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. 2019 Jul 5;16(13):2391. doi: 10.3390/ijerph16132391

Table 5.

Association between non-covered treatment and unmet medical needs according to sex, age, and medical type.

Class Category Model 1 Model 2 Model 3
OR 95% CI p OR 95% CI p OR 95% CI p
Sex Male Non-covered treatment Yes 1.37 1.13 1.66 0.002 1.30 1.06 1.59 0.011 1.47 1.19 1.82 0.000
No 1.00 1.00 1.00
Female Non-covered treatment Yes 1.00 0.85 1.18 0.969 0.99 0.83 1.18 0.915 1.11 0.93 1.33 0.244
No 1.00 1.00 1.00
Age 19–39 Non-covered treatment Yes 1.05 0.75 1.48 0.768 1.15 0.79 1.67 0.481 1.22 0.83 1.80 0.312
No 1.00 1.00 1.00
40–59 Non-covered treatment Yes 1.07 0.88 1.32 0.499 1.08 0.87 1.34 0.512 1.19 0.95 1.50 0.123
No 1.00 1.00 1.00
60≦ Non-covered treatment Yes 1.23 1.03 1.47 0.020 1.15 0.96 1.38 0.041 1.31 1.08 1.58 0.006
No 1.00 1.00 1.00
Type of medical TM Non-covered treatment Yes 0.91 0.68 1.22 0.554 0.83 0.61 1.14 0.261 0.9 0.65 1.23 0.517
No 1.00 1.00 1.00
WM Non-covered treatment Yes 1.22 1.06 1.40 0.004 1.19 1.02 1.37 0.019 1.33 1.15 1.55 0.000
No 1.00 1.00 1.00

Notes: Logistic regression analysis with complex sampling design was performed by adjusting for covariates. Odds ratios indicates odds ratio; 95% CI, 95% confidence interval. Model 1 was adjusted for sex, age, and marital status. Model 2 was adjusted by Model 1 variables + economic activity, monthly income, medical insurance type, private insurance, and non-covered treatment. Model 3 was adjusted by Model 2 variables + chronic disease, disability, regular exercise, pain, self-rated health status, and depression. Abbreviations: TM, Korean traditional medicine; WM, Western medicine; OR, odds ratio; 95% CI, 95% confidence interval.