Yoxas/statistical_literacy huggingface dataset:
Globally, there is a growing number of people who are living with multiple long-term conditions (MLTCs). Due to complex management needs, it is imperative that research consists of participants who may benefit most from interventions. It is well documented that ethnic minority groups and lower socioeconomic status (SES) groups are at an increased risk of developing MLTCs. Therefore, the aim of this systematic review was to determine the level of reporting and representation of underserved groups (ethnic minority and low SES) in intervention studies addressing MLTCs. Systematic review. Four databases including Cochrane Library, MEDLINE, CINAHL and Scopus were searched for intervention studies from North America or Europe published between January 1990 and July 2023. Hospital and community-based interventions. We included interventional studies focusing on improving MLTC-related outcomes. Patients with MLTCs. Total number of studies reporting on ethnicity and SES. Number and proportion of studies reporting by ethnic/SES group. Thirteen studies met the inclusion criteria. Only 4 of 13 studies (31%) recorded and reported ethnicity information. Of these four studies that reported on ethnicity, three studies consisted of primarily White participants. Ethnic minority groups were underrepresented, but one study included a majority of African American participants. Moreover, 12 of 13 studies (92%) reported on SES with income and educational level being the primary measures used. SES representation of higher deprivation groups was varied due to limited data. For ethnicity, there was a lack of reporting, and ethnic minority groups were underrepresented in intervention studies. For SES, there was a high level of reporting but the proportion of study samples from across the spectrum of SES varied due to the variety of SES measures used. Findings highlight a need to improve the reporting and representation of ethnic minority groups and provide more detailed information for SES through using consistent measures (e.g. education, income and employment) to accurately determine the distribution of SES groups in intervention studies of people with MLTCs.
Globally, there is an increase in the need for emergency department visits, which is exceptionally high in pediatric patients, resulting in longer lengths of stay, which is a global challenge and a hospital bottleneck that increases the risk of patient morbidity and mortality while also lowering satisfaction. This study aimed to assess the length of stay and associated factors in the pediatric emergency department at Wolaita Sodo University Hospital in 2021. An institution-based cross-sectional investigation was undertaken from March 15 to May 15, 2021. The 422 study participants were chosen using a systematic sampling procedure. The data were collected using semi-structured interviewer-administered questionnaires and chart reviews. Epi Data version 4.6 was used to enter the data, while SPSS version 26 was used to analyze it. With a 95% confidence interval, descriptive statistics were used to describe the prevalence, pediatrics, and emergency department duration of stay. The factors related to the length of stay were identified using bivariable and multivariable logistic regression analysis. On the AOR, a significant level was proclaimed when the p-value was less than 0.05, and the confidence interval was less than 95%. The proportion of prolonged pediatric emergency department length of stay was 79.70% (95% CI; 75.7, 83.6). Nighttime arrival [AOR = 3.19, 95% CI (1.14, 8.98)], weekend arrival [AOR = 4.25, 95% CI (1.49, 5.35)], not receiving ordered medication in the hospital [AOR = 2.05, 95% CI (1.04, 4.03)], orange triage category [AOR = 4.01, 95% CI (1.60, 10.05)], and duration of pain 13-24 h [AOR = 0.29, 95% CI (0.89,0.98)], were significantly associated with length of stay. The percentage of children who stayed in the pediatric emergency department for an extended period was high. Policymakers should implement evidence-based care, maximize existing resources, provide equal access to care and high-quality care, and make pediatric emergency departments more accessible and operationally efficient.
