| Literature DB >> 33585171 |
Mateus Bertolini Fernandes Dos Santos1, Ana Luiza Cardoso Pires1, Júlia Machado Saporiti1, Mateus De Azevedo Kinalski1, Leonardo Marchini2.
Abstract
OBJECTIVE: The objective of this study was to assess the number of dental procedures performed in the Brazilian Public Health System (SUS) during the first wave of COVID-19 in Brazil (1st semester of 2020) and compare it with the same period of 2019.Entities:
Keywords: Coronavirus; Health policies; Oral health; Pandemic; Public system; SUS
Year: 2021 PMID: 33585171 PMCID: PMC7864786 DOI: 10.1016/j.hlpt.2021.02.001
Source DB: PubMed Journal: Health Policy Technol ISSN: 2211-8837
Procedures and SUS codes included in the search strategy.
| Procedure | SUS Code | |
| Collective action of topical application of fluoride gel | 101020015 | |
| Fluoric mouthwash collective action | 101020023 | |
| Collective action of supervised tooth brushing | 101020031 | |
| Collective action of oral examination with epidemiological purposes | 101020040 | |
| Cariostatic application (per tooth) | 101020058 | |
| Sealant application (per tooth) | 101020066 | |
| Topical fluoride application (individual per session) | 101020074 | |
| Disclosure of plaque | 101020082 | |
| Temporary sealing of dental cavity | 101020090 | |
| Pulp capping | 307010015 | |
| Primary tooth restoration | 307010023 | |
| Anterior permanent tooth restoration | 307010031 | |
| Posterior permanent tooth restoration | 307010040 | |
| Primary tooth extraction | 414020120 | |
| Permanent tooth extraction | 414020138 | |
| Access to dental pulp and medication (per tooth) | 307020010 | |
| Dental pulpotomy | 307020070 | |
| Prophylaxis / plaque removal | 307030040 | |
| Subgingival scaling and root planing (per sextant) | 307030024 | |
| Supragingival scaling and root planing (per sextant) | 307030059 | |
| Temporary dressing with or without biomechanical preparation | 307020029 | |
| Primary tooth filling | 307020037 | |
| Permanent bi-radicular tooth filling | 307020045 | |
| Permanent tooth filling with three or more roots | 307020053 | |
| Uniradicular permanent tooth filling | 307020061 | |
| Endodontic retreatment in bi-radicular permanent tooth | 307020088 | |
| Endodontic retreatment in permanent tooth with 3 or more roots | 307020096 | |
| Endodontic retreatment in uni-radicular permanent tooth | 307020100 | |
| Root perforation sealing | 307020118 | |
| Corono-root scaling (by sextant) | 307030032 | |
| Gingival graft | 414020081 | |
| Gingivectomy (by sextant) | 414020154 | |
| Gingivoplasty (per sextant) | 414020162 | |
| Periodontal surgical treatment (by sextant) | 414020375 | |
| Apicectomy with or without retrograde filling | 414020022 | |
| Deepening of the oral vestibule (per sextant) | 414020030 | |
| Correction of muscle bridles | 414020049 | |
| Correction of alveolar ridge irregularities | 414020057 | |
| Jaw tuberosity correction | 414020065 | |
| Periapical curettage | 414020073 | |
| Bone graft from intraoral donor area | 414020090 | |
| Multiple extraction with alveoloplasty by sextant | 414020146 | |
| Glossorraphy | 414020170 | |
| Marsupialization of cysts and pseudocysts | 414020200 | |
| Odontosection / radilectomy / tunneling | 414020219 | |
| Dental replantation and transplantation (per element) | 414020243 | |
| Retained tooth removal (included / impacted) | 414020278 | |
| Torus and exostosis removal | 414020294 | |
| Surgical treatment of oral-dental hemorrhage | 414020359 | |
| Surgical treatment for dental traction | 414020367 | |
| Treatment of alveolitis | 414020383 | |
| Ulotomy / ulectomy | 414020405 | |
| Osteointegrated dental implant | 414020421 | |
| Treatment of facial neuralgia | 307010058 | |
Fig. 1Line graphic comparing dental procedures in 2019 (blue), 2020 (orange), and the number of new confirmed COVID-19 cases (grey) and deaths (yellow) each month. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Distribution of preventive actions regarding oral health in the Brazilian public health system in 2019 and 2020 and its variation (%).
