Yoxas/statistical_literacy huggingface dataset:
Community pharmacy practice has incurred significant changes in scope of responsibility and workplace environment, particularly during the COVID-19 pandemic. The trends may impact how student pharmacists perceive community pharmacy practice and their future career opportunities. To determine current perceptions that student pharmacists have toward community pharmacy practice. A 15-item electronic, cross-sectional questionnaire was distributed to approximately 2200 student pharmacists from March to April 2023. To be included, respondents needed to be a current adult pharmacy student. The questionnaire included items about career interests, perceptions towards 12 different aspects of community pharmacy practice, and demographics. Data were analyzed primarily using descriptive statistics. A priori stratifications included interest to pursue community pharmacy according to class year and according to level of work experience. A total of 146 responses were included (response rate 6.6%). A total of 101 (69.2%) respondents were women, 108 (74.0%) were white, and the mean age was 24 years. Respondents represented all 4 pharmacy professional years, and 113 (77.4%) respondents reported current or previous work experience in community pharmacy. Most respondents were not interested in pursuing community pharmacy directly after graduation 77 (52.7%), nor as a long-term career 87 (59.6%). Student pharmacists found the most appealing aspects of community pharmacy practice to be salary/benefits, job availability and security, interactions with coworkers in the pharmacy, interactions with other medical professionals, relationships and interactions with patients, and teaching responsibilities. Student pharmacists found the work hours and schedule, business management responsibilities, navigating insurance-related tasks, and the pace of the work environment to be unappealing. Student pharmacists report a low interest in pursuing community pharmacy practice. Minimizing deterrents and enhancing the appealing aspects of community pharmacy as perceived by student pharmacists may help improve recruitment and retainment, as well as improve perceptions of the practice.
Community reaction to refugees and asylum-seekers is often gauged by attitude surveys that are not designed to overcome built-in bias. Questionnaires that do not account for context and background consequently yield results that misrepresent community attitudes and offer predictably negative responses to immigrant groups. Such surveys can alter public perception, fuel anti-refugee sentiment, and affect policy simply because of how they are constructed. This model survey among humanitarian aid-workers from nine Greek non-governmental organizations uses specific techniques designed to overcome these challenges by applying sample familiarity, non-inflammatory hypothesis-testing, educational question stems, intentional ordering of questions, and direct questioning rather than surrogate measures like statistical approximation. Respondents working in the refugee crisis in Greece demonstrate how empathy, education, and exposure to refugees serve to overcome the harmful stereotypes of outsiders as contributors to crime, terror, and social burden.
Community service-learning (CSL) aims to promote civic engagement among students and deepen their understanding of social issues, connecting students to communities where they may practise as future health care providers. This study's aims were two-fold: first, to determine whether incorporating a non-dental community service-learning experience into a fourth-year behavioural science course can develop abilities related to the dental hygiene baccalaureate competencies; second, to examine the overall student learning experience. Seven community agencies presented projects to the dental hygiene class, and students individually selected their top 3 choices. Projects were diverse, ranging from literacy tutoring to creating a program plan or hosting a public virtual event with an interprofessional health panel discussing nutrition. Dental hygiene students participated in a 20-hour placement with one community project and completed individual reflection journals that focused on their experience. Using a document analysis approach, the authors examined the reflection journals through an iterative process to identify themes. Ten student reflections were analysed and three themes emerged: 1) increased social awareness; 2) application of dental hygiene core competencies; and 3) the challenges of the learning experience. Students consistently discussed how the project allowed them to apply 5 dental hygiene core competencies and how their learning experience aligned with their future professional role as a dental hygienist. Students articulated increased understanding of their individual privilege and awareness of social issues in their community. Participation in non-dental CSL increased dental hygiene students' social awareness of local communities. Students demonstrated an ability to apply their learning to their developing competencies as future dental hygienists.
