Influence of the COVID-19 Pandemic on Dental Emergency Admissions in an Urgent Dental Care Service in North Italy
Abstract
1. Introduction
2. Materials and Methods
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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Time Periods | ≤18 Years | 19–65 Years | >65 Years | ||||
---|---|---|---|---|---|---|---|
Female n (%) | Male n (%) | Female n (%) | Male n (%) | Female n (%) | Male n (%) | TOTAL | |
n (%) | |||||||
pre-COVID | 10 (16.13%) | 27 (27.27%) | 78 (30.59%) | 113 (33.43%) | 23 (31.94%) | 34 (45.33%) | 285 (28.63%) |
Lockdown | 1 (1.61%) | 5 (5.05%) | 32 (12.55%) | 44 (13.02%) | 3 (4.17%) | 8 (10.67%) | 93 (10.32%) |
Reopening | 41 (66.13%) | 48 (48.48%) | 96 (37.65%) | 116 (34.32%) | 31 (43.06%) | 21 (28.00%) | 353 (39.18%) |
Second wave | 10 (16.13%) | 19 (19.19%) | 49 (19.22%) | 65 (19.23%) | 15 (20.83%) | 12 (16.00%) | 170 (18.87%) |
TOTAL | 62 (100.00%) | 99 (100.00%) | 255 (100.00%) | 338 (100.00%) | 72 (100.00%) | 75 (100.00%) | 901 (100.00%) |
Fisher’s ET p = 0.13 | χ2(3) = 0.84, p = 0.84 | Fisher’s ET p = 0.09 |
Oral Diagnosis | |||||||
---|---|---|---|---|---|---|---|
Time Periods | Endodontic Emergencies | Cellulitis/Phlegmon | Periodontal Emergencies | Trauma | Other | TOTAL | Statistical Analysis |
n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | ||
pre-COVID | 143 (32.35%) | 30 (25.21%) | 39 (31.97%) | 24 (47.06%) | 49 (30.26%) | 285 (28.63%) | χ2(4) = 73.90 p < 0.01 |
Lockdown | 42 (9.50%) | 22 (18.49%) | 14 (11.48%) | 4 (7.84%) | 11 (7.24%) | 93 (10.32%) | χ2(4) = 61.51 p < 0.01 |
Reopening | 151 (34.16%) | 52 (43.70%) | 49 (40.16%) | 17 (33.33%) | 83 (51.32%) | 353 (39.18%) | χ2(4) = 51.98 p < 0.01 |
Second wave | 106 (23.98%) | 15 (12.61%) | 20 (16.39%) | 6 (11.76%) | 23 (11.18%) | 170 (18.87%) | χ2(4) = 143.73 p < 0.01 |
TOTAL | 442 (100%) | 119 (100%) | 122 (100%) | 51 (100%) | 167 (100%) | 901 (100.00%) | |
Statistical analysis | χ2(3) = 20.33 p = 0.01 | χ2(3) = 29.05 p < 0.01 | χ2(3) = 28.55 p < 0.01 | Fisher’s ET p < 0.01 | χ2(3) = 59.94 p < 0.01 | χ2(3) = 26.57 p < 0.01 |
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Cagetti, M.G.; Balian, A.; Camoni, N.; Campus, G. Influence of the COVID-19 Pandemic on Dental Emergency Admissions in an Urgent Dental Care Service in North Italy. Int. J. Environ. Res. Public Health 2021, 18, 1812. https://doi.org/10.3390/ijerph18041812
Cagetti MG, Balian A, Camoni N, Campus G. Influence of the COVID-19 Pandemic on Dental Emergency Admissions in an Urgent Dental Care Service in North Italy. International Journal of Environmental Research and Public Health. 2021; 18(4):1812. https://doi.org/10.3390/ijerph18041812
Chicago/Turabian StyleCagetti, Maria Grazia, Araxi Balian, Nicole Camoni, and Guglielmo Campus. 2021. "Influence of the COVID-19 Pandemic on Dental Emergency Admissions in an Urgent Dental Care Service in North Italy" International Journal of Environmental Research and Public Health 18, no. 4: 1812. https://doi.org/10.3390/ijerph18041812
APA StyleCagetti, M. G., Balian, A., Camoni, N., & Campus, G. (2021). Influence of the COVID-19 Pandemic on Dental Emergency Admissions in an Urgent Dental Care Service in North Italy. International Journal of Environmental Research and Public Health, 18(4), 1812. https://doi.org/10.3390/ijerph18041812