Missing data is a common aspect of clinical studies. In Datacapt, you can easily declare specific fields or entire forms as missing, and monitor these declarations throughout the study. This guide explains how to declare missing data manually or in bulk, and how to review it using the dashboard.
Pre-requisite: Only users with data entry permissions can access and use the missing data declaration functionality in the eCRF.
Declaring a Data Point as Missing
When a specific field cannot be completed (e.g., the information is unknown or not applicable), you can mark it as missing directly from the form.
🛠️ Step-by-step guide
How to declare a missing data point
How to declare a missing data point
Navigate to your EDC clinical study,
Go to the eCRF "Inclusion List",
Open an eCRF,
Navigate to the data point,
Open the options using the three dots,
Select "Missing, Unknown",
Select a standard option and add a comment,
Select "Submit".
How to declare multiple missing data declaration (in bulk)
How to declare multiple missing data declaration (in bulk)
Navigate to your EDC clinical study,
Go to the eCRF "Inclusion List",
Open an eCRF,
Navigate to the form,
Select the bulk option using the icon
Select a standard option and add a comment,
Select "Submit".
Notes :
A data point declared as missing will be coded in the final data export, while a blank cell indicates data not declared as missing.
Missing data codes correspond to the following:
Not Done →
.NDNot Applicable →
.NAUnknown →
.UNKNot Asked →
.NASKAsked but Unknown →
.ASKU
💡Tip: It is possible to declare an entire visit as missing (e.g., due to lost to follow-up) by using the left panel and selecting the bulk action directly under the visit name.
Missing Data Dashboard
🛠️ Step-by-step guide
How to use the missing data dashboard
How to use the missing data dashboard
Navigate to your EDC clinical study,
Go to the eCRF "Monitoring" section,
Open the "Missing Data" tab,
Apply filters to refine your search,
Navigate to a question using the icon