| Literature DB >> 27143613 |
Vanessa Iribarrem Avena Miranda1, Anaclaudia Gastal Fassa1, Rodrigo Dalke Meucci2, Bárbara Heather Lutz2.
Abstract
OBJECTIVE: To assess the prevalence and factors associated with the use of the expanded Brazilian People's Pharmacy Program among older adults and the reasons for not using it.Entities:
Mesh:
Year: 2016 PMID: 27143613 PMCID: PMC4891182 DOI: 10.1590/S1518-8787.2016050006180
Source DB: PubMed Journal: Rev Saude Publica ISSN: 0034-8910 Impact factor: 2.106
Description of the sample of older adults who had used medications in the last 15 days according to demographic and socioeconomic variables stratified by age. Pelotas, RS, Southern Brazil, 2014. (N = 1,305)
| Variable | na | % | 95%CI | 60-79 years | 95%CI | ≥ 80 years | 95%CI | ||
|---|---|---|---|---|---|---|---|---|---|
|
|
| ||||||||
| n | % | n | % | ||||||
| Age | |||||||||
| 60-64 | 345 | 26.5 | 24.1–28.9 | - | - | - | - | - | - |
| 65-69 | 321 | 24.7 | 22.3–27.0 | - | - | - | - | - | - |
| 70 -79 | 418 | 32.1 | 29.6–34.7 | - | - | - | - | - | - |
| ≥ 80 | 217 | 16.7 | 14.6–18.7 | - | - | - | - | - | - |
| Sex | |||||||||
| Male | 459 | 35.2 | 32.6–37.8 | 388 | 35.8 | 32.9–38.6 | 70 | 32.3 | 25.9–38.5 |
| Female | 846 | 64.8 | 62.2–67.4 | 696 | 64.2 | 61.3–67.0 | 147 | 67.7 | 61.4–74.0 |
| Marital status | |||||||||
| Living without a partner | 620 | 47.6 | 44.9–50.3 | 468 | 42.6 | 39.6–45.5 | 158 | 72.8 | 66.8–78.7 |
| Living with a partner | 682 | 52.4 | 49.7–55.1 | 624 | 57.4 | 54.4–60.3 | 59 | 27.2 | 21.2–33.1 |
| Skin color/Race | |||||||||
| Nonwhite | 205 | 15.8 | 13.8–17.7 | 167 | 15.2 | 13.1–17.3 | 40 | 18.4 | 13.2–23.6 |
| White | 1,097 | 84.2 | 82.3–86.2 | 925 | 84.8 | 82.6–86.9 | 177 | 81.6 | 76.3–86.7 |
| Educational attainment (in years of schooling) | |||||||||
| 0 | 176 | 13.6 | 11.7–15.5 | 120 | 11 | 9.16–12.9 | 57 | 26.6 | 20.7–32.6 |
| ≤ 3 | 288 | 23.1 | 20.7–25.3 | 244 | 22.5 | 20.0–24.9 | 56 | 26.2 | 20.2–32.1 |
| 4-7 | 391 | 30.2 | 27.7–32.7 | 339 | 31.2 | 28.3–33.8 | 56 | 26.2 | 20.2–32.1 |
| 8-10 | 132 | 10.2 | 8.5–11.8 | 122 | 11.2 | 9.4–13.2 | 10 | 4.7 | 1.8–7.5 |
