Investigating the factors leading to medication communication errors from organizational and working conditional perspectives

Events related to medication errors and related factors involving nurses’ behavior to reduce medication errors in Japan: a Bayesian network modeling-based factor analysis and scenario analysis

“…2). This study, which applied the framework of a previous study [5], found that rather than miscommunication-related factors, broader and more specific nurse knowledge-and behavior-level factors were related to medication errors. Furthermore, we estimated the extent to which the occurrence of these events could be prevented if these factors were controlled.…”

“…We classified events and extracted factors from incident reports, following the steps of root cause analysis (RCA) in a previous study [5] and using a scheme that showed multiple types of factors that contributed to incidents. [6].…”

“…We assumed that the sample from the JQ database was representative and valid because it contained the largest number of medical institutions registered in Japan and had an appropriate incident report format. The validity of the qualitative analysis was ensured by referring to the RCA and factor schemes of previous studies [5][6]. Meanwhile, some rare events may have had an inaccurate influence on the flow model (Figure 2).…”

“…Jin et al [5] conducted a factor analysis of medication errors focusing on communication. They categorized the factors of each error event into organizational and conditional factors, and investigated the relationships between events and factors using a Bayesian network.…”

“…The framework of previous studies [5,6] was applied to obtain a broader classification of medication errors in order to analyze causative events and related factors. These findings contribute to the improvement of patient safety education.…”