| Literature DB >> 32806769 |
Lina Stangvaltaite-Mouhat1,2, Marte-Mari Uhlen1, Rasa Skudutyte-Rysstad1, Ewa Alicja Szyszko Hovden1, Maziar Shabestari1, Vibeke Elise Ansteinsson1.
Abstract
We aimed to investigate the management of urgent dental care, the perception of risk and workplace preparedness among dental staff in Norway during the COVID-19 pandemic. An electronic questionnaire regarding the strictest confinement period in Norway (13 March-17 April 2020) was distributed to dental staff. Among the 1237 respondents, 727 (59%) treated patients, of whom 170 (14%) worked in clinics designated to treat patients suspected or confirmed to have COVID-19. Out of them 88% (143) received training and 64% (103) simulation in additional infection prevention procedures, while 27 (24%) respondents reported deviation. In total, 1051 (85%) respondents perceived that dental staff had a high risk of being infected, 1039 (84%) that their workplace handled the current situation well, 767 (62%) that their workplace had adequate infection control equipment and 507 (41%) agreed that their workplace is well equipped to handle an escalation. Before an appointment, 1182 (96%) respondents always/often inquired per phone information if a patient experienced symptoms of COVID-19, and 1104 (89%) asked about a history of travel to affected areas. Twice as many patients on average per week were treated by phone than in a clinic. A lower proportion of dental staff in high incidence counties applied additional infection prevention measures compared to low and medium incidence counties. To conclude, urgent dental health care was managed relatively well in Norway. Additional training of the dental staff in adequate infection prevention and step-by-step procedures may be needed. These results may be used to improve the dental health service's response to future outbreaks.Entities:
Keywords: COVID-19; SARS-CoV-2; dental public health; dentistry; emergency dental treatment; preparedness; risk perception; urgent dental care
Mesh:
Year: 2020 PMID: 32806769 PMCID: PMC7459637 DOI: 10.3390/ijerph17165843
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Background characteristics of study sample stratified by profession.
| Background Characteristics | Dentists | Dental Hygienists | Dental Assistants | Total Respondents |
|---|---|---|---|---|
|
| ||||
| Female | 468 (79%) | 227 (97%) | 411 (99.8%) | 1106 (89%) |
| Male | 122 (21%) | 8 (3%) | 1 (0.2%) | 131 (11%) |
|
| ||||
| <30 | 73 (12%) | 50 (21%) | 35 (8%) | 158 (13%) |
| 30–40 | 229 (39%) | 64 (27%) | 75 (18%) | 368 (30%) |
| 41–50 | 151 (26%) | 51 (22%) | 110 (27%) | 312 (25%) |
| 51–60 | 87 (15%) | 43 (18%) | 124 (30%) | 254 (21%) |
| >60 | 50 (8%) | 27 (12%) | 68 (17%) | 145 (11%) |
|
| ||||
| 0–9 years | 216 (37%) | 84 (36%) | 89 (22%) | 389 (31%) |
| >10 years | 374 (63%) | 151 (64%) | 323 (78%) | 848 (69%) |
|
| ||||
| Urban | 274 (46%) | 84 (36%) | 138 (33%) | 496 (40%) |
| Peri-urban | 266 (45%) | 132 (56%) | 217 (53%) | 615 (50%) |
| Rural | 50 (9%) | 19 (8%) | 57 (14%) | 126 (10%) |
|
| ||||
| Large | 436 (74%) | 190 (81%) | 318 (77%) | 944 (76%) |
| Small | 154 (26%) | 45 (19%) | 94 (23%) | 293 (24%) |
|
| ||||
| Public | 493 (84%) | 234 (99.6%) | 407 (99%) | 1134 (92%) |
| Private | 97 (16%) | 1 (0.4%) | 5 (1%) | 103 (8%) |
|
| ||||
| High | 103 (17%) | 24 (10%) | 38 (9%) | 165 (13%) |
| Medium | 311 (53%) | 127 (54%) | 216 (52%) | 654 (53%) |
| Low | 176 (30%) | 84 (36%) | 158 (38%) | 418 (34%) |
|
| ||||
| Yes | 413 (70%) | 66 (28%) | 248 (60%) | 727 (59%) |
| No | 177 (30%) | 169 (72%) | 164 (40%) | 510 (41%) |
* p < 0.05 between different dental professions.
