Factors Associated with Epidemiological, Preventive and Health Care Knowledge of Dentists from North of the Peruvian Capital about COVID-19: A Cross-Sectional Study under a Predictive Model
Abstract
:1. Introduction
2. Materials and Methods
2.1. Type of Study and Delimitation
2.2. Population and Selection of Participants
2.2.1. Inclusion Criteria
- Professional dentists from DIRIS North Lima division.
- Contracted or appointed dentists who worked in the 2022—I semester.
- Dentists who gave informed and voluntary consent.
- Dentists of Peruvian nationality.
- Dentists who completed their undergraduate studies in Peru.
2.2.2. Exclusion Criteria
2.3. Study Variables
2.4. Application of the Questionnaire
2.5. Procedure
2.6. Statistical Analysis
2.7. Bioethical Considerations
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Epidemiological Knowledge |
(1) What is the name given by WHO to the coronavirus that has caused a current pandemic (2020)? |
(2) What is the maximum incubation period of coronavirus 2019 according to updated and accredited scientific reports? |
(3) Main form of COVID-19 direct transmission: |
(4) It is NOT a characteristic symptom of coronavirus disease 2019: |
(5) We can say that COVID-19 is of mild severity when there is an acute respiratory infection with at least 2 of the following symptoms: |
(6) Which age group is most at risk for severe symptoms of coronavirus disease 2019? |
(7) Which systemic condition is NOT considered a risk factor for severe coronavirus disease 2019? |
(8) How long does the COVID- 19 virus remain suspended in aerosol in the environment? |
(9) To which level of occupational risk of exposure to COVID-19 do dentists belong? |
Preventive Knowledge |
(10) What is NOT the most effective measure in the general population to prevent the risk of coronavirus 2019 disease transmission? |
(11) To avoid complications of coronavirus disease, all health care workers should be vaccinated against |
(12) WHO recommends that hand washing should be performed before and after patient care by at least |
(13) It is NOT one of the recommended disinfectants for surfaces in clinical contact areas and prevent coronavirus infection 2019. |
Healthcare Knowledge |
(14) PPE (personal protective equipment) for use by dental care personnel should consist of: |
(15) Of the following PPE items, which one is not allowed to be reused? |
(16) Which mask is the most suitable for clinical personnel in aerosol-generating procedures? |
(17) NOT a recommendation for dental care during the COVID-19 pandemic: |
(18) What measure do you consider NOT effective in minimizing aerosol production during dental care treatment? |
(19) Prior to the dental procedure, mouth rinses are recommended to decrease the coronavirus 2019 viral load, such as: |
(20) Ideal diagnostic imaging test in dental practice to avoid generation of aerosols. |
Variable | Category | Frequency | Percentage |
---|---|---|---|
Age group | <46 years | 69 | 48.6 |
≥46 years | 73 | 51.4 | |
Sex | Male | 73 | 51.4 |
Female | 69 | 48.6 | |
Marital status | Unmarried | 46 | 32.4 |
Married | 96 | 67.6 | |
Children | 1 to 3 children | 123 | 86.6 |
>3 Children | 19 | 13.4 | |
Origin | Capital | 91 | 64.1 |
Province | 51 | 35.9 | |
University of origin | Private | 71 | 50.0 |
