Yoxas/statistical_literacy huggingface dataset:
We submitted research questions to the Council of Academic Family Medicine Educational Research Alliance (CERA) to assess the format of family medicine resident education about health disparities associated with incarceration and the perceived efficacy of efforts to prepare graduates for competent care of formerly incarcerated patients in practice. We think this is a universal problem, and current efforts are insufficient. We evaluated data as part of the fall 2022 CERA survey of program directors (PDs). We reviewed descriptive statistics, generated comparative analysis, and reported relational analysis. We analyzed internal structure with principal component analysis and inter-item reliability. A total of 286 out of 678 (42%) eligible PDs completed the survey. Most respondents felt that educating residents about health disparities associated with incarceration was important and that residents would welcome that education. However, PDs lacked existing curricula. PDs did not think that medical school graduates were well-prepared in this area, and ambivalence existed about whether residency graduates were well-prepared to treat formerly incarcerated patients upon graduation. Comparative analysis revealed differences in responses based on the type of program, the program and community size, and the PD demographics. PDs acknowledged the importance of training residents about health disparities associated with incarceration and about care for formerly incarcerated patients in practice. However, they identified a gap between what was currently offered and what is needed to impact perception of resident readiness upon graduation. This training was felt to be most important in university-based programs with 31+ residents in US communities of greater than 150,000 people. We found no difference based on geographic location.
We tested if baseline disruptive child behavior problem severity predicts parental attendance at sessions of a parenting group program. We used a database of randomized trials of the Incredible Years parenting program in Europe and restricted the sample to participants randomized to the intervention arm. Using baseline Eyberg Child Behavior Inventory scores, we distinguished between trial-level problem severity and child-level problem severity, compared linear and quadratic functional forms at both levels, and considered cross-level interactions, all in a multilevel Poisson regression framework. Drawing on 918 participants in 12 trials, we found that within trials, parents of children with the least and most severe problems attended fewer sessions. Between trials, each additional 10-point increase in the Eyberg Child Behavior Inventory trial mean predicted an 11% increase in attendance. Models including child sex, age, or family low-income did not change coefficients or their interpretation. Our findings suggest that although generally attendance is higher in parents of children with more challenging behavior, it seems difficult for group programs to keep families with the least or most severe problems engaged. Our findings call for the need to better understand the conditions under which lower attendance translates into equivalent or lesser program benefits. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
We tested if cognitive and brain reserve and maintenance explain individual differences in episodic memory and other cognitive domains from late middle to early older adulthood. We used The Vietnam Era Twin Study of Aging data (n=1604 men) with episodic memory measured at mean ages of 56, 62 and 68 years, and magnetic resonance imaging data for a subsample of participants (n=321). Cognitive reserve -young adult general cognitive ability at a mean age of 20 years and, to a lesser degree, educational attainment- was positively related to episodic memory performance at each assessment, but not to memory change. We found no evidence for the associations of brain reserve or brain maintenance on memory change. Results were highly similar when looking at processing speed, executive function and verbal fluency. In conclusion, higher young adult cognitive reserve was related to better episodic memory in midlife and older adulthood, but it did not confer better cognitive maintenance with respect to memory. This supports the importance of early cognitive development in dementia prevention.
We used National Birth Defects Prevention Study data to investigate associations between working patterns shortly before and during pregnancy and gestational diabetes and pregnancy-related hypertension. We analyzed working patterns (multiple-job holders, job changers, single-job holders) during the three months before and during pregnancy for 8140 participants who delivered a live-born child without a birth defect. "Multiple-job holders" worked more than one job simultaneously, "job changers" worked more than one job with no overlap, and "single-job holders" (referent) worked one job. We used multivariable logistic regression to estimate associations between working pattern and each outcome, adjusting for maternal age and educational attainment at delivery. We explored effect measure modification by household income, peak weekly working hours, and maternal race/ethnicity. Multiple-job holders had higher odds of gestational diabetes (adjusted odds ratio [aOR]: 1.5; 95% confidence interval [CI]: 1.1-2.1) and pregnancy-related hypertension (aOR: 1.5; 95% CI: 1.0-2.2) compared with single-job holders. Multiple-job holders with a household income of more than 30,000 USD per year, 32-44 peak weekly working hours, and from racial/ethnic minority groups had higher odds of gestational diabetes compared with single-job holders in respective categories. Detailed occupational information is important for studies of occupation and maternal health.
