The influence of candidates' race on examiners' ratings in standardised assessments of clinical practice.

PURPOSE: Delivering fair and reliable summative assessments in medical education assumes examiner decision making is devoid of bias. We investigated whether candidate racial appearances influenced examiner ratings in undergraduate clinical exams. METHODS: We used an internet-based design. Examiners watched a randomised set of six videos of three different white candidates and three different non-white (Asian, black and Chinese) candidates taking a clinical history at either fail, borderline or pass grades. We compared the median and interquartile range (IQR) of the paired difference between scores for the white and non-white candidates at each performance grade and tested for statistical significance. RESULTS: 160 Examiners participated. At the fail grade, the black and Chinese candidates scored lower than the white candidate, with median paired differences of -2.5 and -1 respectively (both p < 0.001). At the borderline grade, the black and Chinese candidates scored higher than the white candidate, with median paired differences of +2 and +3, respectively (both p < 0.001). At the passing grade, the Asian candidate scored lower than the white candidate (median paired difference -1, p < 0.001). CONCLUSION: The racial appearance of candidates appeared to influence the scores awarded by examiners, but not in a uniform manner.

Is the assumption of equal distances between global assessment categories used in borderline regression valid?

BACKGROUND: Standard setting for clinical examinations typically uses the borderline regression method to set the pass mark. An assumption made in using this method is that there are equal intervals between global ratings (GR) (e.g. Fail, Borderline Pass, Clear Pass, Good and Excellent). However, this assumption has never been tested in the medical literature to the best of our knowledge. We examine if the assumption of equal intervals between GR is met, and the potential implications for student outcomes. METHODS: Clinical finals examiners were recruited across two institutions to place the typical 'Borderline Pass', 'Clear Pass' and 'Good' candidate on a continuous slider scale between a typical 'Fail' candidate at point 0 and a typical 'Excellent' candidate at point 1. Results were analysed using one-sample t-testing of each interval to an equal interval size of 0.25. Secondary data analysis was performed on summative assessment scores for 94 clinical stations and 1191 medical student examination outcomes in the final 2 years of study at a single centre. RESULTS: On a scale from 0.00 (Fail) to 1.00 (Excellent), mean examiner GRs for 'Borderline Pass', 'Clear Pass' and 'Good' were 0.33, 0.55 and 0.77 respectively. All of the four intervals between GRs (Fail-Borderline Pass, Borderline Pass-Clear Pass, Clear Pass-Good, Good-Excellent) were statistically significantly different to the expected value of 0.25 (all p-values < 0.0125). An ordinal linear regression using mean examiner GRs was performed for each of the 94 stations, to determine pass marks out of 24. This increased pass marks for all 94 stations compared with the original GR locations (mean increase 0.21), and caused one additional fail by overall exam pass mark (out of 1191 students) and 92 additional station fails (out of 11,346 stations). CONCLUSIONS: Although the current assumption of equal intervals between GRs across the performance spectrum is not met, and an adjusted regression equation causes an increase in station pass marks, the effect on overall exam pass/fail outcomes is modest.

Temperature dependent studies on centimeter-scale MoS2and vdW heterostructures.

Transition metal dichalcogenides is an emerging 2D semiconducting material group which has excellent physical properties in the ultimately scaled thickness dimension. Specifically, van der Waals heterostructures hold the great promise in further advancing both the fundamental scientific knowledge and practical technological applications of 2D materials. Although 2D materials have been extensively studied for various sensing applications, temperature sensing still remains relatively unexplored. In this work, we experimentally study the temperature-dependent Raman spectroscopy and electrical conductivity of molybdenum disulfide (MoS2) and its heterostructures with platinum dichalcogenides (PtSe2and PtTe2) to explore their potential to become the next-generation temperature sensor. It is found that the MoS2-PtX2heterostructure shows the great promise as the high-sensitivity temperature sensor.

Emotional Self-Care: Exploring the Influencing Factors Among Individuals With Cancer.

