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Table 3 Preference-Based Scores for Asthma and Stroke Samples using SF-36 Algorithms

From: Are decisions using cost-utility analyses robust to choice of SF-36/SF-12 preference-based algorithm?

 

Baseline Assessment (Ti)

Final Assessment (Tf)

Difference (Tf-Ti)

95% CI

Asthma (n = 220)

Mean

(SD)

Mean

(SD)

Mean

(SD)

Lower

Upper

   Brazier (SF-36, SG)

0.694

(0.101)

0.757

(0.113)

0.063‡

(0.117)

0.048

0.082

   Brazier (SF-12, SG)

0.724

(0.116)

0.789

(0.119)

0.065‡

(0.125)

0.047

0.078

   Fryback (SF-36, QWB)

0.655

(0.063)

0.721

(0.072)

0.066‡

(0.070)

0.057

0.075

   Nichol (SF-36, HUI2)

0.765

(0.123)

0.840

(0.118)

0.075‡

(0.114)

0.060

0.090

   Shmueli (SF-36, VAS)

0.683

(0.124)

0.766

(0.130)

0.084‡

(0.111)

0.069

0.098

   Lundberg (SF-12, VAS)

0.667

(0.113)

0.759

(0.119)

0.091‡

(0.117)

0.076

0.107

   Franks (SF-12, EQ-5D)

0.699

(0.181)

0.814

(0.152)

0.115‡

(0.169)

0.093

0.138

   Franks (SF-12, HUI3)

0.643

(0.170)

0.764

(0.173)

0.121‡

(0.176)

0.098

0.144

   Franks (SF-12, EQ-5D, MEPS)

0.667

(0.174)

0.797

(0.163)

0.129‡

(0.167)

0.107

0.151

   Lawrence (SF-12, EQ-5D)

0.667

(0.158)

0.798

(0.159)

0.130‡

(0.159)

0.109

0.152

Stroke (n = 81)

        

   Shmueli (SF-36, VAS)

0.602

(0.115)

0.656

(0.155)

0.055‡

(0.124)

0.027

0.082

   Fryback (SF-36, QWB)

0.548

(0.060)

0.616

(0.100)

0.069‡

(0.094)

0.048

0.089

   Lundberg (SF-12, VAS)

0.512

(0.108)

0.592

(0.155)

0.080‡

(0.156)

0.045

0.114

   Brazier (SF-12, SG)

0.609

(0.099)

0.696

(0.145)

0.087‡

(0.152)

0.054

0.121

   Nichol (SF-36, HUI2)

0.656

(0.110)

0.745

(0.147)

0.089‡

(0.143)

0.058

0.121

   Brazier (SF-36, SG)

0.552

(0.087)

0.669

(0.139)

0.116‡

(0.137)

0.086

0.147

   Franks (SF-12, HUI3)

0.482

(0.150)

0.615

(0.200)

0.133‡

(0.200)

0.089

0.177

   Lawrence (SF-12, EQ-5D)

0.491

(0.132)

0.626

(0.204)

0.134‡

(0.194)

0.091

0.177

   Franks (SF-12, EQ-5D)

0.478

(0.199)

0.618

(0.232)

0.139‡

(0.233)

0.088

0.191

   Franks (SF-12, EQ-5D, MEPS)

0.472

(0.165)

0.615

(0.219)

0.143‡

(0.215)

0.096

0.191

  1. ‡p-value < 0.001, based on t-test for dependent samples
  2. NB: algorithms are ordered from smallest to largest difference score for each condition