We used student fixed effects and statistical controls to investigate whether U.S. elementary students (N = 18,170) displayed greater academic achievement, social-emotional behavior, or executive functioning and were more likely to receive gifted or special education services when taught by teachers of the same race or ethnicity. We observed mostly null effects for student-teacher racial or ethnic matching across the study's 12 dependent measures in analyses adjusting for Type 1 error. For the full sample, matching resulted in lower science achievement (effect size [ES] = -.03 SD). For Black students, matching resulted in fewer internalizing problem behaviors (ES = 0.18 SD). We observed null effects for Hispanic students. Robustness checks including those stratified by race or ethnicity and biological sex or by prior levels of low or high level of achievement, behavior, or executive functioning largely supported the study's null findings. Exceptions were that matching resulted in fewer externalizing problem behaviors (ES = 0.22 SD) for Black girls and lower academic achievement (ES range = -0.04 to -0.14 SD) and fewer externalizing and internalizing problem behaviors (ES range = 0.24 to 0.33 SD) for students who had previously displayed low levels of academic, behavioral, or executive functioning. Collectively, the analyses provide limited support for student-teacher racial or ethnic matching as a school-based policy to address educational disparities in U.S. elementary schools.
We will launch a national survey in Serbia to document the prevalence of two types of questionable health behaviours: (1) intentional non-adherence to medical recommendations and (2) use of traditional, complementary and alternative medicine practices, as well as the relation between the two. We will also investigate their psychological roots, including (a) 'distal' predictors such as HEXACO personality traits (plus Disintegration) and thinking dispositions (rational/experiential thinking and cognitive reflexivity), and (b) 'proximal' predictors under the umbrella 'irrational mindset' (set of unfounded beliefs consisting of conspiratorial thinking, superstition, magical health beliefs as well as selected cognitive biases), which have more content-wise overlap with the health behaviours. In this cross-sectional study, a research agency will collect data from a nationally representative sample (n=1043; age 18-75 years; estimated start/end-June/November 2021) recruited online (approximately, 70% of the sample, aged 18-54; 11 years) and face-to-face (approximately, 30% of the sample, aged 55-75 years). Participants will complete a battery of tests assessing questionable health behaviours, basic personality traits, thinking dispositions, irrational mindset, sociopolitical beliefs, sociodemographic and health-related variables. Prevalence rates will be calculated using descriptive statistics. To explore the relation between (psychological) predictors and questionable health behaviours, we will use hierarchical regression and partial mediation models (path analysis or full SEM models). Ethical Committees of the Faculty of Philosophy in Belgrade (#935/1), Faculty of Special Education and Rehabilitation (#139/1) and Faculty of Media and Communications (#228) approved the protocol. Only participants who provide informed consent will participate in the study. A research report based on the study results will be submitted to peer-reviewed journals and results will be made available to stakeholders through reports on the project website https://reasonforhealth.f.bg.ac.rs/en/ and disseminated via social media. NCT05808660.
Wearable wireless sensors for continuous vital signs monitoring (CVSM) offer the potential for early identification of patient deterioration, especially in low-intensity care settings like general wards. This study aims to review advances in wearable CVSM - with a focus on the general ward - highlighting the technological characteristics of CVSM systems, user perspectives and impact on patient outcomes by exploring recent evidence. The accuracy of wearable sensors measuring vital signs exhibits variability, especially notable in ambulatory patients within hospital settings, and standard validation protocols are lacking. Usability of CMVS systems is critical for nurses and patients, highlighting the need for easy-to-use wearable sensors, and expansion of the number of measured vital signs. Current software systems lack integration with hospital IT infrastructures and workflow automation. Imperative enhancements involve nurse-friendly, less intrusive alarm strategies, and advanced decision support systems. Despite observed reductions in ICU admissions and Rapid Response Team calls, the impact on patient outcomes lacks robust statistical significance. Widespread implementation of CVSM systems on the general ward and potentially outside the hospital seems inevitable. Despite the theoretical benefits of CVSM systems in improving clinical outcomes, and supporting nursing care by optimizing clinical workflow efficiency, the demonstrated effects in clinical practice are mixed. This review highlights the existing challenges related to data quality, usability, implementation, integration, interpretation, and user perspectives, as well as the need for robust evidence to support their impact on patient outcomes, workflow and cost-effectiveness.
