| Literature DB >> 35365151 |
Yuriko Harada1, Hanako Iwashita2, Dilip Prajapati3, Tomohiko Sugishita2.
Abstract
BACKGROUND: During the coronavirus disease (COVID-19) pandemic, ordinary dental services were sustained in Nepal. Because a dental practice is considered to involve a high risk of infection, the needs of dentists should be identified, and demand-driven support should be provided. The purpose of this study was to investigate the situation and needs of dentists during the COVID-19 pandemic in order to guide demand-driven support. First, we investigated how the situation of Nepali dentists differed according to their types of practices between private clinics and university/government hospitals. Second, we assessed the characteristics of dentists demanding four types of support: financial, material, technical, and guidelines/guidance support.Entities:
Keywords: COVID-19; Demand-driven; Dentists; Nepal; Pandemic; Support
Mesh:
Year: 2022 PMID: 35365151 PMCID: PMC8973669 DOI: 10.1186/s12903-022-02139-9
Source DB: PubMed Journal: BMC Oral Health ISSN: 1472-6831 Impact factor: 2.757
Demographics of the participants
| N = 352 | |
|---|---|
| ≤ 30 years old | 237 (67.3) |
| > 31 years old | 114 (32.4) |
| Refuse to answer | 1 (0.3) |
| Male | 137 (38.9) |
| Female | 215 (61.1) |
| Refuse to answer | 0 (0) |
| BDS (Bachelor of Dental Surgery) | 251 (71.3) |
| MDS (Master of Dental Surgery) | 86 (24.4) |
| Other master's level | 13 (3.7) |
| Ph.D. level | 1 (0.3) |
| Refuse to answer | 1 (0.3) |
| Urban | 303 (86.1) |
| Rural | 40 (11.4) |
| Refuse to answer | 9 (2.6) |
| Private clinics | 200 (56.8) |
| University hospitals | 94 (26.7) |
| Government hospitals | 35 (9.9) |
| Others | 17 (4.8) |
| Refuse to answer | 6 (1.7) |
Comparison of answer of the questionnaire by the types of practices
| Private clinics (N = 217)a | University/government hospitals (N = 129)a | ||
|---|---|---|---|
| Age, N (%) | |||
| ≤ 30 years old | 154 (71.3) | 78 (60.5) | |
| > 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) | |
| 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) | |
| 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) | |
| Personal protection equipment, N (%) | |||
| Available | 196 (92.5) | 99 (79.8) | |
| 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) | |
| Impact of lockdown, N (%) | |||
| Permanently closed | 37 (17.2) | 11 (8.5) | |
| Not permanently closed | 178 (82.8) | 118 (91.5) | |
| Impact on salary, N (%) | |||
| Paid full | 20 (10.6) | 48 (39.3) | |
| 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 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) | |
| 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) | |
| 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
Multivariate logistic regression analyses for the answer of the questionnaire and main support dentists demand
| Financial support (n = 58)a) | Material support (n = 95)a | Technical support (n = 61)a | Guideline/guidance (n = 105)a | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ORs | 95% CI | ORs | 95% CI | ORs | 95% CI | ORs | 95% CI | |||||
| Age | ||||||||||||
| 30 years old | 0.41 | 0.23–0.74 | 2.10 | 1.20–3.65 | 1.21 | 0.65–2.25 | 0.551 | 1.05 | 0.64–1.72 | 0.856 | ||
| > 31 years old | Ref | Ref | Ref | Ref | ||||||||
| Gender | ||||||||||||
| Male | 5.56 | 2.96–10.45 | 1.04 | 0.64–1.70 | 0.867 | 0.44 | 0.23–0.83 | 0.51 | 0.31–0.83 | |||
| Female | Ref | Ref | Ref | Ref | ||||||||
| Highest degree | ||||||||||||
| BDS (bachelor of dental surgery) | Ref | Ref | Ref | Ref | ||||||||
| Master’s/Ph.D. level | 2.35 | 1.26–4.38 | 0.60 | 0.34–1.06 | 0.081 | 0.69 | 0.34–1.39 | 0.299 | 1.07 | 0.63–1.81 | 0.805 | |
| Work location | ||||||||||||
| Urban | 1.11 | 0.44–2.81 | 0.819 | 1.14 | 0.53–2.46 | 0.738 | 0.93 | 0.39–2.24 | 0.872 | 1.04 | 0.50–2.15 | 0.918 |
| Rural | Ref | Ref | Ref | Ref | ||||||||
| Precaution practice score | ||||||||||||
| Good precaution practice | 1.31 | 0.62–2.77 | 0.481 | 0.86 | 0.48–1.54 | 0.622 | 1.22 | 0.60–2.47 | 0.578 | 1.18 | 0.66–2.10 | 0.573 |
