| Literature DB >> 35774773 |
Alberto Sumiya1, Eloisa Pavesi1, Carla Fabiana Tenani2, Carlos Podalirio Borges de Almeida3, Juliberta Alves Macêdo4, Maria Helena Ribeiro de Checchi4, Luan César Ferreira Simões4, Rafael de Menezes Reis4, Celita Salmaso Trelha5.
Abstract
Introduction: The coronavirus disease 2019 (COVID-19) pandemic has posed challenges to healthcare professionals, who needed to quickly adjust impacts on their work processes. Primary health care has become key to fighting the pandemic, as most mild cases seek primary care services as their point of first contact.Entities:
Keywords: and practice in health; attitudes; coronavirus infections; health personnel; knowledge; primary health care; work
Year: 2021 PMID: 35774773 PMCID: PMC9137859 DOI: 10.47626/1679-4435-2021-775
Source DB: PubMed Journal: Rev Bras Med Trab ISSN: 1679-4435
Sociodemographic profile of primary health care (PHC) providers
| Variable | MS (n = 50) | PR (n = 86) | SP (n = 48) | Total |
|---|---|---|---|---|
| n (%) | n (%) | n (%) | n (%) | |
| Age, mean (standard deviation) | 37.8 (8.4) | 39.31 (8.3) | 40.1 (8.2) | - |
| Sex | ||||
| Female | 41 (82.0) | 80 (93.0) | 43 (89.5) | 164 (89.1) |
| Male | 9 (18.0) | 6 (6.9) | 5 (10.4) | 20 (10.9) |
| Educational attainment | ||||
| Specialist | 23 (46.0) | 50 (58.1) | 32 (66.6) | 105 (57.4) |
| Undergraduate | 18 (36.0) | 8 (9.3) | 7 (14.5) | 33 (18.1) |
| Master’s degree | 3 (6.0) | 15 (17.4) | 5 (10.4) | 23 (12.5) |
| Secondary | 6 (12.0) | 8 (9.3) | 1 (2.0) | 15 (8.2) |
| Doctoral degree | - | 5 (5.8) | 2 (4.1) | 7 (3.8) |
| Occupation | ||||
| Physical therapist | 1 (2.0) | 39 (45.3) | 17 (35.4) | 57 (31.6) |
| Nurse | 9 (18.0) | 10 (11.6) | 4 (8.3) | 23 (12.4) |
| Dentist | 7 (14.0) | 4 (4.6) | 4 (8.3) | 15 (8.3) |
| Community health agent | 3 (6.0) | 8 (9.3) | - | 11 (6.1) |
| Psychologist | 3 (6.0) | 2 (2.3) | 6 (12.5) | 11 (6.1) |
| Nurse technician | 6 (12.0) | 3 (3.4) | 1 (2.0) | 10 (5.6) |
| Dietitian | 4 (8.0) | 3 (3.4) | 3 (6.2) | 10 (5.6) |
| Social worker | 6 (12.0) | 1 (1.1) | 2 (4.1) | 9 (4.9) |
| Pharmacist | 3 (6.0) | 4 (4.6) | - | 7 (3.8) |
| Speech and language pathologist | 2 (4.0) | 2 (2.3) | 3 (6.2) | 7 (3.8) |
| Physician | 3 (6.0) | - | 3 (6.2) | 6 (3.3) |
| Nursing aide | - | 4 (4.6) | - | 4 (2.2) |
| Physical education specialist | - | 3 (3.4) | - | 3 (1.6) |
| Occupational therapist | - | 2 (2.3) | - | 2 (1.1) |
| Dental hygienist | 2 (4.0) | - | - | 2 (1.1) |
| Health aide | - | - | 2 (4.1) | 2 (1.1) |
| Field disease control officer | 1 (2.0) | - | - | 1 (0.5) |
| Veterinarian | - | 1 (1.1) | - | 1 (0.5) |
| Biologist | - | - | 1 (2.0) | 1 (0.5) |
| Time on job | ||||
| 1 to 5 years | 18 (36.0) | 34 (39.5) | 17 (35.4) | 69 (37.6) |
| 6 to 10 years | 10 (20.0) | 19 (22.0) | 11 (22.9) | 40 (21.7) |
| 11 to 15 years | 8 (16.0) | 13 (15.1) | 3 (6.2) | 24 (13.1) |
| 20 years and over | 3 (6.0) | 9 (10.4) | 8 (16.6) | 20 (10.8) |
| 1 to 12 months | 7 (14.0) | 4 (4.6) | 5 (10.4) | 16 (8.7) |
| 16 to 20 years | 4 (8.0) | 7 (8.1) | 4 (8.3) | 15 (8.1) |
MS = state of Mato Grosso do Sul; PR = state of Paraná; SP = state of São Paulo.
