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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