| 2019 | 2020 | 2019-2020 Variation (%) | ||||||
|---|---|---|---|---|---|---|---|---|
| n | % in the region | % in the country | n | % in the region | % in the country | |||
| Acre | 19,600 | 7.71 | 0.15 | 82 | 0.12 | 0.00 | -99.58 | |
| Amapa | 0 | 0.00 | 0.00 | 114 | 0.17 | 0.01 | - | |
| Amazonas | 138,330 | 54.38 | 1.08 | 44,367 | 64.59 | 2.24 | -67.93 | |
| Para | 24,951 | 9.81 | 0.19 | 4,720 | 6.87 | 0.24 | -81.08 | |
| Rondonia | 6,464 | 2.54 | 0.05 | 462 | 0.67 | 0.02 | -92.85 | |
| Roraima | 5,503 | 2.16 | 0.04 | 1,470 | 2.14 | 0.07 | -73.29 | |
| Tocantins | 59,531 | 23.40 | 0.47 | 17,474 | 25.44 | 0.88 | -70.65 | |
| Alagoas | 59,612 | 2.68 | 0.47 | 10,643 | 5.37 | 0.54 | -82.15 | |
| Bahia | 86,384 | 3.88 | 0.67 | 17,179 | 8.66 | 0.87 | -80.11 | |
| Ceara | 116,079 | 5.21 | 0.91 | 7,322 | 3.69 | 0.37 | -93.69 | |
| Maranhao | 1,553,746 | 69.76 | 12.14 | 126,879 | 63.97 | 6.41 | -91.83 | |
| Paraiba | 2,330 | 0.10 | 0.02 | 167 | 0.08 | 0.01 | -92.83 | |
| Pernambuco | 67,853 | 3.05 | 0.53 | 25,313 | 12.76 | 1.28 | -62.69 | |
| Piaui | 287,854 | 12.92 | 2.25 | 583 | 0.29 | 0.03 | -99.80 | |
| Rio Grande do Norte | 26,750 | 1.20 | 0.21 | 2,603 | 1.31 | 0.13 | -90.27 | |
| Sergipe | 26,808 | 1.20 | 0.21 | 7,653 | 3.86 | 0.39 | -71.45 | |
| Goias | 148,084 | 15.65 | 1.16 | 59,248 | 34.69 | 2.99 | -59.99 | |
| Federal district | 67,545 | 7.14 | 0.53 | 3,002 | 1.76 | 0.15 | -95.56 | |
| Mato Grosso | 268,410 | 28.37 | 2.10 | 50,338 | 29.47 | 2.54 | -81.25 | |
| Mato Grosso do Sul | 462,001 | 48.84 | 3.61 | 58,202 | 34.08 | 2.94 | -87.40 | |
| Espirito Santo | 252,617 | 4.50 | 1.97 | 47,119 | 4.33 | 2.38 | -81.35 | |
| Minas Gerais | 1,306,642 | 23.29 | 10.21 | 249,907 | 22.96 | 12.62 | -80.87 | |
| Rio de Janeiro | 441,287 | 7.87 | 3.45 | 73,697 | 6.77 | 3.72 | -83.30 | |
| Sao Paulo | 3,608,570 | 64.33 | 28.20 | 717,751 | 65.94 | 36.26 | -80.11 | |
| Parana | 2,518,036 | 66.94 | 19.67 | 255,682 | 56.42 | 12.92 | -89.85 | |
| Rio Grande do Sul | 718,903 | 19.11 | 5.62 | 120,777 | 26.65 | 6.10 | -83.20 | |
| Santa Catarina | 524,418 | 13.94 | 4.10 | 76,713 | 16.93 | 3.88 | -85.37 | |
| 12,798,308 | 1,979,467 | -84.53 | ||||||
| <0.001 | ||||||||
Distribution of primary oral care treatments in the Brazilian public health system in 2019 and 2020 and its variation (%).
