Fear is a central emotional response to imminent threats such as the coronavirus-19 disease (COVID-19). The Fear of COVID-19 Scale (FCV-19S) assesses the severity of fear towards COVID-19. The present study examined the psychometric properties of the Arabic version of the FCV-19S. Using a forward-backward translation, the FCV-19S was translated into Arabic. An online survey using the Arabic versions of FCV-19S and the Hospital Anxiety and Depression Scale (HADS) was administered. Reliability and concurrent and confirmatory validity were examined. The dataset consisted of 693 Saudi participants. The internal consistency of the Arabic FCV-19S was satisfactory (α = .88), with sound concurrent validity indicated by significant and positive correlations with HADS (r = .66). The unidimensional structure of the FCV-19S was confirmed. The Arabic version of the FCV-19S is psychometrically robust and can be used in research assessing the psychological impact of COVID-19 among a Saudi adult population.

There is evidence that peer-support programs can improve mental health indices and help-seeking behavior among students in some secondary school and university settings and that mindfulness can improve mental health in medical students. Peer-led programs have not been formally assessed in a medical student population, where psychological issues exist and where it has been shown that students approach peers for help in preference to staff members or professional services. Medical students elected peer leaders who underwent training and then provided the intervention. The peer leaders provided support to students in the intervention group, as well as offering teaching in mindfulness meditation. An exploratory study was conducted with 2nd- and 3rd-year medical students at 1 medical school in New Zealand randomized into 2 groups. In addition to existing mental health resources, intervention participants received a program including peer support and peer-taught mindfulness practice. Study participants not offered the intervention participants could use existing mental health resources. Primary measures included depression (PHQ-9) and anxiety (GAD-7) scores. Secondary measures were quality of life, resilience (15-item resilience scale), academic self-concept, and motivation to learn, assessed at baseline and 6 months. Of the 402 students eligible, 275 (68%) participated and 232 (58%) completed the study. At baseline, 53% were female and mean age was 21 years (SD = 3)-PHQ-9 score (M = 5.2, SD = 3.7) and GAD-7 score (M = 4.5, SD = 3.4). Twelve peer leaders were elected. There was good participation in the intervention. One fourth of intervention students used the face-to-face peer support and more than 50% attended a peer social event and/or participated in the mindfulness program. Although improvements in mental health were seen in the intervention group, the difference between the intervention and nonintervention groups did not reach statistical significance. Although evidence exists for effectiveness of peer support and mindfulness in other contexts, this exploratory study was not able to show a statistically significant effect. Future studies could consider using a longer training period for the peer leaders, as well as targeting the study population to those most likely to benefit such as those with poorer mental health, or using a more intensive intervention or larger sample size. A cluster randomized study design would also reduce the risk of contamination.

Artificial intelligence (AI) has demonstrated clinical potential, yet its influence on medical education remains limited. This review explores AI applications in medical education, evaluates available evidence and considers future applications. We conducted a scoping review (PubMed, MEDLINE, SCOPUS, Google Scholar; 2010–2022) identifying 42 relevant peer-reviewed articles. Four key themes emerged: surgical skills assessment, radiology training, interactive learning, and text interpretation. Current applications enhance surgical simulation and facilitate interactive learning. These tools may evolve towards comprehensive and individualised educational aids. Despite promising early applications, evidence on educational and clinical outcomes remains limited. Future research should prioritise validated outcomes in larger trials to confirm generalisability and address AI limitations.

The purpose of the present study was to validate the use of the abbreviated version of the World Health Organization Quality of Life (WHOQOL-BREF) questionnaire with medical students. A sample of 274 medical students in their fourth and fifth years of study (80% response rate) completed the WHOQOL-BREF instrument. The four-domain factor structure of the questionnaire was tested using confirmatory factor analysis. A variety of other tests of reliability and validity were conducted. Goodness-of-fit indices from the confirmatory factor analysis were acceptable, and the factor structure of the WHOQOL-BREF was confirmed in this sample. Reliability was good, but three of the items showed strong ceiling effects. The WHOQOL-BREF is valid to use with medical students to assess health-related quality of life. Some items, such as those inquiring about pain and medication, may not be suitable for medical students or young people in general.

Article Citation: Ralph Pinnock, Louise Young, Fiona Spence, Marcus Henning, Wayne Hazell, (2015) Can Think Aloud Be Used to Teach and Assess Clinical Reasoning in Graduate Medical Education?. Journal of Graduate Medical Education: September 2015, Vol. 7, No. 3, pp. 334-337. doi: http://dx.doi.org/10.4300/JGME-D-14-00601.1