| Literature DB >> 29160449 |
Letícia Farias Gerlack1, Margô Gomes de Oliveira Karnikowski2, Camila Alves Areda2, Dayani Galato2, Aline Gomes de Oliveira1, Juliana Álvares3, Silvana Nair Leite4, Ediná Alves Costa5, Ione Aquemi Guibu6, Orlando Mario Soeiro7, Karen Sarmento Costa8,9,10, Augusto Afonso Guerra3, Francisco de Assis Acurcio3.
Abstract
OBJECTIVE: To identify limiting factors in the management of pharmaceutical services in the primary health care provided by the Brazilian Unified Health System (SUS).Entities:
Mesh:
Year: 2017 PMID: 29160449 PMCID: PMC5676386 DOI: 10.11606/S1518-8787.2017051007063
Source DB: PubMed Journal: Rev Saude Publica ISSN: 0034-8910 Impact factor: 2.106
Indicators of limiting factor 1 (pharmaceutical services as organizational element), in the primary health care of SUS, by region of Brazil. National Survey on Access, Use and Promotion of Rational Use of Medicines – Services, 2015.
| Indicator | North | Northeast | Midwest | Southeast | South | Brazil | p |
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| n (%) (95%CI) | n (%) (95%CI) | n (%) (95%CI) | n (%) (95%CI) | n (%) (95%CI) | n (%) (95%CI) | ||
| PS in the organizational chart of the Municipal Health Secretariat/FD (n = 504) | 62 (63.8) (53.3–73.1) | 76 (78.3) (67.9–86.1) | 76 (75.1) (65.4–82.7) | 84 (80.0) (70.7–86.9) | 78 (72.0) (62.5–79.9) | 376 (76.0) (71.4–80.1) | 0.343 |
| PS in the City/District Health Plan (n = 504) | 72 (74.2) (64.1–82.2) | 88 (92.3) (84.0–96.5) | 77 (76.1) (66.5–83.6) | 81 (74.9) (65.2–82.6) | 91 (83.1) (74.5–89.2) | 409 (82.0) (77.9–85.5) | 0.001 |
| Cities/FD with PTC (n = 503) | 14 (10.7) (6.0–18.3) | 16 (9.5) (4.8–18.0) | 16 (13.6) (8.2–21.9) | 19 (13.3) (7.8–21.7) | 23 (15.6) (9.8–23.9) | 88 (12.5) (9.5–16.3) | 0.628 |
| Meeting of the PTC with minimum regularity every six months in Cities/FD (n = 105) | 8 (40.4) (19.6–65.3) | 13 (62.4) (30.7–86.2) | 8 (38.9) (18.7–63.9) | 13 (57.3) (32.4–79.0) | 15 (43.8) (24.5–65.2) | 57 (51.5) (38.8–63.9) | 0.934 |
| Cities/FD that have list of medicines (n = 495) | 69 (70.6) (60.3–79.1) | 85 (90.8) (81.8–95.6) | 81 (82.9) (73.7–89.2) | 89 (86.9) (78.3–92.4) | 91 (82.0) (73.2–88.4) | 415 (85.3) (81.4–88.5) | 0.077 |
| Cities/FD with update of the list of medicines at least annually (n = 419) | 56 (82.9) (71.8–90.3) | 69 (83.8) (73.3–90.7) | 65 (83.1) (73.5–89.7) | 72 (81.2) (71.1–88.3) | 66 (73.1) (62.6–81.5) | 328 (80.4) (75.6–84.5) | 0.333 |
| Cities with permanent commission of exclusive bidding for the acquisition of medicines | 34 (37.2) (27.9–47.7) | 26 (30.1) (20.9–41.3) | 43 (44.8) (35.1–55.0) | 39 (35.7) (26.6–45.9) | 40 (35.0) (26.4–44.8) | 182 (34.8) (30.0–39.9) | 0.574 |
PS: Pharmaceutical Services; FD: Federal District; PTC: Pharmacy and Therapeutics Committee.
Source: PNAUM Services – Brazil, 2015.
