Table 1.
Input parameter on costs and revenue in different practices, stratified by revenue stream and service subset (expected costs and revenue without any Covid-19 mitigation/suppression policies).
| Parameter | Practice S1 |
Practice S2 |
||
|---|---|---|---|---|
| Na | 39.244 |
7.701 |
||
| Euro | % | Euro | % | |
| Total costs/year | 360,747 | 100 | 245,016 | 100 |
| Staff costs/year | 151,587 | 42 | 86,991 | 35 |
| Material costs/year | 28,800 | 8 | 28,175 | 12 |
| Laboratory costs/year | 90,000 | 25 | 56,350 | 23 |
| Others (office, redemption, interest) costs/year | 90,360 | 25 | 73,500 | 30 |
| Statutory revenue | ||||
| Assessment, advice, endodontics, emergencies etc. | 125,123 | 43.2 | 99,401 | 43.2 |
| Restorations | 48,124 | 16.6 | 38,231 | 16.6 |
| Surgery | 8,354 | 2.9 | 6,636 | 2.9 |
| Prosthetics | 72,697 | 25.1 | 57,752 | 25.1 |
| Periodontology | 10,847 | 3.7 | 8,617 | 3.7 |
| Preventive dentistry | 12,431 | 4.3 | 9,875 | 4.3 |
| Others | 11,802 | 4.1 | 9,375 | 4.1 |
| Total | 289,378 | 100.0 | 229,887 | 100.0 |
| Private insurance, employer schemes, others revenue | ||||
| Assessment, advice, endodontics, emergencies etc. | 36,877 | 27.0 | 20,324 | 27.0 |
| Restorations | 14,184 | 10.4 | 7817 | 10.4 |
| Surgery | 2,462 | 1.8 | 1,357 | 1.8 |
| Prosthetics | 22,689 | 16.6 | 12,505 | 16.6 |
| Periodontology | 12,468 | 9.1 | 6,872 | 9.1 |
| Preventive dentistry | 21,644 | 15.8 | 11,929 | 15.8 |
| Others | 26,010 | 19.0 | 14,335 | 19.0 |
| Total | 136,334 | 100.00 | 75,139 | 100.00 |
| Out-of-pocket revenue | ||||
| Assessment, advice, endodontics, emergencies etcb | 0 | 0 | 0 | 0 |
| Restorations | 53,871 | 38.1 | 31,985 | 38.1 |
| Surgery | 2,598 | 1.8 | 1,542 | 1.8 |
| Prosthetics | 23,271 | 16.5 | 13,857 | 16.5 |
| Periodontology | 12,788 | 9.0 | 7,615 | 9.0 |
| Preventive dentistry | 22,199 | 15.7 | 13,219 | 15.7 |
| Others | 26,677 | 18.9 | 15,886 | 18.9 |
| Total | 141,404 | 100.0 | 84,104 | 100.0 |
Licensed dentists excluding orthodontists. Orthodontic revenues were also excluded. Note that due to random sampling from distributions, modelled revenue (Table 2) will deviate minimally.
Assumed this subset to be zero and shifted to out-of-pocket expenses for restorations, as patients in Germany usually only pay treatments not fully or partially covered out of their own pockets. Note that this shift may affect consistency between subsets to a minor degree.