Organization of urgent dental care in dental health service and management of patients NOT suspected to have COVID-19 during 13 March 2020–17 April 2020, stratified by county incidence categories.
| Urgent Dental Care Questions | Low Incidence Counties | Medium Incidence Counties | High Incidence Counties | Total Number of Responses |
|---|---|---|---|---|
|
| ||||
| Asking about symptoms (fever, cough, shortness of breath) | ||||
| Always | 378 (90.4%) | 554 (84.7%) | 126 (76.4%) | 1058 (85.5%) |
| Often | 30 (7.2%) | 71 (10.9%) | 23 (13.9%) | 124 (10.0%) |
| Seldom | 1 (0.2%) | 21 (3.2%) | 10 (6.1%) | 32 (2.6%) |
| Never | 5 (1.2%) | 4 (0.6%) | 2 (1.2%) | 11 (0.9%) |
| I do not know | 4 (1.0%) | 4 (0.6%) | 4 (2.4%) | 12 (1.0%) |
| Asking about history of travel to affected areas | ||||
| Always | 337 (80.6%) | 488 (74.6%) | 115 (69.7%) | 940 (76.0%) |
| Often | 52 (12.4%) | 86 (13.1%) | 26 (15.8%) | 164 (13.3%) |
| Seldom | 14 (3.3%) | 56 (8.6%) | 8 (4.8%) | 78 (6.3%) |
| Never | 8 (1.9%) | 12 (1.8%) | 4 (2.4%) | 24 (1.9%) |
| I do not know | 7 (1.7%) | 12 (1.8%) | 12 (7.3%) | 31 (2.5%) |
|
| ||||
| Mean (SD) | 4.24 (4.7) | 4.52 (3.5) | 4.94 (7.2) | 4.50 (4.6) |
| Median (range) | 3.00 | 4.00 | 3.00 | 3.00 |
|
| ||||
| Mean (SD) | 12.32 | 9.42 | 11.11 | 10.58 |
| Median (range) | 10.00 | 6.00 | 5.00 | 7.00 |
|
| ||||
| Mean (SD) | 2.85 | 2.63 | 2.26 | 2.63 |
| Median (range) | 2.00 | 2.00 | 1.00 | 1.00 |
|
| ||||
| Yes | 117 (86.0%) | 217 (90.4%) | 55 83.3%) | 389 (88.0%) |
| No | 12 (8.8%) | 20 (8.3%) | 9 (13.6%) | 41 (9.3%) |
| I do not know | 7 (5.1%) | 3 (1.3%) | 2 (3.0%) | 12 (2.7%) |
|
| ||||
| 70% ethyl alcohol | 394 (94.3%) | 592 (90.5%) | 135 (81.8) | 1121 (90.6%) |
| Sodium hypochlorite at 0.5% (5000 ppm) | 6 (1.4%) | 3 (0.5%) | 2 (1.2%) | 11 (0.9%) |
| Sodium hypochlorite at 0.1% (1000 ppm) | 8 (1.9%) | 9 (1.4%) | 5 (3.0%) | 22 (1.8%) |
| Potassium peroxymonosulfate (Virkon) | 21 (5.0%) | 16 (2.4%) | 24 (14.5%) | 61 (4.9%) |
| Disodium carbon (hydrogen peroxide (Perasafe)) | 32 (7.7%) | 19 (2.9%) | 25 (15.2%) | 76 (6.1%) |