Indicators of limiting factor 2 (participatory management of pharmaceutical services), in the primary health care of SUS, by region of Brazil. National Survey on Access, Use and Promotion of Rational Use of Medicines – Services, 2015.
| Indicator | North | Northeast | Midwest | Southeast | South | Brazil | p |
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| n (%) (95%CI) | n (%) (95%CI) | n (%) (95%CI) | n (%) (95%CI) | n (%) (95%CI) | n (%) (95%CI) | ||
| Cities with accountability of the expenses with PS made on the CMS of the city (n = 323) | 38 (56.0) (43.6–67.7) | 32 (63.9) (48.7–76.8) | 41 (63.6) (50.6–74.3) | 40 (61.1) (48.5–72.4) | 46 (65.4) (53.0–76.0) | 197 (62.6) (56.1–68.7) | 0.670 |
| Cities where the manager of PS takes part in the CMS (n = 410) | 39 (44.5) (34.2–55.4) | 25 (38.1) (26.4–51.5) | 41 (51.2) (39.9–62.3) | 37 (41.9) (31.7–52.9) | 36 (40.6) (30.5–51.5) | 178 (41.6) (36.1–47.4) | 0.854 |
| Cities where the CMS decides on issues concerning PS (n = 420) | 51 (58.2) (47.2–68.4) | 43 (59.3) (46.5–71.0) | 58 (70.2) (59.1–79.4) | 54 (60.2) (49.3–70.1) | 55 (61.5) (50.7–71.3) | 261 (60.9) (55.2–66.3) | 0.632 |
| Cities that have mechanisms to receive criticism and suggestions from users about PS (n = 506) | 35 (38.8) (29.2–49.3) | 26 (24.3) (16.1–34.8) | 34 (33.0) (24.3–42.9) | 38 (35.8) (26.8–45.9) | 43 (37.4) (28.5–47.2) | 176 (32.7) (28.1–37.7) | 0.566 |
| Cities that have mechanisms to receive criticisms and suggestions from the health workers about PS (n = 420) | 25 (28.8) (20.1–39.6) | 18 (23.8) (14.7–36.2) | 34 (41.1) (30.7–52.3) | 33 (35.5) (25.9–46.4) | 34 (36.5) (26.9–47.3) | 144 (32.4) (27.4–37.9) | 0.434 |
PS: Pharmaceutical Services; CMS: Municipal Health Council.
Source: PNAUM Services – Brazil, 2015.
Indicators of limiting factor 3 (technical/managerial capacity of the management of pharmaceutical services), in the primary health care of SUS, by region of Brazil. National Survey on Access, Use and Promotion of Rational Use of Medicines – Services, 2015.
| Indicators | North | Northeast | Midwest | Southeast | South | Brazil | p |
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| n (%) (95%CI) | n (%) (95%CI) | n (%) (95%CI) | n (%) (95%CI) | n (%) (95%CI) | n (%) (95%CI) | ||
| Educational level of the manager (n = 504) | 0.015 | ||||||
| Up to high school | 6 (6.8) (3.1–14.4) | 2 (2.6) (0.6–9.8) | 6 (6.2) (2.8–13.3) | 3 (3.1) (1.0–9.3) | 4 (4.0) (1.5–10.1) | 21 (3.7) (2.2–6.1) | |
| Higher education degree | 78 (83.3) (74.1–9.7) | 66 (71.3) (60.4–80.3) | 72 (74.0) (64.4–81.8) | 83 (80.9) (71.8–87.6) | 68 (60.3) (50.5–69.4) | 367 (72.9) (68.2–77.2) | |
