Yoxas/statistical_literacy huggingface dataset:
Given the increasing number of people achieving exceptionally long lifespans, there is an urgent need for a better understanding of mental health in centenarians. This study aimed to understand the prevalence of mental health conditions-depressive symptoms, anxiety, sleep disturbances, disinhibition, and aberrant motor behaviour-among centenarians in Switzerland. Data were collected from N = 169 participants via telephone interviews or paper questionnaires, either directly from centenarians or through proxy informants. Half the data were collected during a period when protective measures were imposed due to the COVID-19 pandemic, and half were collected after the measures were lifted. Mental health conditions were prevalent in our sample, particularly depressive symptoms (44.51%) and anxiety (42.17%). Significant positive associations were found between depressive symptoms and anxiety, and between disinhibition and aberrant motor behaviour. Furthermore, we identified statistical predictors for the occurrence of mental health conditions. Notably, institutionalised living increased the odds of depressive symptomatology, while those with higher education levels or an absence of cognitive impairment experienced more sleep disturbances. Finally, cognitive impairment was linked to increased disinhibition and aberrant motor behaviour. The high prevalence of mental health conditions underscores the need for proactive mental health care strategies in advanced old age. Moreover, it is vital to consider the interconnected nature of mental health conditions and to prioritise vulnerable groups, such as centenarians in institutional settings.
Given the increasing significance and potential impact of artificial intelligence (AI) technology on health care delivery, there is an increasing demand to integrate AI into medical school curricula. This study aimed to define medical AI competencies and identify the essential competencies for medical graduates in South Korea. An initial Delphi survey conducted in 2022 involving 4 groups of medical AI experts (n = 28) yielded 42 competency items. Subsequently, an online questionnaire survey was carried out with 1,955 participants (1,174 students and 781 professors) from medical schools across South Korea, utilizing the list of 42 competencies developed from the first Delphi round. A subsequent Delphi survey was conducted with 33 medical educators from 21 medical schools to differentiate the essential AI competencies from the optional ones. The study identified 6 domains encompassing 36 AI competencies essential for medical graduates: (1) understanding digital health and changes driven by AI; (2) fundamental knowledge and skills in medical AI; (3) ethics and legal aspects in the use of medical AI; (4) medical AI application in clinical practice; (5) processing, analyzing, and evaluating medical data; and (6) research and development of medical AI, as well as subcompetencies within each domain. While numerous competencies within the first 4 domains were deemed essential, a higher percentage of experts indicated responses in the last 2 domains, data science and medical AI research and development, were optional. This medical AI framework of 6 competencies and their subcompetencies for medical graduates exhibits promising potential for guiding the integration of AI into medical curricula. Further studies conducted in diverse contexts and countries are necessary to validate and confirm the applicability of these findings. Additional research is imperative for developing specific and feasible educational models to integrate these proposed competencies into pre-existing curricula.
Given the increasingly large number of loci discovered by psychiatric GWAS, specification of the key biological pathways underlying these loci has become a priority for the field. We have previously leveraged the pleiotropic genetic relationships between schizophrenia and two cognitive phenotypes (educational attainment and cognitive task performance) to differentiate two subsets of illness-relevant SNPs: (1) those with "concordant" alleles, which are associated with reduced cognitive ability/education and increased schizophrenia risk; and (2) those with "discordant" alleles linked to reduced educational and/or cognitive levels but lower schizophrenia susceptibility. In the present study, we extend our prior work, utilizing larger input GWAS datasets and a more powerful statistical approach to pleiotropic meta-analysis, the Pleiotropic Locus Exploration and Interpretation using Optimal test (PLEIO). Our pleiotropic meta-analysis of schizophrenia and the two cognitive phenotypes revealed 768 significant loci (159 novel). Among these, 347 loci harbored concordant SNPs, 270 encompassed discordant SNPs, and 151 "dual" loci contained concordant and discordant SNPs. Competitive gene-set analysis using MAGMA related concordant SNP loci with neurodevelopmental pathways (e.g., neurogenesis), whereas discordant loci were associated with mature neuronal synaptic functions. These distinctions were also observed in BrainSpan analysis of temporal enrichment patterns across developmental periods, with concordant loci containing more prenatally expressed genes than discordant loci. Dual loci were enriched for genes related to mRNA translation initiation, representing a novel finding in the schizophrenia literature.
