Effect of health insurance on delivery care utilization and perceived delays and barriers among southern Thai women

Table 4 Final logistic regression model identifying factors associated with the perception of delays and barriers for reaching hospital care

Factors	Delay in reaching care N = 2815		Barrier to reaching care N = 2818
	Adjusted OR (95% CI)	p-value*	Adjusted OR (95% CI)	p-value*
Type of payment (Ref = Out-of-pocket)
UCS	0.6 (0.4-0.8)	0.002	0.8 (0.6-1.1)	0.15
SSS	0.6 (0.4-0.9)	0.02	0.9 (0.6-1.2)	0.42
CSMBS	0.6 (0.4-1.1)	0.13	0.7 (0.4-1.1)	0.09
Education (Ref = Secondary school or higher)
Primary school or less			1.7 (1.3-2.2)	<0.001
Monthly family income (Ref = More than 330 USD)
330 or less	1.6 (1.1-2.2)	0.01
Condition of the road (Ref = Good)
Poor			3.6 (2.7-4.9)	<0.001
Means of transportation to hospital (Ref = Family/self-owned vehicle)
Friend's vehicle			1.6 (1.2-2.0)	0.001
Public transportation			2.5 (1.6-3.9)	<0.001
Transportation management problems (Ref = No)
No	2.8 (1.6-4.8)	<0.001

UCS: Universal Coverage Scheme; SSS: Social Security Scheme; CSMBS: Civil Servant Medical Benefit Scheme; OR: Odds ratio; CI: Confidence Interval
*Wald's test

ISSN: 1471-2458