Yoxas/statistical_literacy huggingface dataset:
To identify what coaches, support staff, and athletes believe should be considered when implementing menstrual cycle tracking in sport. Concept mapping (mixed-methods participatory approach). Participants brainstormed statements in response to the focus prompt "What should be considered when tracking menstrual cycles in sport?" Participants then sorted the statements into groups according to meaning and rated each statement on its importance and feasibility to address. Twenty-six participants (12 athletes and 14 coaches/support staff) generated 53 ideas that the research team synthesised to 57 unique statements. Sixteen participants sorted the statements into an average of 8 (±4) groups. Six clusters were identified as the most appropriate representation of the sorting data following multidimensional scaling and hierarchical cluster analysis: 1) Ethics, 2) Tracking Tools and Methods, 3) Performance and Health, 4) Education, 5) Interpretation and Framing and 6) Communication. Participants rated each statement based on their importance (n = 12) and feasibility (n = 10), respectively. The most important (mean = 3.88 out of 5) and feasible (mean = 3.85 out of 5) cluster was Ethics, whilst the least important (mean = 3.17) and feasible (mean = 3.04) was Communication. Ethical considerations pertaining to privacy, consent, and scope of practice should be prioritised when tracking menstrual cycles in sport. A low burden method of tracking, which allows for some individualisation based on athletes' preferences or needs, and menstrual health education should also be undertaken to improve the uptake and impact of menstrual cycle tracking.
to identify, according to students' perception, controversies related to the term "pesticide" and its influence on health. field research, with qualitative analysis via discursive textual analysis. Collective interviews were carried out with students of ninth grade of elementary school from four rural schools in the western region of Paraná. when analyzing students' statements, it was identified that pesticides are part of their reality and that of the local community Controversies related to pesticides and health arose, with emphasis on the form of production and the understanding of the real harm generated by exposure and use of pesticides. approaching pesticides in the context of education and health is essential so that there is a strengthening of discussions, in a critical and contextualized way, in school spaces, expanding the look at the topic as a way of enriching understandings and discourses on the subject.
To illustrate how experts efficiently navigate a "slowing down moment" to obtain optimal surgical outcomes using the neurovascular bundle sparing during a robotic prostatectomy as a case study. A series of semistructured interviews with four expert uro-oncologists were completed using a cognitive task analysis methodology. Cognitive task analysis, CTA, refers to the interview and extraction of a general body of knowledge. Each interview participant completed four 1 to 2-hour semistructured CTA interviews. The interview data were then deconstructed, coded, and analyzed using a grounded theory analysis to produce a CTA-grid for a robotic prostatectomy for each surgeon, with headings of: surgical steps, simplification maneuvers, visual cues, error/complication recognition, and error/complication management and avoidance. The study took place at an academic teaching hospital located in an urban center in Canada. Four expert uro-oncologists participated in the study. Visual cues, landmarks, common pitfalls, and technique were identified as the 4 key components of the decision-making happening during a slowing down moment in the neurovascular bundle sparing during a robotic prostatectomy. The data obtained from the CTA is novel information identifying patterns and cues that expert surgeons use to inform their surgical decision-making and avoid errors. This decision-making knowledge of visual cues, landmarks, common pitfalls and techniques is also generalizable for other surgical subspecialties. Surgeon educators, surgical teaching programs and trainees looking to improve their decision-making skills could use these components to guide their educational strategies.
To improve diagnostic ability, educators should employ multifocal strategies. One promising strategy is self-explanation, the purposeful technique of generating self-directed explanations during problem-solving. Students self-explain information in ways that range from simple restatements to multidimensional thoughts. Successful problem-solvers frequently use specific, high-quality self-explanation types. In a previous phase of research, unique ways that family nurse practitioner (NP) students self-explain during diagnostic reasoning were identified and described. This study aims to (a) explore relationships between ways of self-explaining and diagnostic accuracy levels and (b) compare differences between students of varying expertise in terms of ways of self-explaining and diagnostic accuracy levels. Identifying high-quality diagnostic reasoning self-explanation types may facilitate development of more refined self-explanation educational strategies. Thirty-seven family NP students enrolled in the Doctor of Nursing Practice program at a large, Midwestern university diagnosed three written case studies while self-explaining. During the quantitative phase of a content analysis, associational and comparative data analysis techniques were applied. Expert students voiced significantly more clinical and biological inference self-explanations than did novice students. Diagnostic accuracy scores were significantly associated with biological inference scores. Clinical and biological inference scores accounted for 27% of the variance in diagnostic accuracy scores, with biological inference scores significantly influencing diagnostic accuracy scores. Not only were biologically focused self-explanations associated with diagnostic accuracy, but also their spoken frequency influenced levels of diagnostic accuracy. Educational curricula should support students to view patient presentations in terms of underlying biology from the onset of their education.
