Yoxas/statistical_literacy huggingface dataset:
Persistent symptoms after the coronavirus disease 2019 (COVID-19, known as post-COVID syndrome (PCS), presented an ongoing health burden among COVID-19 survivors, including health workers. The existence of fatigue in mild COVID-19 survivors has not been widely reported. The aim of this study was to present the symptoms of fatigue in healthcare workers who experienced mild COVID-19 and the factors associated with fatigue. A cross-sectional study was conducted at H. Adam Malik General Hospital in Medan, Indonesia, from September to December 2022, included doctors, nurses, ancillary workers, and medical support workers who experienced mild COVID-19. Fatigue was measured by a fatigue assessment scale (FAS). The assessed possible risk factors were gender, age, vaccination history, comorbid, presence of PCS, duration of PCS symptoms, and number of PCS symptoms. The Chi-squared or Fisher's exact tests were used to assess the association between the incidence of fatigue and risk factors. A total of 100 healthcare workers of mild COVID-19 survivors were included. Most of them were nurses (58%), women (81%), and aged 19-30 years old (36%). The majority had incomplete vaccination history (64%), experienced PCS (71%), no comorbidities (61%), and experienced <3 months of PCS symptoms (55%). Mild to moderate fatigue was found in 23% of healthcare workers and only 1% experienced severe fatigue. No significant association was found between gender, vaccination history, and comorbidities with the incidence of fatigue. However, a significant association was observed between age (p=0.021), the presence of PCS (p=0.041), and the number of PCS symptoms (p=0.047) with fatigue incidence. Furthermore, there were significant associations between symptoms of PCS (confusion (p=0.004), insomnia (p=0.001), myalgia (p=0.035), arthralgia (p=0.028), throat pain (p=0.042), headache (p=0.042), and chest pain (p=0.011)) with fatigue. These findings can contribute to providing the necessary support for mild COVID-19 survivors and persistent fatigue.
Person-centered care (PCC), an approach to healthcare that focuses on the individual needs, preferences, and values of patients, is particularly important in the context of caring for residents of nursing homes (NHs) with the behavioral and psychological symptoms of dementia (BPSD). However, implementing PCC in NHs varies widely due to individual staff, NH environment, and country factors, leading to heterogeneity in person-centered approaches. This study was designed to explore and gain insight into the shared subjective perspectives of nurses on providing PCC to manage BPSD in NHs in order to elicit a deeper understanding of how nurses interpret and approach the provision of PCC. Q methodology was applied to explore the subjective perspectives of nurses. Twenty-nine NH nurses with more than 3 years of experience in managing BPSD completed a Q-sorting task, categorizing 43 Q-samples into a normal distribution shape. Postsorting interviews were conducted after the participants had completed this task. The collected data were analyzed using centroid factor analysis and varimax rotation run within the PQMethod 2.35 program. Interpretation of the resulting factors was based on factor arrays, field notes, and interview data. Four factors from the shared subjective perspectives of nurses related to PCC were identified, including (a) sharing information focused on details to update care strategies, (b) monitoring until the true needs of residents are identified, (c) awareness of interactive cues in relationships, and (d) connecting an individual's life pattern to their current care. The findings highlight that a one-size-fits-all approach may not be suitable for all nurses and interventions, indicating that nurses should consider the applicable subjective frames to ensure the effectiveness of planned interventions. A need for PCC education that specifically addresses BPSD management is suggested, with the findings implying that a strong organizational climate with respect to PCC in managing BPSD should promote higher job satisfaction and commitment and reduce turnover rates among nurses in NHs. Facilitating the development of PCC interventions appropriate for BPSD management that encompass the various categories and ranges of NH settings and nursing phenomena is thus recommended.
Persona development techniques are a well-established method to create relatable descriptions of representatives of target users of digital systems. In the field of education, research on learner characteristics has yielded comprehensive results that can help advance educational approaches. Nonetheless, these results often remain abstract and distant for researchers and practitioners. Personas offer a bridge to make this knowledge more accessible and to facilitate user-centred design processes. This study focuses on creating personas of mathematics school students to ease such accessibility. These personas are constructed based on an understanding of learners' goals, needs, challenges and problems, joys, fears, feelings and emotions, and strategies. Data collection was conducted through a multifaceted approach, encompassing qualitative and quantitative data from web surveys, think-aloud protocols, and interviews. The target demographic comprised upper secondary school mathematics students in Austria. We found five distinct patterns of characteristics prevalent in this target group. The patterns of characteristics reflected by the personas complement the scientific body of knowledge obtained from traditional approaches investigating characteristics and needs of learners. In practical terms, these personas empower the development of user-centred digital systems, learning materials, and lessons, thus fostering an enriched educational experience for mathematics students.
