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Table 9 Post-sample predictive validity for Barthel 'all stroke' algorithms

From: Can we derive an 'exchange rate' between descriptive and preference-based outcome measures for stroke? Results from the transfer to utility (TTU) technique

Model

Criteria

Group

N

Min

Max

Mean

SD

Observed AQoL

Validation sample

NIHSS = 0

844

-0.04

1.00

0.536

0.334

  

NIHSS = 1–5

352

-0.04

1.00

0.446

0.299

  

NIHSS ≥ 6

113

-0.04

0.98

0.111

0.199

  

Missing

7

-0.03

0.10

0.023

0.053

  

Total

1316

-0.04

1.00

0.473

0.337

Predicted AQoL

Index-based

NIHSS = 0

844

0.14

0.61

0.497

0.159

  

NIHSS = 1–5

352

0.14

0.61

0.480

0.155

  

NIHSS ≥ 6

113

0.14

0.61

0.236

0.128

  

Missing

7

0.14

0.31

0.179

0.062

  

Total

1316

0.14

0.61

0.469

0.173

 

Item-based

NIHSS = 0

844

0.12

0.60

0.497

0.161

  

NIHSS = 1–5

352

0.12

0.60

0.479

0.155

  

NIHSS ≥ 6

113

0.12

0.60

0.231

0.138

  

Missing

7

0.12

0.26

0.202

0.046

  

Total

1316

0.12

0.60

0.467

0.174

Mean Absolute Deviation (MAD)

Index-based

NIHSS = 0

844

0.00

0.59

0.198

0.118

  

NIHSS = 1–5

352

0.00

0.62

0.191

0.132

  

NIHSS ≥ 6

113

0.00

0.77

0.170

0.109

  

Missing

7

0.04

0.32

0.156

0.097

  

Total

1316

0.00

0.77

0.193

0.121

 

Item-based

NIHSS = 0

844

0.00

0.59

0.196

0.119

  

NIHSS = 1–5

352

0.00

0.59

0.189

0.130

  

NIHSS ≥ 6

113

0.00

0.75

0.162

0.108

  

Missing

7

0.11

0.29

0.179

0.063

  

Total

1316

0.00

0.75

0.191

0.121