Yoxas/statistical_literacy huggingface dataset:
There is increased learner competition for a shrinking pool of procedural training opportunities and indications in pediatrics. This study aimed to describe pediatric residency program directors' (PDs) and chief residents' (CRs) perspectives about whether procedural requirements for pediatric residents should be reformed and individualized. This was a survey-based, mixed methods study of PDs and CRs affiliated with the Association of Pediatric Program Directors (APPD). We used descriptive statistics to analyze demographics and perspectives, logistic regressions to examine individual and program factors, and thematic analysis for qualitative data. Forty-seven percent (95/203) of PDs and 16% (64/392) of CRs responded, representing APPD membership across program setting, size, and region (average standard mean deviation 0.28). Ninety-one percent of PD respondents considered one or more of the current Accreditation Council for Graduate Medical Education (ACGME) required procedures nonessential; 74% favored individualizing procedural training. CR responses mirrored PD responses. Program size, setting, and access to procedural teams did not significantly associate with likelihood to favor individualization. The majority of PD and CR respondents believe that current ACGME procedures should be reformed and individualized to future career goals. This change could allow maximization of limited time in residency in this era of decreased opportunity.
There is increasing awareness in the health sciences of the potential of qualitative research to address questions that quantitative research cannot satisfactorily answer. While a growing number of studies in health sciences and health sciences education discuss the value of such research or describe the methodology and data collection processes, few detail how analysis was carried out. Reliability and validity of findings from qualitative research depend on the quality of data management, retrieval, and interpretation or identification of meaning. The robustness of data analysis is therefore an important factor in the rigor of qualitative research. This article uses a study of dental students' conceptual learning to illustrate strategies that ensure rigor in qualitative analysis. Factors that informed the decisions regarding analysis are discussed in detail. The use of both grounded theory and literature is discussed. The role that deductive and inductive reasoning played in the analysis is outlined. A brief section illustrates the kinds of conclusions that can be made about conceptual learning when qualitative data are rigorously analyzed. Finally, potential shortcomings in the study and alternatives or additional mechanisms for ensuring validity and reliability of analysis are discussed.
There is increasing awareness of the necessity and importance for physician leadership in health care. Despite this, formal leadership training is not widespread in medical education. We describe the structure, curriculum and development of a robust two-tiered leadership development programme within a community-based family medicine residency programme. Living, Leading & Medicine (LLM, tier 1) consists of nine 2.5-h discussion-based training sessions occurring thrice annually. The Advanced Leadership Track (ALT, tier 2) includes mentoring, additional readings, personal evaluations and leadership projects. We used post-session surveys and exit surveys for LLM and ALT, respectively. We utilised the modified Kirkpatrick framework for programme evaluation to present outcomes from the first 3 years for each tier. Over three quarters (40 out of 53) of residents participated in LLM sessions. The post-session survey response rate for LLM was 95% (124 out of 130 participants). Eighteen out of 33 residents (54.5%) completed the ALT. Of these, 72% (13 of 18) returned exit surveys. Residents found the programme valuable and relevant (Kirkpatrick level 1). Residents demonstrated improvements in leadership knowledge and skills (3.85 v. 3.11, p < 0.0001; Kirkpatrick level 2) compared with an internal, historic control group. We noted changes in resident behaviour and attitudes towards leadership (Kirkpatrick level 3). Finally, the completion of leadership projects demonstrates Kirkpatrick level 4 outcomes. We have created a longitudinal, two-tiered leadership development programme that has improved the leadership capabilities of our family medicine residents.
There is increasing emphasis on resident involvement in quality improvement (QI) efforts, yet resident engagement in QI has remained low for many reasons. Although QI methods are classically applied to clinical processes, there are many opportunities to incorporate QI principles into curricular design and implementation. Demonstrate the utility of QI methods when applied to curricular design and the implementation of a novel point-of-care ultrasound portfolio development and quality assurance program at a large internal medicine residency program. We applied foundational QI methods, including process mapping, plan-do-study-act (PDSA) cycles, time-trap identification, run-chart analysis, and qualitative interviews throughout the curricular design and implementation phases to rapidly identify areas for improvement and perform timely tests of change. Fifty-one interns participated in the curriculum, submitting 731 images in the first trimester. Process mapping and submission review revealed that 29% of images were saved to the incorrect digital archive. Resident-reviewer interpretation concordance was present in 80.7% of submissions. In 95.2% of completed quality assurance cards, the same information was provided in the commentary feedback and the evaluator's checklists, representing a time trap. Interventions included restricting access to image archives and removing redundant fields from quality assurance cards. The time to feedback fell from 69.5 to 6.5 days, demonstrating nonrandom variation via run-chart analysis. This pilot study demonstrates the successful application of QI methods to a novel point-of-care ultrasound curriculum. The systematic use of these methodologies in curricular design and implementation allows expeditious curricular improvement. Emphasizing the relevance of QI methods to subject matter beyond clinical processes may increase resident engagement in QI efforts.