| ≥ 11 | 296 | 22.9 | 20.6–25.2 | 261 | 24.1 | 21.6–26.7 | 35 | 16.3 | 11.3–21.3 |
| Occupational status | |||||||||
| Working | 89 | 7.4 | 5.9–8.8 | 90 | 8.8 | 6.9–10.4 | 1 | 0.5 | –0.05–1.5 |
| Retired or receiving the social security disability insurance | 871 | 72.0 | 69.5–74.6 | 705 | 69.2 | 66.3–72.0 | 169 | 87.1 | 82.3–91.8 |
| Retired and working | 125 | 10.3 | 8.6–12.1 | 117 | 11.2 | 9.4–13.3 | 10 | 5.2 | 2.0–8.2 |
| Homemaker or unemployed | 124 | 10.3 | 8.5–11.9 | 111 | 10.8 | 8.9–12.7 | 14 | 7.2 | 3.5–10.9 |
| Economic classification - ABEP | |||||||||
| A or B | 449 | 36.4 | 33.7–39.1 | 373 | 36.3 | 33.3–39.2 | 76 | 36.7 | 30.0–43.3 |
| C | 639 | 51.8 | 49.0–54.6 | 544 | 52.9 | 49.8–55.9 | 98 | 47.3 | 40.5–54.2 |
| D or E | 145 | 11.8 | 9.9–13.5 | 111 | 10.8 | 8.9–12.7 | 33 | 16.0 | 10.9–21.0 |
| Income in minimum wages | |||||||||
| ≤ 1 | 125 | 10.3 | 8.6–12.0 | 105 | 10.4 | 8.4–12.2 | 19 | 9.4 | 5.3–13.5 |
| 2-3 | 519 | 42.7 | 39.8–45.4 | 445 | 43.7 | 40.6–46.7 | 77 | 38.3 | 31.5–45.1 |
| 4-5 | 257 | 21.1 | 18.8–23.4 | 207 | 20.3 | 17.8–22.8 | 51 | 25.4 | 19.3–31.4 |
| 6-9 | 177 | 14.5 | 12.6–16.5 | 142 | 13.9 | 11.9–16.2 | 35 | 17.4 | 12.1–22.7 |
| ≥ 10 | 139 | 11.4 | 9.6–13.2 | 119 | 11.7 | 9.6–13.6 | 19 | 9.5 | 5.3–13.5 |
| Social supportb | |||||||||
| No | 96 | 7.4 | 6.0–8.8 | 84 | 7.8 | 6.2–9.4 | 11 | 5.1 | 6.1–9.4 |
| Yes | 1,205 | 92.6 | 91.2–94.0 | 997 | 92.2 | 90.6–93.8 | 205 | 94.9 | 90.6–93.8 |
| Knowledge of the PFPB | |||||||||
| No | 165 | 12.6 | 10.8–14.5 | 101 | 9.3 | 7.6–11.0 | 62 | 28.7 | 22.6–34.8 |
| Yes | 1,139 | 87.4 | 85.5–89.1 | 984 | 90.7 | 88.9–92.4 | 154 | 71.3 | 65.2–77.4 |
| Use of the PFPB-E | |||||||||
| No | 534 | 43.2 | 40.4–45.9 | 408 | 39.8 | 36.8–42.8 | 123 | 58.8 | 52.1–65.6 |
| Yes | 703 | 56.8 | 54.1–59.6 | 616 | 60.2 | 57.2–63.2 | 86 | 41.2 | 34.4–47.9 |
| Number of medications used | |||||||||
| 1 | 163 | 12.5 | 10.7–14.3 | 144 | 13.3 | 11.2–15.3 | 17 | 7.8 | 4.2–11.4 |
| 2 | 203 | 15.6 | 13.6–17.5 | 174 | 16.1 | 13.8–18.2 | 28 | 12.9 | 8.4–17.4 |
| 3 | 234 | 17.9 | 15.8–20.0 | 200 | 18.4 | 16.1–20.8 | 33 | 15.2 | 10.4–20.0 |