Personal and profession-related factors affect graduate transition to practice. Social supports and a sense of belonging are recognized as critical factors affecting success. The need for a professional to postprofessional continuum of learning has been identified. Development of a process to effectively move learners through this continuum are affected by conflicts such as economic issues, varied educational and practice philosophies, and capacity demands for clinical sites and instructors. The purpose of this article was to discuss professional formation as an individual experience that needs environmental support. If we look to the intrinsic needs of the individual to develop effective systems, both individuals and the profession will thrive. The changing demographics of students and factors affecting health care and education offer compelling reasons to reconsider the pathway for early professional development. Education and practice must collaborate to cocreate the foundation for professional formation. Basic needs such as economic security and social belonging must be met to create optimal conditions for learning and growth. The profession has not adopted an intentional pathway for new graduates to meet foundational practice needs. Some new graduates seek residencies, but residencies are focused on specialization and supply does not meet the demand. Strategies to promote success of early career professionals include a professional to postprofessional curriculum with intentional mentorship, changes in the regulatory environment, and formation of effective partnerships to support education and practice.
Personal meaning in subjective experience is a key element in the treatment of persons with mental disorders. Open-response speech samples would appear to be suitable for studying this type of subjective experience, but there are still important challenges in using language as data. Scientific principles involved in sample size calculation, validity, and reliability may be applicable, by analogy, to data collected in the form of words. We describe a rationale for including computer-assisted techniques as one step of a qualitative analysis procedure that includes manual reading. Clarification of a framework for including language as data in psychiatric research may allow us to more effectively bridge biological and psychometric research with clinical practice, a setting where the patient's clinical "data" are, in large part, conveyed in words.
Personal persistence, the subjective perception of self-sameness through time, is implied or explicitly asserted in nearly all modern theories of self and identity. Recently, personal persistence has become the subject of inquiry and argument, most directly due to Galen Strawson, who recently described himself as experiencing a distinct series of non-defective and non-pathological selves, each phenomenologically independent of the other. Using a combination of previously published, modified, and newly constructed measures, the present study, in an attempt to provide empirical information relevant to the theoretical treatments of personal persistence, assembled an assessment battery of assumptively intercorrelated personal persistence measures, which collectively provided dichotomous, linear, quantitative, and qualitative information about the experience of self-persistence in a sample of 177 mostly female college students between the ages of 18 and 44 years.
Personalized breast cancer screening is a novel strategy that estimates individual risk based on age, breast density, family history of breast cancer, personal history of benign breast lesions, and polygenic risk. Its goal is to propose personalized early detection recommendations for women in the target population based on their individual risk. Our aim was to synthesize the factors that influence women's decision to participate in personalized breast cancer screening, from the perspective of women and health care professionals. Systematic review of qualitative evidence on factors influencing participation in personalized Breast Cancer Screening. We searched in Medline, Web of science, Scopus, EMBASE, CINAHL and PsycINFO for qualitative and mixed methods studies published up to March 2022. Two reviewers conducted study selection and extracted main findings. We applied the best-fit framework synthesis and adopted the Multilevel influences on the cancer care continuum model for analysis. After organizing initial codes into the seven levels of the selected model, we followed thematic analysis and developed descriptive and analytical themes. We assessed the methodological quality with the Critical Appraisal Skills Program tool. We identified 18 studies published between 2017 and 2022, conducted in developed countries. Nine studies were focused on women (n = 478) and in four studies women had participated in a personalized screening program. Nine studies focused in health care professionals (n = 162) and were conducted in primary care and breast cancer screening program settings. Factors influencing women's decision to participate relate to the women themselves, the type of program (personalized breast cancer screening) and perspective of health care professionals. Factors that determined women participation included persistent beliefs and insufficient knowledge about breast cancer and personalized screening, variable psychological reactions, and negative attitudes towards breast cancer risk estimates. Other factors against participation were insufficient health care professionals knowledge on genetics related to breast cancer and personalized screening process. The factors that were favourable included the women's perceived benefits for themselves and the positive impact on health systems. We identified the main factors influencing women's decisions to participate in personalized breast cancer screening. Factors related to women, were the most relevant negative factors. A future implementation requires improving health literacy for women and health care professionals, as well as raising awareness of the strategy in society.
