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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