Cancer is a leading source of distress and fatality worldwide. Cancer-related aberrant cell proliferation causes excruciating pain and impairment. To cope with pain and manage symptoms and illness, pharmaceutical and non-pharmacological options are available. Self-care behaviors are recognized as a key source in symptom management and improving quality adherence to treatment among the current non-pharmacological strategies. The intervention measures to improve self-care were hardly impacted because of the narrow focus on physical self-care. Bringing in emotional self-care and addressing the individual's emotional health can enhance the effectiveness of interventions on a holistic level. Hence, this study has attempted to explore the factors that influence emotional self-care among individuals with cancer. Following an exploratory research design, the data were collected from 15 participants (4 men and 11 women) using purposive sampling and semi-structured interviews. Through thematic analysis, eight major themes were identified: physiological factors, social factors, family factors, psychological factors, individual factors, socioeconomic factors, cultural factors, and spiritual factors. The findings explained the emotional self-care among patients with cancer and how different identified factors influence their emotional self-care practices.

Applying social cognitive theory to predict physical activity and dietary behavior among patients with type-2 diabetes.

INTRODUCTION: Non-communicable diseases, arising out of changing lifestyle habits of people, are the foremost causes of mortality and morbidity worldwide. Most of these diseases occur in low and middle-income countries. Chronic diseases can be managed with the help of health behaviors such as proper diet, physical exercise, adherence to medication, and avoidance of health risk behaviors such as smoking, alcohol consumption, sedentary lifestyle, etc. The social cognitive theory addresses the role of personal and environmental factors in an individual's health behavior. The current study aims to understand the role of social cognitive theory on physical activity and dietary behavior amongst individuals diagnosed with type-2 diabetes. METHODS: A correlational study was conducted among 225 participants with type-2 diabetes, who are under medication. The data was collected using social cognitive questionnaire for physical activity & dietary behavior and Health-Promoting Lifestyle Profile II. Descriptive statistics, Pearson's correlation coefficient and multiple linear regression analysis were used to analyze the data. RESULTS: It was found from the study results that, all the domains of social cognitive theory were significantly correlated with physical activity (p<0.001) and the SCT domains- self-regulation (p<0.001), social support (p<0.001), and outcome expectancy (p<0.05) were significantly correlated with dietary behavior. The results of multiple linear regressions indicated that the domains self- regulation and self- efficacy were the significant predictor for physical activity behavior (R2=.21, p ≤ 0.001) while the domains social support and self-regulation were the significant predictor of dietary behavior (R2=.09, p ≤ 0.001). CONCLUSION: The study results show that there is an influence of social cognitive domains on physical activity and dietary behaviour. Further, this study suggests that social cognitive theory based intervention can be used to promote healthy behaviour.

Proposal for an electrostrictive logic device with the epitaxial oxide heterostructure.

The possible use of electrostrictive materials for information processing devices has been widely discussed because it could allow low-power logic operation by overcoming the fundamental limit of subthreshold swing greater than 60 mV/decade in conventional MOSFETs. However, existing proposals for electrostrictive FET applications typically adopt approaches that are entirely theoretical and simulative, thus lacking practical insights into how an electrostrictive material can be best interfaced with a channel material. Here we propose an electrostrictive FET device, involving the epitaxial oxide heterostructure as an ideal material platform for maximum strain transfer. The ON/OFF switching occurs due to a stress-induced concentration change of oxygen vacancies in the memristive oxide channel layer. Based on finite-element simulations, we show that the application of a minimal gate voltage bias can induce stress in the channel layer as high as 108 N/m2 owing to the epitaxial interface between the electrostrictive and memristive oxide layers. Conductive AFM experiments further support the feasibility of the proposed device by demonstrating the stress-induced conductivity modulation of a perovskite oxide thin film, SrTiO3, that is well known to serve as the substrate for epitaxial growth of other functional oxide layers.