| ≥ 4 | 705 | 54.0 | 51.3–56.7 | 566 | 52.2 | 49.2–55.2 | 139 | 64.1 | 57.6–70.5 |
| Need for long-term medication | |||||||||
| No | 68 | 5.2 | 4.0–6.4 | 60 | 5.5 | 4.2–6.9 | 8 | 3.7 | 1.1–6.2 |
| Yes | 1,237 | 94.8 | 93.6–96.0 | 1,024 | 94.5 | 93.1–95.8 | 209 | 96.3 | 93.8–98.8 |
| Health conditions variables | |||||||||
| Diabetes | |||||||||
| No | 973 | 74.6 | 72.3–76.9 | 802 | 73.9 | 71.4–76.6 | 169 | 77.9 | 72.3–83.4 |
| Yes | 331 | 25.4 | 23.0–27.7 | 282 | 26.1 | 23.4–28.6 | 48 | 22.1 | 16.6–27.7 |
| Hypertension | |||||||||
| No | 371 | 28.5 | 26.0–30.9 | 309 | 28.7 | 26.0–31.5 | 61 | 28.2 | 22.2–34.3 |
| Yes | 933 | 71.5 | 69.1–74.0 | 766 | 71.3 | 68.5–73.9 | 155 | 71.7 | 65.7–77.8 |
| Chronic respiratory diseases | |||||||||
| No | 1,077 | 82.7 | 80.7–84.8 | 905 | 83.6 | 81.4–85.8 | 169 | 77.9 | 72.3–83.4 |
| Yes | 225 | 17.3 | 15.2–19.3 | 177 | 16.4 | 14.2–18.6 | 48 | 22.1 | 16.5–27.6 |
| Rhinitis | |||||||||
| No | 1,037 | 79.7 | 77.5–81.9 | 857 | 80.2 | 77.8–82.6 | 177 | 82.7 | 77.6–87.8 |
| Yes | 264 | 20.3 | 18.1–22.5 | 211 | 19.8 | 17.4–22.1 | 37 | 17.3 | 12.2–22.4 |
| Glaucoma | |||||||||
| No | 1,201 | 92.3 | 90.9–93.8 | 1,010 | 93.3 | 91.9–94.8 | 188 | 88.3 | 83.9–92.6 |
| Yes | 100 | 7.7 | 6.2–9.1 | 72 | 6.7 | 5.2–8.1 | 25 | 11.7 | 7.3–16.1 |
| Parkinson’s disease | |||||||||
| No | 1,280 | 98.3 | 97.6–99.0 | 1,068 | 98.7 | 98.0–99.4 | 209 | 96.3 | 93.8–98.9 |
| Yes | 22 | 1.7 | 0.9–2.3 | 14 | 1.3 | 0.06–1.9 | 8 | 3.7 | 1.1–6.2 |
| Dyslipidemia | |||||||||
| No | 733 | 56.2 | 53.5–58.9 | 594 | 55.3 | 52.3–58.3 | 137 | 63.7 | 52.2–70.2 |
| Yes | 570 | 43.8 | 41.0–46.4 | 480 | 44.7 | 29.8–42.7 | 78 | 36.3 | 29.8–42.7 |
| Osteoporosis | |||||||||
| No | 954 | 73.3 | 70.9–75.7 | 809 | 75.5 | 72.9–78.0 | 142 | 65.7 | 59.4–72.1 |
| Yes | 347 | 26.7 | 24.3–29.1 | 263 | 24.5 | 21.9–27.1 | 74 | 34.3 | 27.9–40.6 |
ABEP: Brazilian Association of Market Research Companies; PFPB: Brazilian People’s Pharmacy Program; PFPB-E: Brazilian People’s Pharmacy Program – expansion model
a The maximum number of ignored values was 96, for occupational status.
b Social support: possibility of the older adult.
