15 research outputs found

    Multidimensional Perfectionism among Medical, Dental and Optometry students at SEGi University, Malaysia

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    Perfectionism is a double-edged sword: it may act as a motivational force in its adaptive state or it may bring many harmful effects in its maladaptive state. Currently, perfectionism is viewed as a multidimensional construct with three orientations: self-oriented perfectionism (SOP), other-oriented perfectionism (OOP) and socially-prescribed perfectionism (SPP). This cross-sectional study explored the multidimensional perfectionism of medical, dental and optometry at SEGi University, Malaysia using the Multidimensional Perfectionism Scale (MPS). Medical students scored significantly higher than both dental and optometry students in the SOP subscale (p<0.05). International students had a significantly higher mean SOP subscale score than the local students, whereas those from the higher income group had a significantly higher mean SOP subscale score than those from the lower income group (p<0.05). The high achievers, on the other hand, had a higher mean SOP subscale score than the non-high achievers (p<0.05). Further exploration on the psychological impact of perfectionism on the students is recommended in future studies

    Exploring the perspectives of pharmaceutical experts and healthcare practitioners on senolytic drugs for vascular aging-related disorder: a qualitative study

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    Objective: The field of targeting cellular senescence with drug candidates to address age-related comorbidities has witnessed a notable surge of interest and research and development. This study aimed to gather valuable insights from pharmaceutical experts and healthcare practitioners regarding the potential and challenges of translating senolytic drugs for treatment of vascular aging-related disorders.Methods: This study employed a qualitative approach by conducting in-depth interviews with healthcare practitioners and pharmaceutical experts. Participants were selected through purposeful sampling. Thematic analysis was used to identify themes from the interview transcripts.Results: A total of six individuals were interviewed, with three being pharmaceutical experts and the remaining three healthcare practitioners. The significant global burden of cardiovascular diseases presents a potentially large market size that offer an opportunity for the development and marketability of novel senolytic drugs. The pharmaceutical sector demonstrates a positive inclination towards the commercialization of new senolytic drugs targeting vascular aging-related disorders. However potential important concerns have been raised, and these include increasing specificity toward senescent cells to prevent off-site targeting, thus ensuring the safety and efficacy of these drugs. In addition, novel senolytic therapy for vascular aging-related disorders may encounter competition from existing drugs that treat or manage risk factors of cardiovascular diseases. Healthcare practitioners are also in favor of recommending the novel senolytic drugs for vascular aging-related disorders but cautioned that its high cost may hinder its acceptance among patients. Besides sharing the same outcome-related concerns as with the pharmaceutical experts, healthcare practitioners anticipated a lack of awareness among the general public regarding the concept of targeting cellular senescence to delay vascular aging-related disorders, and this knowledge gap extends to healthcare practitioner themselves as well.Conclusion: Senolytic therapy for vascular aging-related disorders holds great promise, provided that crucial concerns surrounding its outcomes and commercial hurdles are effectively addressed

    Postgraduate ethics training programs: a systematic scoping review

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    BACKGROUND: Molding competent clinicians capable of applying ethics principles in their practice is a challenging task, compounded by wide variations in the teaching and assessment of ethics in the postgraduate setting. Despite these differences, ethics training programs should recognise that the transition from medical students to healthcare professionals entails a longitudinal process where ethics knowledge, skills and identity continue to build and deepen over time with clinical exposure. A systematic scoping review is proposed to analyse current postgraduate medical ethics training and assessment programs in peer-reviewed literature to guide the development of a local physician training curriculum. METHODS: With a constructivist perspective and relativist lens, this systematic scoping review on postgraduate medical ethics training and assessment will adopt the Systematic Evidence Based Approach (SEBA) to create a transparent and reproducible review. RESULTS: The first search involving the teaching of ethics yielded 7669 abstracts with 573 full text articles evaluated and 66 articles included. The second search involving the assessment of ethics identified 9919 abstracts with 333 full text articles reviewed and 29 articles included. The themes identified from the two searches were the goals and objectives, content, pedagogy, enabling and limiting factors of teaching ethics and assessment modalities used. Despite inherent disparities in ethics training programs, they provide a platform for learners to apply knowledge, translating it to skill and eventually becoming part of the identity of the learner. Illustrating the longitudinal nature of ethics training, the spiral curriculum seamlessly integrates and fortifies prevailing ethical knowledge acquired in medical school with the layering of new specialty, clinical and research specific content in professional practice. Various assessment methods are employed with special mention of portfolios as a longitudinal assessment modality that showcase the impact of ethics training on the development of professional identity formation (PIF). CONCLUSIONS: Our systematic scoping review has elicited key learning points in the teaching and assessment of ethics in the postgraduate setting. However, more research needs to be done on establishing Entrustable Professional Activities (EPA)s in ethics, with further exploration of the use of portfolios and key factors influencing its design, implementation and assessment of PIF and micro-credentialling in ethics practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12909-021-02644-5