Public | 71 | 50.0 | |
Academic degree | Specialization | 24 | 16.9 |
Master | 35 | 24.6 | |
Both | 15 | 10.6 | |
None | 68 | 47.9 | |
Work modality | On-site | 92 | 64.8 |
Remote | 34 | 23.9 | |
Hybrid | 16 | 11.3 | |
Work status | Appointed | 66 | 46.5 |
Not appointed | 76 | 53.5 | |
Number of training courses | 4 a 6 | 19 | 13.4 |
1 a 3 | 104 | 73.2 | |
None | 19 | 13.4 | |
Age | Mean | Median | SD |
46.5 | 46 | 8.8 |
Variable | Category | Epidemiological | Preventive | Health Care | Overall | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fair | Good | * p | Fair | Good | * p | Fair | Good | * p | Fair | Good | * p | ||
f (%) | f (%) | f (%) | f (%) | f (%) | f (%) | f (%) | f (%) | ||||||
Age group | <46 years | 14 (9.9) | 55 (38.7) | 0.414 | 23 (16.2) | 46 (32.4) | 0.775 | 46 (32.4) | 23 (16.2) | 0.036 | 17 (12.0) | 52 (36.6) | 0.319 |
≥46 years | 11 (7.7) | 62 (43.7) | 26 (18.3) | 47 (33.1) | 36 (25.4) | 37 (26.1) | 13 (9.2) | 60 (42.3) | |||||
Sex | Male | 14 (9.9) | 59 (41.5) | 0.613 | 27 (19.0) | 46 (32.4) | 0.523 | 50 (35.2) | 23 (16.2) | 0.008 | 15 (10.6) | 58 (40.8) | 0.862 |
Female | 11 (7.7) | 58 (40.8) | 22 (15.5) | 47 (33.1) | 32 (22.5) | 37 (26.1) | 15 (10.6) | 54 (38.0) | |||||
Marital status | Unmarried | 3 (2.1) | 43 (30.3) | 0.016 | 6 (4.2) | 40 (28.2) | <0.001 | 18 (12.7) | 28 (19.7) | 0.002 | 7 (4.9) | 39 (27.5) | 0.232 |
Married | 22 (15.5) | 74 (52.1) | 43 (30.3) | 53 (37.3) | 64 (45.1) | 32 (22.5) | 23 (16.2) | 73 (51.4) | |||||
Children | 1 to 3 children | 16 (11.3) | 107 (75.4) | 0.001 a | 34 (23.9) | 89 (62.7) | <0.001 | 65 (45.8) | 58 (40.8) | 0.003 | 21 (14.8) | 102 (71.8) | 0.021 a |
>3 children | 9 (6.3) | 10 (7.0) | 15 (10.6) | 4 (2.8) | 17 (12.0) | 2 (1.4) | 9 (6.3) | 10 (7.0) | |||||
Origin | Capital | 20 (14.1) | 71 (50.0) | 0.068 | 42 (29.6) | 49 (34.5) | <0.001 | 54 (38.0) | 37 (26.1) | 0.607 | 22 (15.5) | 69 (48.6) | 0.234 |
Province | 5 (3.5) | 46 (32.4) | 7 (4.9) | 44 (31.0) | 28 (19.7) | 23 (16.2) | 8 (5.6) | 43 (30.3) | |||||
University of origin | Private | 10 (7.0) | 61 (43.0) | 0.271 | 12 (8.5) | 59 (41.5) | <0.001 | 43 (30.3) | 28 (19.7) | 0.497 | 8 (5.6) | 63 (44.4) | 0.004 |
Public | 15 (10.6) | 56 (39.4) | 37 (26.1) | 34 (23.9) | 39 (27.5) | 32 (22.5) | 22 (15.5) | 49 (34.5) | |||||
Academic degree | Specialization | 0 (0.0) | 24 (16.9) | 0.021 a | 12 (8.5) | 12 (8.5) | 0.081 | 16 (11.3) | 8 (5.6) | 0.781 | 0 (0.0) | 24 (16.9) | 0.030 |
Master | 5 (3.5) | 30 (21.1) | 10 (7.0) | 25 (17.6) | 19 (13.4) | 16 (11.3) | 11 (7.7) | 24 (16.9) | |||||
Both | 4 (2.8) | 11 (7.7) | 8 (5.6) | 7 (4.9) | 9 (6.3) | 6 (4.2) | 4 (2.8) | 11 (7.7) | |||||
None | 16 (11.3) | 52 (36.6) | 19 (13.4) | 49 (34.5) | 38 (26.8) | 30 (21.1) | 15 (10.6) | 53 (37.3) | |||||
Work modality | On-site | 16 (11.3) | 76 (53.5) | 0.072 | 34 (23.9) | 58 (40.8) | 0.007 | 41 (28.9) | 51 (35.9) | <0.001 | 20 (14.1) | 72 (50.7) | 0.058 |
Remote | 9 (6.3) | 25 (17.6) | 15 (10.6) | 19 (13.4) | 31 (21.8) | 3 (2.1) | 10 (7.0) | 24 (16.9) | |||||
Hybrid | 0 (0.0) | 16 (11.3) | 0 (0.0) | 16 (11.3) | 10 (7.0) | 6 (4.2) | 0 (0.0) | 16 (11.3) | |||||
Work status | Appointed | 20 (14.1) | 46 (32.4) | <0.001 | 24 (16.9) | 42 (29.6) | 0.665 | 45 (31.7) | 21 (14.8) | 0.019 | 15 (10.6) | 51 (35.9) | 0.663 |