Given the international growth of physician associate/physician assistant (PA) and PA-comparable professions, it is crucial to understand the educational curricula of PA/PA-comparable professions worldwide. This article provides an overview of the process and development of the PA/PA-comparable curricula mapping design applying an international framework. It uses an innovative web-based tool, the Learning Opportunities, Objectives, and Outcomes Platform (LOOOP), to map and evaluate course content, teaching strategies, assessment formats, and learning outcomes. It highlights the project's rationale, challenges, and future implications.
Given the lack of a definitive treatment and the poor prognosis of patients with diffuse midline glioma (DMG) and diffuse intrinsic pontine glioma (DIPG), socioeconomic status (SES) may affect treatment access and therefore survival. Therefore, this study aimed to examine the relationship between SES and treatment modalities, progression-free survival (PFS), and overall survival (OS) in children with DMG/DIPG. A retrospective, single-institution review was conducted of medical records of patients ≤ 18 years of age who had DMG or DIPG that was diagnosed between 2000 and 2022. Patient demographics, surgical interventions, chemotherapy, radiation therapy, clinical trial enrollment, and medical care-related travel were extracted. SES variables (education and mean income) for associated patient census tracts were collected and stratified. Statistical analysis using unpaired t-tests, chi-square analysis, and log-rank tests was conducted. Of the 96 patients who met the inclusion criteria, the majority were female (59%) and non-Hispanic White (57%). The median PFS, median OS, and time from diagnosis to treatment did not differ between races/ethnicities or sex. Ninety-one of 96 patients had census tract data available. Patients from higher-income census tracts (> 50% of families with annual household income greater than $50,000) had a longer median OS (480 vs 235 days, p < 0.001) and traveled significantly longer distances for medical care (1550 vs 1114 miles, p = 0.048) than families from lower-income census tracts. Patients from the highest education quartile traveled significantly farther for treatment than the lowest education quartile (mean 2964 vs 478 miles, p = 0.047). Patients who received both oral and intravenous chemotherapy were more likely to be from higher-income census tracts than those who received intravenous or no chemotherapy. Duration of PFS, rates of clinical trial enrollment, biopsy rates, H3K27 mutation status, ventriculoperitoneal shunt placement rates, and radiotherapy rates were not associated with SES variables. Patients from families from higher-income census tracts experienced longer OS and traveled farther for treatment. Patients from families from higher-education-level census tracts traveled more often for treatment. The authors' findings suggest that SES influences DMG and DIPG OS. More studies should be done to understand the role of SES in the outcomes of children with DMG/DIPG.
Given the limited information on parental health literacy measurements, the study aimed to develop and validate the Chinese Parental Health Literacy Questionnaire for caregivers of children 0 to 3 years old. We conducted a validity and reliability study of the questionnaire through a cross-sectional survey and test-retest analysis respectively between March and April 2017. We recruited 807 caregivers of children 0 to 3 years old, among them 101 caregivers completed the test-retest assessment with 2 weeks interval. The reliability was determined by internal consistency, spilt-half reliability and test-retest reliability. The construct validity was assessed by confirmatory factor analysis. The 39-question Chinese Parental Health Literacy Questionnaire was demonstrated high internal consistency (Cronbach's α = 0.89), spilt-half reliability (Spearman-Brown coefficient = 0.92) and test-retest reliability (Pearson correlation coefficient = 0.82). The confirmatory factor analysis showed that the construct of the questionnaire fitted well with the hypothetical model. The participants' test scores of the Chinese Parental Health Literacy Questionnaire in the cross-sectional survey were positively associated with caregivers being mothers, more educated, the children with Shanghai Hukou, having only one child in the family, and higher family income. The Chinese Parental Health Literacy Questionnaire demonstrated good reliability and validity, which could potentially be used as an effective evaluation instrument to assess parental health literacy.