Globally, visual impairment affects about 285 million (4.25%) people, of those, 266.4 million were adults aged 18 years and above. Ethiopia is one of developing countries estimated to have high prevalence of visual impairment which have an enormous socio-economic impact. Also there is limited available information regarding with the magnitude of visual impairment among adults in our country at large and east Gojjam zone in specific. Therefore the aim of this study was to assess the magnitude of visual impairment and its associated factors among patients attending Debre Markos Referral Hospital ophthalmic clinics in east Gojjam zone, North West Ethiopia. An institutional-based cross-sectional study was conducted at Debre Markos Referral Hospital which is the only hospital in east gojjam zone with ophthalmic care service from March 1 to 30, 2020 by using systematic random sampling technique to select study participants after informed consent was obtained. Data were collected by interview with 5% pretested, structured questionnaire and ocular examinations. Data were cleaned, coded and entered to Epi-data version-3.1, and analyzed using Statistical Package for Social Science software version 26. The descriptive statistics was presented in tables, text and graphs. Bivariable and multivariable logistic regression analysis to identify factors associated with visual impairment was conducted. Covariates with P-value < 0.05 were considered statistically significant. A study was conducted among 312 study participants with 96% response rate. The magnitude of visual impairment was 114 (36.5%) [95% CI, (33.8, 39.2%)]. Age > 50 years [AOR = 3.82; 95% CI (1.56, 9.35)], rural residency [AOR = 4.33 95% CI (1.30, 14.44)], inability to read and write [AOR = 3.21; 95% CI (1.18, 8.73)] and Cataract [AOR = 4.48; 95% CI (1.91, 10.52)] were factors significantly associated with visual impairment. The overall magnitude of visual impairment was found to be high. Older age, rural residency, inability to read and write and cataract were associated with visual impairment. Increasing literacy, expanded cataract surgery, as well as community based visual acuity screening especially for elders and rural residents is crucial. Zonal police makers should give emphasis on prevention of visual impairment to decrease economic, social and political burden of visual disability.
Glucagon and glucagon-like peptide-1 (GLP-1) are derived from the same precursor; proglucagon, and dual agonists of their receptors are currently being explored for the treatment of obesity and metabolic dysfunction-associated steatotic liver disease (MASLD). Elevated levels of endogenous glucagon (hyperglucagonaemia) have been linked with hyperglycaemia in individuals with type 2 diabetes but are also observed in individuals with obesity and MASLD. GLP-1 levels have been reported to be largely unaffected or even reduced in similar conditions. We investigated potential determinants of plasma proglucagon and associations of glucagon receptor signalling with metabolic diseases based on data from the UK Biobank. We used exome sequencing data from the UK Biobank for ~410,000 white participants to identify glucagon receptor variants and grouped them based on their known or predicted signalling. Data on plasma levels of proglucagon estimated using Olink technology were available for a subset of the cohort (~40,000). We determined associations of glucagon receptor variants and proglucagon with BMI, type 2 diabetes and liver fat (quantified by liver MRI) and performed survival analyses to investigate if elevated proglucagon predicts type 2 diabetes development. Obesity, MASLD and type 2 diabetes were associated with elevated plasma levels of proglucagon independently of each other. Baseline proglucagon levels were associated with the risk of type 2 diabetes development over a 14 year follow-up period (HR 1.13; 95% CI 1.09, 1.17; n=1562; p=1.3×10-12). This association was of the same magnitude across strata of BMI. Carriers of glucagon receptor variants with reduced cAMP signalling had elevated levels of proglucagon (β 0.847; 95% CI 0.04, 1.66; n=17; p=0.04), and carriers of variants with a predicted frameshift mutation had higher levels of liver fat compared with the wild-type reference group (β 0.504; 95% CI 0.03, 0.98; n=11; p=0.04). Our findings support the suggestion that glucagon receptor signalling is involved in MASLD, that plasma levels of proglucagon are linked to the risk of type 2 diabetes development, and that proglucagon levels are influenced by genetic variation in the glucagon receptor, obesity, type 2 diabetes and MASLD. Determining the molecular signalling pathways downstream of glucagon receptor activation may guide the development of biased GLP-1/glucagon co-agonist with improved metabolic benefits. All coding is available through https://github.com/nicwin98/UK-Biobank-GCG.