| 2019 | 2020 | 2019-2020 Variation (%) | ||||||
|---|---|---|---|---|---|---|---|---|
| n | % in the region | % in the country | n | % in the region | % in the country | |||
| Acre | 54.908 | 4.54 | 0.18 | 16.877 | 1.65 | 0.14 | -69.26 | |
| Amapa | 28.559 | 2.36 | 0.09 | 10.087 | 0.99 | 0.08 | -64.68 | |
| Amazonas | 292.754 | 24.20 | 0.96 | 69.545 | 6.81 | 0.58 | -76.24 | |
| Para | 527.149 | 43.57 | 1.73 | 642.580 | 62.90 | 5.37 | 21.90 | |
| Rondonia | 115.687 | 9.56 | 0.38 | 14.935 | 1.46 | 0.12 | -87.09 | |
| Roraima | 8.863 | 0.73 | 0.03 | 3.645 | 0.36 | 0.03 | -58.87 | |
| Tocantins | 182.047 | 15.05 | 0.60 | 263.871 | 25.83 | 2.21 | 44.95 | |
| Alagoas | 31.748 | 0.53 | 0.10 | 10.475 | 0.83 | 0.09 | -67.01 | |
| Bahia | 1.593.051 | 26.73 | 5.23 | 276.354 | 21.80 | 2.31 | -82.65 | |
| Ceara | 732.040 | 12.28 | 2.41 | 177.175 | 13.98 | 1.48 | -75.80 | |
| Maranhao | 1.457.712 | 24.46 | 4.79 | 175.557 | 13.85 | 1.47 | -87.96 | |
| Paraiba | 231.463 | 3.88 | 0.76 | 56.681 | 4.47 | 0.47 | -75.51 | |
| Pernambuco | 657.104 | 11.03 | 2.16 | 206.909 | 16.33 | 1.73 | -68.51 | |
| Piaui | 120.993 | 2.03 | 0.40 | 39.160 | 3.09 | 0.33 | -67.63 | |
| Rio Grande do Norte | 799.275 | 13.41 | 2.63 | 242.384 | 19.12 | 2.03 | -69.67 | |
| Sergipe | 335.476 | 5.63 | 1.10 | 82.738 | 6.53 | 0.69 | -75.34 | |
| Goias | 1.015.008 | 41.26 | 3.34 | 345.294 | 39.56 | 2.89 | -65.98 | |
| Federal district | 55.676 | 2.26 | 0.18 | 33.271 | 3.81 | 0.28 | -40.24 | |
| Mato Grosso | 634.147 | 25.78 | 2.08 | 241.596 | 27.68 | 2.02 | -61.90 | |
| Mato Grosso do Sul | 755.202 | 30.70 | 2.48 | 252.621 | 28.94 | 2.11 | -66.55 | |
| Espirito Santo | 800.104 | 5.07 | 2.63 | 638.244 | 9.08 | 5.33 | -20.23 | |
| Minas Gerais | 4.945.644 | 31.33 | 16.25 | 1449.924 | 20.64 | 12.12 | -70.68 | |
| Rio de Janeiro | 1.219.239 | 7.72 | 4.01 | 429.978 | 6.12 | 3.59 | -64.73 | |
| Sao Paulo | 8.821.085 | 55.88 | 28.98 | 4507.230 | 64.16 | 37.67 | -48.90 | |
| Parana | 2.657.887 | 52.96 | 8.73 | 922.534 | 51.91 | 7.71 | -65.29 | |
| Rio Grande do Sul | 927.222 | 18.48 | 3.05 | 355.008 | 19.98 | 2.97 | -61.71 | |
| Santa Catarina | 1.433.326 | 28.56 | 4.71 | 499.611 | 28.11 | 4.18 | -65.14 | |
| 30,433,369 | 11.964.284 | -60.69 | ||||||
| <0.001 | ||||||||
Distribution of endodontic specialized care in the Brazilian public health system in 2019 and 2020 and its variation (%).
| 2019 | 2020 | 2019-2020 Variation (%) | ||||||
|---|---|---|---|---|---|---|---|---|
| n | % in the region | % in the country | n | % in the region | % in the country | |||
| Acre | 3,282 | 3.76 | 0.25 | 1,049 | 1.79 | 0.17 | -68.04 | |
| Amapa | 746 | 0.85 | 0.06 | 377 | 0.64 | 0.06 | -49.46 | |
| Amazonas | 12,661 | 14.50 | 0.98 | 4,121 | 7.03 | 0.67 | -67.45 | |
| Para | 55,886 | 63.99 | 4.32 | 37,101 | 63.26 | 6.03 | -33.61 | |
| Rondonia | 6,265 | 7.17 | 0.48 | 1,712 | 2.92 | 0.28 | -72.67 | |
| Roraima | 1,638 | 1.88 | 0.13 | 10,841 | 18.48 | 1.76 | 561.84 | |
| Tocantins | 6,856 | 7.85 | 0.53 | 3,447 | 5.88 | 0.56 | -49.72 | |
| Alagoas | 7,534 | 2.80 | 0.58 | 2,902 | 2.55 | 0.47 | -61.48 | |
| Bahia | 40,718 | 15.16 | 3.14 | 22,205 | 19.48 | 3.61 | -45.47 | |
| Ceara | 46,261 | 17.22 | 3.57 | 18,052 | 15.83 | 2.94 | -60.98 | |
| Maranhao | 37,287 | 13.88 | 2.88 | 13,122 | 11.51 | 2.13 | -64.81 | |
| Paraiba | 34,310 | 12.77 | 2.65 | 14,869 | 13.04 | 2.42 | -56.66 | |
| Pernambuco | 48,238 | 17.96 | 3.73 | 21,244 | 18.63 | 3.45 | -55.96 | |
| Piaui | 16,959 | 6.31 | 1.31 | 8,113 | 7.12 | 1.32 | -52.16 | |
