Proportion of adherent patientsa according to residential area before and after the adjustment
| District | N (%) | Adherent patient |
Crude proportion of adherent patient | Adjusted proportion of adherent patient |
Adjusted proportion of adherent patient |
|---|---|---|---|---|---|
| Jongno-gu | 580 (1.6) | 380 | 65.5 | 65.1 | 68.7 |
| Jun-gu | 494 (1.4) | 350 | 70.9 | 70.6 | 68.7 |
| Yongsan-gu | 875 (2.5) | 595 | 68.0 | 67.6 | 69.5 |
| Seongdong-gu | 1,117 (3.2) | 801 | 71.7 | 71.7 | 74.3 |
| Gwangjin-gu | 1,220 (3.4) | 853 | 69.9 | 69.6 | 70.4 |
| Dongdaemun-gu | 1,300 (3.7) | 870 | 66.9 | 68.1 | 67.6 |
| Jungnang-gu | 1,501 (4.2) | 1,045 | 69.6 | 71.1 | 71.6 |
| Seongbuk-gu | 1,721 (4.9) | 1,190 | 69.1 | 69.4 | 69.6 |
| Gangbuk-gu | 1,265 (3.6) | 843 | 66.6 | 68.0 | 68.7 |
| Dobong-gu | 1,374 (3.9) | 970 | 70.6 | 70.5 | 71.2 |
| Nowon-gu | 2,178 (6.1) | 1,486 | 68.2 | 69.6 | 69.2 |
| Eunpyeong-gu | 1,716 (4.8) | 1,194 | 69.6 | 70.1 | 69.9 |
| Seodaemun-gu | 1,214 (3.4) | 852 | 70.2 | 69.8 | 70.5 |
| Mapo-gu | 1,309 (3.7) | 923 | 70.5 | 70.0 | 68.7 |
| Yangcheon-gu | 1,693 (4.8) | 1,148 | 67.8 | 66.8 | 67.4 |
| Gangseo-gu | 1,968 (5.6) | 1,328 | 67.5 | 68.9 | 68.5 |
| Guro-gu | 1,501 (4.2) | 1,052 | 70.1 | 69.6 | 70.8 |
| Geumcheon-gu | 831 (2.3) | 546 | 65.7 | 67.7 | 68.3 |
| Yeongdeungpo-gu | 1,474 (4.2) | 1,008 | 68.4 | 68.5 | 68.7 |
| Dongjak-gu | 1,360 (3.8) | 955 | 70.2 | 69.6 | 69.9 |
| Gwanak-gu | 1,735 (4.9) | 1,134 | 65.4 | 65.5 | 63.2 |
| Seocho-gu | 1,443 (4.1) | 996 | 69.0 | 67.0 | 65.4 |
| Gangnam-gu | 1,915 (5.4) | 1,318 | 68.8 | 67.9 | 68.7 |
| Songpa-gu | 2,164 (6.1) | 1,546 | 71.4 | 70.0 | 68.7 |
| Gangdong-gu | 1,530 (4.3) | 1,099 | 71.8 | 71.0 | 68.7 |
Values are presented as percent only or number (%).
aPatients with medication possession ratio≥80%. bAdjusted for individual factors (age, sex, severity of disability, income level, insurance coverage, cost of antihypertensive drugs, prescription period). cAdjusted for individual and regional factors (number of hospital beds/1,000, number of hospitals and pharmacies, number of tertiary hospitals, number of general hospitals, number of clinics, GDP of each region).
P<0.05.