Web-based modified Delphi study. Therapy is widely considered the first choice of treatment for posttraumatic stiffness of the elbow since loss of motion is a common sequela following traumatic elbow injuries. There is high variability in practice patterns for the management of the posttraumtic elbow. The aim of this study is to identify the current therapeutic management of posttraumatic elbow stiffness using expert consensus. This study surveyed experts using a web-based 3 round modified Delphi method. Quantitative data and comments were collected during the first round. Questions with Likert scaling were used to identify consensus (defined as 75% agreement) with each statement and comment boxes enabled open-ended responses to gather expert opinion. Lack of consensus and data from comments guided the second-round of the survey. This process was repeated after Round 2 to develop the Round 3 survey. Consensus was achieved at Round 3 and no further rounds were needed. Round 1 included 34 experts (response rate 20%), not all experts were able to continue through all rounds. Round 2 included 18 experts and Round 3 included 15 experts. Survey items were categorized as follows: examination procedures, therapeutic interventions, orthotic intervention considerations, contributing patient factors, and clinical decisions and rehabilitation challenges. Twenty-five percent of items achieved consensus after Round 1, 30% after Round 2 and 52% after Round 3. Although most participants agreed that orthotic intervention is critical to patient outcomes, there were conflicting thoughts about the orthotic design and wearing schedule. The findings of this web-based modified Delphi study helped to establish a current body of knowledge using expert consensus to guide practice and identify specific questions that can be studied in future clinical studies on posttraumatic elbow stiffness.
Web-based platforms for delivering physical activity (PA) to people with developmental disabilities have a great potential to improve the lives of many. However, their design, including the content design, lacks sufficient investigation. This study aims to evaluate three online platforms for delivering PA to people with developmental disabilities in terms of content quality and identify relevant barriers and facilitators of PA delivery. The study used a methodological triangulation approach which involved quantitative evaluations by experts using an evaluation rubric, on-site observations and in-depth interviews with recruited participants. The participants consisted of 15 pairs of individuals, each consisting of a person with developmental disabilities and their primary caregiver. They were instructed to watch and follow five PA video content from each of the three platforms. The on-site observations and interviews were conducted in a large computer-equipped meeting room setting. The quantitative and qualitative analysis identified a set of barriers and facilitators of PA delivery related to content quality. Key barriers identified include a lack of content diversity, insufficient understanding of developmental disabilities among content creators, inappropriate language usage, and resistance to engaging in physical activities in home settings. Significant facilitators were pinpointed, such as incorporating engaging elements for individuals with developmental disabilities, utilising easy-read language, and ensuring sufficient repetition for effective learning. The results from the triangulation showed that the multiple methods were complementary and converged on the same outcome. The study findings could contribute to the development of adequately adapted PA content to distribute knowledge to populations with developmental disabilities.
Weighing complex sets of evidence (i.e., from multiple disciplines and often divergent in implications) is increasingly central to properly informed decision-making. Determining "where the weight of evidence lies" is essential both for making maximal use of available evidence and figuring out what to make of such evidence. Weighing evidence in this sense requires an approach that can handle a wide range of evidential sources (completeness), that can combine the evidence with rigor, and that can do so in a way other experts can assess and critique (transparency). But the democratic context in need of weight-of-evidence analysis also places additional constraints on the process, including communicability of the process to the general public, the need for an approach that can be used across a broad range of contexts (scope), and timeliness of process (practicality). I will compare qualitative and quantitative approaches with respect to both traditional epistemic criteria and criteria that arise from the democratic context, and argue that a qualitative explanatory approach can best meet the criteria and elucidate how to utilize the other approaches. This should not be surprising, as the approach I argue for is the one that most closely tracks general scientific reasoning.
Welfare technological solutions such as social robots attempt to meet the growing needs of the healthcare sector. Social robots may be able to respond to the shortage of pharmaceutical personnel at community pharmacies. However, there is a lack of previous studies regarding the use of social robots for medication counselling purposes in a pharmacy setting. The objective of this qualitative study was to explore pharmacists' views on the potential role of social robots in medication counselling. Pharmacists, purposively sampled based on having recent experience of counselling customers in community pharmacies in Finland, first acted as customers interacting with the social robot in a simulated setting, before taking part in a focus group where their perspectives were explored. The focus group discussions were conducted in October and November 2022. The qualitative data was transcribed and analysed using reflexive thematic analysis. The number of participants was eight in total. A main theme of how the robot may either help or harm concerning medication safety within a pharmacy setting was identified. The six sub-themes found, according to pharmacists' views on robot counselling in community pharmacies, are context, digital competence, customer integrity, interaction, pharmacists' professional role and human skills. According to the study findings, pharmacists experience that the social robot can offer a potential complement to a human pharmacist. The robot is seen as beneficial with respect to certain customer groups and in the light of personnel shortages, and may in the future add to trust, equality, freedom of choice and multilingualism, among other things, in the customer service situation at community pharmacies, thus improving medication safety.