| Rio Grande do Norte | 34,175 | 12.72 | 2.64 | 12,728 | 11.16 | 2.07 | -62.76 | |
| Sergipe | 3,143 | 1.17 | 0.24 | 767 | 0.67 | 0.12 | -75.60 | |
| Goias | 40,685 | 34.75 | 3.14 | 25,489 | 41.50 | 4.14 | -37.35 | |
| Federal district | 3,921 | 3.35 | 0.30 | 2,372 | 3.86 | 0.39 | -39.51 | |
| Mato Grosso | 20,659 | 17.65 | 1.60 | 11,143 | 18.14 | 1.81 | -46.06 | |
| Mato Grosso do Sul | 51,815 | 44.26 | 4.00 | 22,414 | 36.49 | 3.64 | -56.74 | |
| Espirito Santo | 28,204 | 4.39 | 2.18 | 14,661 | 5.19 | 2.38 | -48.02 | |
| Minas Gerais | 219,231 | 34.15 | 16.93 | 54,179 | 19.20 | 8.81 | -75.29 | |
| Rio de Janeiro | 82,662 | 12.88 | 6.38 | 41,902 | 14.85 | 6.81 | -49.31 | |
| Sao Paulo | 311,866 | 48.58 | 24.09 | 171,505 | 60.76 | 27.88 | -45.01 | |
| Parana | 93,461 | 51.97 | 7.22 | 46,814 | 47.41 | 7.61 | -49.91 | |
| Rio Grande do Sul | 34,435 | 19.15 | 2.66 | 22,440 | 22.73 | 3.65 | -34.83 | |
| Santa Catarina | 51,946 | 28.88 | 4.01 | 29,482 | 29.86 | 4.79 | -43.24 | |
| 1,294,844 | 615,051 | -52.50 | ||||||
| <0.001 | ||||||||
Distribution of periodontal and oral surgery specialized care in the Brazilian public health system in 2019 and 2020 and its variation (%).
| 2019 | 2020 | 2019-2020 Variation (%) | ||||||
|---|---|---|---|---|---|---|---|---|
| n | % in the region | % in the country | n | % in the region | % in the country | |||
| Acre | 3,273 | 1.33 | 0.13 | 1,625 | 1.35 | 0.14 | -50.35 | |
| Amapa | 4,298 | 1.75 | 0.17 | 2,133 | 1.77 | 0.19 | -50.37 | |
| Amazonas | 47,603 | 19.33 | 1.93 | 20,781 | 17.27 | 1.85 | -56.35 | |
| Para | 149,880 | 60.87 | 6.06 | 83,993 | 69.82 | 7.48 | -43.96 | |
| Rondonia | 21,889 | 8.89 | 0.89 | 2,555 | 2.12 | 0.23 | -88.33 | |
| Roraima | 2,512 | 1.02 | 0.10 | 1,999 | 1.66 | 0.18 | -20.42 | |
| Tocantins | 16,775 | 6.81 | 0.68 | 7,217 | 6.00 | 0.64 | -56.98 | |
| Alagoas | 25,370 | 3.57 | 1.03 | 9,841 | 3.02 | 0.88 | -61.21 | |
| Bahia | 143,410 | 20.15 | 5.80 | 73,184 | 22.44 | 6.51 | -48.97 | |
| Ceara | 172,355 | 24.22 | 6.97 | 65,522 | 20.09 | 5.83 | -61.98 | |
| Maranhao | 32,626 | 4.58 | 1.32 | 51,577 | 15.82 | 4.59 | 58.09 | |
| Paraiba | 108,055 | 15.18 | 4.37 | 47,202 | 14.48 | 4.20 | -56.32 | |
| Pernambuco | 112,699 | 15.84 | 4.56 | 39,665 | 12.16 | 3.53 | -64.80 | |
| Piaui | 56,301 | 7.91 | 2.28 | 22,249 | 6.82 | 1.98 | -60.48 | |
| Rio Grande do Norte | 42,700 | 6.00 | 1.73 | 11,972 | 3.67 | 1.07 | -71.96 | |
| Sergipe | 18,095 | 2.54 | 0.73 | 4,857 | 1.49 | 0.43 | -73.16 | |
| Goias | 88,841 | 48.55 | 3.59 | 41,139 | 51.80 | 3.66 | -53.69 | |
| Federal district | 16,636 | 9.09 | 0.67 | 11,387 | 14.34 | 1.01 | -31.55 | |
| Mato Grosso | 35,623 | 19.47 | 1.44 | 12,008 | 15.12 | 1.07 | -66.29 | |
| Mato Grosso do Sul | 41,907 | 22.90 | 1.69 | 14,892 | 18.75 | 1.33 | -64.46 | |
| Espirito Santo | 24,180 | 2.30 | 0.98 | 9,839 | 2.07 | 0.88 | -59.31 | |
| Minas Gerais | 231,601 | 21.99 | 9.37 | 87,752 | 18.44 | 7.81 | -62.11 | |
| Rio de Janeiro | 261,636 | 24.84 | 10.58 | 162,062 | 34.06 | 14.43 | -38.06 | |
| Sao Paulo | 535,732 | 50.87 | 21.66 | 216,118 | 45.42 | 19.24 | -59.66 | |
| Parana | 115,068 | 41.27 | 4.65 | 50,897 | 41.75 | 4.53 | -55.77 | |
| Rio Grande do Sul | 75,295 | 27.00 | 3.04 | 38,336 | 31.45 | 3.41 | -49.09 | |
| Santa Catarina | 88,478 | 31.73 | 3.58 | 32,669 | 26.80 | 2.91 | -63.08 | |
| 2,472,838 | 1,123,471 | -54.57 | ||||||
| <0.001 | ||||||||
Fig. 2Graphical comparison considering (A) the reduction of dental procedures provided by the Brazilian public health system in 2020 compared to the same period of 2019, the number of (B) confirmed COVID-19 cases and (C) deaths of the different Brazilian states.
