Table 1. Prevalence of use of at least one generic medicine according to demographic and socioeconomic characteristics. PNAUM, Brazil, 2014.
| Variable | Prevalence of use of genericsa | ||
|---|---|---|---|
|
| |||
| %b | 95%CI | p | |
| Sex | 0.013 | ||
| Male | 43.1 | 40.5–45.8 | |
| Female | 47.0 | 44.9–49.0 | |
| Age (years) | < 0.001 | ||
| 0-9 | 33.5 | 29.1–37.8 | |
| 10-19 | 33.0 | 26.8–39.2 | |
| 20-59 | 43.6 | 41.5–45.7 | |
| ≥ 60 | 56.2 | 54.1–58.3 | |
| Education levelc | 0.819 | ||
| 0-8 years | 45.5 | 43.4–47.6 | |
| 9-11 years | 44.4 | 40.4–48.3 | |
| ≥ 12 years | 45.9 | 43.1–48.6 | |
| Economic classificationd | 0.040 | ||
| A/B | 42.6 | 39.5–45.7 | |
| C | 47.0 | 44.9–49.1 | |
| D/E | 44.6 | 41.3–48.0 | |
| Region | < 0.001 | ||
| North | 32.7 | 28.5–37.0 | |
| Northeast | 37.9 | 35.8–40.0 | |
| Southeast | 49.9 | 46.8–53.0 | |
| South | 50.6 | 46.6–54.6 | |
| Midwest | 45.1 | 41.9–48.4 | |
|
| |||
| Total | 45.5 | 43.7–47.3 | - |
a Only medicines whose packages were shown in the interview allowed the classification as a generic, which corresponds to 63.2% of the medicines. The prevalence was calculated among those who presented at least one package of their medicines (n = 16,316 people).
b Percentages adjusted by sample weights and post-stratification according to age and sex.
c The education level variable presents 278 missings.
d The economic classification variable according to the Brazilian Economic Classification Criterion 2013 of the Associação Brasileira de Empresas de Pesquisa (http://www.abep.org) presents 77 missings.