| Other | 396 (94.7%) | 591 (90.4%) | 145 (87.9%) | 1132 (91.5%) |
|
| ||||
| Respirators FFP2 or FFP3 standard or equivalent | 27 (19.9%) | 53 (22.1%) | 21 (31.8%) | 101 (22.9%) |
| Gowns | 79 (58.1%) | 135 (56.3%) | 35 (53.0%) | 249 (56.3%) |
| Surgical caps | 107 (78.7%) | 195 (81.3%) | 50 (75.8%) | 352 (79.6%) |
| Medical masks | 132 (97.1%) | 238 (99.2%) | 63 (95.5%) | 433 (98.0%) |
| Gloves | 132 (97.1%) | 239 (99.6%) | 64 (97.0%) | 435 (98.4%) |
| Eye protection (googles or face shield) | 132 (97.1%) | 233 (97.1%) | 64 (97.0%) | 429 (97.1%) |
| Apron | 73 (53.7%) | 136 (56.7%) | 35 (53.0%) | 244 (55.2%) |
|
| ||||
| Mouth rinse before a dental procedure * | 106 (78.5%) | 208 (87.0%) | 50 (75.8%) | 364 (82.7%) |
| Rubber-dam * | 76 (56.3%) | 99 (41.4%) | 22 (33.3%) | 197 (44.8%) |
| High volume suction * | 111 (82.2%) | 209 (87.4%) | 49 (74.2%) | 369 (83.9%) |
| Chemo-mechanical caries removal | 5 (3.7%) | 9 (3.8%) | 4 (6.1%) | 18 (4.1%) |
| Scheduling a patient where high-speed handpiece needs to be used as the last patient of the day | 52 (38.5%) | 109 (45.6%) | 23 (34.8%) | 184 (41.8%) |
| Absorbable suture | 44 (32.6%) | 76 (31.8%) | 23 (34.8%) | 143 (32.5%) |
| Extraoral dental radiographs as an alternative to intraoral radiographs | 19 (14.1%) | 28 (11.7%) | 8 (12.1%) | 55 (12.5%) |
|
| ||||
| Yes | 94 (22.5%) | 54 (8.3%) | 22 (13.3%) | 170 (13.7%) |
| No | 324 (77.5%) | 600 (91.7%) | 143 (86.7%) | 1067 (86.3%) |
|
| ||||
| I know clinics that are eligible to treat such patients | 319 (98.5%) | 593 (98.5%) | 129 (90.2%) | 1041 (97.4%) |
| I do not know where such clinics are, but I know where to find the information on how to find them | 5 (1.5%) | 8 (1.3%) | 10 (7.0%) | 23 (2.2%) |
| I do not know where such clinics are and where to find the information on how to find them | 0 (0.0%) | 1 (0.2%) | 4 (2.8%) | 5 (0.5%) |
* p < 0.05 between different counties of incidence.
Organization of urgent dental care for patients suspected or confirmed to have COVID-19 performed during 13 March, 2020–17 April, 2020, stratified by county incidence categories.