| Item No | Recommendation | |
| 1 | ( | |
| ( | ||
| Introduction | ||
| Background/rationale | 2 | Explain the scientific background and rationale for the investigation being reported |
| Objectives | 3 | State specific objectives, including any prespecified hypotheses |
| Methods | ||
| Study design | 4 | Present key elements of study design early in the paper |
| Setting | 5 | Describe the setting, locations, and relevant dates, including periods of recruitment, exposure, follow-up, and data collection |
| Participants | 6 | ( |
| Variables | 7 | Clearly define all outcomes, exposures, predictors, potential confounders, and effect modifiers. Give diagnostic criteria, if applicable |
| Data sources/ measurement | 8 | For each variable of interest, give sources of data and details of methods of assessment (measurement). Describe comparability of assessment methods if there is more than one group |
| Bias | 9 | Describe any efforts to address potential sources of bias |
| Study size | 10 | Explain how the study size was arrived at |
| Quantitative variables | 11 | Explain how quantitative variables were handled in the analyses. If applicable, describe which groupings were chosen and why |
| Statistical methods | 12 | ( |
| ( | ||
| ( | ||
| ( | ||
| ( | ||
| Results | ||
| Participants | 13 | (a) Report numbers of individuals at each stage of study—eg numbers potentially eligible, examined for eligibility, confirmed eligible, included in the study, completing follow-up, and analysed |
| (b) Give reasons for non-participation at each stage | ||
| (c) Consider use of a flow diagram | ||
| Descriptive data | 14 | (a) Give characteristics of study participants (eg demographic, clinical, social) and information on exposures and potential confounders |
| (b) Indicate number of participants with missing data for each variable of interest | ||
| Outcome data | 15 | Report numbers of outcome events or summary measures |
| Main results | 16 | ( |
| ( | ||
| ( | ||
| Other analyses | 17 | Report other analyses done—eg analyses of subgroups and interactions, and sensitivity analyses |
| Discussion | ||
| Key results | 18 | Summarise key results with reference to study objectives |
| Limitations | 19 | Discuss limitations of the study, taking into account sources of potential bias or imprecision. Discuss both direction and magnitude of any potential bias |
| Interpretation | 20 | Give a cautious overall interpretation of results considering objectives, limitations, multiplicity of analyses, results from similar studies, and other relevant evidence |
| Generalisability | 21 | Discuss the generalisability (external validity) of the study results |
| Other information | ||
| Funding | 22 | Give the source of funding and the role of the funders for the present study and, if applicable, for the original study on which the present article is based |
Give information separately for exposed and unexposed groups.
Note: An Explanation and Elaboration article discusses each checklist item and gives methodological background and published examples of transparent reporting. The STROBE checklist is best used in conjunction with this article (freely available on the Web sites of PLoS Medicine at http://www.plosmedicine.org/, Annals of Internal Medicine at http://www.annals.org/, and Epidemiology at http://www.epidem.com/). Information on the STROBE Initiative is available at www.strobe-statement.org.