There are a number of errors in the Year and Age values of Table 1. Please see the correct Table 1 here.
Table 1. The population demographic characteristics of included prescriptions from 2013 to 2017.
| Year | 2013 | 2014 | 2015 | 2016 | 2017 |
|---|---|---|---|---|---|
| Age | |||||
| 18–39 | 1076 (7.79) | 1196 (7.87) | 1263 (7.90) | 1648 (8.57) | 1694 (8.44) |
| 40–49 | 1134 (8.21) | 1197 (7.88) | 1304 (8.15) | 1604(8.34) | 1794 (8.94) |
| 50–59 | 2324 (16.83) | 2463 (16.20) | 2439 (15.25) | 3035 (15.78) | 3139 (15.65) |
| 60–69 | 3775 (27.34) | 4156 (27.34) | 4557(28.49) | 5524 (28.72) | 5828 (29.05) |
| 70 up | 5499 (39.82) | 6188 (40.71) | 6434 (40.22) | 7421 (38.59) | 7605 (37.91) |
| Sex | |||||
| Male | 8900 (46.12) | 9677 (46.67) | 9856 (45.85) | 12408 (46.39) | 12894 (45.84) |
| Female | 10397 (53.88) | 11057 (53.33) | 11642 (54.15) | 14342 (53.61) | 15237 (54.16) |
Data are represented as number of patients (%).
Reference
- 1.Yu L, Ding K, Luo L, Yu Z (2020) Prescribing trends of glaucoma drugs in six major cities of China from 2013 to 2017. PLoS ONE 15(1): e0227595 10.1371/journal.pone.0227595 [DOI] [PMC free article] [PubMed] [Google Scholar]