| Literature DB >> 35682182 |
Thomas Gerhard Wolf1,2, Adrian Barth1, Joachim Hüttmann3, Michael Lennartz3, Ernst-Jürgen Otterbach3, Christian Brendel4, Maria Grazia Cagetti5, James Deschner2, Guglielmo Campus1,6.
Abstract
An observational cross-sectional survey was planned and carried out to evaluate the economic impact of the SARS-CoV-2/COVID-19 pandemic on dental practices in Germany. An online-questionnaire was developed and previously calibrated by a group consisting of experts from dentists, lawyers, and business economists (n = 21; Intra-Class-Coefficient > 0.8). It consisted of four main categories: vital statistics, professional activity and practice structure, economic impact of the COVID-19 pandemic and validation and contextualization to avoid automated filling in. The questionnaire was administered anonymously to 9732 dentists in Germany, 4434 of whom opened it and 1496 of whom fully completed it. These results were evaluated and summarized. Respondents were divided into seven German economic macro areas. Difference in proportion among questionnaire items was evaluated with χ2 test or Fisher exact test appropriately. Linear trend analysis was performed among German macro areas. Ordinal multinomial linear regression analysis was run to evaluate the association with questionnaire items with respect to a collapse and/or quarantine measures due to a positive test/infection/disease of dental personnel or an increase in average monthly costs due to the pandemic. One-third experienced a collapse or quarantine measures of the predominantly self-employed participating dentists (92%). Small practices were less affected than larger ones. Average monthly costs increased sharply in all practice structures. The findings shall help to better manage future pandemics and provide information to policy makers. As the pandemic situation is still ongoing, the medium- and long-term economic impact should be further evaluated.Entities:
Keywords: COVID-19; Germany; corona virus; dental practice; dentistry; economic effects; global pandemic
Mesh:
Year: 2022 PMID: 35682182 PMCID: PMC9180081 DOI: 10.3390/ijerph19116593
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Distribution of sex, age and provenance of the participants.
Distribution of the participants.
| Macro Area | Village/Rural | Small Town | Small/Medium-town | Small City | Large City | Total |
| HB-HH-SH-NI (Berlin, Brandenburg, Mecklenburg-Vorpommern) | 42 (16.41) | 69 (26.95) | 69 (26.95) | 28 (10.94) | 48 (18.75) | 256 (16.87) |
| BE-BB-MV (Berlin, Brandenburg, Mecklenburg-Vorpommern) | 9 (10.23) | 12 (13.64) | 17 (19.32) | 5 (5.68) | 45 (51.14) | 88 (5.80) |
| SN-ST-TH (Sachsen, Sachsen-Anhalt, Thüringen) | 35 (22.73) | 36 (23.38) | 39 (25.32) | 27 (17.53) | 17 (11.04) | 154 (10.15) |
| NW-HE-RP-SL (Nordrhein-Westfalen, Hessen, Rheinland-Pfalz, Saarland) | 56 (9.33) | 129 (21.50) | 173 (28.83) | 149 (24.83) | 93 (15.50) | 600 (39.55) |
| BW (Baden-Württemberg) | 29 (13.94) | 60 (28.85) | 69 (33.17) | 35 (16.83) | 15 (7.21) | 208 (13.71) |
| BY (Bayern) | 44 (20.85) | 66 (31.28) | 42 (19.91) | 25 (11.85) | 34 (16.11) | 211 (13.91) |
| Total | 215 (14.15) | 373 (24.56) | 410 (26.99) | 269 (17.71) | 252 (16.59) | 1517 |
| Subjects not working in Germany n = 2 (0.13%) c2(19) = 164.27 | ||||||
| Macro Area | Self-Employed | Salaried | Total | |||
| HB-HH-SH-NI (Berlin, Brandenburg, Mecklenburg-Vorpommern) | 238 (93.33) | 17 (6.67) | 255 (16.83) | |||
| BE-BB-MV (Berlin, Brandenburg, Mecklenburg-Vorpommern) | 81 (92.05) | 7 (7.95) | 88 (10.65) | |||
| SN-ST-TH (Sachsen, Sachsen-Anhalt, Thüringen) | 141 (91.56) | 13 (8.44) | 154 (39.34) | |||
| NW-HE-RP-SL (Nordrhein-Westfalen, Hessen, Rheinland-Pfalz, Saarland) | 550 (92.13) | 46 (7.71) | 596 (13.73) | |||
| BW (Baden-Württemberg) | 192 (92.75) | 16 (7.25) | 208 (13.73) | |||
| BY (Bayern) | 193 (91.00) | 19 (9.00) | 212 (13.99) | |||
| Total | 1395 (92.08) | 120 (7.92) | 1515 | |||
| Subjects not working in Germany n = 2 (0.13%); not-responders n = 2 (0.13%) c2(11) = 26.05 | ||||||
Survey of the participants on whether they experienced a collapse and/or quarantine measures due to a positive test/infection/disease of dental personnel. The participants were stratified by age, employment relationships and which practice structure they work in.