Personalized medicine (PM) operates with biological data to optimize therapy or prevention and to achieve cost reduction. Associated data may consist of large variations of informational subtypes e.g. genetic characteristics and their epigenetic modifications, biomarkers or even individual lifestyle factors. Present innovations in the field of information technology have already enabled the procession of increasingly large amounts of such data ('volume') from various sources ('variety') and varying quality in terms of data accuracy ('veracity') to facilitate the generation and analyzation of messy data sets within a short and highly efficient time period ('velocity') to provide insights into previously unknown connections and correlations between different items ('value'). As such developments are characteristics of Big Data approaches, Big Data itself has become an important catchphrase that is closely linked to the emerging foundations and approaches of PM. However, as ethical concerns have been pointed out by experts in the debate already, moral concerns by stakeholders such as patient organizations (POs) need to be reflected in this context as well. We used an empirical-ethical approach including a website-analysis and 27 telephone-interviews for gaining in-depth insight into German POs' perspectives on PM and Big Data. Our results show that not all POs are stakeholders in the same way. Comparing the perspectives and political engagement of the minority of POs that is currently actively involved in research around PM and Big Data-driven research led to four stakeholder sub-classifications: 'mediators' support research projects through facilitating researcher's access to the patient community while simultaneously selecting projects they preferably support while 'cooperators' tend to contribute more directly to research projects by providing and implemeting patient perspectives. 'Financers' provide financial resources. 'Independents' keep control over their collected samples and associated patient-related information with a strong interest in making autonomous decisions about its scientific use. A more detailed terminology for the involvement of POs as stakeholders facilitates the adressing of their aims and goals. Based on our results, the 'independents' subgroup is a promising candidate for future collaborations in scientific research. Additionally, we identified gaps in PO's knowledge about PM and Big Data. Based on these findings, approaches can be developed to increase data and statistical literacy. This way, the full potential of stakeholder involvement of POs can be made accessible in discourses around PM and Big Data.
Personnel evaluation is an important process in human resource management. The multicriteria nature and the presence of both qualitative and quantitative factors make it considerably more complex. In this study, a fuzzy hybrid multicriteria decision-making (MCDM) model is proposed to personnel evaluation. This model solves personnel evaluation problem in a fuzzy environment where both criteria and weights could be fuzzy sets. The triangular fuzzy numbers are used to evaluate the suitability of personnel and the approximate reasoning of linguistic values. For evaluation, we have selected five information culture criteria. The weights of the criteria were calculated using worst-case method. After that, modified fuzzy VIKOR is proposed to rank the alternatives. The outcome of this research is ranking and selecting best alternative with the help of fuzzy VIKOR and modified fuzzy VIKOR techniques. A comparative analysis of results by fuzzy VIKOR and modified fuzzy VIKOR methods is presented. Experiments showed that the proposed modified fuzzy VIKOR method has some advantages over fuzzy VIKOR method. Firstly, from a computational complexity point of view, the presented model is effective. Secondly, compared to fuzzy VIKOR method, it has high acceptable advantage compared to fuzzy VIKOR method.
Persons with disabilities (PwDs) face barriers in accessing sexual and reproductive health (SRH) services due to lack of knowledge and awareness, stigma and discrimination, and inadequate service provision. This study aimed to examine the determinants of SRH knowledge and awareness among PwDs in Ghana, and to explore their perceptions of the functionality of SRH services. A sequential explanatory mixed-methods study design was used to collect and analyse quantitative (n = 402) and qualitative (n = 37) data from PwDs in two districts in Ghana. Quantitative data were analysed using descriptive and inferential statistics, while qualitative data was analysed thematically. Most of the participants had high awareness of SRH (94.3%), sexually transmitted infections (STIs) (92.5%) and HIV/AIDS (97.0%). Employment status was positively associated with SRH awareness [aOR = 1.62; 95% CI = 1.02, 2.59]. Disability type was a significant predictor of STI [aOR = 2.02; 95% CI = 1.39, 2.94] and HIV/AIDS [aOR = 2.32; 95% CI = 1.21, 4.44] awareness, with the visually impaired having higher odds than the physically disabled. Age group was also a significant predictor of STI awareness, with older respondents having higher odds than younger ones [aOR = 1.76; CI = 1.01,3.05 for 30-39 years; aOR = 2.48; CI = 1.22, 5.05 for 40-49 years]. The qualitative findings revealed four main themes: conceptualisation of SRH, active engagement in SRH information seeking, tensions between knowledge and religious beliefs and perceived utility of SRH services. Despite the high levels of SRH knowledge and awareness among PwDs, there are significant gaps and challenges related to disability type, age group, misconceptions, beliefs, and service non-functionality that limit the utility of SRH services. The findings call for tailored education to reduce misconceptions and put in pragmatic steps to deliver quality SRH services and information to PwDs. Further research is needed to assess the sexual lives of PwDs and explore the perspectives of all relevant stakeholders, including service providers and policymakers on how to enhance SRH outcomes for PwDs in Ghana.
