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Mapping MOS-HIV to HUI3 and EQ-5D-3L in Patients With HIV

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  • Vilija R. Joyce
  • Huiying Sun
  • Paul G. Barnett
  • Nick Bansback
  • Susan C. Griffin
  • Ahmed M. Bayoumi
  • Aslam H. Anis
  • Mark Sculpher
  • William Cameron
  • Sheldon T. Brown
  • Mark Holodniy
  • Douglas K. Owens


Publication details

JournalMDM Policy Practice
DateAccepted/In press - 10 May 2017
DatePublished (current) - 3 Jul 2017
Issue number2
Number of pages13
Original languageEnglish


Objectives: The Medical Outcomes Study HIV Health Survey (MOS-HIV) is frequently used in HIV clinical trials; however, scores generated from the MOS-HIV are not suited for cost-effectiveness analyses as they do not assign utility values to health states. Our objective was to estimate and externally validate several mapping algorithms to predict Health Utilities Index Mark 3 (HUI3) and EQ-5D-3L utility values from the MOS-HIV. Methods: We developed and validated mapping algorithms using data from two HIV clinical trials. Data from the first trial (n = 367) formed the estimation data set for the HUI3 (4,610 observations) and EQ-5D-3L (4,662 observations) mapping algorithms; data from the second trial (n = 168) formed the HUI3 (1,135 observations) and EQ-5D-3L (1,152 observations) external validation data set. We compared ordinary least squares (OLS) models of increasing complexity with the more flexible two-part, beta regression, and finite mixture models. We assessed model performance using mean absolute error (MAE) and mean squared error (MSE). Results: The OLS model that used MOS-HIV dimension scores along with squared terms gave the best HUI3 predictions (mean observed 0.84; mean predicted 0.80; MAE 0.0961); the finite mixture model gave the best EQ-5D-3L predictions (mean observed 0.90; mean predicted 0.88; MAE 0.0567). All models produced higher prediction errors at the lower end of the HUI3 and EQ-5D-3L score ranges (

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© The Author(s), 2017.

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