| Urgent Dental Care for Patients Suspected or Confirmed to Have COVID-19 | Low Incidence Counties | Medium Incidence Counties | High Incidence Counties | Total Number of Responses |
|---|---|---|---|---|
|
| ||||
| Mean (SD) | 0.05 (0.3) | 0.03 (0.2) | 0.8 (4.1) | 0.05 (0.3) |
| Median (range) | 0 (0; 3) | 0 (0; 2) | 0 (0; 32) | 0 (0; 32) |
|
| ||||
| None | 91 (96.3%) | 53 (97.9%) | 19 (89.4%) | 161 (94.5%) |
| 1–3 | 3 (3.7%) | 4 (2.1%) | 2 (7.5%) | 7 (4.4%) |
| More than 3 | 0 (0%) | 0 (0%) | 1 (3.1%) * | 2 (1.0%) |
|
| ||||
| No limit | 2 (2.1%) | 0 (0.0%) | 0 (0.0%) | 2 (1.2%) |
| 35 min–3 h | 47 (50.0%) | 10 (18.2%) | 10 (45.5%) | 67 (39.2%) |
| >3 h | 11 (11.7%) | 16 (29.1%) | 2 (9.1%) | 29 (17.0) |
| Until the next day | 21 (22.3%) | 19 (34.5%) | 6 (27.3%) | 46 (26.9%) |
| I do not know | 13 (13.8%) | 10 (18.2%) | 4 (18.2%) | 27 (15.8%) |
|
| ||||
| Developed at county level | 52 (55.3%) | 23 (42.6%) | 9 (40.9%) | 84 (49.4%) |
| Developed by a university | 25 (26.6%) | 22 (40.7%) | 12 (54.5%) | 59 (34.7%) |
| I do not know | 7 (7.4%) | 2 (3.7%) | 0 (0.0%) | 9 (5.3%) |
| Other | 10 (10.6%) | 7 (13.0%) | 1 (4.5%) | 18 (10.6%) |
|
| ||||
| Yes, digitally | 128 (69.2%) | 91 (55.8%) | 21 (47.7%) | 240 (61.2%) |
| Yes, at the clinic | 41 (22.2%) | 30 (18.4%) | 17 (38.6%) | 88 (22.4%) |
| No | 16 (8.6%) | 42 (25.8%) | 6 (13.6%) | 64 (16.3%) |
|
| ||||
| Yes | 93 (98.9%) | 47 (87.0%) | 22 (100.0%) | 162 (95.3%) |
| No | 0 (0.0%) | 6 (11.1%) | 0 (0.0%) | 6 (3.5%) |
| I do not know | 1 (1.1%) | 1 (1.9%) | 0 (0.0%) | 2 (1.2%) |
|
| ||||
| Yes | 86 (92.5%) | 37 (78.7%) | 20 (90.9%) | 143 (88.3%) |
| No | 7 (7.5%) | 10 (21.3%) | 2 (9.1%) | 19 (11.7%) |
|
| ||||
| Yes | 60 (64.5%) | 31 (66.0%) | 12 (54.5%) | 103 (63.6%) |
| No | 33 (35.5%) | 16 (34.0%) | 10 (45.5%) | 59 (36.4%) |
|
| ||||
| Yes | 12 (17.9%) | 12 (35.3%) | 3 (23.1%) | 27 (23.7%) |
| No | 55 (82.1%) | 22 (64.7%) | 10 (76.9%) | 87 (76.3%) |
|
| ||||
| Yes | 234 (71.6%) | 364 (66.8%) | 102 (71.3%) | 700 (69.0%) |
| No | 93 (28.4%) | 181 (33.2%) | 41 (28.7%) | 315 (31.0%) |
|
| ||||
| Yes | 57 (83.8%) | 31 (77.5%) | 12 (92.3%) | 100 (82.6%) |
| No | 11 (16.2%) | 9 (22.5%) | 1 (7.7%) | 21 (17.4%) |
|
| ||||
| Respirators FFP2 or FFP3 standard or equivalent * | 87 (92.6%) | 42 (77.8%) | 19 (86.4%) | 148 (87.1%) |
| Gowns | 90 (95.7%) | 45 (83.3%) | 21 (95.5%) | 156 (91.8%) |
