| Literature DB >> 35923276 |
Ianka Cristina Celuppi1, Geovana Dos Santos Lima1, Alessandra Castro2, Joao Pedro T Souza2, Leonardo Mello2, Gustavo Hoff2, Mariano Felisberto1, Celio Luiz Cunha1, Jades Fernando Hammes1, Raul Sidnei Wazlawick1, Eduardo M Dalmarco1.
Abstract
Problem: The coronavirus disease 2019 (COVID-19) pandemic posed a major workforce challenge to Brazil, which has a large land area and a shortage of health workers in regions distant from the big cities. Approach: The Brazilian health ministry implemented a computerized solution to provide rapid support to states and municipalities to hire health professionals from large urban centres to work in underserved areas during the COVID-19 pandemic. We designed an online system for health professionals to register their willingness to work on the COVID-19 response; the system was launched to the public in April 2020. Local setting: Brazil is a large country with great heterogeneity in access to health care across its different regions. Before the initiative was launched, 5 156 020 health professionals were officially registered with professional councils. However, an estimated 3 200 000, more than 60% of them, were working in the two regions with the highest standard of living. Relevant changes: Up to February 2022, 1 007 138 health professionals had self-registered on the system, providing a sizeable database of professionals from a range of disciplines. Of these, 371 275 professionals were willing to work on the COVID-19 response in remote areas. By 1 February 2022, 157 755 professionals have been trained and deployed to these underserved areas. Lessons learnt: Partnership of the government with professional councils and the use of official communication channels were important strategies to improve registration and ensure the success of the scheme. We predict that the database will assist with future public health campaigns in Brazil. (c) 2022 The authors; licensee World Health Organization.Entities:
Mesh:
Year: 2022 PMID: 35923276 PMCID: PMC9306386 DOI: 10.2471/BLT.22.288060
Source DB: PubMed Journal: Bull World Health Organ ISSN: 0042-9686 Impact factor: 13.831
Total number of registrations in the initiative to recruit health professionals to the COVID-19 response, Brazil, February 2022
| Professional council | Total no. of health professionals | No. (%) fully registered in the initiative |
|---|---|---|
| Federal Council of Nursing | 2 262 846 | 159 735 (7.1) |
| Federal Council of Physiotherapy and Occupational Therapy | 155 390 | 134 911 (86.8) |
| Federal Council of Dentistry | 329 432 | 133 742 (40.6) |
| Federal Council of Pharmacy | 331 007 | 113 001 (34.1) |
| Federal Council of Nutrition | 149 025 | 98 691 (66.2) |
| Federal Council of Physical Education | 450 000 | 83 561 (18.6) |
| Federal Council of Veterinary | 139 596 | 69 966 (50.1) |
| Federal Council of Psychology | 363 847 | 64 518 (17.7) |
| Federal Council of Medicine | 496 997 | 35 216 (7.1) |
| Federal Council of Biomedicine | 57 665 | 28 697 (49.8) |
| Federal Council of Speech Therapy | 45 123 | 24 810 (55.0) |
| Federal Council of Social Work | 190 693 | 22 933 (12.0) |
| Federal Council of Biology | 63 095 | 21 962 (34.8) |
| National Council of Radiology Technicians | 121 304 | 15 813 (13.0) |
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COVID-19: coronavirus disease 2019.
Source: Data from the professional councils.
Health professionals registered and willing to work on the COVID-19 response in remote areas by states and regions in Brazil, February 2022
| Estate or State | Populationa | No. of health professionals | |
|---|---|---|---|
| Completed registration | Willing to work on the COVID-19 response in remote areas | ||
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| Acre | 733 559 | 2 444 | 1 440 |
| Amapá | 669 526 | 3 898 | 1 990 |
| Amazonas | 3 483 985 | 15 951 | 8 559 |
| Pará | 7 581 051 | 16 843 | 8 162 |
| Rondônia | 1 562 409 | 6 351 | 3 083 |
| Roraima | 450 479 | 2 261 | 1 115 |
| Tocantins | 1 383 445 | 4 723 | 2 084 |
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| Alagoas | 3 120 494 | 10 841 | 4 887 |
| Bahia | 14 016 906 | 48 644 | 20 515 |
| Ceará | 8 452 381 | 28 999 | 12 207 |
| Maranhão | 6 574 789 | 12 842 | 6 002 |
| Paraíba | 3 766 528 | 17 802 | 6 620 |
| Pernambuco | 8 796 448 | 32 351 | 12 518 |
| Piauí | 3 118 360 | 11 067 | 4 472 |
| Rio Grande do Norte | 3 168 027 | 13 980 | 6 245 |
| Sergipe | 2 068 017 | 9 292 | 3 903 |
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| Federal District | 2 570 160 | 27 756 | 13 573 |
| Goiás | 6 003 788 | 28 528 | 11 385 |
| Mato Grosso | 3 035 122 | 13 360 | 5 730 |
| Mato Grosso do Sul | 2 449 024 | 13 995 | 5 840 |
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| Espírito Santo | 3 514 952 | 20 686 | 7 453 |
| Minas Gerais | 19 597 330 | 99 753 | 35 666 |
| Rio de Janeiro | 15 989 929 | 91 472 | 31 215 |
| São Paulo | 41 262 199 | 286 434 | 92 993 |
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| Paraná | 8 912 692 | 62 035 | 21 404 |
| Rio Grande do Sul | 10 693 929 | 76 510 | 26 556 |
| Santa Catarina | 6 248 436 | 48 748 | 15 628 |
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COVID-19: coronavirus disease 2019.
a Based on the last official census in 2010.
Source: Data from the health ministry dashboard extracted on 16 February 2022.