Community-acquired pneumonia (CAP) is one of the leading infectious causes of mortality, and diabetes mellitus is a globally prevalent disease. Consequently, the cooccurrence of these two disorders can be common and create challenging medical conditions. Therefore, it was aimed to compare the various aspects of CAP in diabetic and nondiabetic patients, in order to have a comprehensive and comparative picture of the differences. In this cross-sectional study, CAP patients with and without diabetes were assessed for clinicoradiological signs, laboratory features, disease severity, and pneumonia outcomes. Analyzed herein were 172 CAP patients (77 had diabetes and 95 were nondiabetic). Clinical and radiological signs of pneumonia were mostly similar between the groups, except for purulent sputum, which was more prevalent among the nondiabetic patients. The laboratory results were also mostly similar. However, analysis of the outcomes and prognosis showed different results. The diabetic patients had a longer mean duration of hospital stay (8.52 days vs. 7.93 days, p = 0.015), higher median pneumonia severity based on the CURB-65 criteria (3 vs. 2, p = 0.016), and higher intensive care unit (ICU) admission requirement (22.1% vs. 7.3%, p = 0.004). Moreover, the mortality rate for the diabetic patients was nonsignificantly higher (16.8% vs. 15.7%, p = 0.453). Furthermore, the results of the logistic regression analysis showed that the diabetic patients had significantly higher odds of experiencing more severe forms of pneumonia (adjusted odds ratio (AOR): 5.77, 95% CI: 2.52-13.20), requiring ICU hospitalization (AOR: 3.56, 95% CI: 1.39-9.11), and having a longer hospital stay (AOR: 2.01, 95% CI: 1.09-3.71). In addition, although there was no significant relationship between the severity of pneumonia and the amount of glycated hemoglobin (HbA1c) in the diabetic patients (p = 0.940), the higher level of HbA1c in the nondiabetic patients was significantly correlated with a higher severity of pneumonia (p = 0.002). While diabetic patients with CAP have the same clinicoradiological and laboratory features as nondiabetic patients, the presence of diabetes can significantly worsen the outcomes and prognosis of pneumonia.
Community-acquired pneumonia (CAP) is the most frequent infection diagnosis in hospitals. Antimicrobial therapy for CAP is depicted in clinical practice guidelines, but adherence data and effect of antibiotic stewardship measures are lacking. A dedicated antibiotic team pointed out CAP as a potential target for antimicrobial stewardship (AMS) measures at a 1.000-bed, tertiary care, teaching university hospital in Norway from March until May for the years 2016 throughout 2021. The aim of the AMS program was to increase diagnostic and antimicrobial therapy adherence to national clinical practice guideline recommendations through multiple and continuous AMS efforts. Descriptive statistics were retrospectively used to delineate antimicrobial therapy for CAP. The primary outcomes were proportions that received narrow-spectrum beta-lactams, and broad-spectrum antimicrobial therapy. 1.112 CAP episodes were identified. The annual proportion that received narrow-spectrum beta-lactams increased from 56.1 to 74.4% (p = 0.045). Correspondingly, the annual proportion that received broad-spectrum antimicrobial therapy decreased from 34.1 to 17.1% (p = 0.002). Trends were affected by the coronavirus pandemic. Mortality and 30-day readmission rates remained unchanged. De-escalation strategies were frequently unutilized, and overall therapy duration exceeded clinical practice guideline recommendations substantially. Microbiologically confirmed CAP episodes increased from 33.7 to 56.2% during the study period. CAP is a suitable model condition that is sensitive to AMS measures. A continuous focus on improved microbiological diagnostics and antimicrobial therapy initiation is efficient in increasing adherence to guideline recommendations. There is an unmet need for better antimicrobial de-escalation strategies.
Comorbidities in alcohol dependence syndrome (ADS) are often associated with poor treatment outcomes and high service utilization. Deliberate self-harm (DSH) in India is a silent epidemic. There is a shortage of research on individuals with ADS, psychiatric comorbidities, and DSH. To study DSH and psychiatric comorbidity in persons with ADS. A cross-sectional study of 1-year duration is conducted in out patient department/indoor patient department of a tertiary care hospital. Eighty-one individuals with ADS were selected purposefully. A semi-structured pro forma, the severity of alcohol dependence questionnaire, Mini-International Neuropsychiatric Interview (MINI), and Deliberate Self-Harm Inventory were administered for assessment. The statistical analysis used is as follows: correlation statistics and logistic regression. Most subjects were married, belonged to upper-middle socioeconomic status, had at least secondary education, and had moderate alcohol dependence severity. Almost 3/4th of the subjects had at least one lifetime psychiatric disorder. A past episode of major depressive disorder was found in 47%. Nearly 20% of study subjects had a history of DSH, which was significantly associated with unmarried status, and earlier age of alcohol dependence. Marital status, educational level, and age of onset of alcohol dependence explain 64.3% of the variance in DSH attempts. Suicidality was significantly related to the presence of DSH. The study found a high prevalence of psychiatric disorders and a history of DSH in individuals with ADS. The study confirmed the association between DSH and suicidality and indicated a specific subpopulation of ADS who need thorough clinical assessments to recognize these psychiatric comorbidities and DSH.