Goals of voice therapy and vocal pedagogy share similar principles and therefore, therapy approaches designed to improve the disordered voice may be equally effective when used to enhance healthy voice and vice versa. The purpose of this study was to investigate the effects of flow phonation voice exercises on vocal characteristics of students in undergraduate vocal music training programs and examine their potential use in vocal pedagogy. A total of 10 cis females were recruited and were randomized into two groups: an experimental group (group 1, n = 6) receiving five sessions of flow phonation intervention across 5 weeks; and a control group (group 2, n = 4) that did not receive any direct intervention other than vocal hygiene education. Participants provided data pertaining to auditory perception, subjective respiratory measures, voice-related quality of life, and vocal fatigue before and after 5 weeks. Flow phonation exercises consisted of cup bubble blowing, gargling, and stretch and flow. Wilcoxon signed ranks test was administered to compare outcomes across time points and between groups. Data indicate statistically significant changes in auditory perception of the singing voice, and voice-related quality of life for the group that received flow phonation exercises alone. No other measures showed statistical significance. Overall, this study indicates that the use of flow phonation voice exercises has the potential to improve voice instruction within the voice studio. While our target enrollments were not met to achieve optimal statistical power, our hypotheses were at least partially supported. In particular, positive intervention-related changes were observed in self-perceived voice handicap, and auditory perception of singing which were not observed in the control group.
Good Clinical Practice is an international standard for the design and conduct of clinical trials to ensure ethical and scientific integrity. Recent National Institutes of Health policy mandates Good Clinical Practice training for all investigators and staff involved in National Institutes of Health-funded clinical trials, yet approaches to Good Clinical Practice training vary widely. There are limited data on Good Clinical Practice knowledge among the clinical trial workforce and no evidence regarding effective methods to learn Good Clinical Practice. We used an exploratory sequential mixed-methods design. We conducted 18 exploratory qualitative interviews with clinical research coordinators to help inform the development of the quantitative survey. We then administered a validated 32-item, multiple-choice test of Good Clinical Practice knowledge with a survey of work and training experiences to 625 clinical research coordinators at three academic medical centers in the United States. Variables that were significantly associated with Good Clinical Practice knowledge were entered into a multiple regression analysis to identify unique predictors of Good Clinical Practice knowledge. We controlled for verbal-numerical reasoning and learning orientation. During qualitative interviews, clinical research coordinators reported that formal Good Clinical Practice training had value but they simultaneously emphasized the importance of experience, day-to-day practice, and observing colleagues and mentors as essential to supplement formal training. In our quantitative survey, five variables predicted a total of 22% of variance in Good Clinical Practice knowledge scores: years of experience as a clinical research coordinator, working on diverse types of trials, supporting industry-funded trials, being certified in clinical research coordination, and aggregated hours of online and face-to-face training (in that order). The duration and richness of experience as a clinical research coordinator were the strongest predictors of Good Clinical Practice knowledge, a finding consistent with our exploratory qualitative interview results. Our findings suggest that formal online and face-to-face training has a minimal influence on Good Clinical Practice knowledge. The type of training-whether online or face to face-does not make a significant difference in Good Clinical Practice knowledge scores. Much of the variance in Good Clinical Practice knowledge remains unexplained, calling for further research in this area.
