Methods: A multicentre cross-sectional study was conducted in 12 government hospitals accredited for housemanship training within the central zone of Malaysia. The study included a total of 1,074 house officers who had been working for at least 6 months in various housemanship rotations. The Negative Acts Questionnaire-Revised (NAQ-R) was used to examine workplace bullying.
Results: The 6-month prevalence of workplace bullying among study participants was 13%. Work-related bullying such as 'being ordered to do work below your level of competence', person-related bullying such as 'being humiliated or ridiculed in connection with your work', and physically intimidating bullying such as 'being shouted at or being the target of spontaneous anger' were commonly reported by study participants. Medical officers were reported to be the commonest perpetrators of negative actions at the workplace. Study participants who graduated from Eastern European medical schools (adjusted odds ratio [AOR] 2.27; 95% confidence interval [CI]: 1.27, 4.07) and worked in surgical-based rotation (AOR 1.83; 95% CI: 1.13, 2.97) had higher odds of bullying compared to those who graduated from local medical schools and worked in medical-based rotation, whereas study participants with good English proficiency (AOR 0.14; 95% CI: 0.02, 0.94) had lower odds of bullying compared to those with poor English proficiency.
Conclusion: The present study shows that workplace bullying is prevalent among Malaysian junior doctors. Considering the gravity of its consequences, impactful strategies should be developed and implemented promptly in order to tackle this serious occupational hazard.
METHODS: The integration of object-oriented programming and a Model Oriented Simultaneous Engineering System were used to design the architecture of the decision support system.
RESULTS: Validation of the decision support system was carried out in two manufacturing companies. The validation process showed that the decision support system produced reliable results.
CONCLUSION: The decision support system is a reliable advisory tool for providing analysis and solutions to problems related to the discomfort and muscle fatigue associated with prolonged standing. Further testing of the decision support system is suggested before it is used commercially.
Methods: This project designed a safety vest incorporated with metal detectors which can provide immediate warning to the field workers when there is metal hazard around. This product has greater freedom of design via smart manufacturing as it involves the assembly of few commercially available parts into a single entity. Briefly, the metal detector is a do it yourself (DIY) kit, and the safety vest is purchasable from any local market. The DIY kit was connected to a copper coil and being sewed into the safety vest.
Results: The metal detector induces beeping sound when there is metal hazard around. A total of 121 engineering students were introduced to the prototype before being requested to answer a survey associated with the design. Respondents have rated >3.00/5.00 for the design simplicity, ease of usage, and light weight. Meanwhile, respondents suggested that the design should be further improved by increasing the metal detection range.
Conclusion: It is envisaged that the introduction of this smart safety vest will allow the workers to carry out their duties securely by reducing the accident rates. Particularly, such design is expected to reduce workplace accident especially during night time at construction sites where the visibility is low.