Comparative research can help identify the similarities of and differences in different contexts, enabling us to recognize more possibilities and strategies of enhancing our understanding of different aspects of education. To review and analyse the current status of using comparative research designs in chemistry education research, a Boolean keyword search in Scopus and Web of Science has been performed to retrieve articles published from January 2016 to February 2023. In total 7682 entries have been retrieved, but less than 0.01 % of them have applied comparative research in addressing issues of chemistry education. Twelve of the retrieved articles have met the inclusion criteria for further analysis. Though comparative research has been found to be used by over 65 % of the analysed articles to study teaching and learning in chemistry education, its application in curriculum development and student development has been demonstrated by some analysed studies. In addition, 75 % of the analysed articles have declared being funded by local and/or national funding sources. This suggests that the importance of comparative research in chemistry education has been recognized at the national level in various countries. It is hoped that the opportunities brought about by comparative research designs as revealed in this article can enhance the varieties and possibilities in chemistry education research in the forthcoming future.
Comparative structural neuroanatomy is a cornerstone for understanding human brain structure and function. A parcellation framework that relates systematically to fundamental principles of histological organization is an essential step in generating structural comparisons between species. In the present investigation, we developed a comparative parcellation reasoning system (ComPaRe), which is a formal ontological system in human and non-human primate brains based on the cortical cytoarchitectonic mapping used for both species as detailed by Brodmann. ComPaRe provides a theoretical foundation for mapping neural systems in humans and other species using neuroimaging. Based on this approach, we revised the methodology of the original Harvard-Oxford Atlas (HOA) system of brain parcellation to produce a comparative framework for the human (hHOA) and the rhesus monkey (mHOA) brains, which we refer to as HOA2.0-ComPaRe. In addition, we used dedicated segmentation software in the publicly available 3D Slicer platform to parcellate an individual human and rhesus monkey brain. This method produces quantitative morphometric parcellations in the individual brains. Based on these parcellations we created a representative template and 3D brain atlas for the two species, each based on a single subject. Thus, HOA2.0-ComPaRe provides a theoretical foundation for mapping neural systems in humans and other species using neuroimaging, while also representing a significant revision of the original human and macaque monkey HOA parcellation schemas. The methodology and atlases presented here can be used in basic and clinical neuroimaging for morphometric (volumetric) analysis, further generation of atlases, as well as localization of function and structural lesions.
Comparative study. This study aims to compare Google and GPT-4 in terms of (1) question types, (2) response readability, (3) source quality, and (4) numerical response accuracy for the top 10 most frequently asked questions (FAQs) about anterior cervical discectomy and fusion (ACDF). "Anterior cervical discectomy and fusion" was searched on Google and GPT-4 on December 18, 2023. Top 10 FAQs were classified according to the Rothwell system. Source quality was evaluated using JAMA benchmark criteria and readability was assessed using Flesch Reading Ease and Flesch-Kincaid grade level. Differences in JAMA scores, Flesch-Kincaid grade level, Flesch Reading Ease, and word count between platforms were analyzed using Student's t-tests. Statistical significance was set at the .05 level. Frequently asked questions from Google were varied, while GPT-4 focused on technical details and indications/management. GPT-4 showed a higher Flesch-Kincaid grade level (12.96 vs 9.28, P = .003), lower Flesch Reading Ease score (37.07 vs 54.85, P = .005), and higher JAMA scores for source quality (3.333 vs 1.800, P = .016). Numerically, 6 out of 10 responses varied between platforms, with GPT-4 providing broader recovery timelines for ACDF. This study demonstrates GPT-4's ability to elevate patient education by providing high-quality, diverse information tailored to those with advanced literacy levels. As AI technology evolves, refining these tools for accuracy and user-friendliness remains crucial, catering to patients' varying literacy levels and information needs in spine surgery.
Compare performance between an injury prediction model categorising predictors and one that did not and compare a selection of predictors based on univariate significance versus assessing non-linear relationships. Validation and replication of a previously developed injury prediction model in a cohort of 1466 service members followed for 1 year after physical performance, medical history and sociodemographic variables were collected. The original model dichotomised 11 predictors. The second model (M2) kept predictors continuous but assumed linearity and the third model (M3) conducted non-linear transformations. The fourth model (M4) chose predictors the proper way (clinical reasoning and supporting evidence). Model performance was assessed with R2, calibration in the large, calibration slope and discrimination. Decision curve analyses were performed with risk thresholds from 0.25 to 0.50. 478 personnel sustained an injury. The original model demonstrated poorer R2 (original:0.07; M2:0.63; M3:0.64; M4:0.08), calibration in the large (original:-0.11 (95% CI -0.22 to 0.00); M2: -0.02 (95% CI -0.17 to 0.13); M3:0.03 (95% CI -0.13 to 0.19); M4: -0.13 (95% CI -0.25 to -0.01)), calibration slope (original:0.84 (95% CI 0.61 to 1.07); M2:0.97 (95% CI 0.86 to 1.08); M3:0.90 (95% CI 0.75 to 1.05); M4: 081 (95% CI 0.59 to 1.03) and discrimination (original:0.63 (95% CI 0.60 to 0.66); M2:0.90 (95% CI 0.88 to 0.92); M3:0.90 (95% CI 0.88 to 0.92); M4: 0.63 (95% CI 0.60 to 0.66)). At 0.25 injury risk, M2 and M3 demonstrated a 0.43 net benefit improvement. At 0.50 injury risk, M2 and M3 demonstrated a 0.33 net benefit improvement compared with the original model. Model performance was substantially worse in the models with dichotomised variables. This highlights the need to follow established recommendations when developing prediction models.
