Exploring wellbeing in first year medical students amidst a curriculum change

Natural Semantic Networks: The Concept of Mistreatment and Good Treatment in Students of Health Careers

Natural semantic networks (NSNs) provide an approach to understanding concepts in terms of their density and strength. The objective of this study was to conceptualize mistreatment and good treatment among health science students in Chile, according to gender and training cycle. Methods: A mixed-methods study with a relational scope was conducted, involving 994 health science students. The present study is exploratory and combines both qualitative and quantitative analysis. We utilized the NSN technique, applying a questionnaire via SurveyMonkey after obtaining informed consent. Results: A total of 4386 defining words for mistreatment were identified, with the most relevant being 'aggression', 'abuse', and 'violence'. In the case of good treatment, a total of 4146 defining words were obtained, with 'respect', 'empathy', and 'kindness' standing out. For good treatment, a statistically significant relationship was observed between the defining words and the variables of gender (χ2 = 41.158; p < 0.05) and training cycle (χ2 = 28.698; p < 0.05). For mistreatment, a statistically significant relationship was found only with training cycle (χ2 = 35.858; p < 0.05). Conclusions: Exploring the meanings associated with mistreatment and good treatment has a theoretical implication in the way in which two highly polysemic aspects of the educational environment can be understood.

Measuring wellbeing: A scoping review of metrics and studies measuring medical student wellbeing across multiple timepoints

PURPOSE

Studies have demonstrated poor mental health in medical students. However, there is wide variation in study design and metric use, impairing comparability. The authors aimed to examine the metrics and methods used to measure medical student wellbeing across multiple timepoints and identify where guidance is necessary.

METHODS

Five databases were searched between May and June 2021 for studies using survey-based metrics among medical students at multiple timepoints. Screening and data extraction were done independently by two reviewers. Data regarding the manuscript, methodology, and metrics were analyzed.

RESULTS

221 studies were included, with 109 observational and 112 interventional studies. There were limited studies (15.4%) focused on clinical students. Stress management interventions were the most common (40.2%). Few (3.57%) interventional studies followed participants longer than 12 months, and 38.4% had no control group. There were 140 unique metrics measuring 13 constructs. 52.1% of metrics were used only once.

CONCLUSIONS

Unique guidance is needed to address gaps in study design as well as unique challenges surrounding medical student wellbeing surveys. Metric use is highly variable and future research is necessary to identify metrics specifically validated in medical student samples that reflect the diversity of today's students.

Pre-medical students' perceptions of educational environment and their subjective happiness: a comparative study before and after the COVID-19 pandemic

BACKGROUND

The COVID-19 pandemic necessarily changed pre-medical students' educational environment into an online format-and students' subjective happiness (SH) is highly impacted by their educational environment. This study investigates changes in pre-medical students' perceptions of their educational environment and their SH before and after the pandemic, as well as explores the predictors related to their SH.

METHODS

The Korean version of the Dundee Ready Educational Environment Measure (DREEM) questionnaire and single-item measures of SH and professional identity (PI) were used. The t-test was employed to analyze the differences of the SH, PI, and DREEM subscales scores before and after the onset of COVID-19. Cohen's d was used as effect size and correlations between SH and different subscales of DREEM were analyzed using Pearson's correlation. The multiple regression analysis was performed to reveal associations between predictors and SH.

RESULTS

A total of 399 pre-medical students completed the survey both before and after the COVID-19 pandemic. The DREEM scores and all subscales scores significantly increased but each presents a different effect size. Students' Perceptions of Learning (SPL: Cohen's d = 0.97), Students' Perceptions of Teaching (SPT: Cohen's d = 1.13), and Students' Perceptions of Atmosphere (SPA: Cohen's d = 0.89) have large effect sizes. Students' Academic Self-Perceptions (SASP: Cohen's d = 0.66) have a medium effect size and Students' Social Self-Perceptions (SSSP: Cohen's d = 0.40) have a small effect size. In contrast, no significant change was noted in the SH and PI. Both PI and SSSP impacted SH before COVID-19, but after the pandemic, SH was impacted by SPL, SPA, and SSSP.

CONCLUSIONS

Students' overall perception of their educational environment was more positive after the onset of COVID-19, but their social self-perceptions improved the least. Additionally, SSSP is the only predictor of SH both before and after the pandemic. The findings of this study suggest that educational institutions must pay attention to students' social relationships when trying to improve their educational environment. Furthermore, so as to increase students' SH, development of both educational environment and PI is essential.