To improve horse welfare and ensure a sustainable equestrian future, we need to understand human behavior in relation to the challenges of the sector. The purpose of this paper is to map and analyze how individuals within the equine sector in Sweden and Norway define the environmental challenges they are faced with and how these are related to questions about horse welfare. A mixed-methods parallel design was used. The data consist of survey answers and semi-structured interviews. The survey, responded to by 697 Swedish and Norwegian participants, ensured statistical validity and power through a sample size calculation yielding approximately 385 participants. To deepen the understanding, 36 semi structured interviews with Swedish and Norwegian interviewees were conducted. An analysis of convergencies and divergencies between the data sets provided robust insights into the perceptions and behaviors within the equine sector in Sweden and Norway. The findings show that the equine sector has cultivated a stronger environmental commitment over the last 15 years (Svala, 2008). However, many participants express a perceived lack of influence on this transformation. The COM-B model (Michie, Van Stralen & West, 2011; Michie, Atkins & West, 2014) and previous research on 'thinking structures on climate delay' (Wormbs & Wolrath, 2023) are used to interpret the data. The analysis indicates that there is an overall capacity for change, and that skills and knowledge exist, but some individuals desire more information and a deeper understanding of the issues at hand. Higher barriers to change were found in the opportunity component, where physical constraints such as location, resources, and time seem challenging for individual actors to influence. Economic factors are also identified as impediments to transformation. Cultural norms related to orderliness within stables, although not directly addressing ecological nor ethical challenges, might serve as a foundation for promoting environmental initiatives that will also improve horse welfare.
To improve rates of exclusive breastfeeding during the postpartum hospital stay by implementing a new role of dedicated neonatal assessment nurse (NAN), whose primary function was neonatal care beginning immediately after birth. Quality improvement project with plan-do-study-act using evidence-based guidelines for implementing the NAN role. Labor and delivery department of a tertiary care teaching hospital in the southeastern United States; breastfeeding exclusivity rates at this hospital were in the range of 50%. Registered nurses employed in the labor-delivery-recovery unit, mother-baby unit, and NICU. The NAN role was implemented to promote immediate skin-to-skin care (SSC) for stable newborns after vaginal and cesarean birth. Each NAN's competency was evaluated at the beginning and end of the education session through a pretest/posttest, and a skills validation was used to affirm their readiness for the new role. The outcome measure was breastfeeding exclusivity at the time of discharge from the hospital. SSC initiation and duration immediately after birth were the process measures. Twenty-five bedside registered nurses participated in this quality improvement project. There was a statistically significant difference between the pretest and posttest scores (p < .001), indicating a knowledge increase. All nurses met the skills validation criteria. The rate of SSC immediately after vaginal birth increased from 49% to 82% and after cesarean birth from 33% to 63%. Breastfeeding exclusivity rate at the time of discharge from the hospital increased from 50% to 86%. The NAN role provided transitional care at the bedside without the separation of mothers and newborns. This was an innovative role, without the need to hire new staff, that provided evidence-based care, resulting in improved SSC and exclusivity of breastfeeding before discharge.
To improve timely and equitable access to postpartum blood pressure (BP) monitoring in individuals with hypertensive disorders of pregnancy (HDP). A quality improvement initiative was implemented at a large academic medical centre in the USA for postpartum individuals with HDP. The primary aim was to increase completed BP checks within 7 days of hospital discharge from 40% to 70% in people with HDP in 6 months. Secondary aims included improving rates of scheduled visits, completed visits within 3 days for severe HDP and unattended visits. The balancing measure was readmission rate. Statistical process control charts were used, and data were stratified by race and ethnicity. Direct feedback from birthing individuals was obtained through phone interviews with a focus on black birthing people after a racial disparity was noted in unattended visits. Statistically significant improvements were noted across all measures. Completed and scheduled visits within 7 days of discharge improved from 40% to 76% and 61% to 90%, respectively. Completed visits within 3 days for individuals with severe HDP improved from 9% to 49%. The unattended visit rate was 26% at baseline with non-Hispanic black individuals 2.3 times more likely to experience an unattended visit than non-Hispanic white counterparts. The unattended visit rate decreased to 15% overall with an elimination of disparity. A need for BP devices at discharge and enhanced education for black individuals was identified through patient feedback. Timely follow-up of postpartum individuals with HDP is challenging and requires modification to our care delivery. A hospital-level quality improvement initiative using birthing individual and frontline feedback is illustrated to improve equitable, person-centred care.