| Surgical caps | 92 (97.9%) | 49 (90.7%) | 21 (95.5%) | 162 (95.3%) |
| Medical masks | 94 (100%) | 52 (96.3%) | 21 (95.5%) | 167 (98.2%) |
| Gloves | 94 (100.0%) | 52 (96.3%) | 21 (95.5%) | 167 (98.2%) |
| Eye protection (googles or face shield) | 93 (98.9%) | 52 (96.3%) | 21 (95.5%) | 166 (97.6%) |
| Apron * | 83 (11.7%) | 35 (64.8%) | 18 (81.8%) | 136 (80.0%) |
|
| ||||
| Respirators FFP2 or FFP3 standard or equivalent | 61 (89.7%) | 35 (92.1%) | 13 (100.0%) | 109 (91.6%) |
| Gowns | 65 (95.6%) | 36 (94.7%) | 13 (100.0%) | 114 (95.8%) |
| Surgical caps | 65 (95.6%) | 36 (94.7%) | 13 (100%) | 114 (95.8%) |
| Medical masks | 56 (82.4%) | 34 (89.5%) | 12 (92.3%) | 102 (85.7%) |
| Gloves | 66 (97.1%) | 7 (97.4%) | 13 (100.0%) | 116 (97.5%) |
| Eye protection (googles or face shield) | 66 (97.1%) | 36 (94.7%) | 13 (100.0%) | 115 (96.6%) |
| Apron | 28 (41.2%) | 20 (52.6%) | 6 (46.2%) | 54 (45.4%) |
|
| ||||
| Mouth rinse before procedure | 23 (85.2%) | 19 (100.0%) | 8 (100.0%) | 50 (92.6%) |
| Rubber-dam | 19 (70.4%) | 12 (63.2%) | 3 (37.5%) | 34 (63.0%) |
| High-volume saliva ejectors | 4 (14.8%) | 2 (10.5%) | 2 (25.0%) | 8 (14.8%) |
| Chemo-mechanical caries removal | 1 (3.7%) | 1 (5.3%) | 1 (12.5%) | 3 (5.6%) |
| Scheduling a patient where high-speed handpiece needs to be used as the last patient of the day | 20 (74.1%) | 14 (73.7%) | 6 (75.0%) | 40 (74.1%) |
| Absorbable suture | 16 (59.3%) | 7 (36.8%) | 5 (62.5%) | 28 (51.9%) |
| Extraoral dental radiographs as an alternative to intraoral radiographs * | 8 (29.6%) | 2 (10.5%) | 5 (62.5%) | 15 (27.8%) |
|
| ||||
| 70% ethyl alcohol | 67 (71.3%) | 41 (75.9%) | 17 (77.3%) | 125 (73.5%) |
| Sodium hypochlorite at 0.5% (5000 ppm) | 5 (5.3%) | 2 (3.7%) | 0 (0%) | 7 (4.1%) |
| Sodium hypochlorite at 0.1% (1000 ppm) | 3 (3.2%) | 2 (3.7%) | 0 (0%) | 5 (2.9%) |
| Potassium peroxymonosulfate (Virkon) | 34 (36.2%) | 20 (37.0%) | 4 (18.2%) | 58 (34.1%) |
| Disodium carbon with hydrogen peroxide (Perasafe) | 24 (25.5%) | 13 (24.1%) | 8 (36.4%) | 45 (26.5%) |
| Do not know | 11 (11.7%) | 6 (11.1%) | 3 (13.6%) | 20 (11.8%) |
| Other | 9 (9.6%) | 9 (16.7%) | 3 (13.6%) | 21 (12.4%) |
* p < 0.05.
Multivariable regression analyses on associations between dental staff perception of risk and preparedness, and selected independent variables.
