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Table 10 Post-sample predictive validity for Barthel 'severity-specific' 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

Predicted AQoL

Index-based

NIHSS = 0*

844

0.00

0.68

0.514

0.229

  

NIHSS = 1–5*

352

0.00

0.68

0.483

0.230

  

NIHSS ≥ 6^

113

0.00

0.56

0.123

0.166

 

Item-based

NIHSS = 0*

844

0.13

0.62

0.510

0.160

  

NIHSS = 1–5*

352

0.13

0.62

0.493

0.153

  

NIHSS ≥ 6^

113

-0.01

0.60

0.120

0.176

Mean Absolute Deviation (MAD)

Index-based

NIHSS = 0*

844

0.00

0.66

0.167

0.115

  

NIHSS = 1–5*

352

0.00

0.74

0.182

0.142

  

NIHSS ≥ 6^

113

0.00

0.91

0.097

0.131

 

Item-based

NIHSS = 0*

844

0.00

0.60

0.196

0.117

  

NIHSS = 1–5*

352

0.00

0.60

0.193

0.130

  

NIHSS ≥ 6^

113

0.00

0.89

0.090

0.128

  1. *Predicted values obtained from 'low severity' algorithm. ^Predicted values obtained from 'moderate to severe severity' algorithm