Table 7.

Results of univariate logistic regression analyses for dissatisfaction with My Kanta^a,b.

Univariate analyses characteristicsc		ORd (95% CI)		P valuee
Sociodemographic characteristics
	Age (years)	0.99 (0.99–1.01)	.33
	Gender (male)	1.31 (0.95–1.82)	.09
	Low educational level	Reference	N/Af
	Median educational level	0.72 (0.49–1.06)	.09
	High educational level	1.11 (0.76–1.62)	.58
Degree of urbanization
	Rural	Reference	N/A
	Semiurban	1.04 (0.60–1.79)	.89
	Urban	1.08 (0.72–1.61)	.72
Health and service use
	Self-rated health (average or poor)	2.45 (1.79–3.36)	<.001
	Long-term illness (yes)	1.34 (0.95–1.88)	.09
	Use of health care services (high)	1.29 (0.76–2.21)	.35
Experiences of guidance concerning electronic services
	Referral to electronic services (no)	1.17 (0.82–1.67)	.38
	Need for guidance (yes)	2.98 (1.83–4.85)	<.001
Variables related to digital skills and attitudes
	Digital skills (poor)	1.63 (0.88–3.03)	.12
	Perceived benefits (no)	1.79 (1.30–2.47)	<.001
	Security concerns (yes)	2.24 (1.61–3.13)	<.001

^aInverse probability weighting (IPW)-corrected.

^bThe model included the main effect of each variable adjusted for age, gender, and education.

^cReference categories indicated in the parentheses: gender: male vs female; self-rated health: average or poor vs good; long-term illness: yes vs no; use of health care services: high vs average or low; referral to electronic services: no vs yes; need for guidance: yes vs no; digital skills: poor vs good; perceived benefits: no vs yes; security concerns: yes vs no.

^dOR: odds ratio.

^eSignificance level of P<.10.

^fN/A: not applicable.