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and captured directly on the data collection form using questions with a simple 'yes' or 'no' answer and in case of a relapse the date when relapse was first noticed.
o Change "Prepared by" on the data collection form to "DR name" to match the database.
Responses were changed manually on the data collection form before data entry.
Moreover, no personal identifiers were used on the data collection form.
Risk factors were recorded using a checklist of risk factors listed on the data collection form.
Any other adverse events could be recorded freely on the data collection form.
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Patient names were not recorded on any of the data collection forms, and each patient record was assigned a unique identifying number.
They received training on filling the data collection form, as well as to ask questions about the current diarrheal episode (duration of diarrhoea, fever, vomiting, presence of blood in stools).
We considered missing data not to be at random and therefore not ignorable since we suspected that the frequency of missing data might vary depending on the individual completing the data collection form and the acuity of the intubation event.
To limit the added workload on already busy clinical staff, the data collection form was integrated into the documentation workflow by combining it with the existing patient physical assessment forms.
We did not specifically collect data regarding malignant transformation but no such information was volunteered on the data collection forms for the 118 patients.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com