Table I.

Dependent measures on efficiency, effectiveness, engagement and autosuggestion

Measures	Data collection	Evaluating dimensions	Methods
Efficiency-related
Completion time	Recorded at the millisecond level by interfaces	Time length of completing a narrative comment	Descriptive statistics, and t- test
Keystrokes	Recorded by interfaces	Keystroke counts of completing a comment	Descriptive statistics, and t- test
Text generation rate	Text length divided by completion time	The speed of text generation, at the unit of “letters/second”	Descriptive statistics, and t- test
Effectiveness-related
Text length	Recorded and calculated at the unit of letter	Text length (in letters) of a narrative comment	Descriptive statistics, and t- test
Text chunks	As demonstrated in Figure 1, pressing <enter> resulted in a tag in the text segment, i.e. text chunk	Number of text chunks in a comment field	Descriptive statistics
Chunk length	Text length divided by number of text chunks	Mean length of text chunks in a comment	Descriptive statistics
Reporting comprehensiveness	A blind review by two experts; reached an agreement when score difference > 1	Number of event characteristics described in the text	Expert review, descriptive statistics and t- test
Engagement-related
Non-adherence rate	Amount of unanswered commentary fields divided by amount of commentary fields in each group	Proportion of narrative comment fields that were ignored	Descriptive statistics, and Chi-squared test
AutoSuggestion (AS)-related
Influenced chunks by AS	Identified text contained in original AS	Number of text chunks that accepted the text suggested by AS	Descriptive statistics
AS influential rate	Number of influenced chunks divided by the number of total text chunks in a comment	Percentage of text chunks contained the text selected via AS rather than key in	Descriptive statistics