The effect of mindfulness-based interventions on reducing stress in future health professionals: A systematic review and meta-analysis of randomized controlled trials

Association between social capital, mental health, and digital health literacy among the university students in China: a multigroup analysis based on major difference

BACKGROUND

This study aimed to clarify medical-nonmedical difference on the relationship between social capital, mental health and digital health literacy of university students in China, and furtherly provide evidence-based suggestions on the improvement of the digital health literacy for the university students.

METHODS

The snowball sampling method was used to collect data from the university students (including medical students and nonmedical students) through online questionnaires, and finally 1472 university students were included for the data analysis, of whom, 665 (45.18%) were medical students, 807 (54.82%) were nonmedical students; 462 (31.39%) were male, 1010 (68.61%) were female. Mean value of the age was 21.34 ± 2.33 for medical students vs. 20.96 ± 2.16 for nonmedical students. Descriptive analysis, chi-square test analysis, one-way Analysis of Variance (conducted by SPSS) and structural equation modeling (conducted by AMOS) were employed to explore the difference on the relationship between social capital, mental health and digital health literacy between the medical students and nonmedical students.

RESULTS

The mean value of the digital health literacy was 36.27 (37.33 for medical students vs. 35.39 for nonmedical students). The SEM analysis showed that there was a statistically positive correlation between social capital and digital health literacy (stronger among the nonmedical students (0.317) than medical students (0.184)). Mental health had a statistically positive impact on the digital health literacy among medical students (0.242), but statistically significant correlation was not observed in nonmedical students (0.017). Social capital was negatively correlated with the mental health for both medical students and NMS (stronger among the nonmedical students (0.366) than medical students (0.255)). And the fitness indices of SEM were same between medical students and nonmedical students (GFI = 0.911, AGFI = 0.859, CFI = 0.922, RMSEA = 0.074).

CONCLUSION

The digital health literacy of the university student was relatively high. Both social capital and mental health could exert a positive effect on digital health literacy, while social capital was found to be positively associated with mental health. Statistical difference was found between medical students and nonmedical students on the above correlations. Implications were given on the improvement of the digital health literacy among university students in China.

Enhancing self-care education amongst medical students: a systematic scoping review

BACKGROUND

Reports of emotional, existential and moral distress amongst medical students witnessing death and suffering of patients during their clinical postings have raised awareness on the need for better psycho-emotional support during medical school. Furthermore, the stress experienced by medical students stemming from the rigours of their academic curriculum underlines the need for greater awareness on mental health issues and better self-care practices across medical training. With such programmes lacking in most medical schools, we propose a systematic scoping review (SSR) to map and address our research question, "what is known about self-care education interventions amongst medical students?".

METHODS

We adopted the Systematic Evidence-Based Approach to guide a systematic scoping review (SSR in SEBA) of relevant articles published between 1st January 2000 and 30th June 2023 in PubMed, Embase, PsycINFO, ERIC, Google Scholar, and Scopus databases. The included articles were independently and concurrently thematically and content analysed, with complementary categories and themes combined using the Jigsaw Approach. The domains created from the Funnelling Process framed the discussion.

RESULTS

A total of 6128 abstracts were identified, 429 full-text articles evaluated, and 147 articles included. The 6 domains identified were definition, topics, pedagogy, influences, outcomes and assessment. Most interventions were promising, though peer-led mindfulness-based interventions showed most promise in enhancing engagement, positively impacting personal wellbeing, and improving patient care. Overall, however, self-care education was poorly recognized, adopted and integrated into curricula.

CONCLUSION

Greater dedicated time and conducive practice environments within medical school curricula is required to enhance medical student wellbeing. Host organizations must ensure faculty are appropriately selected to instil the importance of self-care, be trained to assess and personalize self-care interventions and provide longitudinal assessment and support. Further study into assessing self-care capabilities is required.

From complexity to clarity: how directed acyclic graphs enhance the study design of systematic reviews and meta-analyses

While frameworks to systematically assess bias in systematic reviews and meta-analyses (SRMAs) and frameworks on causal inference are well established, they are less frequently integrated beyond the data analysis stages. This paper proposes the use of Directed Acyclic Graphs (DAGs) in the design stage of SRMAs. We hypothesize that DAGs created and registered a priori can offer a useful approach to more effective and efficient evidence synthesis. DAGs provide a visual representation of the complex assumed relationships between variables within and beyond individual studies prior to data analysis, facilitating discussion among researchers, guiding data analysis, and may lead to more targeted inclusion criteria or set of data extraction items. We illustrate this argument through both experimental and observational case examples.