Materials and Methods: A total of 324 undergraduate preclinical (year 2) and clinical (year 3-5) medical students participated in this study. The research design used thematic analysis of an open-ended questionnaire to analyze the qualitative data.
Results: The thematic analysis detected five major emergent themes: lack of remembering (18.2%), lack of understanding (28.4%), difficulty in applying (3.6%), difficulty in analysis (15.1%), and difficulty in interpretation (17.8%), of which addressing these challenges could be taken as a foundation step upon which medical educators put an emphasis on in order to improve ECG teaching and learning.
Conclusion: Negative attitude toward ECG learning poses a serious threat to acquire competency in ECG interpretation skill. The concept of student's memorizing ECG is not a correct approach; instead, understanding the concept and vector analysis is an elementary key for mastering ECG interpretation skill. The finding of this study sheds light into a better understanding of medical students' deficient points of ECG learning in parallel with taxonomy of cognitive domain and enables the medical teachers to come up with effective and innovative strategies for innovative ECG learning in an undergraduate medical curriculum.
OBJECTIVE: This study aims to identify and review existing literature on ICT integration in nursing education within the context of Southeast Asia and to identify the themes of these studies, ICT tools of concern and the research methods adopted.
METHODOLOGY: A systematic review of six eligible literatures was conducted with thematic analysis. The data for this systematic review of literature are from published studies based on the formulated research question. Electronic databases of Medline, Scopus, PubMed, CINAHL, Mendeley, and Google Scholar were searched and literatures retrieved and screened for eligibility. No date limit was considered in the literature search. This systematic review utilized the Preferred Reporting Items for Systematic Reviews and Meta-Analyses.
RESULTS: The studies originated from the Philippines (n = 3), Malaysia (n = 2), and Singapore (n = 1). One study originated from both the Philippines and Thailand. Four themes emerged from the thematic analysis which include: (1) use of ICT to enhance teaching and learning in nursing, (2) challenges with ICT integration in nursing education, (3) attitude and perceptions toward ICT integration in nursing education, and (4) suggestions for improvement. The most important ICT tools were computers, projectors, and internet. Majority of the studies were descriptive quantitative studies.
CONCLUSION: Despite increasing concern on the use of ICT in Southeast Asia, ICT integration in nursing education has not been given significant attention. Governments of the Southeast Asian countries should provide sufficient support for ICT integration in the various nursing institutions. Institutional administrators are encouraged to key into the ICT trend and render their support when and where necessary.
Methods: A multifarious network of Aedes aegypti is addressed keeping the viewpoint of a complex system and modelled as a network. The dengue network has been transformed into a one-mode network from a two-mode network by utilizing projection methods. Furthermore, three network features have been analyzed, the power-law, clustering coefficient, and network visualization. In addition, five methods have been applied to calculate the global clustering coefficient.
Results: It has been observed that dengue epidemic follows a power-law, with the value of its exponent γ = -2.1. The value of the clustering coefficient is high for dengue cases, as weight of links. The minimum method showed the highest value among the methods used to calculate the coefficient. Network visualization showed the main areas. Moreover, the dengue situation did not remain the same throughout the observed period.
Conclusions: The results showed that the network topology exhibits the features of a scale-free network instead of a random network. Focal hubs are highlighted and the critical period is found. Outcomes are important for the researchers, health officials, and policy makers who deal with arbovirus epidemic diseases. Zika virus and Chikungunya virus can also be modelled and analyzed in this manner.