There is increasing evidence of an association between early term birth and adverse neonatal outcomes. However, there is a paucity of data on the true neonatal outcomes following term deliveries in lower-income countries, including Nigeria. This study compared the neonatal outcomes of early and late-term deliveries in a tertiary hospital in Lagos, Nigeria. This was a five-year retrospective cohort study of all term deliveries between January 2013 and December 2017. Data were obtained from the labour ward and neonatal ward admission registers and medical records of the hospital. Descriptive and inferential statistics were computed for all relevant data. Statistical significance was reported at a p-value < 0.05. Of the 1,001 deliveries reviewed and analysed for this study, 215 recorded adverse neonatal events, with a significantly higher proportion of these occurring in early term compared to late-term delivered pregnancies (75.8% versus 24.2%, p < 0.001). There was a statistically higher rate of NICU admission in early term neonates than in late-term neonates (14.3 versus 3.9%, p < 0.001). Respiratory complications were the most common adverse outcomes experienced by neonates in both groups. However, the early term neonates had a higher risk even when adjusted for sex, birth weight, and mode of delivery. Our study highlights the substantial impact of gestational age on neonatal outcomes, with early term neonates at a significantly higher risk of adverse events compared to late-term neonates. Strategies aimed at reducing the rates of elective early term induction of labour and caesarean deliveries may help minimize the occurrence of adverse neonatal outcomes in our setting.
There is increasing interest in understanding potential bias in medical education. We used natural language processing (NLP) to evaluate potential bias in clinical clerkship evaluations. Data from medical evaluations and administrative databases for medical students enrolled in third-year clinical clerkship rotations across two academic years. We collected demographic information of students and faculty evaluators to determine gender/racial concordance (i.e., whether the student and faculty identified with the same demographic). We used a multinomial log-linear model for final clerkship grades, using predictors such as numerical evaluation scores, gender/racial concordance, and sentiment scores of narrative evaluations using the SentimentIntensityAnalyzer tool in Python. 2037 evaluations from 198 students were analyzed. Statistical significance was defined as P < 0.05. Sentiment scores for evaluations did not vary significantly by student gender, race, or ethnicity (P = 0.88, 0.64, and 0.06, respectively). Word choices were similar across faculty and student demographic groups. Modeling showed narrative evaluation sentiment scores were not predictive of an honors grade (odds ratio [OR] 1.23, P = 0.58). Numerical evaluation average (OR 1.45, P < 0.001) and gender concordance between faculty and student (OR 1.32, P = 0.049) were significant predictors of receiving honors. The lack of disparities in narrative text in our study contrasts with prior findings from other institutions. Ongoing efforts include comparative analyses with other institutions to understand what institutional factors may contribute to bias. NLP enables a systematic approach for investigating bias. The insights gained from the lack of association between word choices, sentiment scores, and final grades show potential opportunities to improve feedback processes for students.
There is increasing interest in understanding the nature and impact of emotional intelligence (EI) in educational institutions and the workplace since EI is associated with academic performance, career success, job satisfaction, and management skills. Here we measured EI levels in students and employees at Qatar University and examined associations with sociodemographic variables. This cross-sectional study used the Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF) questionnaire to quantify EI. Of 517 respondents, 315 were students and 202 were employees. The mean global EI level across all participants was 4.80 ± 0.78, with EI highest in the well-being domain (5.43 ± 1.04). Overall, older respondents had higher EI than younger respondents. There was no significant effect of gender, marital status, or employment position on EI. However, there were significant two- and three-way interactions. As a standalone variable, age was the most important factor influencing EI development in our cohort. However, three-way interactions revealed complex effects between age, gender, and marital status and EI. Our findings support a need for workshops on EI for employees and integrating dedicated courses into existing curricula to equip students with effective interpersonal relationship skills that foster EI development. Developing such interpersonal skills could help to promote personal, professional, and academic success.