Reasons for not using the Brazilian People’s Pharmacy Program, by older adults who had not obtained all their medications from the PFPB-E or SUS in the last 15 days, according to age. Pelotas, RS, Southern Brazil, 2014. (N = 1,014)
| Variable | General | Age group | ||||
|---|---|---|---|---|---|---|
|
| ||||||
| 60-79 | ≥ 80 | |||||
|
|
|
| ||||
| n | % | n | % | n | % | |
| Tried to obtain a medication from the PFPB-E | ||||||
| No | 462 | 45.6 | 356 | 42.8 | 105 | 58.3 |
| Yes | 552 | 54.1 | 476 | 57.2 | 75 | 41.7 |
| Reasons for trying and failing (n = 552) | ||||||
| Difficulty in going to the pharmacy | 31 | 5.7 | 20 | 4.2 | 9 | 12.3 |
| Shortage of medication of the prescribed brand | 49 | 8.9 | 41 | 8.7 | 8 | 10.8 |
| Medication shortage | 69 | 12.6 | 59 | 12.5 | 10 | 13.5 |
| Difficulty in obtaining the prescription | 93 | 17.0 | 77 | 16.3 | 16 | 21.6 |
| Medication is not in the PFPB list | 408 | 74.4 | 349 | 73.9 | 57 | 77.0 |
| Other | 43 | 7.8 | 38 | 8.0 | 5 | 6.8 |
| Reasons for not trying (n = 469) | ||||||
| Not trusting PFPB medication | 15 | 3.4 | 13 | 3.8 | 2 | 2.0 |
| A physician advised against it | 16 | 3.6 | 13 | 3.8 | 3 | 3.0 |
| Difficulty in going to the pharmacy | 34 | 7.6 | 18 | 5.2 | 16 | 16.2 |
| Difficulty in obtaining the prescription | 55 | 12.3 | 43 | 12.5 | 12 | 11.9 |
| Not knowing the PFPB | 128 | 28.6 | 85 | 24.6 | 43 | 42.2 |
| Not knowing which medications are available in the PFPB | 174 | 39.1 | 127 | 36.9 | 47 | 47.0 |
| Medication is not in the PFPB list | 185 | 45.7 | 155 | 48.6 | 30 | 35.3 |
| Other reasons | 84 | 18.9 | 67 | 19.5 | 17 | 16.8 |
PFPB-E: Brazilian People’s Pharmacy Program – expansion model; SUS: Brazilian Unified Health System; PFPB: Brazilian People’s Pharmacy Program
Factors associated with use of the People’s Pharmacy Program in the last 15 days. Pelotas, RS, Southern Brazil, 2014.
| Levela | Variable | p | 95%CI | PRcrude | 95%CI | p | PRadjusted | 95%CI | pb |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Age | < 0.001 | 0.004 | ||||||
| 60-64 | 60.6 | 34.0–44.7 | 1 | - | - | 1 | - | - | |
| 65-69 | 59.1 | 53.5–64.7 | 0.97 | 86.3–1.10 | - | 0.97 | 0.85–1.11 | - | |
| 70-79 | 60.5 | 55.7–65.3 | 0.99 | 87.7–1.14 | - | 1.02 | 0.89–1.16 | - | |
| ≥ 80 | 41.1 | 34.4–47.9 | 0.67 | 56.3–81.9 | - | 0.72 | 0.60–0.87 | - | |
| Educational attainment (in years of schooling) | 0.007 | 0.131 | |||||||
| 0 | 48.0 | 40.4–55.5 | 1 | - | - | 1 | - | - | |
| ≤ 3 | 60.8 | 55.0–66.5 | 1.26 | 1.03–1.55 | - | 1.22 | 0.99–1.52 | - | |
| 4-7 | 63.1 | 58.2–68.0 | 1.31 | 1.06–1.62 | - | 1.31 | 1.06–1.62 | - | |
| 8-10 | 56.8 | 47.7–65.8 | 1.18 | 0.93–1.50 | - | 1.20 | 0.94–1.54 | - | |
| ≥ 11 | 50.2 | 44.3–56.1 | 1.05 | 0.84–1.30 | - | 1.14 | 0.90–1.46 | - | |
| Income in minimum wages | 0.001c | 0.005c | |||||||
| ≤ 1 | 56.9 | 47.7–66.0 | 1 | - | - | 1 | - | - | |
| 2-3 | 61.5 | 57.2–65.8 | 1.08 | 0.90–1.30 | - | 1.0 | 0.83–1.20 | - | |
