| Literature DB >> 30998795 |
Tatiana Pereira Santos1, Antônio Thomaz Gonzaga Matta Machado2, Mauro Henrique Nogueira Guimarães Abreu3, Renata Castro Martins3.
Abstract
This cross-sectional study evaluated the management and organisation of primary dental care in Brazil. For this purpose, data from the National Program for Improving Access and Quality of Primary Care (PMAQ-AB) were used. Dentists from 18,114 Oral Health Teams (OHTs) answered a structured questionnaire in 2014. The data were analyzed descriptively and by cluster analysis. Half the Brazilian OHTs (51.0%) undertake planning and programming of activities. The majority of OHTs (66.4%) conducted monitoring and analysis of indicators and oral health information. The majority of OHTs had performed some self-evaluation process in the last 6 months (67.5%) and utilised self-evaluation results for planning and programming actions (71.4%). The OHTs grouped in Cluster 1 demonstrated better management organisation, followed by the teams grouped in Cluster 2. In the Brazilian macro-regions, the more OHTs were grouped in Cluster 1 in the Southeast (87.5%), Northeast (85.4%) and South (82.7%) regions. The majority of OHTs have satisfactory management and organisation. However, some need improvement, mainly in planning and programming actions based on health indicators and self-evaluation. All Brazilian OHTs need to participate in PMAQ-AB and it is important to continue evaluating the data to improve oral health care.Entities:
Mesh:
Year: 2019 PMID: 30998795 PMCID: PMC6472765 DOI: 10.1371/journal.pone.0215429
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Descriptive analysis of management and organisation of OHTs, according to PMAQ-AB Data, Brazil, 2014.
| Variable | Frequency |
|---|---|
| 9,238 (51.0) | |
| 12,031 (66.4) | |
| 14,303 (79.0) | |
| 12,218 (67.5) | |
| 14,925 (82.4) | |
| 16,737 (92.4) | |
| 15,541 (85.8) | |
| 14,454 (79.8) | |
| 14,518 (80.1) | |
| 14,195 (78.4) | |
| 11,712 (64.7) | |
| 12,940 (71.4) | |
| 12,007 (66.3) | |
| 16,407 (90.6) | |
| 16,639 (91.9) |
Management organisation of OHTs by cluster, according to PMAQ-AB Data, Brazil, 2014.
| Variable | Frequency (%) | ||
|---|---|---|---|
| Cluster 1 | Cluster 2 | Cluster 3 | |
| 8,599 (56.4) | 423 (34.8) | 216 (13.1) | |
| 11,574 (75.9) | 208 (17.1) | 249 (15.1) | |
| 13,416 (88.0) | 559 (46.0) | 328 (19.8) | |
| 10,879 (71.4) | 915 (75.4) | 424 (25.6) | |
| 13,359 (87.6) | 872 (71.8) | 694 (42.0) | |
| 14,627 (95.9) | 1,099 (90.5) | 1,011 (61.1) | |
| 14,113 (92.6) | 864 (71.2) | 564 (34.1) | |
| 13,565 (89.0) | 556 (45.8) | 333 (20.1) | |
| 13,444 (88.2) | 830 (68.4) | 244 (14.8) | |
| 12,958 (85.0) | 866 (71.3) | 371 (22.4) | |
| 10,615 (69.6) | 847 (69.8) | 250 (15.1) | |
| 11,760 (77.1) | 943 (77.7) | 237 (14.3) | |
| 10,685 (70.1) | 810 (66.7) | 512 (31.0) | |
| 14,280 (93.7) | 1,164 (95.9) | 963 (58.2) | |
| 14,316 (93.9) | 1,105 (91.0) | 1,218 (73.6) | |
Distribution of OHTs in the Brazilian Macro-regions by cluster, according to PMAQ-AB data, Brazil, 2014.
| Macro-region | Frequency (%) | |||
|---|---|---|---|---|
| Cluster 1 | Cluster 2 | Cluster 3 | Total | |
| 930 (73.6) | 112 (8.9) | 221 (17.5) | 1,263 (100.0) | |
| 6,572 (85.4) | 572 (7.4) | 556 (7.2) | 7,700 (100.0) | |
| 1,232 (78.4) | 108 (6.9) | 232 (14.8) | 1,572 (100.0) | |
| 4,401 (87.5) | 266 (5.3) | 360 (7.2) | 5,027 (100.0) | |
| 2,111 (82.7) | 156 (6.1) | 285 (11.2) | 2,552 (100.0) | |
| 15,246 (84.2) | 1,214 (6.7) | 1,654 (9.1) | 18,114 (100.0) | |