Good design of cancer registry systems makes them easy to use, while poor design of their user interfaces leads to user dissatisfaction and resistance. The objective of this study was to evaluate the usability of a cancer registry system using Cognitive Walkthrough (CW) and to assess users' agreement with its usability problems. CW was used to evaluate the registry system. We developed a checklist to help evaluators speed up the evaluation process, a problems form to collect the usability issues identified by the evaluators, and a problems severity form to determine the severity of problems by the evaluators. The problems were classified into two categories according to the CW questions and the system tasks. The agreement of the users with the system problems was examined by an online questionnaire. Users' agreement with the problems was then analyzed using the Interclass Correlation Coefficient in the SPSS 22 (Statistical Package for Social Science). In this study, 114 problems were identified. In the categorization of problems based on the CW questions, 41% (n = 47) of the problems concerned the issue of "users do not know what to do at each stage of working with the system", 24% (n = 27) were classified as "users cannot link what they intend to do with system controls", and 22% (n = 25) were related to "user's lack of understanding of the system processes". Based on user tasks, about 36% (n = 41) of the problems were related to "removing patient duplication" and 33% (n = 38) were related to "registration of patient identification information". User agreement with the problems was high (CI 95% = 0.9 (0.96, 0.98)). System problems often originate from user ignorance about what to do at each stage of using the system. Also, half of the system problems concern a mismatch between what users want to do and the system controls, or a lack of understanding about what the system does at different stages. Therefore, to avoid user confusion, designers should use clues and guides on the screen for users, design controls consistent with the user model of thinking, and provide appropriate feedback after each user action to help users understand what the system is doing. The high agreement of users with the problems showed that in the absence of users system designers can use CW to identify the problems that users face in the real environment.
Good food safety practices are essential to minimizing foodborne diseases. The present study explored the food safety-related practices of residents during the COVID-19 pandemic in Southwest China and identified the impacting factors. Residents aged 18-75 years from Guizhou, Yunnan, Sichuan, and Chongqing, China, were included in our study. The convenience sampling method was used to select participants, and face-to-face surveys were conducted in households and communities to collect data. Descriptive statistics including sociodemographic characteristics of respondents and weighted percentages were obtained and the log-binomial regression was used to evaluate the influencing factors associated with food safety-related practices. Overall, 7,848 respondents were involved, with 97.5% efficacy. Disparities in food safety-related practices were observed between males and females, with the former performing poorer practices than the latter (70.5% vs. 68.0%, respectively). Notably, paying attention to nutrition labels when shopping for prepackaged foods was the worst practice. Age, ethnicity, region, occupation, education level, and income were identified as significant determinants of food safety-related practices. Moreover, in comparison to males, females were more likely to acquire pertinent knowledge from diverse sources, including social media, family members/ friends, books/ newspapers/ magazines, experts, and food sales staff (p < 0.05). Males performed inferior food safety-related practices than females during the COVID-19 pandemic in Southwest China. It is suggested that future food safety education programs should incorporate diverse targeted approaches, with emphasis on males. The role of mainstream media in promoting food safety practices should be expanded and prioritized in the forthcoming initiatives.
Good health self-management positively affects the health of healthcare providers and their ability to manage their patients' health. This study explored the relationship between ehealth literacy, health self-management skills, and mental health literacy among undergraduate nursing students. Some studies have confirmed the correlation between e-health literacy and health self-management skills, while mental health literacy may be correlated with both, and this study aims to explore the relationship between the three. A descriptive cross-sectional survey was conducted at a medical university in northwestern China among 385 Chinese undergraduate nursing students. Participants completed the General Information Questionnaire, the Adult Health Self-Management Skills Rating Scale, the Mental Health Literacy Rating Scale, and the eHealth Literacy Scale, and provided valid responses. The IBM SPSS 27.0 statistical software was used for data entry and descriptive analysis, t-test, ANOVA, and Pearson correlation analysis. The IBM Amos 26.0 was used to construct the mediation effect model, and the Bootstrap method was employed to test mediating effects. Mental health literacy, ehealth literacy, and health self-management skills of undergraduate nursing students were at a moderate to high level. Mental health literacy, ehealth literacy, and health self-management were positively correlated. Mental health literacy, particularly, played a partial mediating role of 31.1% ( 95% CI [0.307-1.418] ) between ehealth literacy and health self-management. Undergraduate nursing students' mental health literacy partially mediates the link between eHealth literacy and health self-management skills. Schools should emphasize the development of nursing students' e-health literacy and mental health literacy in order to improve their health self-management skills, which will not only bring about a better health outcome for the students, but will also benefit the health of the social population.
