Table 5.

Factors related to health services utilization of outpatients: logistic regression.

Variables			Model 1			Model 2			Model 3
b	SE	OR	b	SE	OR	b	SE	OR
Predisposing factors	Gender (male)	Female	1.17 *	1.31	3.22	1.20 *	1.37	3.31	1.14 †	1.33	3.12
	Age		−0.05 *	0.01	0.95	−0.05 *	0.02	0.96	−0.06 *	0.02	0.95
	Marital (single)	Married	2.45 †	7.77	11.63	2.16 *	6.09	8.69	2.12 *	5.91	8.3
		Others	1.36	3.31	3.9	1.07	2.5	2.93	1	2.37	2.72
Enabling factors	Education level (under elementary)	Middle & High				−0.3	0.37	0.74	−0.32	0.38	0.73
		Over college				−0.6	0.33	0.55	−0.61	0.34	0.54
	Household income (1-quantile)	2-quantile				−0.58	0.28	0.56	−0.59	0.29	0.56
		3-quantile				−0.13	0.51	0.88	−0.12	0.52	0.89
		4-quantile				0.22	0.79	1.24	0.21	0.8	1.23
		5-quantile				−0.36	0.42	0.7	−0.39	0.42	0.68
	Economic activity (no)	Yes				0.66	0.75	1.93	0.7	0.82	2.01
	Insurance (no)	Yes				0.56	1.06	1.76	0.48	1.03	1.62
Need factors	Chronic disease (no)	Yes							1.03 *	1.33	2.81
	Disability (no)	Yes							−0.83	0.23	0.44

^∗p < 0.1, ^†p < 0.05.

OR = odds ratio; SE = standard error.