Given the massive increase in digital health tools, the question about the impact of these tools on health equity has gained importance. The aim of this narrative review is to discuss the extent and central aspects of the digital divide. To illustrate the extent of the digital divide, we draw on data from the Liter@te study, which interviewed low-literacy individuals regarding their use of digital health tools and their digital health literacy. The results of the Liter@te study are compared with population surveys conducted in parallel. Four areas can be distinguished in relation to digital divides: access, use, effectiveness, and privacy. Inequalities can be observed in all four areas. While differences in access or material infrastructure, as well as in usage patterns and the required literacies, have already been investigated in some studies, the data basis for a comprehensive assessment of the unequal effects of digital health tools in different population groups is still lacking. Digital divides in the area of privacy protection is an emerging field. However, transparent and understandable privacy measures will undoubtedly be an important prerequisite for the widespread use of digital health tools. Overall, in addition to a better data base, involvement of disadvantaged population groups in the development of digital health interventions is necessary.
Given the need for a diverse health care workforce, efforts must be made early in their education to support underrepresented minorities in medicine and the science, technology, engineering, and mathematics (STEM) fields. The Eyes on the Future program introduces underrepresented minority 8th grade students to science and medicine via interactive science-based programming and mentorship by medical and graduate students. Program impact was evaluated using pre- and post-program surveys. Of 25 participating students, 24 and 22 responded to pre- and post-program surveys, respectively. Students showed strong interest in science concepts and STEM careers, with high, positively correlated, and statistically similar pre- and post-program survey responses. The Eyes on the Future program was well-received and represents a step towards addressing barriers to STEM careers faced by underrepresented minority students.
Given the negative environmental impacts of pharmaceuticals, including their contribution to healthcare's carbon footprint, pharmacists have a role in responding to the climate and biodiversity crises. Knowledge and education are required to support transitions to environmentally sustainable pharmacy practice (ESPP). The aim of this study was to explore Australian undergraduate pharmacy students' knowledge and attitudes towards environmental sustainability and ESPP curriculum content. Participants were surveyed using an anonymous online questionnaire deployed using Qualtrics. The questionnaire comprised of two main sections: the 15-item New Ecological Paradigm (NEP) scale to determine participants' environmental attitude score, and section on students' perceptions and curricular experience of environmentally sustainable practice which was adapted from previously published surveys. The invitation with survey link was disseminated via social media, Australian pharmacy student organisations, and direct approach. Quantitative data were reported descriptively. Qualitative data from responses to open-ended questions were analysed thematically using a reflexive, recursive approach. Incomplete survey responses were excluded from the analysis. Of the 164 complete responses, 99% had previously received information on environmental sustainability. However, only 10% were knowledgeable about ESPP and only 8.5% were aware of ESPP content in their pharmacy school curriculum. Importantly, 70% of respondents saw ESPP as relevant to their future pharmacy practice, and 94% believed the pharmacy profession has a responsibility to undertake sustainability initiatives in the delivery of pharmaceutical care. Australian pharmacy students lacked knowledge of ESPP and few reported having curricular exposure to ESPP content in their pharmacy degrees. Therefore, ESPP content is an important area for development in pharmacy curricula.
