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Table 2 Trainees’ and experts’ rating of the perfusion-based mandibular model

From: A novel ex vivo perfusion-based mandibular pig model for dental product testing and training

 

Question

Strongly disagree (1)

Disagree (2)

Neutral (3)

Agree (4)

Strongly agree (5)

p-value

Trainees (%)

Experts (%)

Trainees (%)

Experts (%)

Trainees (%)

Experts (%)

Trainees (%)

Experts (%)

Trainees (%)

Experts (%)

1

Visual appearance of bone tissue is realistic

0

0

0

0

0

0

4 (22.2)

3 (16.7)

3 (16.7)

8 (44.4)

0.218

2

Blood flow in the bone tissue (without defect) is realistic

0

0

1 (5.6)

3 (16.7)

3 (16.7)

2 (11.1)

2 (11.1)

4 (22.2)

1 (5.6)

2 (11.1)

0.925

3

Bleeding from bone defect is realistic

0

0

2 (11.1)

2 (11.1)

0

2 (11.1)

5 (27.8)

4 (22.2)

0

3 (16.7)

0.526

4

Colour of the blood is realistic

0

0

0

1 (5.6)

0

0

2 (11.1)

4 (22.2)

5 (27.8)

6 (33.3)

0.429

5

Viscosity of the blood is realistic

0

0

0

2 (11.1)

1 (5.6)

3 (16.7)

5 (27.8)

5 (27.8)

1 (5.6)

1 (5.6)

0.193

6

Resistance of the bone during drilling is realistic

0

0

0

0

2 (11.1)

0

2 (11.1)

8 (44.4)

3 (16.7)

3 (16.7)

0.839

7

Temperature of the tissues is realistic

1 (5.6)

0

1 (5.6)

2 (11.1)

1 (5.6)

3 (16.7)

2 (11.1)

6 (33.3)

2 (11.1)

0

0.702

8

Filling of the bone defect with bone substitute is realistic

0

0

0

0

2 (11.1)

0

3 (16.7)

6 (33.3

2 (11.1)

5 (27.8)

0.210

9

Application of the membrane over the bone defect is realistic

0

0

1 (5.6)

0

2 (11.1)

0

3 (16.7)

7 (38.9)

1 (5.6)

4 (22.2)

0.056

10

This model would help to improve skills in handling the barrier membrane

0

0

0

1 (5.6)

0

0

5 (27.8)

4 (22.2)

2 (11.1)

6 (33.3)

0.445

11

This model would help to test the application of (adhesive) barrier membranes

0

0

0

0

1 (5.6)

0

5 (27.8)

8 (44.4)

1 (5.6)

3 (16.7)

0.298

12

This model replicates actual barrier membrane application

0

1 (5.6)

1 (5.6)

0

2 (11.1)

1 (5.6)

4 (22.2)

6 (33.3)

0

3 (16.7)

0.147

  1. Values are indicated as number of participants (n) and percentage of total participants (%) per question. p-value shows the significance of the comparison between the total mean ranks from experts versus trainees