To inform physician assistant program directors through citation analysis after implementation of the Accreditation Review Commission on Education for the Physician Assistant (ARC-PA) Accreditation Standards, 5th edition. This research used descriptive statistics, Pearson correlation, and the coefficient of determination to analyze the citations reported by ARC-PA during January 2021 to February 2023. Concurrent first-time taker Physician Assistant National Certifying Exam (PANCE) results were used to determine whether a correlation exists between pass rates and citations. In addition, a survey was sent to each institution's current program director to investigate leadership concerns and differences between programs placed on a provisional, continued, or probation status by ARC-PA. Of the 98 program submissions for accreditation, 13 submissions resulted in a probation status outcome. For these 13 programs placed on probation, 46.2% and 30.8% were cited for being noncompliant with leadership Standards A2.09 and A1.02, respectively. Pearson correlation analysis indicates a significant negative correlation between ARC-PA citations and first-time taker PANCE pass rates ( P = .023, 95% confidence interval [CI] = [-0.49 to -0.04]). This is particularly true for programs with continued accreditation ( P = .007, 95% CI = [-0.67 to -0.13]) and programs that performed below the 85% benchmark ( P = .013, 95% CI = [-0.94 to -0.22]) for first-time taker PANCE pass rates. Although a negative correlation is observed between the number of levied citations and PANCE pass rates, the coefficient of determination does not indicate that the number of citations can predict PANCE pass rates ( R2 = 0.0368). Regarding survey data, 42.86% of programs placed on probation cited institutional support as their biggest program weakness or threat. Conversely, 22.22% of programs with provisional status and 12.5% of programs with continued status reported institutional support as their biggest weakness or threat. This research identifies leadership as a deficit of concern associated with programs placed on probation. In addition, a significant negative correlation exists between the number of citations and first-time taker PANCE pass rates-especially for programs with first-time taker PANCE pass rates below 85% or for programs with continued accreditation status.
To investigate cancer patients' understanding of graphical presentations of longitudinal EORTC QLQ-C30 scores. We conducted semi-structured interviews with brain tumour patients participating in routine patient-reported outcome (PRO) monitoring. We assessed understanding of longitudinal quality of life (QOL) profiles, presented as bar charts objectively and with self-ratings. In addition, patients' opinions on congruency of the QOL scores with their self-perceived health status were evaluated. We recruited 40 brain tumour patients (57.5% female; mean age 52.7, SD 13.7). In total, 90% of patients rated the graphs as easy to understand. Accordingly, almost all questions on assessing understanding objectively were answered correctly by at least 80% of the patients. More than 95% indicated that the displayed QOL scores matched their personal perception of symptom burden and functional health in the observed period. Patients are able to understand their QOL results when presented graphically and are able to interpret important changes. Displayed QOL scores obtained with the EORTC QLQ-C30 are consistent with the patients' personal perception of physical and emotional functioning, pain and fatigue. Knowledge about patients' understanding of graphically displayed QOL results contributes to creation of optimal evidence-based feedback on the patients' present QOL and its trajectory.
To investigate health literacy (HL) and digital health literacy (eHL) among patients hospitalised in surgical and medical wards using a cluster analysis approach. Cross-sectional study using Ward's hierarchical clustering method to measure cluster adequacy by evaluating distances between cluster centroids (a measure of cohesion). Different distances produced different cluster solutions. The study was conducted at a Norwegian university hospital. A total of 260 hospitalised patients were enrolled between 24 May and 6 June 2021. All data were collected by self-reported questionnaires. Data on HL and eHL were collected by the Health Literacy Questionnaire (HLQ) and the eHealth Literacy Questionnaire (eHLQ). We also collected data on background characteristics, health status and patient diagnosis. We found six HLQ clusters to be the best solution of the sample, identifying substantial diversity in HL strengths and challenges. Two clusters, representing 21% of the total sample, reported the lowest HLQ scores in eight of nine HLQ domains. Compared with the other clusters, these two contained the highest number of women, as well as the patients with the highest mean age, a low level of education and the lowest proportion of being employed. One of these clusters also represented patients with the lowest health status score. We identified six eHL clusters, two of which represented 31% of the total sample with the lowest eHLQ scores in five of seven eHLQ domains, with background characteristics comparable to patients in the low-scoring HLQ clusters. This study provides new, nuanced knowledge about HL and eHL profiles in different clusters of patients hospitalised in surgical and medical wards. With such data, healthcare professionals can take into account vulnerable patients' HL needs and tailor information and communication accordingly.