Given the psychosocial burdens patients in advanced stages of cancer face, innovative care concepts are needed. At the same time, such vulnerable patient groups are difficult to reach for participation in intervention studies and randomized patient inclusion may not be feasible. This article aims to identify systematic biases respectively selection effects occurring during the recruitment phase and to discuss their potential causes based on a non-randomized, multicenter intervention study with patients in advanced stages of cancer. Patients diagnosed with at least one of 16 predefined cancers were recruited at four hospitals in three German cities. The effect of social care nurses' continuous involvement in acute oncology wards was measured by health-related quality of life (EORTC QLQ-C30), information and participation preferences, decisional conflicts, doctor-patient communication, health literacy and symptom perception. Absolute standardized mean difference was calculated as a standardized effect size to test baseline characteristics balance between the intervention and control groups. The study enrolled 362 patients, 150 in the intervention and 212 in the control group. Except for gender, both groups differed in relevant socio-demographic characteristics, e.g. regarding age and educational background. With respect to the distribution of diagnoses, the intervention group showed a higher symptom burden than the control group. Moreover, the control group reported better quality of life at baseline compared to the intervention group (52.6 points (SD 21.7); 47.8 points (SD 22.0), ASMD = 0.218, p = 0.044). Overall, the intervention group showed more social and health vulnerability than the control group. Among other factors, the wide range of diagnoses included and structural variation between the recruiting clinics increased the risk for bias. We recommend a close, continuous monitoring of relevant social and health-related characteristics during the recruitment phase as well as the use of appropriate statistical analysis strategies for adjustment, such as propensity score methods. German Clinical Trials Register (DRKS-ID: DRKS00013640 ); registered on 29th December 2017.
Given the rapid increase in health information available, health literacy is now more important than ever when searching for health information online. Furthermore, health literacy and online health information searching are reported to be associated with support from others. In this study, we examined the associations of health literacy and social support with online health information searching among individuals in their 50s and 60s. Between March and May 2022, an anonymous self-administered questionnaire was administered among 750 middle-aged and older adults (age 50-69) living in northern Japan. The questionnaire items included personal characteristics, frequency of online health information searching, health literacy domains, and social support. A total of 237 respondents answered all the items (response rate: 31.6%). Multiple logistic regression analysis revealed that communicative health literacy was significantly associated with searching for information about illnesses and health promotion, while critical health literacy was significantly associated with searching for information about medical institutions. Controlling for personal characteristics, health literacy, was associated with online health information searching, suggesting that improving health literacy is important in a digital and information society.
Given the rarity of tracheobronchopathia osteochondroplastica (TO), many young doctors in primary hospitals are unable to identify TO based on bronchoscopy findings. To build an artificial intelligence (AI) model for differentiating TO from other multinodular airway diseases by using bronchoscopic images. We designed the study by comparing the imaging data of patients undergoing bronchoscopy from January 2010 to October 2022 by using EfficientNet. Bronchoscopic images of 21 patients with TO at Anhui Chest Hospital from October 2019 to October 2022 were collected for external validation. Bronchoscopic images of patients with multinodular airway lesions (including TO, amyloidosis, tumors, and inflammation) and without airway lesions in the First Affiliated Hospital of Guangzhou Medical University were collected. The images were randomized (4:1) into training and validation groups based on different diseases and utilized for deep learning by convolutional neural networks (CNNs). We enrolled 201 patients with multinodular airway disease (38, 15, 75, and 73 patients with TO, amyloidosis, tumors, and inflammation, respectively) and 213 without any airway lesions. To find multinodular lesion images for deep learning, we utilized 2183 bronchoscopic images of multinodular lesions (including TO, amyloidosis, tumor, and inflammation) and compared them with images without any airway lesions (1733). The accuracy of multinodular lesion identification was 98.9%. Further, the accuracy of TO detection based on the bronchoscopic images of multinodular lesions was 89.2%. Regarding external validation (using images from 21 patients with TO), all patients could be diagnosed with TO; the accuracy was 89.8%. We built an AI model that could differentiate TO from other multinodular airway diseases (mainly amyloidosis, tumors, and inflammation) by using bronchoscopic images. The model could help young physicians identify this rare airway disease.
