other analytical work were the sampling units. A total of 208 residents and students made 404 visits to biostatistics clinic. The male and female visits were 118 (56.7%) and 90 (43.5%), respectively. Majority of visitors approached for data analysis (171; 75%) followed by study design and sample size calculation for protocol preparation (43; 18.9%). Leading reference to approach the biostatistics clinic was through a faculty (91; 43.8%) followed by self (54; 26%). Despite the thrust and apparent advantages of contacting statistician at the beginning of the study, majority approached only at the data analysis stage. Therefore, repeated and improved efforts are required to spread the message of approaching statistician early.
Data concerning the relationship between Mental Health Literacy (MHL) and COVID-19 stress are limited. The study explored the relationship between COVID-19-related stress, MHL, and healthy lifestyle and their components. The current study aimed to investigate the moderating role of a healthy lifestyle in the relationship between MHL and COVID-19-related stress among people referring to health complexes in Tabriz. In this descriptive-correlational study, 1011 people who referred to health complexes in Tabriz were selected using cluster sampling and responded to the COVID-19 Stress Scale (CSS), Mental Health Knowledge Questionnaire (MHKQ), and Lifestyle Questionnaire (LSQ). Data analysis was performed using structural equation modeling. SPSS ver.19 and LISREL ver. 8.5 statistical software is used to classify, process, and analyze data and test research hypotheses. The results indicated that stress caused by COVID-19 has a negative relationship with lifestyle and MHL. The relationship between lifestyle and MHL was positive, and it has the positive effect on a healthy lifestyle (with a standardized coefficient of 0.23). In addition, MHL had a negative effect on the stress related to the coronavirus (with a standard coefficient of -0.22), and the relationship between a healthy lifestyle was also negative on the stress related to the coronavirus (with a standard coefficient of -0.20). The evaluation of the hypothetical research model using fit indices showed that the hypothetical model fits the measurement model (Comparative Fit Index (CFI) = 0.97, Goodness of Fit Index (GFI) = 0.95, Root Mean Square Error of Approximation (RMSEA) = 0.055). All the comparative indices as well as the comparative fit index were found to be close to one and greater than 0.90. This study highlights that healthcare providers must develop effective preventive and therapeutic interventions to deal with COVID-19-related stress and pay attention to the issue of increasing the level of MHL during international crises taking into consideration the moderating role of a healthy lifestyle, and develop educational and treatment programs.
Data literacy has been defined as "the ability to read, work with, analyze and argue with data". The United Nations has highlighted a growing risk of inequality for people excluded from the new world of data by lack of education, language, poverty, and discrimination and has called for the development of data literacy at all levels of society. Responses to data are shaped by personal, social and cultural influences, as well as by trust in the source. The arts can play an important role in regulating our responses to information and increasing accessibility, engagement and sense-making of data. However, to our knowledge, to date, there has been no comprehensive review of publications on the role of the arts in the context of data literacy. This paper presents a protocol and a methodological framework to perform a scoping review to identify and map the available evidence for the role of the arts in enhancing data literacy. The review aims to provide an overview of research over the past twenty years to develop a clearer understanding of (a) which art forms are represented in the literature (b) which population groups and settings are identified (c) and the rationale for using the arts to enhance data literacy.
Data on mild cognitive impairment (MCI) in low- to middle-income countries are still being determined, despite the fact that most future older adults are expected to reside in these regions. This study aimed to investigate the prevalence and associated factors of MCI in Iran. A cross-sectional study was conducted on 4938 community-dwelling subjects aged 50 years or above in the first wave of the Ardakan Cohort Study on Aging. MCI was evaluated using the Mini-Mental State Examination (MMSE) and the Abbreviated Mental Test Score (AMTS) in literate and illiterate individuals. The relationship between factors associated with the odds of MCI was assessed through logistic regression. The prevalence of MCI among all participants, the literates and illiterates, was 15.8%, 6.3%, and 36.4%, respectively. It was found that failure to accomplish any of the MMSE or AMTS items was significantly related to MCI (p < 0.001). Age ([odds ratio (OR): 1.05; p < 0.001 in the literates], [OR: 1.06; p < 0.001 in the illiterates]), sex (OR: 0.13; p < 0.001 in the illiterates), history of stroke ([OR: 2.86; p = 0.006 in the literates], [OR: 2.04; p = 0.045 in the illiterates]), and depression ([OR: 1.87; p < 0.001 in the literates], [OR: 1.41; p = 0.008 in the illiterates]) were significantly associated with MCI. This study highlights the significant associations between age, education, depression, stroke, and MCI in Iranian participants. These findings emphasize the need for targeted interventions in low-literacy populations, mental health screening, and stroke prevention strategies to mitigate the burden of MCI and enhance cognitive health.