Good science necessitates diverse perspectives to guide its progress. This study introduces Datawiz-IN, an educational initiative that fosters diversity and inclusion in AI skills training and research. Supported by a National Institutes of Health R25 grant from the National Library of Medicine, Datawiz-IN provided a comprehensive data science and machine learning research experience to students from underrepresented minority groups in medicine and computing. The program evaluation triangulated quantitative and qualitative data to measure representation, innovation, and experience. Diversity gains were quantified using demographic data analysis. Computational projects were systematically reviewed for research productivity. A mixed-methods survey gauged participant perspectives on skills gained, support quality, challenges faced, and overall sentiments. The first cohort of 14 students in Summer 2023 demonstrated quantifiable increases in representation, with greater participation of women and minorities, evidencing the efficacy of proactive efforts to engage talent typically excluded from these fields. The student interns conducted innovative projects that elucidated disease mechanisms, enhanced clinical decision support systems, and analyzed health disparities. By illustrating how purposeful inclusion catalyzes innovation, Datawiz-IN offers a model for developing AI systems and research that reflect true diversity. Realizing the full societal benefits of AI requires sustaining pathways for historically excluded voices to help shape the field.
Good water, sanitation, and hygiene (WASH) enhance healthy living and safe environments for child development. The study aimed to evaluate the impact of an educational intervention on WASH status, knowledge, attitudes and practices in early child development (ECD) centres in low socio-economic areas in the Nelson Mandela Bay in 2021. This quasi-experimental, one group, pre-post-test study elicited responses from 51 ECD practitioners (1 per ECD centre). Telephonic structured knowledge, attitude and practices (KAP) questionnaires were used. KAP was good among participants. The educational intervention significantly improved mean knowledge (p<0.001, 95% CI: 0.58-1.11) attitudes (p<0.001, 95% CI: 0.39-0.67) and practices (p = 0.001, 95% CI: 0.20-0.74). WASH knowledge was significantly impacted by toilet facilities ventilation status (p = 0.083) while WASH attitudes scores were significantly impacted by ventilation where the potties are kept (p = 0.041). WASH practice scores were significantly impacted by across the bush/field (no facility) (p = 0.021) and plastic potties usage (p = 0.057). The educational intervention significantly improved WASH-related knowledge, attitudes, and practices among ECD practitioners. WASH conditions in the ECD centres in the study area require additional interventions targeted to sustainable strategies to enhance behavioural modifications for acceptability and sustainability of intervention strategies.
Google Maps Directions Application Programming Interface (the API) and AccessMod tools are increasingly being used to estimate travel time to healthcare. However, no formal comparison of estimates from the tools has been conducted. We modelled and compared median travel time (MTT) to comprehensive emergency obstetric care (CEmOC) using both tools in three Nigerian conurbations (Kano, Port-Harcourt, and Lagos). We compiled spatial layers of CEmOC healthcare facilities, road network, elevation, and land cover and used a least-cost path algorithm within AccessMod to estimate MTT to the nearest CEmOC facility. Comparable MTT estimates were extracted using the API for peak and non-peak travel scenarios. We investigated the relationship between MTT estimates generated by both tools at raster celllevel (0.6 km resolution). We also aggregated the raster cell estimates to generate administratively relevant ward-level MTT. We compared ward-level estimates and identified wards within the same conurbation falling into different 15-minute incremental categories (<15/15-30/30-45/45-60/+60). Of the 189, 101 and 375 wards, 72.0%, 72.3% and 90.1% were categorised in the same 15- minute category in Kano, Port-Harcourt, and Lagos, respectively. Concordance decreased in wards with longer MTT. AccessMod MTT were longer than the API's in areas with ≥45min. At the raster cell-level, MTT had a strong positive correlation (≥0.8) in all conurbations. Adjusted R2 from a linear model (0.624-0.723) was high, increasing marginally in a piecewise linear model (0.677-0.807). In conclusion, at <45-minutes, ward-level estimates from the API and AccessMod are marginally different, however, at longer travel times substantial differences exist, which are amenable to conversion factors.