Robert F Stephens1, Christopher W Noel2, Jie Susie Su3, Wei Xu3, Murray Krahn1, Eric Monteiro4, David P Goldstein2, Meredith Giuliani5, Aaron R Hansen6, John R de Almeida2. 1. Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada. 2. Department of Otolaryngology-Head and Neck Surgery, Princess Margaret Cancer Centre-University Health Network, University of Toronto, Toronto, Ontario, Canada. 3. Department of Biostatistics, University Health Network, Toronto, Ontario, Canada. 4. Department of Otolaryngology-Head and Neck Surgery, Sinai Health System, University of Toronto, Toronto, Ontario, Canada. 5. Department of Radiation Oncology, Princess Margaret Cancer Centre-University Health Network, University of Toronto, Toronto, Ontario, Canada. 6. Department of Medical Oncology, Princess Margaret Cancer Centre-University Health Network, University of Toronto, Toronto, Ontario, Canada.
Abstract
BACKGROUND: There is no mechanism to predict health utility (HU) values from the University of Washington Quality of Life Questionnaire (UWQoL) scores. We sought to develop a mapping algorithm capable of using UWQoL data to approximate HU scores. METHODS: Outpatients with head and neck cancer completed the UWQoL, EQ-5D, and the Health Utilities Index-Mark 3 (HUI-3). Results of the UWQoL were mapped onto both EQ-5D and HUI-3 scores using ordinary least-squares regression models. Two-part models were explored. The predictive power of the model was assessed using 10-fold cross-validation. RESULTS: A total of 209 patients were recruited. The reduced model converting UWQoL data into EQ-5D scores performed best (adjusted R2 = 0.628, root mean square error = 0.076). Both models demonstrated construct validity by discriminating between clinical indices of disease severity. CONCLUSIONS: The abovementioned algorithms enable researchers to perform health economic evaluations with existing UWQoL data in cases where prospectively collected HU values are not available.
BACKGROUND: There is no mechanism to predict health utility (HU) values from the University of Washington Quality of Life Questionnaire (UWQoL) scores. We sought to develop a mapping algorithm capable of using UWQoL data to approximate HU scores. METHODS: Outpatients with head and neck cancer completed the UWQoL, EQ-5D, and the Health Utilities Index-Mark 3 (HUI-3). Results of the UWQoL were mapped onto both EQ-5D and HUI-3 scores using ordinary least-squares regression models. Two-part models were explored. The predictive power of the model was assessed using 10-fold cross-validation. RESULTS: A total of 209 patients were recruited. The reduced model converting UWQoL data into EQ-5D scores performed best (adjusted R2 = 0.628, root mean square error = 0.076). Both models demonstrated construct validity by discriminating between clinical indices of disease severity. CONCLUSIONS: The abovementioned algorithms enable researchers to perform health economic evaluations with existing UWQoL data in cases where prospectively collected HU values are not available.
Keywords:
EQ-5D; QALYs; University of Washington Quality of life questionnaire; cross-walking; head and neck cancer (HNC); health state utility values (HSUVs); health utilities index mark 3; health-related quality of life (HRQoL); mapping algorithms; multi-attribute utility instruments (MAUIs); preference-based measures
Authors: Christopher W Noel; Sareh Keshavarzi; David Forner; Robert F Stephens; Erin Watson; Eric Monteiro; Ali Hosni; Aaron Hansen; David P Goldstein; John R de Almeida Journal: Otolaryngol Head Neck Surg Date: 2021-07-27 Impact factor: 5.591