| Specialization | 11 (9.9) (5.3–17.9) | 26 (36.1) (17.5–36.9) | 22 (19.7) (13.0–28.8) | 19 (16.0) (9.9–24.7) | 38 (35.7) (27.0–45.6) | 116 (23.4) (19.3–28.0) | |
| % of cities that offer qualification or training for professionals of PS (n = 418) | 9 (10.1) (5.2–18.8) | 8 (11.6) (5.6–22.4) | 11 (14.6) (8.3–24.6) | 11 (13.3) (7.5–22.6) | 11 (9.2) (4.7–17.4) | 50 (11.7) (8.5–16.0) | 0.800 |
| Cities with SOP for: (n = 491) | |||||||
| Selection of medicines | 42 (45.9) (35.6–56.6) | 46 (48.8) (37.7–60.0) | 50 (51.5) (41.4–61.4) | 60 (56.5) (46.3–66.1) | 52 (45.9) (36.4–55.7) | 250 (50.6) (45.3–55.8) | 0.564 |
| Scheduling | 40 (45.0) (34.6–55.8) | 50 (56.1) (44.7–67.0) | 53 (53.0) (43.0–62.9) | 68 (64.6) (54.4–73.7) | 48 (43.2) (33.8–53.1) | 259 (54.7) (49.5–59.9) | 0.038 |
| Acquisition | 47 (52.6) (41.9–63.1) | 52 (58.8) (47.3–69.4) | 52 (52.8) (42.7–62.6) | 69 (66.7) (56.5–75.5) | 55 (49.4) (39.7–59.1) | 275 (58.2) (52.9–63.2) | 0.078 |
| Cities where the pharmacist makes the technical specification of medicines to be purchased (n = 505) | 77 (80.4) (70.9–87.4) | 78 (83.1) (73.1–89.9) | 90 (90.4) (82.7–94.9) | 91 (89.3) (81.4–94.1) | 96 (88.0) (80.1–93.0) | 432 (86.6) (82.6–89.7) | 0.352 |
| Cities where there is purchase of medicines in local pharmacies (n = 499) | < 0.001 | ||||||
| Always | 4 (4.5) (1.7–11.4) | 2 (2.6) (0.6–9.9) | 16 (17.0) (10.6–26.0) | 11 (11.7) (6.6–20.1) | 12 (12.0) (6.9–20.0) | 45 (9.0) (6.5–12.3) | |
| Repeatedly | 4 (4.5) (1.7–11.4) | 4 (4.0) (1.3–11.5) | 7 (7.4) (3.6–14.8) | 4 (4.3) (1.6–10.9) | 13 (13.0) (7.7–21.1) | 32 (6.5) (4.4–9.4) | |
| Sometimes | 14 (15.9) (9.5–24.8) | 19 (21.0) (13.3–31.6) | 35 (36.3) (27.3–46.5) | 31 (31.1) (22.5–41.2) | 35 (32.2) (23.8–42.0) | 134 (27.6) (23.3–32.5) | |
| Rarely | 25 (27.2) (18.9–37.3) | 15 (14.6) (8.3–24.3) | 17 (17.2) (10.9–26.3) | 22 (20.5) (13.5–29.9) | 19 (18.1) (11.7–26.9) | 98 (18.4) (14.8–22.8) | |
| Never | 41 (40.9) (31.2–51.3) | 43 (46.1) (35.3–57.2) | 20 (18.8) (12.2–27.9) | 30 (28.0) (19.9–38.0) | 26 (20.8) (14.0–29.8) | 160 (31.9) (27.2–36.9) | |
| Cities where the ratio of the average percentage of expired medicines by the total number of acquisitions is up to 5% (n = 489) | 77 (84.1) (75.1–90.3) | 66 (73.9) (62.8–82.7) | 80 (83.3) (74.5–89.5) | 86 (85.5) (76.5–91.4) | 91 (83.0) (74.3–89.2) | 400 (81.3) (76.7–85.1) | 0.472 |
| Cities where the Secretariat has legal advice to answer lawsuits (n = 322) | 37 (83.2) (67.9–92.1) | 49 (84.8) (70.2–93.0) | 62 (85.3) (74.8–92.0) | 61 (80.4) (69.0–88.3) | 61 (80.5) (69.2–88.3) | 270 (82.1) (76.5–86.7) | 0.855 |
