| Literature DB >> 29961008 |
Sang Uk Lee1,2, Vin Ryu1, Minah Soh1, Chul-Eung Kim1, Subin Park1, Sungwon Roh3, In-Hwan Oh2, Hye-Young Lee1, SungKu Choi1.
Abstract
OBJECTIVES: To determine changes in antipsychotic drug usage in all South Korean patients with schizophrenia in 2011-2015 and factors affecting their utilisation in 2015. DESIGN ANDEntities:
Keywords: antipsychotics; schizophrenia; typical drugs
Mesh:
Substances:
Year: 2018 PMID: 29961008 PMCID: PMC6042567 DOI: 10.1136/bmjopen-2017-020280
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Subject selection flow chart.
Number of patients with schizophrenia and antipsychotics prescription pattern in 2011–2015
| Schizophrenia | 2011 | 2012 | 2013 | 2014 | 2015 |
| n (%)=171 302 | n (%)=175 488 | n (%)=177 763 | n (%)=180 079 | n (%)=183 427 | |
| Average age (year) | 46.2 | 46.8 | 47.3 | 47.9 | 48.5 |
| Total drugs | 1 767 500 | 1 933 179 | 1 971 744 | 1 994 756 | 2 016 305 |
| First gen. | 195 147 (11.04) | 197 432 (10.21) | 183 554 (9.31) | 165 606 (8.30) | 151 860 (7.53) |
| 1+1 combi | 203 485 (11.51) | 193 162 (9.99) | 180 141 (9.14) | 165 250 (8.28) | 150 459 (7.46) |
| 1+2 combi | 348 736 (19.73) | 381 038 (19.71) | 397 294 (20.15) | 401 483 (20.13) | 408 454 (20.26) |
| Second gen. | 595 689 (33.70) | 661 154 (34.20) | 663 118 (33.63) | 660 788 (33.13) | 656 942 (32.58) |
| 2+2 combi | 385 061 (21.79) | 450 116 (23.28) | 492 309 (24.97) | 541 465 (27.14) | 584 469 (28.99) |
| LAI+drug | 36 279 (2.05) | 40 438 (2.09) | 42 236 (2.14) | 44 989 (2.26) | 47 968 (2.38) |
| LAI | 3103 (0.18) | 9839 (0.51) | 13 092 (0.66) | 15 175 (0.76) | 16 153 (0.80) |
Combi, Combination therapy of two or more antipsychotics drugs; LAI, Long-acting injection.
Sociodemographic factors of patients with schizophrenia divided with regard to the type of antipsychotic used
| Characteristics | Categories | Typical (n=25 579) | Atypical (n=1 13 949) | Total | P values |
| n (%) or M±SD | n (%) or M±SD | ||||
| Sex | Women | 11 961 (16.77) | 59 359 (83.23) | 71 320 (100.0) | <0.0001 |
| Men | 13 618 (19.97) | 54 590 (80.03) | 68 208 (100.0) | ||
| Age | 52.83 ±10.92 | 47.58 ±14.39 | 48.55±13.12 | <0.0001 | |
| Region | |||||
| Metropolitan region | Seoul | 3963 (13.82) | 24 711 (86.18) | 28 674 (100.0) | <0.0001 |
| Incheon | 969 (16.60) | 4867 (83.40) | 5836 (100.0) | ||
| Gyeonggi | 4420 (17.24) | 21 217 (82.76) | 25 637 (100.0) | ||
| Gangwon | Gangwon | 716 (17.40) | 3400 (82.60) | 4116 (100.0) | |
| Chungcheong | Daejeon | 1068 (21.83) | 3825 (78.17) | 4893 (100.0) | |
| Chungbuk | 1036 (19.35) | 4319 (80.65) | 5355 (100.0) | ||
| Chungnam | 1078 (19.29) | 4509 (80.71) | 5487 (100.0) | ||
| Jeolla | Kwangju | 647 (16.72) | 3223 (83.28) | 3870 (100.0) | |
| Jeonbuk | 1727 (29.75) | 4078 (70.25) | 5805 (100.0) | ||
| Jeonnam | 1595 (22.51) | 5491 (77.49) | 7086 (100.0) | ||
| Gyeongsang | Busan | 2749 (23.95) | 8731 (76.05) | 11 480 (100.0) | |
| Daegu | 1268 (15.22) | 7061 (84.78) | 8329 (100.0) | ||
| Ulsan | 400 (18.40) | 1774 (81.60) | 2174 (100.0) | ||