Persons with fibromyalgia experience a diverse set of symptoms. Recommendations for management generally focus on multidisciplinary approaches involving multiple modalities. Mobile apps can be an essential component for self-management, yet little is known about how persons with fibromyalgia use mobile apps for health-related purposes. A cross-sectional survey (N = 663) was conducted to understand the real-world use of apps among persons with fibromyalgia. The survey included 2 main foci: 1) eHealth literacy and use of information sources, and 2) mobile app use patterns and preferences for health-related purposes, including the types of apps used and usage characteristics of apps currently in use, as well as those that had been discontinued. Respondents' average eHealth literacy as measured by eHealth Literacy Scale (eHEALS) was 31.4 (SD = 7.1), and they utilized diverse information sources. Approximately two-thirds of the sample used mobile apps; the remaining one-third did not. Diverse health management needs were represented in the apps reported, including scheduling/time management, notetaking, fitness, and wellness. Compared to apps that had been discontinued, participants rated apps that they still used higher in terms of ease of use and used them more frequently. Reasons for discontinuing app use included issues with privacy, the effort required, lack of interest, and lack of perceived quality. Other reasons for app nonuse were lack of awareness and how-to knowledge, indicating that disseminating information about apps and addressing other barriers, such as providing user support, are critical to increasing uptake. These study findings can inform both app design and dissemination. PERSPECTIVE: This article presents how persons with fibromyalgia use mobile apps to manage their health. The findings could inform the development of digital interventions or programs for this population.
Pesticide labels and pictograms are the first and utmost source of information for safe use and personal protection of farmers and a legally binding document against environmental degradation reinforced by governments. The influence of pictogram information on the safe use of pesticides depends on the importance of pictogram to farmers and how they interpret its information. The present study explores farmers' interpretation of risk assessment data of pictograms displayed on pesticide labels. The statistical population is composed of all wheat and potato farmers in Ardabil County (N = 4964) of which 200 farmers were sampled based on Morgan's sampling table. Data were collected using a questionnaire for the 2018-2019 cropping year. The content validity of the research instrument was determined by a panel of faculty members and its reliability was confirmed by the coefficient of Cronbach's alpha. Results indicated that farmers had poor understanding of the pictograms. Unclarity of pictograms, inability to understand their meaning, and low literacy or illiteracy were the main causes of poor understanding of pictograms, respectively. Educational level, extension training, and attitude also had a positive significant relationship with pictogram comprehension. On the other hand, pictogram comprehension did not show a significant correlation with the use of personal protective equipment and the adoption of safety measures during pesticide handling and application. The results of multiple regression analysis indicated that the variables of attitude towards pictograms, information sources, educational level, and attending training courses on chemical pesticides were the main factors underpinning pictogram understanding so that they altogether accounted for 58% of the variance in the dependent variable of the research.
PGM1-linked congenital disorder of glycosylation (PGM1-CDG) is an autosomal recessive disease characterized by several phenotypes, some of which are life-threatening. Research focusing on the disease-related variants of the α-D-phosphoglucomutase 1 (PGM1) protein has shown that several are insoluble in vitro and expressed at low levels in patient fibroblasts. Due to these observations, we hypothesized that some disease-linked PGM1 protein variants are structurally destabilized and subject to protein quality control (PQC) and rapid intracellular degradation. Employing yeast-based assays, we show that a disease-associated human variant, PGM1 L516P, is insoluble, inactive, and highly susceptible to ubiquitylation and rapid degradation by the proteasome. In addition, we show that PGM1 L516P forms aggregates in S. cerevisiae and that both the aggregation pattern and the abundance of PGM1 L516P are chaperone-dependent. Finally, using computational methods, we perform saturation mutagenesis to assess the impact of all possible single residue substitutions in the PGM1 protein. These analyses identify numerous missense variants with predicted detrimental effects on protein function and stability. We suggest that many disease-linked PGM1 variants are subject to PQC-linked degradation and that our in silico site-saturated data set may assist in the mechanistic interpretation of PGM1 variants.