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