Given the social, economic, and health consequences of early parenthood, unintended pregnancy, and the risks of HIV infection and subsequent transmission, there is an urgent need to understand how adolescents make sexual and reproductive decisions regarding contraceptive use. This study sought to assess the association between female adolescents' reproductive health decision-making capacity and their contraceptive usage. Data was obtained from pooled current Demographic and Health Surveys (DHS) conducted in 32 countries in sub-Saharan Africa (SSA). The unit of analysis for this study was adolescents in sexual unions [n = 15,858]. Bivariate and multivariable analyses were conducted using Pearson chi-square tests and binary logistic regression respectively. All analyses were performed using STATA version 14.2. Results were presented using Odds Ratios [OR] and adjusted Odds Ratios [AOR]. Statistical significance was set at p<0.05. The results showed that 68.66% of adolescents in SSA had the capacity to make reproductive health decisions. The overall prevalence of contraceptive use was 18.87%, ranging from 1.84% in Chad to 45.75% in Zimbabwe. Adolescents who had the capacity to take reproductive health decisions had higher odds of using contraceptives [AOR = 1.47; CI = 1.31-1.65, p < 0.001]. The odds of contraceptive use among female adolescents increased with age, with those aged 19 years having the highest likelihood of using contraceptives [AOR = 3.12; CI = 2.27-34.29, p < 0.001]. Further, the higher the level of education, the more likely female adolescents will use contraceptives, and this was more predominant among those with secondary/higher education [AOR = 2.50; CI = 2.11-2.96, p < 0.001]. Female adolescents who were cohabiting had higher odds of using contraceptives, compared to those who were married [AOR = 1.69; CI = 1.47-1.95, p < 0.001]. The odds of contraceptive use was highest among female adolescents from the richest wealth quintile, compared to those from the poorest wealth quintile [AOR = 1.65; CI = 1.35-2.01, p<0.001]. Conversely, female adolescents in rural areas were less likely to use contraceptives, compared to those in urban areas [AOR = 0.78; CI = 0.69-0.89, p < 0.001]. The use of general and modern contraceptives among adolescents in SSA remains low. Therefore, there is a need to strengthen existing efforts on contraceptives usage among adolescents in SSA. This goal can be achieved by empowering these young females, particularly those in the rural areas where the level of literacy is very low to take positive reproductive health decisions to prevent unintended teenage pregnancy, HIV/AIDs and other sexually transmitted infections. This approach would help reduce maternal mortality and early childbirth in studied SSA countries.
Glaucoma is a serious eye disease that impairs eyesight and negatively impacts quality of life. If left untreated, glaucoma can lead to blindness. This study aims at assessing the quality of life among glaucoma patients in the West Bank (WB) of Palestine and main influencing the factors. This is a cross-sectional study and included two questionnaires; the Short-Form 36 Health Survey (SF-36) and Glaucoma Quality of Life-15 (GQL-15). Data were collected from a systematically randomized 100 glaucoma patients in the WB. ANOVA test was used to compare means of continuous variables at a statistically significant P value ≤ to 0.05. The overall quality of life among glaucoma patients was relatively suboptimal. The analysis revealed that the glaucoma quality of life is worse among older patients (mean=3.55±0.64), patients who are less educated (mean=3.91±0.77), among patients who were unemployed (mean=3.44±0.86), and patients who were treated in private clinics (3.57±0.8). Patients with good health (mean=2.48±0.94), type of glaucoma (close glaucoma; mean=3.22±0.9), less than 5 years duration of glaucoma (mean=2.88±1.13), and less than 5 years duration of cryonic diseases (mean=2.48±0.73 have a better glaucoma quality of life. This study revealed numerous factors that can impact the quality of life of glaucoma patients in WB. Health professionals, specialists, ophthalmologists, and health educators should be aware of how various socioeconomic and general health factors impact the quality of life of glaucoma patients in order to better diagnose, manage, guide, and educate patients for better health outcomes.