Level of knowledge, frequency of information-seeking and sources of information, and implemented changes
| Variable | MS (n = 50) | PR (n = 86) | SP (n = 48) | Total |
|---|---|---|---|---|
| n (%) | n (%) | n (%) | n (%) | |
| Level of knowledge about modes of contagion | ||||
| Moderate knowledge | 29 (58.0) | 51 (59.3) | 20 (41.6) | 100 (54.3) |
| Ample knowledge | 21 (42.0) | 33 (38.3) | 27 (56.2) | 81 (44.1) |
| Limited knowledge | - | 2 (2.3) | 1 (2.0) | 3 (1.6) |
| Frequency of information-seeking | ||||
| Daily | 34 (68.0) | 50 (58.1) | 33 (68.7) | 117 (63.5) |
| 3 to 4 times a week | 9 (18.0) | 20 (23.2) | 7 (14.5) | 36 (19.6) |
| Once or twice a week | 6 (12.0) | 14 (16.2) | 8 (16.6) | 28 (15.3) |
| Can’t say | 1 (2.0) | 2 (2.3) | - | 3 (1.6) |
| Sources from which information is sought | ||||
| Handbooks and technical guidance documents | 48 (96.0) | 77 (89.5) | 40 (83.3) | 165 (89.6) |
| Scholarly publications | 27 (54.0) | 45 (52.3) | 30 (62.5) | 102 (55.4) |
| Peer conversations | 22 (44.0) | 45 (52.3) | 31 (64.5) | 98 (53.2) |
| Social media | 28 (56.0) | 45 (52.3) | 19 (39.5) | 92 (50.0) |
| Radio and TV | 24 (48.0) | 45 (52.3) | 20 (41.6) | 89 (48.3) |
| Belief in effect of prevention measures | ||||
| Large effect | 42 (84.0) | 69 (80.2) | 45 (93.7) | 156 (84.7) |
| Moderate effect | 7 (14.0) | 16 (18.6) | 3 (6.2) | 26 (14.2) |
| Little effect | 1 (2.0) | 1 (1.1) | - | 2 (1.1) |
| Changes implemented* | ||||
| Frequent hand hygiene | 47 (94.0) | 85 (98.8) | 46 (95.8) | 178 (96.7) |
| Social isolation | 44 (88.0) | 82 (95.3) | 47 (97.9) | 173 (94.0) |
| Use of personal protective equipment | 45 (90.0) | 83 (96.5) | 45 (93.7) | 173 (94.0) |
| Avoidance of visits | 37 (74.0) | 79 (91.8) | 44 (91.6) | 160 (86.9) |
| Leaving house only when necessary | 38 (76.0) | 75 (87.2) | 44 (91.6) | 157 (85.3) |
| Coughing/sneezing into elbow | 37 (74.0) | 64 (74.4) | 39 (81.2) | 140 (76.0) |
| Staying 2 m apart from others | 27 (54.0) | 56 (65.1) | 34 (70.8) | 117 (63.5) |
| PPE use (%) | ||||
| Yes | 49 (98.0) | 84 (97.6) | 47 (97.9) | 180 (97.8) |
| No | 1 (2.0) | 2 (2.3) | 1 (2.0) | 4 (2.2) |
MS = state of Mato Grosso do Sul; PPE = personal protective equipment; PR = state of Parana; SP = state of Sao Paulo.
Figure 1Level of knowledge about modes of contagion.
Training, preparedness, and areas where additional training required
| Variable | MS (n = 50) | PR (n = 86) | SP (n = 48) | Total |
|---|---|---|---|---|
| n (%) | n (%) | n (%) | n (%) | |
| Received training | ||||
| Yes | 25 (50.0) | 49 (56.9) | 23 (47.9) | 97 (52.7) |
| No | 25 (50.0) | 37 (43.0) | 25 (52.0) | 87 (47.3) |
| Feels prepared | ||||
| Moderately prepared | 33 (66.0) | 45 (52.3) | 28 (58.3) | 106 (57.6) |
| Poorly prepared | 10 (20.0) | 34 (39.5) | 12 (25.0) | 56 (30.5) |
| Very prepared | 5 (10.0) | 3 (3.4) | 3 (6.2) | 11 (5.9) |
| Unprepared | 2 (4.0) | 2 (2.3) | 3 (6.2) | 7 (3.8) |
| Can’t say | - | 2 (2.3) | 2 (4.1) | 4 (2.1) |
| Areas where skills need improvement | ||||
| Clinical management | 23 (46.0) | 56 (65.1) | 29 (60.4) | 108 (58.6) |
| PPE | 25 (50.0) | 40 (46.5) | 18 (37.5) | 83 (45.1) |
| Prevention | 27 (54.0) | 34 (39.5) | 18 (37.5) | 79 (42.9) |
| Surveillance | 20 (40.0) | 35 (40.6) | 15 (31.2) | 70 (38.0) |
| Screening | 18 (36.0) | 32 (37.2) | 13 (27.0) | 63 (34.2) |
| Communication | 13 (26.0) | 23 (26.7) | 12 (25.0) | 48 (26.0) |
| No improvement needed | 2 (4.0) | - | 1 (2.0) | 3 (1.6) |
| Preferred training modality | ||||
| Face-to-face | 30 (60.0) | 56 (65.1) | 30 (62.2) | 116 (63.0) |
| Online courses | 26 (52.0) | 44 (51.1) | 32 (66.6) | 102 (55.4) |
| Mobile apps | 17 (34.0) | 26 (30.2) | 22 (45.8) | 65 (35.3) |
| Webinars | 13 (26.0) | 27 (31.3) | 19 (39.5) | 59 (32.0) |
| Lectures | 5 (10.0) | 24 (27.9) | 14 (29.1) | 43 (23.3) |
MS = state of Mato Grosso do Sul; PPE = personal protective equipment; PR = state of Parana; SP = state of Sao Paulo.
Figure 2Level of preparedness to respond to coronavirus disease 2019 (COVID-19).