Skip to main content
. 2024 Mar 13;41:102680. doi: 10.1016/j.pmedr.2024.102680

Table 3.

Analysis of factors influencing the reduction in healthcare utilization among individuals with chronic conditions receiving ongoing treatment from 2018 to 2019 to 2020–2021.

Variables (reference) Point Estimate
95 Wald Confidence Limits
p-value
Point Estimate
95 Wald Confidence Limits
p-value
(Model 1) (Model 2)
Sex (Male) Female 1.04 1.03 1.04 <0.0001 1.04 1.04 1.05 <0.0001
Age (under 40 s) 40 s 0.96 0.94 0.98 0.0593 0.95 0.93 0.98 <0.0001
50 s 0.94 0.93 0.96 <0.0001 0.96 0.94 0.99 <0.0001
60 s 0.91 0.90 0.93 <0.0001 0.95 0.93 0.98 <0.0001
over 70 s 1.01 1.00 1.03 <0.0001 1.06 1.03 1.09 <0.0001
Region (Gyeonggi) Seoul 0.95 0.95 0.96 <0.0001 0.94 0.93 0.95 <0.0001
Busan 0.98 0.97 0.98 <0.0001 0.96 0.95 0.97 <0.0001
Daegu 1.02 1.01 1.02 0.5956 1.01 0.99 1.02 0.1139
Incheon 1.01 1.00 1.02 0.0353 1.02 1.00 1.04 0.8731
Gwangju 0.91 0.90 0.92 <0.0001 0.91 0.89 0.94 <0.0001
Deajeon 1.04 1.03 1.05 0.0002 1.05 1.02 1.07 0.0145
Ulsan 1.02 1.01 1.04 0.4147 1.04 1.01 1.06 0.1707
Sejong 1.08 1.05 1.11 <0.0001 1.09 1.03 1.15 0.0085
Gangwon 1.09 1.08 1.10 <0.0001 1.09 1.07 1.11 <0.0001
Chungbuk 1.06 1.05 1.07 <0.0001 1.08 1.06 1.10 <0.0001
Chungnam 1.06 1.05 1.07 <0.0001 1.08 1.06 1.10 <0.0001
Jeonbuk 1.03 1.02 1.04 0.0134 1.03 1.02 1.05 0.1062
Jeonnam 1.01 1.00 1.02 0.4759 1.01 0.99 1.03 0.1432
Geyongbuk 1.06 1.05 1.07 <0.0001 1.06 1.04 1.07 <0.0001
Gyeongnam 1.01 1.01 1.02 0.3824 1.01 1.00 1.03 0.428
Jeju 0.98 0.96 0.99 <0.0001 0.98 0.95 1.01 0.004
Insurance Level (Q5) Medicaid 1.13 1.12 1.14 <0.0001 1.08 1.06 1.09 <0.0001
Q1 0.99 0.98 0.99 <0.0001 0.97 0.96 0.98 <0.0001
Q2 0.99 0.99 1.00 <0.0001 0.98 0.97 0.99 <0.0001
Q3 1.00 0.99 1.00 <0.0001 0.99 0.98 1.00 0.006
Q4 1.00 0.99 1.00 <0.0001 0.99 0.98 1.00 0.0513
Disability (none) Yes 1.069 1.058 1.08 1.07
CCI(1) 2 1.056 1.045 1.067 1.06
3 1.147 1.117 1.178 1.15
Number of family members (1) 2 1.001 0.992 1.011 1.00
3–4 1.007 0.998 1.017 1.01
Over 5 0.999 0.987 1.011 1.00