Table 6 Phase IV (Step 13–15) Value, model, and evaluate health state utilities

ABC-UI [31, 32]

AQL-5D [33,34,35,36,37,38,39]

IUI [40, 41]

OAB-5D [9, 36, 42,43,44]

EORTC-8D [7, 45,46,47,48]

QLU-C10D [49,50,51,52,53,54,55,56,57,58]

HAQ-PBM, QLQ-PBM, MSIS-PBM [61]

FACT-8D [62, 63]

DEMQOL-U & -Proxy-U [8, 71,72,73,74]

AD-5D [75,76,77]

CARIES-QC-U [112, 113]

DUI [78, 79]

DHP-3D & 5D [80]

HASMID-8 & 10 [81, 82]

DMD-QoL-8D [83]

CP-6D [68]

ECHOHIS-4D [115]

13. Elicit health state utility values

 Whose utilities

  Patients

X

X

X

  General public

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

  Carers

X⁺⁺⁺

X

 Valuation method

  TTO^a

X

X

X

X

X

X

X

X

  DCE^b or DCE-TTO^c

X⁺⁺

X

X

X

X

X

X

X

  VAS^d

X

X

  EQ-VAS

  BWS^e

X

X

  RS^f

  SG^g

X

 Method of selecting health states

  Orthogonal or balanced design

X

X

X

X

X⁺

X

X

X

X

  Single and multi-attribute health states to enable modeling

X

X

  D-efficiency

X

X

X

X

X

  C-efficiency

X

X

  Corner states

X

X

  Rasch vignette

  Own health state

X^@

  Intermediate and anchor states

X

X

  Naming health state

 14. Model utility values

  Individual level data

X

X

X

X

X

X

X

X

X

X

X

X

X

X

  Aggregate (mean) data

X

X

X

X

X

X

X

X

X

 Functional form

  Additive function

X

X

X

X

X

X

X

  Multiplicative function

X^

X

X

 Model type

  Conditional logit

X⁺

X

X

X

X

X

X

X

  Mixed logit

X⁺

X

X

  Multinomial logit

X

  Ordinary least squares

X

X

X

X

X

X

  Tobit

  Random effects

X

  Multiattribute utility function

X

X

 Estimation method

  Maximum likelihood estimation

X

X

X

  Expected a posteriori

X

 15. Evaluate utility function

  Regression model coefficients*

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

  Consistency of coefficients with descriptive system**

X

X

X

X

X

X

X

X

X

X

X

X

X

X

 Fit statistics

  RMSE^§

X

X

X

  MAE^§§

X

X

X

X

X

X

X

X

  AIC^§§§

X

X⁺

X

X

X

X

  BIC^§§§§

X

X⁺

X

X

X

X

  R² / Adjusted R²

X

X

X

X

X

X

X^{^^}

X^{^^}

WAITe [110]

NEWQoL-6D [84,85,86]

CORE-6D [88,89,90]

ReQoL-UI [91,92,93,94]

MSIS-8D & -P [27, 97,98,99,100]

Neuro-QoL derived NQU [101, 102]

P-PBMSI [103,104,105,106]

MF-8D [107]

MHOM RA [117]

Vis-QoL [118,119,120,121,122,123,124]

VFQ-UI [125,126,127,128,129,130]

PBI-WRQL [111]

PB-WRQL [111]

PB-HIV [131]

CFQ-R-8D [69]

MobQoL-7D [96]

13. Elicit health state utility values

 Whose utilities

  Patients

X

X

X

X

X

X

X

X

X

X

  General public

X

X

X

X

X

X

X

X

X

X

  Carers

 Valuation method

  TTO^a

X

X

X

X

X

X

X

X

X

X

  DCE^b or DCE-TTO^c

X

  VAS^d

X

X

  EQ-VAS

X

X

  BWS^e

X

  RS^f

X

X

  SG^g

X

X

 Method of selecting health states

  Orthogonal or balanced design

X

X

  Single and multi-attribute health states to enable modeling

X

X

X

  D-efficiency

  C-efficiency

  Corner states

X

X

X

  Rasch vignette

X

X

  Own health state

X

X

X

  Intermediate and anchor states

X

X

  Naming health state

X

 14. Model utility values

  Individual level data

X

X

X

X

X

X

  Aggregate (mean) data

X

X

X

X

X

 Functional form

  Additive function

X

X

X

X

X

X

X

X

  Multiplicative function

X

X

X

X

  Logistic function

X

X

  Conditional logit

  Mixed logit

  Multinomial logit

  Ordinary least squares

X

X

X

X

  Tobit

X

  Random effects

X

X

  Multiattribute utility function

X

 Estimation method

  Maximum likelihood estimation

X

X

  Expected a posteriori

 15. Evaluate utility function

  Regression model coefficients*

X

X

X

X

X

X

X

X

X

X

X

X

X

X

X

  Consistency of coefficients with descriptive system**

X

X

X

X

X

X

X

X

X

X

X

 Fit statistics

  RMSE^§

X

X

X

X

X

  MAE^§§

X

X

X

X

X

  AIC^§§§

X

X

  BIC^§§§§

X

X

  R² / Adjusted R²

X

X

X

X