METHODS: This was a cross-sectional study. Validated Short Grit Scale (Grit-S) and Pemberton Happiness Index (PHI) were distributed to all 409 undergraduate dental students in Faculty of Dentistry, UiTM through their class representatives. Scores for both grit and happiness were calculated according to their instruction manual. Data were analyzed using SPSS Version 25 by descriptive analysis, one-way ANOVA, independent t-test, Pearson's correlation, and linear regression.
RESULT: Two hundred sixty-six students returned the answered questionnaires, yielding a response rate of 65%. Prevalence of gritty and happy UiTM dental students was found to be at 79% and 41%, respectively. There was a significant positive fair linear correlation between grit and happiness among dental students (r = 0.225, p
METHODS: A series of online meetings were conducted by the lead author (PK) and the SMART Recovery International Executive Officer (KM), with representatives from the SMART Recovery National Offices in the Ireland (DO), United States (MR), Australia (RM), and Denmark (BSH, DA), and the United Kingdom (AK). The meetings focused on discussing the impacts of COVID-19 on SMART Recovery in each of the regions.
RESULTS: As a result of restrictions to prevent the transmission of COVID-19, the vast majority of SMART Recovery face-to-face meetings were required to cease globally. To ensure people still had access to AOD mutual support, SMART Recovery rapidly scaled up the provision of online groups. This upscaling has increased the number of groups in countries that had previously provided a limited number of online meetings (i.e., United States, England, Australia), and has meant that online groups are available for the first time in Denmark, Ireland, Hong Kong, Spain, Malaysia and Brazil.
DISCUSSION: Whilst the urgent and rapid expansion of online groups was required to support people during the pandemic, it has also created an opportunity for the ongoing availability of online mutual support post-pandemic. The challenge for the research community is to critically evaluate the online delivery of mutual support groups, to better understand the mechanisms through which they may work, and to help understand the experience of people accessing the groups.
METHOD: Underpinned by the self-efficacy theory, we argue that high-quality safety leadership enhances nurses' safety knowledge and motivation and subsequently, improves their safety behavior (safety compliance and safety participation). A total of 332 questionnaire responses were gathered and analyzed using SmartPLS Version 3.2.9, revealing the direct effect of safety leadership on both safety knowledge and safety motivation.
RESULTS: Safety knowledge and safety motivation were found to directly and significantly predict nurses' safety behavior. Notably, safety knowledge and safety motivation were established as important mediators in the relationship between safety leadership and nurses' safety compliance and participation.
PRACTICAL APPLICATIONS: The findings of this study offer key guidance for safety researchers and hospital practitioners in identifying mechanisms to enhance safety behavior among nurses.
METHODS: This study employed a qualitative instrumental case study design intended to compare two groups of students-high-achieving students (n = 14) and low-achieving students (n = 5), enrolled in pre-clinical medical studies at the Universiti Malaya, Malaysia. Data were collected through reflective journals and semi-structured interviews. Regarding journaling, participants were required to recall their learning experiences of the previous academic year. Two analysts coded the data and then compared the codes of high- and low-achieving students. The third analyst reviewed the codes. Themes were identified iteratively, working towards comparing the learning processes of high- and low-achieving students.
RESULTS: Data analysis revealed four themes-motivation and expectation, study methods, self-management, and flexibility of mindset. First, high-achieving students were more motivated and had higher academic expectations than low-achieving students. Second, high-achieving students adopted study planning and deep learning approaches, whereas low-achieving students adopted superficial learning approaches. Third, in contrast to low-achieving students, high-achieving students exhibited better time management and studied consistently. Finally, high-achieving students proactively sought external support and made changes to overcome challenges. In contrast, low-achieving students were less resilient and tended to avoid challenges.
CONCLUSION: Based on the theory of action, high-achieving students utilize positive governing variables, whereas low-achieving students are driven by negative governing variables. Hence, governing variable-based remediation is needed to help low-achieving students interrogate the motives behind their actions and realign positive governing variables, actions, and intended outcomes.Key MessagesThis study found four themes describing the differences between high- and low-achieving pre-clinical medical students: motivation and expectation, study methods, self-management, and flexibility of mindset.Based on the theory of action approach, high-achieving pre-clinical medical students are fundamentally different from their low-achieving peers in terms of their governing variables, with the positive governing variables likely to have guided them to act in a manner beneficial to and facilitating desirable academic performance.Governing variable-based remediation may help students interrogate the motives of their actions.
METHODS: A systematic literature search was performed on five electronic databases from database inception to 3 November 2021. A two-step technique was used in the data synthesis process: (i) the barriers of LTBI management were identified using the COM-B model, followed by (ii) mapping of intervention functions from BCW to address the identified barriers.
RESULTS: Forty-seven eligible articles were included in this review. The findings highlighted the need for a multifaceted approach in tackling the barriers in LTBI management across the public, provider and system levels. The barriers were summarized into suboptimal knowledge and misperception of LTBI, as well as stigma and psychosocial burden, which could be overcome with a combination of intervention functions, targeting education, environment restructuring, persuasion, modelling, training, incentivization and enablement.
CONCLUSIONS: The remedial strategies using BCW to facilitate policy reforms in LTBI management could serve as a value-added initiative in the global tuberculosis control and prevention program.