TABLE 5.
Attitudes towards peri‐implantitis | Who? | 1 a | 2 | 3 | 4 | 5 | Mean ± SD, P value |
---|---|---|---|---|---|---|---|
I consider peri‐implantitis a serious problem currently. | U.S. | 0.3% | 1.3% | 8.4% | 23.2% | 66.8% | 4.55 ± 0.725 |
Europe | 0.0% | 0.0% | 5.7% | 17.0% | 77.3% |
4.72 ± 0.566 0.021 |
|
Peri‐implantitis will become a more serious issue in the future. | U.S. | 0.0% | 1.0% | 3.9% | 15.4% | 79.6% | 4.74 ± 0.580 |
Europe | 0.0% | 0.0% | 0.0% | 18.5% | 81.5% |
4.81 ± 0.391 0.137 |
|
PI seriousness index b (alpha = 0.69) | U.S . | Mean = 4.64 | SD = 0.573 | P = 0.042 | |||
Europe | Mean = 4.75 | SD = 0.433 | |||||
Need for better education | Who? | 1 1 | 2 | 3 | 4 | 5 |
Mean ± SD, P value |
There is a great need for a standardized protocol for the treatment of peri‐implantitis. | U.S. | 0.8% | 2.9% | 9.1% | 27.2% | 60.1% | 4.43 ± 0.834 |
Europe | 0.0% | 0.0% | 3.4% | 27.6% | 69.0% |
4.66 ± 0.546 0.002 |
|
General dentists need to be better educated: |
Who? | 1 1 | 2 | 3 | 4 | 5 |
Mean ± SD, P value |
‐ about how to diagnose peri‐implantitis. | US | 0.0% | 0.3% | 2.1% | 15.9% | 81.7% | 4.79 ± 0.473 |
Europe | 1.1% | 1.1% | 2.2% | 12.2% | 83.3% |
4.76 ± 0.659 0.554 |
|
‐ about when to refer a patient for the treatment of peri‐implantitis. | US | 0.0% | 0.0% | 1.0% | 10.2% | 88.8% | 4.88 ± 0.359 |
Europe | 0.0% | 1.1% | 3.3% | 14.1% | 81.5% |
4.76 ± 0.562 0.061 |
|
‐ about how to offer maintenance care for implants. | U.S. | 0.3% | 0.5% | 2.9% | 15.1% | 81.2% | 4.77 ± 0.548 |
Europe | 2.5% | 1.2% | 3.7% | 17.3% | 75.3% |
4.62 ± .830 0.129 |
|
Need for better education index b (alpha = 0.79) | U.S . | Mean = 4.81 | SD = 0.389 | P = 0.186 | |||
Europe | Mean = 4.72 | SD = 0.587 | |||||
Single item | Who? | 1 1 | 2 | 3 | 4 | 5 |
Mean ± SD, P value |
I would like to attend continuing education courses about the treat‐ment of peri‐implantitis. | U.S. | 3.4% | 3.9% | 16.5% | 24.7% | 51.4% | 4.17 ± 1.058 |
Europe | 0.0% | 4.5% | 7.9% | 23.6% | 64.0% |
4.47 ± 0.827 0.004 |
Legend:
Answers ranged from “1” = “disagree strongly” to “5” = “agree strongly”.
Indices were computed by averaging the responses loading on the respective factor for which an index was created.