| Cities where the coordination of PS has autonomy for managing the financial resources destined to PS (n = 504) | 53 (57.0) (46.6–66.9) | 39 (43.4) (32.9–54.5) | 44 (44.9) (35.3–55.0) | 35 (32.7) (24.0–42.7) | 36 (31.7) (23.3–41.4) | 207 (38.5) (33.6–43.6) | 0.079 |
| Cities that received resources from the State or Federal Government for structuring PS in the primary health care in the past year (reforms, construction, among others) (n = 499) | 23 (23.3) (15.7–33.1) | 37 (44.3) (33.5–55.7) | 23 (23.6) (16.1–33.2) | 35 (34.6) (25.8–44.7) | 27 (25.8) (18.2–35.2) | 145 (33.5) (28.7–38.7) | 0.066 |
| Cities that spent resources in structuring PS in the past year (n = 501) | 35 (34.2) (25.2–44.5) | 50 (54.5) (43.3–65.1) | 44 (45.9) (36.1–56.0) | 35 (32.4) (23.7–42.5) | 56 (50.2) (40.6–59.9) | 220 (44.3) (39.3–49.5) | 0.015 |
| Managers who did not know which was the total expenditure of the city with PS in the past year (n = 501) | 77 (85.2) (76.0–91.2) | 67 (76.8) (65.9–85.0) | 84 (88.5) (80.5–93.5) | 79 (85.6) (77.0–91.7) | 82 (79.0) (69.8–86.0) | 389 (81.7) (77.2–85.5) | 0.213 |
| Managers who consider that the list of medicines adopted by the city meets the population demands (n = 501) | 0.349 | ||||||
| Completely | 16 (24.6) (15.6–36.5) | 24 (27.2) (18.1–38.7) | 25 (29.3) (20.4–40.1) | 32 (34.6) (25.1–45.5) | 27 (27.8) (19.2–38.2) | 124 (29.7) (24.7–35.1) | |
| Partially | 55 (75.4) (63.5–84.4) | 63 (72.8) (61.3–81.9) | 59 (70.7) (59.9–79.6) | 59 (65.4) (54.5–74.9) | 65 (71.1) (60.5–79.7) | 301 (70.1) (64.6–75.0) | |
| Evaluation of PS organization in the city/FD by the manager (n = 420) | 0.852 | ||||||
| Great | 8 (9.8) (5.0–18.5) | 4 (5.0) (1.6–14.3) | 7 (9.3) (4.5–18.3) | 7 (8.4) (4.0–16.6) | 6 (7.1) (3.2–15.1) | 32 (7.4) (4.9–10.9) | |
| Good | 38 (42.0) (31.9–52.9) | 39 (56.4) (43.8–68.3) | 42 (54.8) (43.5–65.6) | 44 (48.2) (37.7–58.9) | 48 (52.1) (41.4–62.5) | 211 (51.4) (45.7–57.0) | |
| Regular | 32 (38.3) (28.4–49.3) | 22 (30.0) (19.8–42.6) | 25 (29.2) (20.1–40.3) | 32 (36.1) (26.5–46.9) | 25 (28.7) (20.0–39.3) | 136 (32.3) (27.3–37.9) | |
PS: Pharmaceutical Services; FD: Federal District; SOP: Standard Operating Procedure.
Source: PNAUM Services – Brazil, 2015.
Indicators of limiting factor 4 (monitoring technology and evaluation of the management of pharmaceutical services), in the primary health care of SUS, by region of Brazil. National Survey on Access, Use and Promotion of Rational Use of Medicines – Services, 2015.
