METHODS AND ANALYSIS: Arksey and O'Malley's scoping review methodology framework will guide the conduct of this scoping review. The search strategy will involve electronic databases including PubMed, Excerpta Medica Database, Cumulative Index of Nursing and Allied Health Literature, Cochrane Library, Google Scholar and ScienceDirect, in addition to grey literature sources and hand-searching of reference lists. Two reviewers will independently screen all abstracts and full-text studies for inclusion. Data will be charted and sorted through an iterative process by the research team. The extracted data will undergo a descriptive analysis and simple quantitative analysis will be conducted using descriptive statistics. Engagement with relevant stakeholders will be carried out to gain more insights into our data from different perspectives.
ETHICS AND DISSEMINATION: Since the data used are from publicly available sources, this study does not require ethical approval. Results will be disseminated through academic journals, conferences and seminars. We anticipate that our findings will aid technology developers and health professionals working in the area of ageing and rehabilitation.
Patients and Methods: The data were collected from 35 experts by using a bipolar questionnaire. The study applied an analytical hierarchal process (AHP) for prioritization factors contributing to willingness to donate and then selection of a suitable organ donation system based on prioritized factors.
Results: Based on the AHP results, it is evident that donation perception (0.36) has the highest priority in influencing organ donation rates, followed by socioeconomic status (0.32), demographic factors (0.23), and financial incentives (0.09). Further, our results challenge the existing opt-in donation system in Malaysia and present a presumptive approach as a suitable system for increasing deceased donation rate in Malaysia. Presumptive approach promotes the role of health-care professionals in securing the family consent.
Conclusion: This approach is a person-oriented rather than process-oriented strategy and it relies on designated requesters' skills to evoke altruism among bereaved families. Based on results, the authors recommended that relevant government agencies focus on training nurses to discuss donation with bereaved families and raising public awareness.
OBJECTIVE: The objectives of the study are to explore the determinants, motives, and barriers to healthy eating behaviors in online communities and provide insight into YouTube video commenters' perceptions and sentiments of healthy eating through text mining techniques.
METHODS: This paper applied text mining techniques to identify and categorize meaningful healthy eating determinants. These determinants were then incorporated into hypothetically defined constructs that reflect their thematic and sentimental nature in order to test our proposed model using a variance-based structural equation modeling procedure.
RESULTS: With a dataset of 4654 comments extracted from YouTube videos in the context of Malaysia, we apply a text mining method to analyze the perceptions and behavior of healthy eating. There were 10 clusters identified with regard to food ingredients, food price, food choice, food portion, well-being, cooking, and culture in the concept of healthy eating. The structural equation modeling results show that clusters are positively associated with healthy eating with all P values less than .001, indicating a statistical significance of the study results. People hold complex and multifaceted beliefs about healthy eating in the context of YouTube videos. Fruits and vegetables are the epitome of healthy foods. Despite having a favorable perception of healthy eating, people may not purchase commonly recognized healthy food if it has a premium price. People associate healthy eating with weight concerns. Food taste, variety, and availability are identified as reasons why Malaysians cannot act on eating healthily.
CONCLUSIONS: This study offers significant value to the existing literature of health-related studies by investigating the rich and diverse social media data gleaned from YouTube. This research integrated text mining analytics with predictive modeling techniques to identify thematic constructs and analyze the sentiments of healthy eating.
Methods: A randomized controlled trial (RCT) for 12 months was carried out on patients diagnosed with stroke at Hospital Kuala Lumpur, Malaysia. The RCT recruited up to 216 eligible patients who were requested to return for two more follow-ups within six months. Consented patients were randomized to either standard care or intervention with video narratives. The control of potential confounding factors was ensured, as well as unbiased treatment review with prescribed medications, only obtained onsite.
Results and Discussion: A repeated measure of MUSE mean score differences at T0 (baseline), T2 (6th month) and T4 (12th month) for antithrombotic, antihypertensive, and all medication categories indicated significant within and between groups differences in the intervention group (p<0.05). Moreover, this impact was reflected upon continuous blood pressure (BP) monitoring compared to the control group (F (1214) =5.23, p=0.023, ƞ2=0.024). Though BP measure differences were non-significant between the groups (p=0.552), repeated measure analysis displayed significant mean differences between intervention and control group on BP control over time (F (1.344, 287.55) =8.54, P<0.001, ƞ2=0.038). Similarly, the intervention's positive impact was also present with similar trends for knowledge, illness perception, and the belief about medicine. Though significant differences (p<0.05) of all outcome measures gradually decreased between T2 and T4 in the intervention group; nevertheless, these positive findings confirmed that personalized video narratives were able to motivate and influence MUSE and its associated factors among post-stroke patients. The significant improvement in medication-taking self-efficacy and the sustenance of BP monitoring habits among patients in the intervention group strengthened our conceptual framework's practicality.
Materials and Methods: A qualitative research method was used to generate findings in this study. The data collection methods included focus group discussions and interviews. Triangulation methods were used to ensure the validity and reliability of the qualitative data analyzed in this study. The thematic analysis of the data collected in this study helped to garner insights into the perception of participants and experts about the use of GaMed@™ for the delivery of ECG lessons.
Results: A total number of 32 medical students and four experts in the fields of user experience, communication, social psychology, and game design participated in this study. The findings showed that in spite of the negative reports about the user experience and application of GaMed@™, the participants and experts affirmed its positive impact on the increased motivation and engagement of users.
Conclusions: The impact of this concept can be maximized by tailoring the game design to foster-positive learning attributes, behaviors, and outcomes in students. However, further research studies must be conducted to investigate the impact of gamification designs on specific learning outcomes in students.
METHODS: This study employed a phenomenological design. Five focus groups were conducted with medical students who had participated in several Kahoot! sessions.
RESULTS: Thirty-six categories and nine sub-themes emerged from the focus group discussions. They were grouped into three themes: attractive learning tool, learning guidance and source of motivation.
CONCLUSIONS: The results suggest that Kahoot! sessions motivate students to study, to determine the subject matter that needs to be studied and to be aware of what they have learned. Thus, the platform is a promising tool for formative assessment in medical education.