Table 2.
Comparison of answer of the questionnaire by the types of practices
| Private clinics (N = 217)a | University/government hospitals (N = 129)a | p valuesb | |
|---|---|---|---|
| Demographics | |||
| Age, N (%) | |||
| ≤ 30 years old | 154 (71.3) | 78 (60.5) | 0.038 |
| > 31 years old | 62 (28.7) | 51 (39.5) | |
| Gender, N (%) | |||
| Male | 84 (38.7) | 51 (39.5) | 0.879 |
| Female | 133 (61.3) | 78 (60.5) | |
| Highest degree, N (%) | |||
| BDS (Bachelor of Dental Surgery) | 174 (80.6) | 73 (56.6) | < 0.001 |
| Master's/Ph.D. level | 42 (19.4) | 56 (43.4) | |
| Work location, N (%) | |||
| Urban | 191 (89.3) | 110 (86.6) | 0.464 |
| Rural | 23 (10.8) | 17 (13.4) | |
| Precaution practice | |||
| Standard precaution practice, N (%) | |||
| Good standard precaution practice | 152 (76.0) | 93 (77.5) | 0.759 |
| Not good standard precaution practice | 48 (24.0) | 27 (22.5) | |
| Restriction of aerosol generating procedures, N (%) | |||
| Practiced during the COVID-19 pandemic | 124 (59.6) | 76 (61.3) | 0.763 |
| Did not practice | 84 (40.4) | 48 (38.7) | |
| Suspension of non-emergency dental treatment, N (%) | |||
| Suspended non-emergency treatment | 188 (88.3) | 119 (93.7) | 0.101 |
| Did not suspend non-emergency treatment | 25 (11.7) | 8 (6.3) | |
| Material availability | |||
| Personal protection equipment, N (%) | |||
| Available | 196 (92.5) | 99 (79.8) | 0.001 |
| Not available | 16 (7.6) | 25 (20.2) | |
| Thermometer, N (%) | |||
| Available | 197 (93.8) | 109 (89.3) | 0.144 |
| Not available | 13 (6.2) | 13 (10.7) | |
| Economic and psychological impacts | |||
| Impact of lockdown, N (%) | |||
| Permanently closed | 37 (17.2) | 11 (8.5) | 0.024 |
| Not permanently closed | 178 (82.8) | 118 (91.5) | |
| Impact on salary, N (%) | |||
| Paid full | 20 (10.6) | 48 (39.3) | < 0.001b |
| Paid above 80% | 2 (1.1) | 4 (3.3) | |
| Paid between 60 and 80% | 7 (3.7) | 7 (5.7) | |
| Paid 40–60% | 35 (18.5) | 23 (18.9) | |
| Paid 20–40% | 23 (12.2) | 10 (8.2) | |
| Paid below 20% | 16 (8.5) | 7 (5.7) | |
| Did not receive any salary | 86 (45.5) | 23 (18.9) | |
| Economic Impact on clinic, N (%) | |||
| Had a tremendous impact | 45 (22.2) | 25 (22.7) | 0.910 |
| Did not have a tremendous impact | 158 (77.8) | 85 (77.3) | |
| Risk perception of infection in a dental setting, N (%) | |||
| High risk | 185 (86.5) | 114 (89.8) | 0.368 |
| Low/medium risk | 29 (13.6) | 13 (10.2) | |
| Impact on psychology, N (%) | |||
| Felt stressed or anxious | 195 (92.4) | 110 (87.3) | 0.121 |
| Did not feel stressed or anxious | 16 (7.6) | 16 (12.7) | |
| Training and support | |||
| Training for COVID-19 management in a dental setting, N (%) | |||
| Had training | 176 (81.1) | 100 (77.5) | 0.422 |
| Did not have any training | 41 (18.9) | 29 (22.5) | |
| Perception of Nepal government, N (%) | |||
| Had appropriate support | 1 (0.5) | 4 (3.3) | 0.043 |
| Did not have appropriate support | 208 (99.5) | 117 (96.7) | |
| Perception of Nepal Dental Association, N (%) | |||
| Had appropriate support | 42 (21.5) | 23 (20.2) | 0.777 |
| Did not have appropriate support | 153 (78.5) | 91 (79.8) | |
| Support dentists wanted to receive, N (%) | |||
| Financial support | 42 (20.7) | 16 (12.5) | 0.005b |
| Material support | 49 (24.1) | 46 (35.9) | |
| Technical support | 47 (23.2) | 14 (10.9) | |
| Guideline/guidance | 59 (29.1) | 46 (35.9) | |
| Psychological support | 6 (3.0) | 6 (4.7) | |
aThe total number of dentists in each question may not have been 217 for private clinics and 129 for university/government hospitals because the analysis excluded those who answered “refuse to answer”. The p values below 0.05 are shown in bold
bA Bonferroni correction was performed for the chi-squared tests to correct for multiple testing