METHODS: This was a retrospective open cohort study from 2013 to 2017 among T2D patients in public primary health care clinics in Negeri Sembilan state, Malaysia. Linear mixed-effects modelling was conducted to determine the LDL-C trend and its predictors. The LDL-C target for patients without CVD was <2.6 mmol/L, whereas <1.8 mmol/L was targeted for those with CVD.
RESULTS: Among 18,312 patients, there were more females (55.9%), adults ≥60 years (49.4%), Malays (64.7%), non-smokers (93.6%), and 45.3% had diabetes for <5 years. The overall LDL-C trend reduced by 6.8% from 2.96 to 2.76 mmol/L. In 2017, 16.8% (95% CI: 13.2-21.0) of patients without CVD and 45.8% (95% CI: 44.8-46.8) of patients with CVD achieved their respective LDL-C targets. The predictors for a higher LDL-C trend were younger adults, Malay and Indian ethnicities, females, dyslipidemia, and diabetes treatment with lifestyle modification and insulin. Longer diabetes duration, obesity, hypertension, retinopathy, statin therapy, achievement of HbA1c target and achievement of BP target were independent predictors for a lower LDL-C trend.
CONCLUSIONS: The LDL-C trend has improved, but there are still gaps between actual results and clinical targets. Interventions should be planned and targeted at the high-risk populations to control their LDL-C.
METHODS: We followed the guidelines suggested by Whetten for constructing a theoretical model for framework development. There were four phases in the model development. In the first phase, different literature review methods were used, and additional students' perspectives were collected through focus group discussions. Then, using the data, we constructed the theoretical model in the second phase. In the third phase, we validated the newly developed model and its related guidelines. Finally, we performed response process validation of the model with a group of medical teachers.
RESULTS: The developed systematic assessment resilience framework (SAR) promotes four constructs: self-control, management, engagement, and growth, through five phases of assessment: assessment experience, assessment direction, assessment preparation, examiner focus, and student reflection. Each phase contains a number of practical guidelines to promote resilience. We rigorously triangulated each approach with its theoretical foundations and evaluated it on the basis of its content and process. The model showed high levels of content and face validity.
CONCLUSIONS: The SAR model offers a novel guideline for fostering resilience through assessment planning and practice. It includes a number of attainable and practical guidelines for enhancing resilience. In addition, it opens a new horizon for HPE students' future use of this framework in the new normal condition (post COVID 19).
METHODS: We conducted a phenomenological study on medical students at a public university. We utilized focus group discussions (FGDs) to investigate their experiences of TA. The FGDs were transcribed verbatim, and these transcripts were analyzed using Atlas.ti software. The thematic analysis followed the recommended guidelines.
RESULTS: Seven FGD sessions were conducted with 45 students. Three major themes emerged: the students, their academic resources, and the examiner. Each theme comprised mutually exclusive subthemes. The "students" theme was divided into negative vs. positive thoughts and self-negligence vs. self-care, "academic recources" into heavy curriculum vs. facilitative curricular aids, and "examiner" into criticism vs. feedback and strict vs. kind approaches.
CONCLUSION: This study provides a solid foundation for policymakers and decision makers in medical education to improve current assessment practices and student well-being. Medical students will be able to significantly alter and reduce TA if they are provided with additional psychological support and their examiners are trained on how to deal with examinees.
METHODS: We followed a systematic approach for the development of a framework about e-professionalism. Qualitative data was collected from a systematic review and a delphi study, while quantitative data was collected by administering a validated questionnaire social networking sites for medical education (snsme). Subsequently, categorization of the selected data and identifying concepts, deconstruction and further categorizing concepts (philosophical triangulation), integration of concepts (theoretical triangulation), and synthesis and resynthesis of concepts were performed.
RESULTS: The initial process yielded six overlapping concepts from personal, professional, character (implicit) and characteristic (explicit) domains: environment, behavior, competence, virtues, identity, and mission. Further integration of data was done for the development of the medical education e-professionalism (meep) framework with a central concept of a commitment to mission. The mission showed deep connections with values (conformity, beneficence, universalism, and integrity), behaviours (communication, self-awareness, tolerance, power), and identity (reflection, conscientiousness, self-directed, self-actualization). The data demonstrated that all medical professionals require updated expertise in sns participation.
CONCLUSION: The meep framework recognises a mission-based social contract by the medical community. This mission is largely driven by professional values, behaviors and identity. Adherence to digital standards, accountability, empathy, sensitivity, and commitment to society are essential elements of the meep framework.
MATERIALS AND METHODS: The study involved 50 Medical Laboratory Technology students who were randomly assigned to three groups. Group 1 (G1) participants received an interactive web-based online game called CytoUniverse, which comprised three components: a story-based game, a cytomorphology game, and a quiz focusing on Trichomonas vaginalis infection in cytology. Group 2 (G2) participants received the same information from a video lecture. Group 3 (G3) received both the web-based online game and the video lecture. The participants were assessed before the intervention (T1) and after the intervention (T2) to measure the effectiveness of the respective learning methods. IBM SPSS version 28 and GraphPad Prism version 9.0 were used to collect, tabulate, and analyze the data. By using descriptive analysis, the normality of the data was checked. Knowledge score and age were described as mean and standard deviation (SD) for numerical data. On the contrary, the categorical data, such as gender and group categories, were reported as frequencies and percentages. Fisher's exact test, paired t-test, and one-way ANOVA test were used in this study to determine the significance between groups.
RESULTS: The study's results indicated a statistically significant improvement (P < 0.05) in knowledge scores at T2 compared to T1 for both G1 and G2 when compared to G3. However, there were no significant differences in knowledge scores between all groups for T1 or T2.
CONCLUSIONS: In conclusion, gamification through a web-based online game may improve understanding of Trichomonas vaginalis infection. It looks to be a promising strategy for boosting students' knowledge and awareness to recognize Trichomonas vaginalis infection in cytology.