Table 4.

Binary logistics regression: effect of socio-demographic factors on familiarity of robotic-assisted surgery.

Variable		OR	CI	p-value
Age	18–24	1
	25–34	3.744	0.233–60.077	0.351
	35–44	1.117	0.073–16.988	0.937
	45–54	1.859	0.125–27.689	0.653
	54–64	1.174	0.080–17.143	0.907
	65 and above	0.709	0.048–10.531	0.803
Gender	Females	1
	Males	0.689	0.466–0.889	0.02*
Nationality	Non-Saudi	1
	Saudi	1.751	1.159–2.644	0.008*
Region in Saudi Arabia	Central	1
	Eastern	1.02	0.569–1.828	0.947
	Western	0.965	0.577–1.613	0.89
	Northern	0.571	0.230–1.414	0.226
	Southern	0.805	0.496–1.312	0.386
Marital status	Divorced	1
	Married	0.891	0.274–1.34	0.999
	Single	1.012	2.31–0.76	0.999
	Widowed	0.311	0.109–0.826	0.999
Education level	Bachelor’s degree	1
	Diploma	0.468	0.268–0.816	0.007*
	High school or lower	0.68	0.345–1.341	0.266
	Postgraduate degree	0.451	0.227–0.894	0.022*
Work field	Health care field	1
	Not healthcare field	0.81	0.232–1.72	0.017*
	Not working	1.221	0.643–2.320	0.542
	Retired	1.511	0.786–2.904	0.215
	Student	0.974	0.287–3.300	0.966
Monthly Income	Below 6,000	1
	6,000–15,000	1.485	0.950–2.321	0.008*
	Above 15,000	1.495	0.867–2.576	0.148
Technological literacy	Competent	1
	Literate	1.319	0.918–1.895	0.135
	Illiterate	0.564	0.313–1.018	0.049*
Hours spent on an electronic device	Less than 4 h	1
	5–9 h	1.155	0.710–1.879	0.561
	10–15 h	1.263	0.861–1.852	0.232
	More than 15 h	1.96	0.847–4.533	0.116

*Denotes significant p values <0.05.