Table 5.

Results of a generalized linear mixed-effects binomial logit model analyzing the influence of internet use on choosing self-care versus hospital care.

Effects		Model 1 (unadjusted model)		Model 2		Model 3
		Coefficient (95% CI)	P value	Coefficient (95% CI)	P value	Coefficient (95% CI)	P value
Fixed effects
	Intercept	0.70 (0.64 to 0.76)	<.001	0.72 (0.53 to 0.92)	<.001	0.55 (0.15 to 0.95)	.007
Online browsing (ref=No)
	Yes	–0.52 (–0.66 to 0.38)	<.001	–0.24 (–0.41 to –0.08)	.004	–0.20 (–0.37 to –0.02)	.03
Age (ref=18-44)
	45-59			0.16 (0.02 to 0.30)	.03	–0.01 (–0.16 to 0.14)	.91
	60-74			0.21 (0.06 to 0.37)	.008	–0.09 (–0.26 to 0.07)	.27
	≥75			0.34 (0.13 to 0.55)	.001	–0.05 (–0.28 to 0.17)	.64
Gender (ref=Female)
	Male			–0.05 (–0.16 to 0.06)	.40	–0.07 (–0.19 to 0.04)	.23
Time (ref=2006)
	2009			0.07 (–0.07 to 0.20)	.32	0.07 (–0.08 to 0.22)	.36
	2011			0.38 (0.25 to 0.51)	<.001	0.33 (0.18 to 0.48)	<.001
	2015			0.29 (0.16 to 0.43)	<.001	0.25 (0.10 to 0.40)	.001
Region (ref=Center)
	East			0.04 (–0.08 to 0.17)	.49	–0.02 (–0.15 to 0.11)	.76
	West			0.04 (–0.10 to 0.18)	.55	0.02 (–0.12 to 0.17)	.76
Residence site (ref=Rural)
	Urban			–0.60 (–0.71 to –0.49)	<.001	–0.71 (–0.82 to –0.60)	<.001
Marriage status (ref=Married)
	Others			–0.15 (–0.29 to –0.01)	.04	–0.15 (–0.30 to 0.003)	.046
Education level				–0.02 (–0.03 to 0.00)	.01	–0.01 (–0.03 to 0.001)	.08
Disease/injury severity (ref= Not severe )
	Somewhat severe					0.85 (0.74 to 0.95)	<.001
	Quite severe					1.49 (1.29 to 1.68)	<.001
Chronic diseases						0.32 (0.22 to 0.42)	<.001
Hypertension						0.01 (–0.001 to 0.02)	.09
Medical insurance (ref= No )
	Yes					0.03 (–0.13 to 0.19)	.73
BMI						–0.02 (–0.03 to 0.004)	.15
Random effect
	Intercept, variance	2.40	<.001	2.47	<.001	2.82	<.001