Compared to color images captured by conventional RGB cameras, monochrome (mono) images usually have higher signal-to-noise ratios (SNR) and richer textures due to the lack of color filter arrays in mono cameras. Therefore, using a mono-color stereo dual-camera system, we can integrate the lightness information of target monochrome images with the color information of guidance RGB images to accomplish image enhancement in a colorization manner. In this work, based on two assumptions, we introduce a novel probabilistic-concept guided colorization framework. First, adjacent contents with similar luminance are likely to have similar colors. By lightness matching, we can utilize colors of the matched pixels to estimate the target color value. Second, by matching multiple pixels from the guidance image, if more of these matched pixels have similar luminance values to the target one, we can estimate colors with more confidence. Based on the statistical distribution of multiple matching results, we retain the reliable color estimates as initial dense scribbles and then propagate them to the rest of the mono image. However, for a target pixel, the color information provided by its matching results is quite redundant. Hence, we introduce a patch sampling strategy to accelerate the colorization process. Based on the analysis of the posteriori probability distribution of the sampling results, we can use much fewer matches for color estimation and reliability assessment. To alleviate incorrect color propagation in the sparsely scribbled regions, we generate extra color seeds according to the existed scribbles to guide the propagation process. Experimental results show that, our algorithm can efficiently and effectively restore color images with higher SNR and richer details from the mono-color image pairs, and achieves good performance in solving the color bleeding problem.
Compared to hearing women, Deaf female sign language users receive sub-optimal maternal health care and report more dissatisfaction with their prenatal care experiences. As healthcare providers begin to regularly screen for perinatal depression, validated screening tools are not accessible to Deaf women due to severe disparities in English literacy and health literacy. We conducted a one-year, community-engaged pilot study to create an initial American Sign Language (ASL) translation of the Edinburgh Postnatal Depression Scale (EPDS); conduct videophone screening interviews with Deaf perinatal women from across the United States; and perform preliminary statistical analyses of the resulting pilot data. We enrolled 36 Deaf perinatal women between 5 weeks gestation up to one year postpartum. Results supported the internal consistency of the full ASL EPDS, but did not provide evidence of internal consistency for the anxiety or depression subscales when presented in our ASL format. Participants reported a mean total score of 5.6 out of 30 points on the ASL EPDS (SD = 4.2). Thirty-one percent of participants reported scores in the mild depression range, six percent in the moderate range, and none in the severe range. Limitations included small sample size, a restricted range of depression scores, non-normality of our distribution, and lack of a fully-standardized ASL EPDS administration due to our interview approach. Informed by study strengths, limitations, and lessons learned, future efforts will include a larger, more robust psychometric study to inform the development of a Computer-Assisted Self-Interviewing version of the ASL EPDS with automated scoring functions that hearing, non-signing medical providers can use to screen Deaf women for perinatal depression.
Compared to men, women with alcohol use disorder (AUD) are more likely to drink to manage stress and negative affect. Given women's risk for poor drinking outcomes, it is critical to develop and test interventions that target these affective factors. Physical activity improves negative affect and has emerged as a promising adjunct to AUD treatment and, thus, may be especially valuable for women. Fifty women with AUD (49.9 ± 12.0 years of age) participated in either a 12-week telephone-delivered lifestyle physical activity plus Fitbit (LPA + Fitbit) or a health education contact (HEC) control intervention following a partial hospital addictions treatment program. The study examined changes in drinking behaviors, mental health outcomes, and physical activity engagement post-intervention using both conventional test statistics and standard effect sizes. Higher rates of continuous abstinence during the 12-week period were observed in the LPA + Fitbit condition (55.6 %) than in the HEC condition (33.6 %); odds ratio = 2.97. However, among women who drank any alcohol during the 12-weeks, slightly higher rates of heavy drinking and drinks/day were observed among women in the LPA + Fitbit condition. Significant differences for improved mental health outcomes (including depression, anxiety, negative affect, positive affect, perceived stress, and behavioral activation) and increased self-reported physical activity were consistently observed among participants in the LPA + Fitbit condition, relative to HEC. The LPA + Fitbit program had a positive impact on alcohol abstinence, mental health, and physical activity in adult women receiving treatment for AUD. Future research should continue to investigate the optimal implementation strategies, duration, and intensity of LPA interventions in the context of a fully-powered RCT.