| Not good precaution practice | Ref | Ref | Ref | Ref | ||||||||
| Restriction of aerosol generating procedures | ||||||||||||
| Practiced during the Covid-19 pandemic | 1.50 | 0.81–2.76 | 0.197 | 0.77 | 0.47–1.27 | 0.306 | 0.60 | 0.34–1.06 | 0.077 | 1.25 | 0.77–2.03 | 0.377 |
| Did not practice | Ref | Ref | Ref | Ref | ||||||||
| Suspension of non-emergency dental treatment | ||||||||||||
| Suspended non-emergency treatment | 0.46 | 0.20–1.03 | 0.058 | 0.93 | 0.41–2.10 | 0.861 | 1.76 | 0.59–5.27 | 0.310 | 1.34 | 0.58–3.10 | 0.491 |
| Did not suspend non-emergency treatment | Ref | Ref | Ref | Ref | ||||||||
| Personal protection equipment | ||||||||||||
| Available | 1.28 | 0.47–3.48 | 0.630 | 0.49 | 0.25–0.98 | 1.09 | 0.43–2.78 | 0.856 | 1.89 | 0.85–4.18 | 0.118 | |
| Not available | Ref | Ref | Ref | Ref | ||||||||
| Thermometer | ||||||||||||
| Available | 5.34 | 0.71–40.40 | 0.104 | 0.49 | 0.21–1.12 | 0.090 | 5.66 | 0.75–42.85 | 0.093 | 0.60 | 0.26–1.37 | 0.223 |
| Not available | Ref | Ref | Ref | Ref | ||||||||
| Impact of lockdown | ||||||||||||
| Permanently closed | 0.92 | 0.40–2.10 | 0.841 | 0.73 | 0.35–1.55 | 0.415 | 1.11 | 0.51–2.39 | 0.797 | 1.10 | 0.57–2.15 | 0.775 |
| Not permanently closed | Ref | Ref | Ref | Ref | ||||||||
| Impact on salary | ||||||||||||
| Paid full | 0.24 | 0.08–0.77 | 1.21 | 0.58–2.53 | 0.611 | 0.24 | 0.08–0.77 | 1.45 | 0.71–2.96 | 0.302 | ||
| Paid above 80% | 1.91 | 0.32–11.39 | 0.478 | 1.28 | 0.21–7.61 | 0.790 | 1.91 | 0.32–11.39 | 0.478 | 1.24 | 0.21–7.31 | 0.811 |
| Paid between 60 and 80% | 0.60 | 0.13–2.92 | 0.531 | 1.57 | 0.47–5.23 | 0.462 | 0.60 | 0.13–2.92 | 0.531 | 1.46 | 0.44–4.79 | 0.534 |
| Paid 40–60% | 0.74 | 0.32–1.68 | 0.464 | 1.35 | 0.65–2.79 | 0.418 | 0.74 | 0.32–1.68 | 0.464 | 1.13 | 0.55–2.31 | 0.747 |
| Paid 20–40% | 1.29 | 0.53–3.15 | 0.572 | 1.01 | 0.40–2.55 | 0.978 | 1.29 | 0.53–3.15 | 0.572 | 0.62 | 0.23–1.67 | 0.345 |
| Paid below 20% | 0.72 | 0.23–2.33 | 0.590 | 1.12 | 0.39–3.17 | 0.834 | 0.72 | 0.23–2.33 | 0.590 | 1.50 | 0.57–3.92 | 0.412 |
| Did not receive any salary | Ref | Ref | Ref | Ref | ||||||||
| Economic Impact on clinic | ||||||||||||
| Had a tremendous impact | 5.51 | 2.93–10.38 | 0.61 | 0.32–1.17 | 0.135 | 0.35 | 0.14–0.85 | 0.55 | 0.29–1.03 | 0.062 | ||
| Did not have a tremendous impact | Ref | Ref | Ref | Ref | ||||||||
| Risk perception of infection in a dental setting | ||||||||||||
| High risk | 1.05 | 0.44–2.51 | 0.914 | 1.06 | 0.51–2.22 | 0.878 | 1.16 | 0.48–2.77 | 0.744 | 0.82 | 0.41–1.63 | 0.563 |
| Low/medium risk | Ref | Ref | Ref | Ref | ||||||||
| Impact on psychology | ||||||||||||
| Felt stressed or anxious | 0.60 | 0.24–1.50 | 0.276 | 0.85 | 0.38–1.91 | 0.696 | 3.06 | 0.70–13.30 | 0.137 | 0.99 | 0.45–2.19 | 0.977 |
| Did not feel stressed or anxious | Ref | Ref | Ref | Ref | ||||||||
| Training for Covid-19 management in a dental setting | ||||||||||||
| Had training | 1.08 | 0.53–2.23 | 0.827 | 1.96 | 1.01–3.81 | 1.01 | 0.50–2.05 | 0.969 | 1.15 | 0.64–2.05 | 0.643 | |
| Did not have any training | Ref | Ref | Ref | Ref | ||||||||
| Perception of Nepali government | ||||||||||||
| Had appropriate support | 4.18 | 0.65–26.67 | 0.131 | N/A | N/A | N/A | 1.71 | 0.18–16.45 | 0.640 | 1.40 | 0.23–8.63 | 0.718 |
| Did not have appropriate support | Ref | Ref | Ref | Ref | ||||||||
| Perception of Nepal Dental Association | ||||||||||||
| Had appropriate support | 0.58 | 0.26–1.29 | 0.179 | 0.65 | 0.34–1.26 | 0.204 | 1.33 | 0.67–2.65 | 0.413 | 2.21 | 1.25–3.91 | |
| Did not have appropriate support | Ref | Ref | Ref | Ref | ||||||||
OR adjusted odds ratio, CI confidence interval, Ref reference
aThe total number of dentists in each question may not have been 58 for financial, 95 for material, 61 for technical, and 105 for guideline/guidance because the analysis excluded those who answered “refuse to answer”. All analyses were adjusted for type of practice. The p values below 0.05 are shown in bold