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Table 8 Regression algorithms for converting Barthel data to AQoL scores

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 Predictor β SE t Sig.
Barthel Index      
All stroke (Constant) 0.1817 0.0393 4.63 0.000
  Barthel -0.0180 0.0070 -2.56 0.011
  Barthel*Barthel 0.0020 0.0003 6.38 0.000
  0.6536   F652,597 = 2.66 0.000
   Obs = 1252 Ids = 653 F2,597 = 80.00 0.000
    R2 within = 0.211 R2 between = 0.689 R2 overall = 0.631
NIHSS = 0–5 (Constant) 0.2068 0.0471 4.39 0.000
  Barthel -0.0201 0.0081 -2.47 0.014
  Barthel*Barthel 0.0020 0.0003 4.39 0.000
  0.6579   F597,528 = 2.75 0.000
   Obs = 1128 Ids = 598 F2,528 = 67.43 0.000
    R2 within = 0.203 R2 between = 0.639 R2 overall = 0.581
NIHSS ≥ 6 (Constant) 0.0071 0.0089 0.80 0.425
  Barthel -0.0053 0.0067 -0.80 0.429
  Barthel*Barthel 0.0017 0.0004 3.81 0.000
  - - - ns
   Obs = 120 Ids = 96 F2,95 = 51.27 0.000
      R2 overall = 0.574
Barthel Item      
All stroke (Constant) 0.1160 0.0335 3.47 0.001
  Feeding 0.0450 0.0192 2.35 0.019
  Dressing 0.0631 0.0168 3.76 0.000
  Bathing 0.1173 0.0280 4.18 0.000
  Stairs 0.0520 0.0119 4.35 0.000
  Bladder 0.0249 0.0135 1.85 0.065
  0.6467   F652,594 = 2.54 0.000
   Obs = 1252 Ids = 653 F5,594 = 30.48 0.000
    R2 within = 0.204 R2 between = 0.693 R2 overall = 0.631
NIHSS = 0–5 (Constant) 0.1273 0.0411 3.10 0.002
  Feeding 0.0460 0.0230 2.00 0.046
  Dressing 0.0620 0.0184 3.36 0.001
  Bathing 0.1087 0.0302 3.60 0.000
  Stairs 0.0531 0.0128 4.15 0.000
  Bladder 0.0291 0.0151 1.93 0.054
  0.6534   F597,525 = 2.66 0.000
   Obs = 1128 Ids = 598 F5,525 = 25.64 0.000
    R2 within = 0.196 R2 between = 0.644 R2 overall = 0.579
NIHSS ≥ 6 (Constant) -0.0114 0.0103 -1.11 0.269
  Feeding 0.0341 0.0124 2.74 0.007
  Bathing 0.3176 0.0612 5.19 0.000
  Transfer 0.0368 0.0150 2.45 0.016
  Stairs 0.0553 0.0278 1.99 0.049
  - - - ns
   Obs = 120 Ids = 96 F4,95 = 38.02 0.000
      R2 overall = 0.639