| Indicators | North | Northeast | Midwest | Southeast | South | Brazil | p |
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| n (%) (95%CI) | n (%) (95%CI) | n (%) (95%CI) | n (%) (95%CI) | n (%) (95%CI) | n (%) (95%CI) | ||
| Cities with some mechanism for the registration of technical complaint and notification of adverse events of medicines (n = 417) | 19 (22.2) (14.5–32.5) | 15 (15.9) (8.6–27.5) | 19 (24.6) (16.1–35.6) | 21 (22.9) (15.1–33.2) | 23 (23.1) (15.3–33.2) | 97 (21.1) (16.9–26.1) | 0.212 |
| Cities with records of expired medicines (n = 497) | 77 (79.6) (69.9–86.7) | 72 (75.9) (64.9–84.3) | 84 (85.9) (77.4–91.6) | 85 (81.7) (72.4–88.3) | 94 (86.0) (77.8–91.5) | 412 (81.2) (76.7–85.0) | 0.119 |
| Cities with computerized system for PS management (n = 501) | 41 (40.1) (30.5–50.5) | 60 (61.2) (50.0–71.4) | 54 (53.5) (43.5–63.3) | 81 (78.7) (69.2–85.8) | 95 (87.9) (79.9–93.0) | 331 (70.6) (65.9–74.9) | < 0.001 |
| Cities with monitoring of the medicine storage conditions (n = 497) | |||||||
| Temperature | 71 (72.0) (61.8–80.3) | 82 (88.0) (78.4–93.7) | 81 (82.0) (72.8–88.5) | 82 (79.4) (69.9–86.5) | 94 (85.1) (76.7–90.8) | 410 (82.9) (78.6–86.4) | 0.101 |
| Moisture | 58 (57.4) (47.0–67.2) | 73 (77.2) (66.4–85.4) | 72 (72.4) (62.5–80.5) | 68 (65.3) (55.1–74.3) | 75 (66.3) (56.6–74.9) | 346 (69.0) (64.0–73.5) | 0.229 |
| Cleaning | 84 (86.6) (77.7–92.2) | 85 (93.3) (84.8–97.2) | 90 (92.3) (84.9–96.2) | 97 (94.6) (87.6–97.8) | 103 (94.0) (87.3–97.3) | 459 (93.2) (90.2–95.4) | 0.363 |
| Protection from insects | 74 (76.2) (66.3–83.9) | 80 (87.8) (78.3–93.5) | 83 (84.9) (76.1–90.8) | 88 (84.9) (76.0–90.9) | 97 (88.1) (80.1–93.1) | 422 (85.8) (81.8–89.0) | 0.183 |
| Cities in which the computerized system includes the items: (n = 336) | |||||||
| Acquisition | 32 (79.0) (63.0–89.3) | 48 (79.1) (65.5–88.3) | 46 (84.3) (71.6–92.0) | 73 (87.1) (77.7–92.9) | 79 (84.0) (74.8–90.3) | 278 (83.7) (78.6–87.8) | 0.837 |
| Financial control and execution | 27 (69.2) (52.9–81.8) | 39 (69.8) (55.5–81.1) | 36 (67.7) (53.8–79.0) | 53 (64.0) (52.8–73.8) | 60 (63.6) (53.2–73.0) | 215 (65.8) (59.7–71.4) | 0.723 |
| Inventory storage and control | 35 (87.4) (72.7–94.8) | 55 (91.7) (79.9–96.8) | 54 (100) (100–100) | 75 (88.4) (79.2–93.9) | 85 (88.6) (80.1–93.8) | 304 (90.0) (85.5–93.2) | |
| Delivery of medicines to the user | 29 (70.6) (54.1–83.1) | 48 (77.2) (63.4–86.9) | 48 (89.7) (78.1–95.5) | 80 (94.8) (87.1–98.0) | 93 (97.7) (91.3–99.4) | 298 (89.8) (85.4–93.0) | 0.036 |
| Cities where the computerized system is networked with the UBS (n = 331) | 14 (29.6) (17.6–45.1) | 26 (33.2) (21.9–46.1) | 34 (57.4) (44.0–69.8) | 39 (44.3) (33.7–55.5) | 59 (62.9) (52.4–72.3) | 172 (46.6) (40.7–52.6) | 0.009 |
| Cities where the computerized system has user registration – Patient Record (n = 336) | 8 (22.4) (11.6–38.8) | 20 (37.2) (24.8–51.4) | 25 (46.1) (33.0–59.7) | 51 (62.6) (51.4–72.6) | 57 (58.9) (48.3–68.7) | 161 (52.4) (46.3–58.4) | 0.004 |
PS: Pharmaceutical Services; UBS: Basic Health Unit.
Source: PNAUM Services – Brazil, 2015.