This study aimed to evaluate practical barriers to personal protective equipment (PPE) use found through health care personnel (HCP) training sessions held during and after the 2015 Middle East respiratory syndrome outbreak in Korea. Difficulties observed were ill-fitting sizes, anxiety, confusion from unstandardized protocols, doubts about PPE quality and effectiveness, and complexity of using several PPE items together. Further research to generate robust evidence and repeated HCP trainings are necessary to ensure HCP and patient safety in future outbreaks.

Purpose The purpose of this paper is to identify the influence of the frequency of word exposure on online news based on the availability heuristic concept. So that this is different from most churn prediction studies that focus on subscriber data. Design/methodology/approach This study examined the churn prediction through words presented the previous studies and additionally identified words what churn generate using data mining technology in combination with logistic regression, decision tree graphing, neural network models, and a partial least square (PLS) model. Findings This study found prediction rates similar to those delivered by subscriber data-based analyses. In addition, because previous studies do not clearly suggest the effects of the factors, this study uses decision tree graphing and PLS modeling to identify which words deliver positive or negative influences. Originality/value These findings imply an expansion of churn prediction, advertising effect, and various psychological studies. It also proposes concrete ideas to advance the competitive advantage of companies, which not only helps corporate development, but also improves industry-wide efficiency.