MI is most beneficial when dealing with datasets that have a moderate amount of missing data, typically between 5% and 30%. It is particularly useful when the missing data mechanism is either Missing at Random (MAR) or Missing Completely at Random (MCAR). In nursing research, MI can be applied to survey data, clinical trials, longitudinal studies, and electronic health records.
