This approach is especially useful when data that require review are to be reviewed in a longitudinal manner (i.e. in order to review data obtained at visit 2 you need to also check data obtained at visit 1).
This is often the case when the interim analysis should include patients who have reached a given relevant study milestone (e.g. when a given number of patients has reached a specific study visit). The batch then contains those patients with a defined degree of completeness of their data sets, which can be analyzed in a meaningful way.
There are many circumstances, where patient data that has already been subject to review may need to be reviewed again – e.g., when the data were reviewed for a previous interim analysis up to a certain visit and need to be cleaned again prior final analysis. In such cases, it may be beneficial to program listings where only de novo entered or changed data are displayed.
However, keep in mind that the plausibility of certain data entries in the last visit may only be judged when also looking at the data from the first visit. Therefore, listings and data presentations that allow for both – a quick overview on new entries as well as the whole picture – may be the most useful approach.