Table 5.

Past year healthcare access among those without any health insurance (HI) compared to those with different types of HI among the 50–64 age group: Results from binary logistic regression models.

	No HI vs.
	Private HI	VA/Military HI	Medicare w/o Medicaid	Medicare + Medicaid	Medicaid w/o Medicare
	AOR (95% CI)	AOR (95% CI)	AOR (95% CI)	AOR (95% CI)	AOR (95% CI)
Medical care delay/nonuse due to cost	7.27 (6.52–8.10)	15.48 (12.20–19.65)	4.65 (3.88–5.58)	14.87 (11.14–19.85)	7.20 (6.05–8.57)
Saw any healthcare professional	0.23 (0.20–0.25)	0.18 (0.14–0.22)	0.15 (0.12–0.18)	0.16 (0.11–0.22)	0.23 (0.19–0.28)
Saw general practitioner	0.28 (0.25–0.30)	0.23 (0.19–0.27)	0.23 (0.20–0.28)	0.26 (0.20–0.34)	0.27 (0.23–0.32)
Saw medical specialist	0.32 (0.28–0.36)	0.29 (0.24–0.35)	0.24 (0.20–0.29)	0.27 (0.21–0.35)	0.34 (0.29–0.41)
Saw dentist	0.25 (0.23–0.27)	0.28 (0.24–0.33)	0.41 (0.35–0.49)	0.44 (0.35-0.55)	0.52 (0.45–0.60)
Saw eye doctor	0.34 (0.31–0.37)	0.30 (0.26–0.35)	0.38 (0.32–0.44)	0.30 (0.24–0.38)	0.47 (0.40–0.54)
Visited Emergency Department	1.02(0.92–1.15) ǂ	0.74 (0.62–0.89)	0.68 (0.57–0.81)	0.63 (0.50–0.80)	0.62 (0.54–0.72)
Hospitalized	0.69 (0.57–0.82)	0.78 (0.60–1.01) ǂ	0.51 (0.39–0.65)	0.57 (0.43–0.76)	0.54 (0.43–0.69)

Note: Each cell represents the odds of healthcare delay/nonaccess or the specific type of healthcare access (shown in the first column) for those without any HI compared to those with the specific type of HI (shown in the second row), controlling for age, gender, race/ethnicity, marital status, education, income, work status, number of chronic medical conditions, and any functional limitation (vs. none). All odds are significant at p < 0.001 except those marked with ǂ (p > 0.050).