    Accelerated surgery versus standard care in hip fracture (HIP ATTACK): an international, randomised, controlled trial

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    A Study on Barriers to Implement E-Waste Management

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    The increasing of electronic waste (E-waste) is not a new issue in the world and it has been causing trouble throughout the world. This study is conducted to determine and analyze various factors that affect the barriers of E-waste management among the household in Cheras, Malaysia. This study has identified the four independent variables that will affect the implementation of e-waste management among household in Cheras namely lack of awareness, lack of knowledge, lack of cooperation and lack of facilities. Normality test, reliability test and multiple regression analysis with ANOVA test are used to analyse the data in this study. The result shows that all mentions independent variables have a positive relationship with the barriers of implementing e-waste management among households in Cheras. Among these four variables, lack of facilities has the strongest relationship toward the barriers of implementing e-waste management among household in Cheras as it has the lowest significant value which was 0.000. The study recommends of legalize the policies, rules and regulations in order for household to increase their practice on e-waste management and also implement the teaching of e-waste management to increase the knowledge to the young generations

    Eating with a purpose: development and motivators for consumption of superfood

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    This research aimed to examine an integrated and modified Health Belief Model by encapsulating the factors influencing consumer likelihood to consume superfoods as adjusted to the Malaysian population. It was conducted in Peninsular Malaysia from May 2019 until October 2019 using a sample size of 1,000 individuals obtained via purposive sampling, whereby the data were analysed by using structural equation modelling. The result showed that consumer likelihood to consume superfoods was positively influenced by perceived benefits and perceived susceptibility, while negatively influenced by perceived barrier. The cue to action had a direct influence on perceived susceptibility, perceived seriousness, and perceived benefits. Surprisingly, the cue to action was not too influential on perceived barrier and likelihood to consume superfoods. Nevertheless, the proposed modified Health Belief Model fitted the data better than the original model. This implied that it is important to focus on the cue to action especially in the superfood-buying context as opposed to the original Health Belief Model which neglected the cue to action

    Real-time Machine Health Monitoring System using Machine Learning with IoT Technology

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    Machine health monitoring is the main focal point for now as many industries are evolving to industry 4.0. Industry 4.0 is the revolution in industrial that involve the Internet of Things (IoT) and artificial intelligence toward automation and data sharing for production efficiency improvement. The existing established methods for machine health monitoring were not in real-time and there was no real-time correction of data from the load and processing of data on the computer. In tracking machine health efficiency this approach wasn’t very successful. Real-time machine health monitoring can improve overall equipment effectiveness (OEE), reduce electricity consumption, minimize unplanned downtime, and extend machine lifetime. In this research paper, we propose to design a real-time machine health monitoring system using machine learning with IoT technology that can analyze the supply balancing condition on a 3-phase system. This system is built with compact physical hardware and can capture the electrical data from the load then send it to the server. The server will progress data and train the data using machine learning. The system was installed on a blender machine in a factory. In this research, a system which is able to monitor the machine operation and classify the operation stages of the machine was developed. Besides that, the system also capable to monitor the load balancing condition of the machine
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