There is increasing recognition of the value and capabilities of design in healthcare. Beyond the development of medical devices, design is increasingly being applied to intangible, complex and systemic healthcare problems. However, there is limited evidence on the use of design specifically in the field of oral health. This systematic mapping study aims to collate and catalogue evidence of design in oral health. A systematic search of academic databases and grey literature was performed. Duplicate results were removed, and publications relating to the same project were grouped. Reviewers from design and oral health independently screened a sample of the dataset. Projects of both relevance to oral health, and with input from a designer or clear implementation of a design methodology or approach were included. Projects were coded and plotted on a novel interactive evidence map. 119 design and oral health projects were included between 1973 and 2022. Interventional (n = 94, 79%), empirical (n = 46, 39%), methodological (n = 35, 29%) and theoretical (n = 7, 6%) design contributions were identified across the projects. The projects were categorized by four orders of design: first-graphics (n = 6, 5%), second-products (n = 41, 34%), third-interactions (n = 70, 59%), and fourth-systems (n = 2, 2%). Design was found in a diverse range of contexts in oral health; most commonly being relevant to general patients (n = 61, 51%), and for use in general dental practice (n = 56, 47%). Further design outcome categories (digital material; printed material; object; room or space; apparel; process; smart device; tangible interface; graphical interface; virtual reality; service; policy; system) and oral health themes (oral health literacy; oral care training; dental clinic design; dental instruments and equipment; personal oral care; dental appliance; clinician health and productivity; clinical information systems; informed consent; oral health promotion and prevention; oral care training; patient interactions and experience) were identified. The novel interactive evidence map of design in oral health created enables ongoing and open-ended multivariant documentation and analysis of the evidence, as well as identification of strategic opportunities. Future research and policy implications include; recognition and engagement with the full capabilities of design; integration of design experts; fostering inclusive engagement and collaboration; disentangling patient and public involvement; advancing human-centred systems approaches; adopting design-led approaches for policy-making.
There is interest in admission criteria that predict future success in biomedical graduate school programs, but identifying predictors of PhD attainment is inherently complex. In particular, high noncompletion rates of PhD programs have long been recognized as a major crisis. Here, we present a quantitative analysis of the PhD students enrolled in the Department of Biochemistry and Biophysics at Texas A&M University between 1980 and 2010. The input variables included sex, country of citizenship, undergraduate grade point average (GPA), and Graduate Record Examination (GRE) scores (Verbal and Quantitative Reasoning). Only GPA was a significant predictor of PhD completion based on logistic regression. We also examined associations involving nonbinary measures of success (PhD duration, first author, and total number of publications) among students who completed a PhD. GPA was again associated with the PhD duration. No enrollment variable was strongly associated with publication output. Despite potential limitations, this analysis is the first to suggest an undergraduate GPA association with PhD completion in life sciences. These results from a large state university in a predominantly rural area expand the range of programs from which such analyses have been reported.
There is limited data on current knowledge of Pennsylvania horse caretakers on tick-borne diseases (TBDs), tick identification, and tick management practices. This study aimed to determine tick knowledge, concern, and management among Pennsylvania equine caretakers using an online survey. Descriptive statistics and one-way ANOVA tests were used to analyze data. The survey received 894 responses (539 completed) from Pennsylvania equine owners and caretakers. The largest proportion of respondents cared for 3-5 horses (31%), followed by 2 horses (27%). Veterinarian-confirmed diagnosis rates of two TBDs, Lyme disease and anaplasmosis, were 38% and 22%, respectively. Most respondents (39%) were moderately confident in recognizing Lyme disease, while most (44%) were not confident at all in recognizing anaplasmosis. Most respondents (69%) were either extremely or very concerned about their horses contracting any TBDs. Tick bite and TBD prevention methods used by equine caretakers included performing tick checks, using on-animal repellents, and conducting pasture/landscape management. Ten knowledge-based questions were asked, and the mean correct score was 3.97 ± 2.18 out of 10 possible points. There were significant positive associations between higher knowledge scores and previous veterinarian-confirmed equine Lyme disease diagnosis, higher concern level of TBDs, and higher frequency of tick checks. With increased equine TBD prevalence and high levels of horse owner concern about TBD, Extension educators should focus on teaching about TBDs and managing ticks on horses and farms.
There is limited data on the effect of socioeconomic status (SES) on transcatheter (TAVR) and surgical aortic valve replacement (SAVR) outcomes for aortic stenosis (AS). This study conducted a population-based analysis to assess the influence of SES on valve replacement outcomes. Patients with AS undergoing TAVR or SAVR were identified in National Inpatient Sample from Q4 2015-2020. Multivariable logistic regressions were used to compare in-hospital outcomes between patients living in neighborhoods of income at the lowest and highest quartiles. Of 613,785 AS patients, 9.77% underwent TAVR and 10.13% had SAVR. These rates decline with lower neighborhood income levels, with TAVR/SAVR ratio also declining in lower-income areas. Excluding concomitant procedures, 58,064 patients received isolated TAVR (12,355 low-income and 15,212 high-income) and 43,694 underwent isolated SAVR (10,029 low-income and 10,811 high-income). Low-income patients, in both TAVR and SAVR, were younger but had more comorbid burden. For isolated TAVR, outcomes were similar across income groups. However, for isolated SAVR, low-income patients experienced higher in-hospital mortality (aOR = 1.44, p < 0.01), pulmonary (aOR = 1.13, p = 0.01), and renal complications (aOR = 1.14, p < 0.01). They also had more transfers, longer waits for operations, and extended hospital stays. Lower-income communities had reduced access to TAVR and SAVR, with TAVR accessibility being particularly limited. When given access to TAVR, patients from lower-income neighborhoods had mostly comparable outcomes. However, patients from low-income communities faced worse outcomes in SAVR, possibly due to delays in treatment. Ensuring equitable specialized healthcare resources including expanding TAVR access in economically disadvantaged communities is crucial.