Well-designed simulation-based learning (SBL) experiences enhance students' self-confidence, self-efficacy, clinical judgment, and psychomotor skill development. An emerging concept in SBL research is psychological safety. There is currently no research on factors influencing psychological safety specifically related to the SBL environment, nor is there any literature found to determine whether intrinsic student characteristic, such as self-compassion and resilience, contributes to SBL learning outcomes. The aim of this study is to determine whether there is a relationship between nursing students' intrinsic characteristics (self-compassion, resilience, and anxiety sensitivity) and their psychological safety. Bivariate correlation was used to examine associations among sociodemographic variables and outcome variables. Multiple regression was used to determine the predictive nature of the sociodemographic variables. Assumptions for variables in multiple regression models were tested (normal distribution, heteroscedasticity, multicollinearity). All data were analyzed in SPSS, Version 28. The P value of significance was set at 0.05 for all analyses. Most of the 118 participants were non-Hispanic (89%), White (65%), and females (95%). Results of the demographic bivariate analysis revealed no significant differences among this diverse group or semester in the curriculum for psychological safety. The multiple regression found self-compassion (β = 29, P = 0.004), anxiety sensitivity (β = -0.16, P = 0.049), and resilience (β = 0.26, P = 0.004) predict psychological safety. The importance of creating a psychologically safe learning environment has been recognized as essential to best practices. Our findings suggest that an understanding of student characteristics that impact their perception of psychological safety will allow educators to develop strategies to better support learners in the simulation environment.
West Nile virus (WNV), a global arbovirus, is the most prevalent mosquito-transmitted infection in the United States. Forecasts of WNV risk during the upcoming transmission season could provide the basis for targeted mosquito control and disease prevention efforts. We developed the Arbovirus Mapping and Prediction (ArboMAP) WNV forecasting system and used it in South Dakota from 2016 to 2019. This study reports a post hoc forecast validation and model comparison. Our objective was to validate historical predictions of WNV cases with independent data that were not used for model calibration. We tested the hypothesis that predictive models based on mosquito surveillance data combined with meteorological variables were more accurate than models based on mosquito or meteorological data alone. The ArboMAP system incorporated models that predicted the weekly probability of observing one or more human WNV cases in each county. We compared alternative models with different predictors including a) a baseline model based only on historical WNV cases, b) mosquito models based on seasonal patterns of infection rates, c) environmental models based on lagged meteorological variables, including temperature and vapor pressure deficit, d) combined models with mosquito infection rates and lagged meteorological variables, and e) ensembles of two or more combined models. During the WNV season, models were calibrated using data from previous years and weekly predictions were made using data from the current year. Forecasts were compared with observed cases to calculate the area under the receiver operating characteristic curve (AUC) and other metrics of spatial and temporal prediction error. Mosquito and environmental models outperformed the baseline model that included county-level averages and seasonal trends of WNV cases. Combined models were more accurate than models based only on meteorological or mosquito infection variables. The most accurate model was a simple ensemble mean of the two best combined models. Forecast accuracy increased rapidly from early June through early July and was stable thereafter, with a maximum AUC of 0.85. The model predictions captured the seasonal pattern of WNV as well as year-to-year variation in case numbers and the geographic pattern of cases. The predictions reached maximum accuracy early enough in the WNV season to allow public health responses before the peak of human cases in August. This early warning is necessary because other indicators of WNV risk, including early reports of human cases and mosquito abundance, are poor predictors of case numbers later in the season. https://doi.org/10.1289/EHP10287.
What are the mental operations involved in game theoretic decision making? How do players deliberate (intelligently, but perhaps imperfectly) about strategic interdependencies and ultimately decide on a strategy? We address these questions using an evidence accumulation model, with bidirectional connections between preferences for the strategies available to the decision maker and beliefs regarding the opponent's choices. Our dual accumulator model accounts for a variety of behavioral patterns, including limited iterated reasoning, payoff sensitivity, consideration of risk-reward tradeoffs, and salient label effects, and it provides a good quantitative fit to existing behavioral data. In a comparison with other popular behavioral game theoretic models fit at the individual subject level to choices across a set of games, the dual accumulator model makes the most accurate out-of-sample predictions. Additionally, as a cognitive-process model, it can also be used to make predictions about response time patterns, time pressure effects, and attention during deliberation. Stochastic sampling and dynamic accumulation, cognitive mechanisms foundational to decision making, play a critical role in explaining well-known behavioral patterns as well as in generating novel predictions. (PsycInfo Database Record (c) 2020 APA, all rights reserved).