| 4-5 | 60.0 | 53.8–66.2 | 1.05 | 0.86–1.30 | - | 0.97 | 0.77–1.22 | - | |
| 6-9 | 50.6 | 43.0–58.1 | 0.88 | 68.7–1.15 | - | 0.83 | 0.63–1.10 | - | |
| ≥ 10 | 40.9 | 32.4–49.4 | 0.72 | 0.55–0.94 | - | 0.66 | 0.49–0.90 | - | |
| Marital status | 0.013 | 0.036 | |||||||
| Living without a partner | 52.6 | 48.5–56.6 | 1 | - | - | 1 | - | ||
| Living with a partner | 60.8 | 57.0–64.6 | 1.16 | 1.03–1.30 | - | 1.13 | 1.0–1.28 | ||
| 2 | Hypertension | < 0.001 | < 0.001 | ||||||
| No | 38.0 | 32.6–43.4 | 1 | - | - | 1 | - | ||
| Yes | 63.2 | 60.0–66.3 | 1.66 | 1.41–1.96 | - | 1.52 | 1.29–1.77 | ||
| Diabetes | < 0.001 | < 0.001 | |||||||
| No | 52.7 | 49.4–55.9 | 1 | - | - | 1 | - | ||
| Yes | 68.1 | 63.0–73.1 | 1.30 | 1.19–1.40 | - | 1.19 | 1.09–1.30 | ||
| Dyslipidemia | < 0.001 | < 0.001 | |||||||
| No | 48.1 | 44.3–51.8 | 1 | - | - | 1 | - | ||
| Yes | 67.3 | 63.4–71.1 | 1.40 | 1.27–1.54 | 1.31 | 1.20–1.43 | |||
| Glaucoma | 0.128 | 0.129 | |||||||
| No | 56.2 | 53.4–59.1 | 1 | 1 | |||||
| Yes | 63.9 | 54.2–73.6 | 1.14 | 0.96–1.34 | 1.13 | 0.96–1.34 | |||
| Rhinitis | 0.050 | 0.05 | |||||||
| No | 55.4 | 52.3–58.5 | 1 | - | - | 1 | |||
| Yes | 62.1 | 56.0–68.2 | 1.12 | 1.0–1.25 | - | 1.12 | 0.99–1.26 | ||
| 3 | Knowledge of the PFPB | < 0.001 | < 0.001 | ||||||
| No | 16.4 | 10.2–22.6 | 1 | - | - | 1 | - | - | |
| Yes | 61.9 | 59.0–64.8 | 3.77 | 2.63–5.40 | - | 2.87 | 2.01–4.08 | - | |
| Number of medications used | < 0.001c | < 0.001c | |||||||
| 1 | 37.5 | 28.7–46.3 | 1 | - | - | 1 | - | - | |
| 2 | 41.1 | 34.0–48.1 | 1.09 | 80.3–1.49 | - | 0.96 | 71.6–1.28 | - | |
| 3 | 53.5 | 46.9–60.0 | 1.42 | 1.06–1.90 | - | 1.22 | 92.0–1.62 | - | |
| ≥ 4 | 65.6 | 62.0–69.1 | 1.74 | 1.35–2.26 | - | 1.40 | 1.07–1.80 | - | |
PFPB: Brazilian People’s Pharmacy Program
a All variables were controlled for the others of the same level and above, with p from 0.2 to 0.05.
b The variables with significance level from 0.05 to 0.2 were maintained in the model to control confounding.
c Wald Test for linear trend.
Description of the medications in the PFPB-E list according to use of the program. Pelotas, RS, Southern Brazil, 2014. (N = 1,873)
| Medication obtained from the PFPB-E | n | % |
|---|---|---|
| No | 599 | 32.4 |
| Yes | 1,249 | 67.6 |
| Medications obtained free of charge from the PFPB-E | ||
| No | 258 | 20.7 |
| Yes | 991 | 79.3 |
| Origin of the prescription of the medications obtained from the PFPB-E | ||
| SUS | 569 | 45.6 |
| Health plan or private | 678 | 54.4 |
| Description of the PFPB-E medications according to pharmacologic class | ||
| Respiratory diseases (asthma, bronchitis, emphysema) | 31 | 1.7 |
| Diabetes | 351 | 18.7 |
| Dyslipidemia | 327 | 17.5 |
| Glaucoma | 15 | 0.8 |
| Hypertension | 1,092 | 58.3 |
| Osteoporosis | 34 | 1.8 |
| Parkinson’s disease | 13 | 0.7 |
| Rhinitis | 10 | 0.5 |
PFPB-E: Brazilian People’s Pharmacy Program – expansion model; SUS: Brazilian Unified Health System