| Literature DB >> 22436555 |
Andréa Dâmaso Bertoldi1, Ana Paula Helfer, Aline L Camargo, Noêmia U L Tavares, Panos Kanavos.
Abstract
BACKGROUND: To evaluate medicine prices, availability and affordability in Brazil, considering the differences across three types of medicines (originator brands, generics and similar medicines) and different types of facilities (private pharmacies, public sector pharmacies and "popular pharmacies").Entities:
Mesh:
Substances:
Year: 2012 PMID: 22436555 PMCID: PMC3511298 DOI: 10.1186/1744-8603-8-6
Source DB: PubMed Journal: Global Health ISSN: 1744-8603 Impact factor: 4.185
Mean availability (%) of medicines1 in the public sector (n = 22 facilities)
| Porto Alegre | 30 | 23.3 | 41.9 | 55.8 | 41.9 |
| Santa Cruz do Sul | 38 | 14.5 | 31.6 | 59.9 | 39.7 |
| Caxias do Sul | 35 | 17.1 | 32.5 | 62,9 | 39.5 |
| São Leopoldo | 33 | 13.6 | 31.3 | 69.7 | 43.2 |
| Pelotas | 32 | 8.9 | 21.0 | 61.7 | 39.6 |
| Bagé | 26 | 11.5 | 27.6 | 70.2 | 38.1 |
1Only medicines included in the list of essential medicines within each city were included in this analysis.
2Mean avalability %3Standard deviation %.
Sample of six cities from the Rio Grande do Sul state, Brazil, 2008-9.
Mean availability (%) and price of the 36 medicines dispensed by the Popular Pharmacy (n = 4 facilities)
| | ||||||
|---|---|---|---|---|---|---|
| Porto Alegre | 8 | 3.63 (1.30–11.41) | 22.2 (42.2) | 25 | 2.61 (0.33–15.17) | 69.4 (46.7) |
| Caxias do Sul | 8 | 2.88 (1.30–11.41) | 22.2 (42.2) | 25 | 2.61 (0.33–15.17) | 69.4 (46.7) |
| São Leopoldo | 7 | 2.64 (1.30–11.41) | 19.4 (40.1) | 28 | 2.86 (0.33–15.17) | 77.8 (42.2) |
| Bagé | 6 | 4.12 (1.30–11.41) | 16.7 (37.8) | 29 | 2.61 (0.33–15.17) | 80.6 (40.1) |
| Total | 10 | 2.88 (1.30–11.41) | 20.1 (35.8) | 31 | 2.64 (0.33–15.17) | 74.3 (38.0) |
1 Number of medicines included in the analysis of the MPR.
2MPR median price ratios (= median prices / IRP) → IRP international reference prices (MSH, 2007).
Sample of six cities from the Rio Grande do Sul state, Brazil, 2008-9.
Mean availability (%) of medicines and prices in the private sector (n = 30 pharmacies)
| Porto Alegre | 23 | 17.06 (2.70–94.58) | 57.6% (37.6%) | 21 | 9.97 (0.93–34.36) | 63.3% (28.6%) | 18 | 15.61 (3.17–37.87) | 54.4% (33.1%) |
| Santa Cruz do Sul | 18 | 25.99 (2.60–87.57) | 57.6% (30.1%) | 11 | 9.88 (0.85–37.76) | 68.8% (22.8%) | 23 | 18.34 (1.88–32.49) | 39.2% (32.8%) |
| Caxias do Sul | 17 | 30.63 (2.70–94.68) | 58.0% (23.3%) | 25 | 11.33 (0.93–48.92) | 71.2% (25.6%) | 14 | 12.40 (1.86–37.48) | 47.2% (30.4%) |
| São Leopoldo | 15 | 29.40 (4.90–66.45) | 48.4% (28.3%) | 17 | 8.42 (0.85–33.93) | 65.6% (26.3%) | 17 | 8.18 (2.75–38.82) | 52.0% (31.6%) |
| Pelotas | 35 | 19.08 (2.70–107.47) | 75.6% (26.9%) | 34 | 9.76 (0.87–48.95) | 85.6% (25.3%) | 10 | 9.36 (2.94–22.37) | 41.2% (27.5%) |
| Bagé | 46 | 16.73 (1.32–162.53) | 91.0% (15.7%) | 39 | 9.55 (0.36–49.82) | 88.4% (20.6%) | 20 | 8.81 (1.26–36.45) | 54.8% (33.3%) |
| All | 49 | 18.66 (1.36–168.41) | 64.8% (22.8%) | 42 | 11.32 (0.84–54.94) | 73.8% (18.8%) | 45 | 8.60 (1.11–38.84) | 48.1% (26.8%) |
1 N = Total number of medicines included in the analysis. To calculate the MPR, we only included medicines which were available on at least four facilities.
2MPR median price ratios (= median prices / IRP) → IRP international reference prices (MSH, 2007).
3 Mean avalability % (standard deviation).
Sample of six cities from the Rio Grande do Sul state, Brazil, 2008-9.
Figure 1Median price differences for matched pairs of medicines. Median price difference (%) of generic and similar medicines in relation to originator brand medicines in the private sector for matched pairs of medicines available on at least one facility. Sample of six cities from the Rio Grande do Sul state, Brazil, 2008–9.
Figure 2Affordability of selected medicines. Affordability of generic, originator brand and similar medicines using a list of selected medicines. Sample of six cities from the Rio Grande do Sul state, Brazil, 2008–9. * Generic medicines of the salbutamol 0.1 mg/dose inhaler were not available at the time of data collection.