| Gyeongbuk | 1980 (22.12) | 6971 (77.88) | 8951 (100.0) | ||
| Gyeongnam | 1766 (17.36) | 8405 (82.64) | 10 171 (100.0) | ||
| Jeju | Jeju | 197 (12.60) | 1367 (87.40) | 1564 (100.0) | |
| Benefit | Medicaid | 8187 (9.57) | 77 353 (90.43) | 85 540 (100.0) | <0.0001 |
| Health insurance | 17 392 (32.21) | 36 596 (67.79) | 53 988 (100.0) | ||
| Medical institutions | Tertiary care hospital | 477 (2.94) | 15 739 (97.06) | 16 216 (100.0) | <0.0001 |
| General hospital | 1563 (7.69) | 18 759 (92.31) | 20 322 (100.0) | ||
| Primary hospital | 10 777 (18.05) | 48 917 (81.95) | 59 694 (100.0) | ||
| Long-term care hospital | 412 (15.96) | 2169 (84.04) | 2581 (100.0) | ||
| Clinic | 12 350 (30.33) | 28 365 (69.67) | 40 715 (100.0) |
OR of typical drug use by sociodemographic characteristics
| Characteristics | Categories | Typical | Atypical | OR (95% CI) |
| Sex* | Women | 11 961 | 59 359 | 1.00 (reference) |
| Men | 13 618 | 54 590 | 1.27 (1.228 to 1.303) | |
| Age† | 52.83 | 47.58 | 1.02 (1.020 to 1.022) | |
| Region‡ | Metropolitan region | 9352 | 50 795 | 1.00 (reference) |
| Gangwon | 716 | 3400 | 1.14 (1.045 to 1.254) | |
| Chungcheong | 3182 | 12 653 | 1.04 (0.985 to 1.087) | |
| Jeolla | 3969 | 12 792 | 1.32 (1.264 to 1.386) | |
| Gyeongsang | 8163 | 32 942 | 1.14 (1.097 to 1.179) | |
| Jeju | 197 | 1367 | 0.62 (0.530 to 0.733) | |
| Benefit§ | Health insurance | 8187 | 77 353 | 1.00 (reference) |
| Medicaid | 17 392 | 36 596 | 4.49 (4.349 to 4.641) | |
| Medical institutions¶ | Tertiary care hospital | 477 | 15 739 | 1.00 (reference) |
| General hospital | 1563 | 18 759 | 1.47 (1.317 to 1.635) | |
| Primary hospital | 10 777 | 48 917 | 3.26 (2.951 to 3.590) | |
| Long-term care hospital | 412 | 2169 | 3.00 (2.587 to 3.485) | |
| Clinic | 12 350 | 28 365 | 8.87 (8.060 to 9.762) |
*Adjusted for age, region, medical institutions and Medicaid benefit.
†Adjusted for sex, region, medical institutions and Medicaid benefit.
‡Adjusted for sex, age, medical institutions and Medicaid benefit.
§Adjusted for sex, age, region and medical institutions.
¶Adjusted for sex, age, region and Medicaid benefit.
Figure 2Typical drug use by sex in patients divided by the type of health insurance coverage. 1: Men, 2: Women. Adjusted for age, region and medical institutions.
Figure 3Typical drug use by age in patients divided by the type of health insurance coverage. 1: ≤19 years, 2: 20–29 years, 3: 30–39 years, 4: 40–49 years, 5: 50–59 years, 6: 60–69 years, 7: 70–79 years and 8: ≥80 years. Adjusted for sex, region and medical institutions.
Figure 4Typical drug use by region in patients divided by the type of health insurance coverage. 1: Metropolitan region, 2: Gangwon province, 3: Chungcheong province, 4: Jeolla province, 5: Gyeongsang province and 6: Jeju island. Adjusted for sex, age and medical institutions.
Figure 5Typical drug use by medical institutions in patients divided by the type of health insurance coverage. 1: Tertiary care hospital, 2: General hospital, 3: Primary hospital, 4: Long-term care hospital, and 5: Clinic. Adjusted for sex, age and region.