Table 1.

Pre- and post-electronic medical record survey tools’ characteristics.

Study construct	Dimensions	Pre- or post-measurement*	Survey tool	Number of questions	Response options
Well-being	Well-being	Pre and post	Well-Being Index[15]	5	5-point Likert scale (0 at no time − 4 Most of the time)
	Exhaustion, Cynicism, Reduced Efficiency	Pre and post	Maslach Burnout Inventory[16]	9	7-point Likert scale (0 Never − 6 Always)
Work engagement	Work satisfaction	Pre and post	Work Satisfaction[17]	1	Score out of 10 (1–10)
	Intention to stay (intention to leave and reverse-scored)	Pre and post	Intention to stay	1	Score out of 10 (1–10)
	Vigour, Dedication, Absorption	Pre and post	Utrecht Work Engagement Scale[18]	3	7-point Likert scale (0 Never − 6 Always)
	Team safety, Career trajectory satisfaction,	Pre and post	Psychological Safety questions[19] (adapted)	3 (2 team safety and 1 career trajectory satisfaction)	5-point Likert scale (1 Strongly Disagree − 5 Strongly agree)
Motivation to use technology	Perceived Competence, Relative Autonomy Index	Pre and post	Autonomy and Competence in Technology Adoption[20]	14	5-point Likert scale (1 Not all the time − 5 Very true)
Experience using electronic medical record	Competence, Autonomy, Relatedness	Post	Technology-based Experience of Need Satisfaction-Interface[20]	15	5-point Likert scale (1 Do not agree − 5 Strongly agree)
			Technology-based Experience of Need Satisfaction-Task[20]	12	5-point Likert scale (1 Do not agree − 5 Strongly agree)
			Technology-based Experience of Need Satisfaction-Life[20]	10	5-point Likert scale (1 Do not agree − 5 Strongly agree)
Participant demographics information	Age, Gender, Nurse classification, Years worked as a nurse, Highest level of education, Hours worked per fortnight, Work location, Site of the healthcare organisation	Pre and post	Demographics	8	Not applicable

* Pre- or post-EMR implementation.