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

Autor: Vilija R. Joyce MS, Huiying Sun PhD, Paul G. Barnett PhD, Nick Bansback PhD, Susan C. Griffin MSc, Ahmed M. Bayoumi MD, Aslam H. Anis PhD, Mark Sculpher PhD, William Cameron MD, Sheldon T. Brown MD, Mark Holodniy MD, Douglas K. Owens MD, MS
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: MDM Policy & Practice, Vol 2 (2017)
Druh dokumentu: article
ISSN: 2381-4683
23814683
DOI: 10.1177/2381468317716440
Popis: 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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