Not Appointed | 5 (3.5) | 71 (50.0) | 25 (17.6) | 51 (35.9) | 37 (26.1) | 39 (27.5) | 15 (10.6) | 61 (43.0) | |||||
Number of training courses | 4 a 6 | 9 (6.3) | 10 (7.0) | <0.001 a | 9 (6.3) | 10 (7.0) | 0.004 | 11 (7.7) | 8 (5.6) | 0.043 | 9 (6.3) | 10 (7.0) | 0.001 a |
1 a 3 | 9 (6.3) | 95 (66.9) | 28 (19.7) | 76 (53.5) | 65 (45.8) | 39 (27.5) | 19 (13.4) | 85 (59.9) | |||||
None | 7 (4.9) | 12 (8.5) | 12 (8.5) | 7 (4.9) | 6 (4.2) | 13 (9.2) | 2 (1.4) | 17 (12.0) |
Variable | Category | β | OR | 95% CI | * p | |
---|---|---|---|---|---|---|
LL | UL | |||||
Age group | <46 years | 0.169 | 7.991 | 1.790 | 35.680 | 0.006 |
≥46 years | Ref. | |||||
Marital Status | Single | −0.357 | 0.054 | 0.011 | 0.260 | <0.001 |
Married | Ref. | |||||
Children | 1 to 3 children | −0.576 | 0.003 | 0.000 | 0.065 | <0.001 |
>3 children | Ref. | |||||
University of origin | Private | −0.264 | 0.094 | 0.023 | 0.384 | <0.001 |
Public | Ref. | |||||
Academic degree | Specialization | 0.458 | 276.624 | 12.217 | 6263.669 | <0.001 |
Master | 0.158 | 6.682 | 1.161 | 38.448 | 0.033 | |
None | Ref. | |||||
Work modality | On-site | 0.546 | 274.649 | 21.105 | 3574.095 | <0.001 |
Hybrid | Ref. | |||||
Number of training courses | 4 to 6 | −0.272 | 0.022 | 0.002 | 0.238 | 0.002 |
None | Ref. | |||||
Constant | 1.016 | 0.010 |
Predictive Model | Variable to Predict (Y *) |
---|---|
Y | |
Fair overall knowledge |
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Aquiles-Barzola, F.; Verástegui-Sandoval, A.; Machco-Pasmiño, H.; Córdova-Limaylla, N.; Ladera-Castañeda, M.; Cervantes-Ganoza, L.; Cayo-Rojas, C. Factors Associated with Epidemiological, Preventive and Health Care Knowledge of Dentists from North of the Peruvian Capital about COVID-19: A Cross-Sectional Study under a Predictive Model. Int. J. Environ. Res. Public Health 2023, 20, 1020. https://doi.org/10.3390/ijerph20021020
Aquiles-Barzola F, Verástegui-Sandoval A, Machco-Pasmiño H, Córdova-Limaylla N, Ladera-Castañeda M, Cervantes-Ganoza L, Cayo-Rojas C. Factors Associated with Epidemiological, Preventive and Health Care Knowledge of Dentists from North of the Peruvian Capital about COVID-19: A Cross-Sectional Study under a Predictive Model. International Journal of Environmental Research and Public Health. 2023; 20(2):1020. https://doi.org/10.3390/ijerph20021020
Chicago/Turabian StyleAquiles-Barzola, Flor, Arturo Verástegui-Sandoval, Heriberto Machco-Pasmiño, Nancy Córdova-Limaylla, Marysela Ladera-Castañeda, Luis Cervantes-Ganoza, and César Cayo-Rojas. 2023. "Factors Associated with Epidemiological, Preventive and Health Care Knowledge of Dentists from North of the Peruvian Capital about COVID-19: A Cross-Sectional Study under a Predictive Model" International Journal of Environmental Research and Public Health 20, no. 2: 1020. https://doi.org/10.3390/ijerph20021020
APA StyleAquiles-Barzola, F., Verástegui-Sandoval, A., Machco-Pasmiño, H., Córdova-Limaylla, N., Ladera-Castañeda, M., Cervantes-Ganoza, L., & Cayo-Rojas, C. (2023). Factors Associated with Epidemiological, Preventive and Health Care Knowledge of Dentists from North of the Peruvian Capital about COVID-19: A Cross-Sectional Study under a Predictive Model. International Journal of Environmental Research and Public Health, 20(2), 1020. https://doi.org/10.3390/ijerph20021020