| Independent Variables | Dental Staff Have a High Risk of Being Infected (Completely Agree/Agree) Adjusted i OR (95%CI) | If Workplace Has Adequate Infection Control Equipment (Completely Agree/Agree)Adjusted ii OR (95%CI) | If Workplace Handles Current Situation (Completely Agree/Agree)Adjusted iii OR (95%CI) | Workplace is Well Equipped to Handle an Escalation (Completely Agree/Agree) Adjusted iv OR (95%CI) |
|---|---|---|---|---|
|
| ||||
| Male (ref) | 1 | 1 | 1 | 1 |
| Female | 0.9 (0.5; 1.5) | 1.3 (0.8; 1.9) | 0.9 (0.5; 1.6) | 0.8 (0.5; 1.2) |
|
| ||||
| >10 years (ref) |
| 1 | 1 | 1 |
| 0–9 years |
| 0.9 (0.7; 1.1) | 0.9 (0.6; 1.2) | 1.0 (0.8; 1.4) |
|
| ||||
| Specialist/General dental practitioner (ref) | 1 | 1 | 1 |
|
| Dental hygienist | 0.8 (0.5; 1.3) | 1.3 (0.9; 1.8) | 1.6 (1.0; 2.5) |
|
| Dental assistant | 1.0 (0.7; 1.5) | 1.1 (0.8; 1.5) | 1.5 (1.0; 2.1) |
|
|
| ||||
| Urban (ref) | 1 | 1 | 1 | 1 |
| Peri-urban | 1.3 (0.9; 1.8) | 0.9 (0.7; 1.1) | 0.9 (0.6; 1.2) | 1.1 (0.8; 1.4) |
| Rural | 1.5 (0.7; 2.9) | 0.9 (0.6; 1.4) | 1.0 (0.6; 1.9) | 1.2 (0.7;1.9) |
|
| ||||
| Large (ref) | 1 | 1 | 1 | 1 |
| Small | 1.1 (0.7; 1.7) | 0.9 (0.7; 1.2) | 0.9 (0.6; 1.4) |
|
|
| ||||
| Private (ref) |
|
|
|
|
| Public |
|
|
|
|
|
| ||||
| High (ref) | 1 | 1 | 1 | 1 |
| Medium | 0.6 (0.3; 1.2) | 1.3 (0.9; 2.0) | 1.4 (0.8; 2.3) | 1.4 (0.9; 2.1) |
| Low |
| 1.3 (0.9; 1.8) | 1.4 (0.8; 2.2) | 1.3 (0.8; 1.9) |
|
| ||||
| Yes (ref) | 1 | 1 | 1 | 1 |
| No | 0.8 (0.5; 1.1) | 0.9 (0.7; 1.1) | 1.2 (0.9; 1.7) | 1.1 (0.8; 1.4) |
|
| ||||
| Yes (ref) | 1 |
| 1 |
|
| No | 1.3 (0.8; 2.1) |
| 0.9 (0.5; 1.4) |
|
(ref)—reference category, significant associations (p < 0.05) presented in bold. i Adjusted for variables that resulted in statistically significant associations according to univariable analyses. ii Adjusted for variables that resulted in statistically significant associations according to univariable analyses. iii Adjusted for variables that resulted in statistically significant associations according to univariable analyses. iv Adjusted for variables that resulted in statistically significant associations according to univariable analyses.
The summary of the published questionnaire studies investigating COVID-19 outbreak and dentistry. The studies are presented in chronological order of study date; data searched was finished 4 July 2020.
| First Author | Country | Date | Participants | Sample Size | Aim |
|---|---|---|---|---|---|
| Kamate [ | Global Mostly represented by participants from Asia and Americas | December 25, 2019–February 20, 2020 | Dentists | 860 | Knowledge, attitudes and practices |
| Quadri [ | Saudi Arabia | March 2020 | Dental interns, dental auxiliaries, dental specialists | 706 | Current knowledge and plausible misconceptions |
| Khader [ | Jordan | March 2020 | Dentists | 368 | Awareness, perception and attitude |
| Ahmed [ | Global Mainly represented by Pakistan, Saudi Arabia, China and India | March 10–17, 2020 | Dentists | 650 | Fear and practice modification |
| Duruk [ | Turkey | March 16–20, 2020 | Dentists | 1958 | Clinical attitudes and behaviors |
| Cagetti [ | Italy | April 2020 | Dentists | 3599 | Symptoms/signs, protective measures, awareness, and perception |
| Consolo [ | Italy | April 2–21, 2020 | Dentists | 356 | Behaviors, emotions and concerns |
| De Stefani [ | Italy | April 11–18, 2020 | Dentists | 1500 | Knowledge, perception and attitude in treating potentially infected patients |