There is limited evidence on how the classification of maternal metabolic syndrome during pregnancy affects children's developmental outcomes and the possible mediators of this association. This study uses a cohort sample of 12,644 to 13,832 mother-child pairs from the UK Born in Bradford Study to examine the associations between maternal metabolic syndrome classification (MetS) and child development outcomes at age 5, using cord blood markers as candidate mediators. Maternal cardiometabolic markers included diabetes, obesity, triglycerides, high-density lipoprotein cholesterol, blood pressure, hypertension, and fasting glucose during pregnancy. Cord blood markers of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, leptin, and adiponectin were used as child mediators. Child outcomes included two starting school variables: British Picture Vocabulary Scale (BPVS) and the Letter Identification Assessment (LID), and five developmental milestone domains from a national UK framework: (1) communication and language (COM); (2) personal, social, and emotional (PSE); (3) physical development (PHY); (4) literacy (LIT); and (5) mathematics (MAT). Mediation models were used to examine the associations between the classification of maternal metabolic syndrome and child developmental milestones. Models were adjusted for potential maternal, socioeconomic, and child confounders such as maternal education, deprivation, and gestational age. In mediation models, significant total effects were found for MetS associations with children's development in the LIT domain at age 5. MetS predicted individual cord blood mediators of lower HDL and increased leptin levels in both adjusted and unadjusted models. Total indirect effects (effects of all mediators combined) for MetS on a child's COM and PSE domain were significant, through all child cord blood mediators of LDL, HDL, triglycerides, adiponectin, and leptin for adjusted models. The results support the hypothesis that maternal metabolic syndrome classification during pregnancy is associated with some child developmental outcomes at age 5. After adjusting for maternal, child, and environmental covariates, maternal metabolic syndrome classification during pregnancy was associated with children's LIT domain through direct effects of maternal metabolic health and indirect effects of cord blood markers (total effects), and COM and PSE domains via changes only in a child's cord blood markers (total indirect effects).
There is limited evidence surrounding oral health in emerging adult, sexual minority men of color. This study examined the association between sociodemographic factors, health literacy, cigarette, e-cigarette, and alcohol use on oral health outcomes. Secondary data analysis was conducted with 322 sexual minority men ages 18-34 in the United States. Between-group, mean-level, and multivariable logistic regression analyses examined differences on oral health outcomes. Increased cigarette (aOR = 1.84, p = 0.03), e-cigarette (aOR = 1.40, p = 0.03), and alcohol use (aOR = 2.07, p = 0.05) were associated with extended time away from the dentist. Health literacy (aOR = 0.93, p = 0.05) was negatively associated. Increased cigarette (aOR = 1.17, p = 0.04) and cigarette use (aOR = 1.26, p = 0.04) were associated with tooth loss. Health literacy was negatively associated (aOR = 0.65, p = 0.03). Increased e-cigarette (aOR = 1.74, p = 0.04) and cigarette use (aOR = 4.37, p < 0.001) were associated with dental affordability issues. Lower health literacy and racial identification as Black were associated with dental affordability issues; demonstrating an urgent need to address these factors to improve oral health in emerging adult sexual minority men of color.
There is limited information on interpretation of cognitive changes over time in multiple sclerosis (MS). This study aimed to provide normative data for the assessment of statistically meaningful change in all tests of the Minimal Assessment of Cognitive Function in MS (MACFIMS). We applied the reliable change methodology to a healthy Italian cohort, assessed with two alternate versions of the MACFIMS 1 year apart. We calculated confidence intervals of retest score variance using the reliable change index (RCI). Moreover, multivariable linear regression models adjusted for age, sex, education, and baseline score were built to calculate the regression-based change index (RB-CI). Overall, 200 healthy individuals were enrolled. Thresholds for interpreting change in each test were calculated. In the multivariable models, baseline score was associated with retest score in all tests (B from 0.439 to 0.760; p < 0.001). RB-CI can be calculated with data of the multivariable models. We provide normative data for reliable cognitive change evaluation for all the tests of the MACFIMS, which includes the Symbol Digit Modalities Test and Brief International Cognitive Assessment in MS, two widely used tools for screening and monitoring cognition in MS. Our findings can significantly improve the interpretation of cognitive changes in MS.