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Table 3 Risk of getting an incorrect answer that participants are willing to accept according to type of evidence user and scenario

From: Trading certainty for speed - how much uncertainty are decisionmakers and guideline developers willing to accept when using rapid reviews: an international survey

Types of user of evidence

Acceptable risk (%)

 

Na

Median

p25

p75

p5

p95

Min

Max

All participants (n = 325)

 All scenarios

945

10

5

15

1

30

0

50

 Clinical Treatment (Scenario 1)

313

10

5

15

1

30

0

50

 Public Health Intervention (Scenario 2)

320

10

5

15

1

30

0

50

 Clinical Prevention (Scenario 3)

312

6.5

5

10.5

1

30

0

50

Guideline developers (n = 94)

 All scenarios

275

6

5

10

1

25

0

50

 Clinical Treatment (Scenario 1)

91

5

5

10

1

20

1

38

 Public Health Intervention (Scenario 2)

94

10

5

15

1

25

0

50

 Clinical Prevention (Scenario 3)

90

5

5

10

1

25

1

42

Decisionmakersb (n = 182)

 All scenarios

527

10

5

15

1

34

0

50

 Clinical Treatment (Scenario 1)

175

10

5

15

1

30

0

50

 Public Health Intervention (Scenario 2)

177

10

5

18

1

40

0

50

 Clinical Prevention (Scenario 3)

175

10

5

15

0

40

0

50

Guideline developers and decisionmakersb (n = 49)

 All scenarios

143

6

5

10

1

25

0

50

 Clinical Treatment (Scenario 1)

47

8

5

15

1

30

0

50

 Public Health Intervention (Scenario 2)

49

5

5

10

1

25

0

41

 Clinical Prevention (Scenario 3)

47

5

2

10

0

25

0

50

  1. IQR interquartile range, Min Minimum, Max Maximum, N number of participants
  2. p5 = 5th percentile, p25 = 25th percentile, p75 = 75th percentile, p95 = 95th percentile
  3. aNumber of responses; participants had the option to not answer individual scenarios
  4. bIncluding health policy decisionmaker, decisionmaker regulatory agency, decisionmaker health insurance company, hospital administrator and other types of evidence users. Participants could select more than one option