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Table 3 Quality assessment criteria (from Papaioannou et al. 2013) in studies using direct or indirect methods (n = 25)

From: A systematic literature review of health state utility values in head and neck cancer

Criteria

[56]

[38]

[44]

[47]

[54]

[39]

[58]

[40]

[41]

[59]

[45]

[57]

[36]

[37]

[48]

[49]

[52]

[55]

[51]

[42]

[50]

[20]

[53]

[46]

[43]

Tot

Sample size

1

0

0

0

1

1

0

0

1

1

0

0

0

1

1

0

0

0

1

1

1

1

1

0

0

12/25

Selection and recruitment

1

1

1

1

1

1

0

0

1

1

1

1

1

1

1

1

1

1

1

1

1

1

0

1

0

21/25

Inclusion/

exclusion criteria

0

1

1

1

0

1

0

0

1

0

1

0

1

1

0

1

0

1

1

1

0

1

0

1

0

14/25

Response ratea

1

1

0

0

1

0

0

1

0

1

0

1

0

1

0

0

0

1

1

0

1

1

1

0

0

12/25

Loss to follow-upb

1

C

C

0

C

C

C

C

C

C

0

1

C

C

C

1

C

1

C

C

C

C

1

C

C

5/7

Missing data

0

0

0

0

0

0

0

0

0

1

0

1

0

0

0

0

0

1

1

0

0

0

1

1

0

6/25

Appropriateness of measure

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

25/25

Total score

5/7

4/6

3/6

3/7

4/6

4/6

1/6

2/6

4/6

5/6

3/7

5/7

3/6

5/6

3/6

4/7

2/6

6/7

6/6

4/6

4/6

5/6

5/7

4/6

1/6

 
  1. aSet equal to 0 if <60% or not reported in the study
  2. bC: cross-sectional study (not applicable criterion)