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Table 2 MCDA criteria, Test Anova, SLAM, AHP weights and the results of sensitivity analysis

From: Revealed preferences towards the appraisal of orphan drugs in Poland - multi criteria decision analysis

 

Test Anova

SLAM

AHP weights

VIP min

VIP max

Max Regret

Indication uniquenes

0.8529

10

2.31%

0.12

0.5

0.87

Disease rarity

0.4815

8

3.34%

0.3

0.66

0.69

Disease severity

0.4837

9

3.38%

0.23

0.5

0.76

Adv.tech.

0.7574

12

0.42%

0

0.05

1.00

Manufacturing technology

0.2169

13

0.23%

0

0.02

1.00

Therapeutic alternative

0.3666

4

8.56%

0.5

0.67

0.5

Sci. evid. Clin.eff

0.2546

1

14.76%

0.98

1.00

0.00

Benefits from use of medicine (safety aspects)

0.0071*

3

12.68%

0.5

0.81

0.5

Cost effectiveness analysis

0.0747

5

9.86%

0.48

1.00

0.52

Budget impact analysis

0.646

6

10.26%

0.44

0.58

0.56

Therapy cost

0.2937

2

17.60%

0.5

0.82

0.5

HTA recommendations issued elsewhere

0.0691

7

11.88%

0.48

0.83

0.51

Rationalization analysis

0.0176*

11

4.73%

0.13

0.5

0.87

  1. SLAM Simple Linear Additive Model, AHP Analytic Hierarchy Process, VIP Variable Interdependent Parameters, Sci. evid. clin.eff Scientific evidence for clinical efficiency, Adv.tech. Advancement of technology
  2. *statistical significance at p-value (≤ 0.05)