To investigate how children with cerebral palsy (CP) perform in the Danish school system and which factors are associated with school performance. This was a population-based cohort study including 463 126 children born from 1997 to 2003. Data were extracted from seven national registries. The study encompassed 818 children with CP (483 [59.0%] males, 335 [41.0%] females) and 417 731 without CP (214 535 [51.4%] males, 203 196 [48.6%] females). We evaluated two primary outcomes: not completing 10 years of elementary school, defined as attending fewer than eight final mandatory exams; and grade point averages (GPAs). Mann-Whitney U tests were used to analyse differences in GPAs and logistic regressions were used to calculate odds ratios (ORs). Among children with and without CP, 62.6% and 12.4% did not complete elementary school respectively (OR = 11.85 [10.28-13.66]). Additionally, children with CP who attended all final exams achieved lower overall GPAs than children without CP (6.6 vs 7.3, p = 0.001). In children with CP, comorbidities, maternal education, severity of motor impairments, and intellectual deficits were associated with increased odds of not completing elementary school. Notably, one-third of children with CP with apparent normal intelligence did not complete school, despite special educational measures. Danish children with CP rarely complete elementary school despite initiatives for a more supportive educational system. The complexity of individual needs in children with CP may be challenging for an inclusive school environment. Children with cerebral palsy (CP) have a high risk of not completing elementary school. Children with CP achieve lower overall grades than children without CP. Motor impairment, comorbidities, and maternal education are associated with poor school performance. Intellectual impairment is the most important predictor of poor school performance.
To investigate how individuals with diabetes and diabetes educators reason about data collected through self-monitoring and to draw implications for the design of data-driven self-management technologies. Ten individuals with diabetes (six type 1 and four type 2) and 2 experienced diabetes educators were presented with a set of self-monitoring data captured by an individual with type 2 diabetes. The set included digital images of meals and their textual descriptions, and blood glucose (BG) readings captured before and after these meals. The participants were asked to review a set of meals and associated BG readings, explain differences in postprandial BG levels for these meals, and predict postprandial BG levels for the same individual for a different set of meals. Researchers compared conclusions and predictions reached by the participants with those arrived at by quantitative analysis of the collected data. The participants used both macronutrient composition of meals, most notably the inclusion of carbohydrates, and names of dishes and ingredients to reason about changes in postprandial BG levels. Both individuals with diabetes and diabetes educators reported difficulties in generating predictions of postprandial BG; their predictions varied in their correlations with the actual captured readings from r = 0.008 to r = 0.75. Overall, the study showed that identifying trends in the data collected with self-monitoring is a complex process, and that conclusions reached by both individuals with diabetes and diabetes educators are not always reliable. This suggests the need for new ways to facilitate individuals' reasoning with informatics interventions.
To investigate if socioeconomic status impacts patient-reported outcomes after a surgically treated trigger finger (TF). Data on patients with TF treated with surgery were collected from the Swedish National Quality Registry of Hand Surgery (HAKIR) 2010-2019 with an evaluation of symptoms and disability before surgery and at 3 and 12 months after surgery, using the short version of the Disabilities of Arm, Shoulder and Hand (QuickDASH) questionnaire.Data from HAKIR and the Swedish National Diabetes Registry (ndr.nu) were combined with socioeconomic data from Statistics Sweden (scb.sc), analysing the impact of marital status, education level, income, occupation, sickness benefits, days of unemployment, social assistance and migrant status on the outcome by a linear regression model. In total, 5477 patients were operated on for primary TF during the study period, of whom 21% had diabetes, with a response rate of 35% preoperatively, 26% at 3 months and 25% at 12 months. At all time points, being born in Sweden (preoperatively B-coefficient: -9.74 (95% CI -13.38 to -6.11), 3 months postoperatively -9.80 (95% CI -13.82 to -5.78) and 12 months postoperatively -8.28 (95% CI -12.51 to -4.05); all p<0.001) and high earnings (preoperatively -7.81 (95% CI -11.50 to -4.12), 3 months postoperatively -9.35 (95% CI -13.30 to -5.40) and 12 months postoperatively -10.25 (95% CI -14.37 to -6.13); all p<0.0001) predicted lower QuickDASH scores (ie, fewer symptoms and disability) in the linear regression models. More sick leave during the surgery year predicted higher QuickDASH scores (preoperatively 5.77 (95% CI 3.28 to 8.25; p<0.001), 3 months postoperatively 4.40 (95% CI 1.59 to 7.22; p<0.001) and 12 months postoperatively 4.38 (95% CI 1.35 to 7.40; p=0.005)). No socioeconomic factors impacted the change in QuickDASH score from preoperative to 12 months postoperatively in the fully adjusted model. Individuals with low earnings, high sick leave the same year as the surgery and those born outside of Sweden reported more symptoms both before and after surgery, but the relative improvement was not affected by socioeconomic factors.