| Did your practice experience a collapse and/or quarantine measures due to a positive test/infection/disease of dental personnel? | |||
| NO | YES | Total | |
| ≤40 years | 124 (61.08) | 79 (38.92) | 203 (14.24) |
| 41–59 years | 530 (66.25) | 270 (33.75) | 800 (56.10) |
| ≥59 years | 310 (73.29) | 113 (26.71) | 423 (29.66) |
| Total | 964 (63.46) | 462 (36.54) | 1426 |
| Not responders n = 93 (6.12%) χ2 = 10.85, | |||
| Practice of dentistry | |||
| Individual practice with one salaried dentist | 183 (60.00) | 122 (40.00) | 305 (21.06) |
| Practice with several employed dentists under the management of one dentist | 57 (55.88) | 45 (44.12) | 102 (7.04) |
| Individual practice | 522 (75.65) | 168 (24.35) | 690 (47.65) |
| Joint practice (several practice owners) | 196 (61.64) | 122 (38.36) | 318 (21.96) |
| Ambulatory healthcare center with several employed dentists under the direction of a dentist or a managing director (non-dentist) | 20 (60.61) | 13 (39.39) | 33 (2.28) |
| Total | 978 (67.54) | 470 (32.46) | 1448 |
| Not responders n = 71 (4.67%) χ2 = 40.73, | |||
Survey of the participants if they experience a collapse and/or quarantine measures due to a positive test/infection/disease of dental personnel. The respondents were stratified by sex, age, macro area, practice structure and which specialization the practice in which they work has.
| Did your practice experience a collapse and/or quarantine measures due to a positive test/infection/disease of dental personnel? | |||
| Logistic regression; number of observations = 1411, log-likelihood = −880.24 χ2 = 16.71, | |||
| Odds Ratio (SE) | 95% Confidence Intervals | ||
| Sex | 1.04 (0.12) | 0.75 | 0.82/1.31 |
| Main place of practice | 0.97 (0.05) | 0.57 | 0.88/1.07 |
| Age category | 0.77 (0.07) | 0.00 | 0.64/0.92 |
| Macro area | 1.37 (0.31) | 0.16 | 0.88/2.13 |
| Practice structure | 0.92 (0.05) | 0.09 | 0.83/1:01 |
| Specialization | 0.72 (0.27) | 0.38 | 0.34/1.50 |
| Did your practice experience an increase in average monthly costs due to the pandemic? | |||
| Logistic regression; number of observations = 1434, log-likelihood = −102.38 χ2 = 15.71, | |||
| Odds Ratio (SE) | 95% Confidence Intervals | ||
| Sex | 1.07 (0.51) | 0.89 | 0.42/2.74 |
| Main place of practice | 0.61 (0.15) | 0.04 | 0.39/0.98 |
| Age category | 1.33 (0.48) | 0.42 | 0.66/2.72 |
| Macro area | 1.31 (0.15) | 0.67 | 0.80/2.74 |
| Practice structure | 1.01 (0.20) | 0.92 | 0.68/1.50 |