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. 2019 Jan 4;52(1):41–50. doi: 10.3961/jpmph.18.166

Table 4.

Multiple logistic regression analysis of utilization of the 5 largest hospitals and the other tertiary hospitals in Seoul

Five largest hospitals
The other tertiary hospitals
Incident episodes Prevalent episodes Incident episodes Prevalent episodes
Episode type
 Medical 1.00 (reference) 1.00 (reference) 1.00 (reference) 1.00 (reference)
 Surgical 1.31 (1.30, 1.32) 2.01 (1.99, 2.02) 0.94 (0.93, 0.95) 0.81 (0.80, 0.82)
Sex
 Male 1.27 (1.26, 1.28) 1.16 (1.15, 1.16) 0.83 (0.82, 0.84) 0.85 (0.85, 0.86)
 Female 1.00 (reference) 1.00 (reference) 1.00 (reference) 1.00 (reference)
Age (y)
 0-29 5.48 (5.40, 5.56) 7.18 (7.08, 7.28) 0.77 (0.75, 0.79) 0.55 (0.54, 0.57)
 30-39 2.11 (2.08, 2.14) 2.34 (2.30, 2.37) 1.42 (1.40, 1.45) 1.11 (1.08, 1.13)
 40-49 1.77 (1.75, 1.79) 1.83 (1.81, 1.84) 1.31 (1.29, 1.33) 1.15 (1.13, 1.17)
 50-59 1.79 (1.78, 1.81) 1.77 (1.76, 1.79) 1.22 (1.20, 1.23) 1.16 (1.15, 1.17)
 60-69 1.66 (1.65, 1.68) 1.60 (1.58, 1.61) 1.17 (1.16, 1.19) 1.16 (1.14, 1.17)
 ≥70 1.00 (reference) 1.00 (reference) 1.00 (reference) 1.00 (reference)
Income
 Medical Aid 1.00 (reference) 1.00 (reference) 1.00 (reference) 1.00 (reference)
 1 (lowest) 2.32 (2.28, 2.37) 2.13 (2.09, 2.16) 1.47 (1.44, 1.51) 1.31 (1.28, 1.34)
 2 2.45 (2.40, 2.49) 2.14 (2.10, 2.17) 1.46 (1.43, 1.50) 1.36 (1.33, 1.39)
 3 2.91 (2.86, 2.96) 2.59 (2.55, 2.63) 1.50 (1.47, 1.54) 1.33 (1.30, 1.36)
 4 3.65 (3.59, 3.72) 3.18 (3.13, 3.23) 1.55 (1.52, 1.59) 1.29 (1.26, 1.32)
 5 (highest) 4.92 (4.83, 5.01) 4.42 (4.36, 4.49) 1.57 (1.54, 1.61) 1.23 (1.21, 1.26)
 Missing 3.13 (3.05, 3.22) 2.69 (2.63, 2.75) 1.36 (1.31, 1.42) 1.32 (1.28, 1.36)
Residential area
 Seoul 4.57 (4.53, 4.62) 5.59 (5.53, 5.65) 18.77 (18.38, 19.16) 18.47 (18.07, 18.88)
 Gyeonggi, Incheon 1.78 (1.77, 1.80) 2.40 (2.38, 2.43) 3.95 (3.87, 4.04) 4.37 (4.27, 4.47)
 Chungbuk 2.70 (2.65, 2.74) 3.05 (3.00, 3.11) 2.91 (2.81, 3.01) 3.22 (3.11, 3.33)
 The Chungnam area1 2.03 (2.00, 2.06) 2.30 (2.27, 2.34) 2.39 (2.33, 2.46) 2.53 (2.46, 2.60)
 Gangwon 1.77 (1.74, 1.80) 1.91 (1.87, 1.94) 1.97 (1.90, 2.04) 1.86 (1.79, 1.93)
 Junbuk 1.26 (1.24, 1.29) 1.42 (1.40, 1.45) 1.39 (1.34, 1.44) 1.48 (1.42, 1.54)
 The Junnam area2 1.09 (1.07, 1.10) 1.16 (1.14, 1.18) 1.28 (1.25, 1.32) 1.36 (1.32, 1.40)
 The Gyeongbuk area3 1.23 (1.21, 1.24) 1.35 (1.33, 1.37) 1.31 (1.28, 1.35) 1.47 (1.43, 1.51)
 The Gyeongnam area4 1.00 (reference) 1.00 (reference) 1.00 (reference) 1.00 (reference)
 Jeju 1.77 (1.73, 1.82) 1.73 (1.68, 1.78) 1.71 (1.62, 1.80) 1.55 (1.46, 1.65)
Residential area type
 Urban 0.79 (0.79, 0.80) 0.80 (0.80, 0.81) 0.59 (0.58, 0.60) 0.60 (0.59, 0.61)
 Suburban 1.09 (1.08, 1.10) 1.07 (1.05, 1.08) 1.02 (1.00, 1.04) 1.04 (1.02, 1.06)
 Rural 1.00 (reference) 1.00 (reference) 1.00 (reference) 1.00 (reference)
Time period
 Before policy 1.00 (reference) 1.00 (reference) 1.00 (reference) 1.00 (reference)
 After policy 1.14 (1.14, 1.15) 1.13 (1.12, 1.13) 0.97 (0.96, 0.98) 0.94 (0.93, 0.95)

Values are presented as odds ratio (95% confidence interval).

1

Daejeon, Sejeong, Chungnam.

2

Gwangju, Jeonnam.

3

Daegu, Gyeongbuk.

4

Busan, Ulsan, Gyeongnam.