Fatima Al Sayah1, Ana Mladenovic1, Kathryn Gaebel2, Feng Xie3, Jeffrey A Johnson4,5. 1. School of Public Health, University of Alberta, Edmonton, AB, Canada. 2. Centre for Evaluation of Medicines, St. Joseph's Healthcare, Hamilton, ON, Canada. 3. Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ON, Canada. 4. School of Public Health, University of Alberta, Edmonton, AB, Canada. jeff.johnson@ualberta.ca. 5. Department of Public Health Sciences, 2-040 Li Ka Shing Centre for Health Research Innovation, University of Alberta, Edmonton, AB, T6G 2E1, Canada. jeff.johnson@ualberta.ca.
Abstract
PURPOSE: The EuroQol Valuation Technology (EQ-VT) uses traditional time trade-off (tTTO) for health states better than dead and lead-time TTO (LT-TTO) for states worse than dead to elicit a value (-1.0 to +1.0) for each health state. In the Canadian EQ-5D-5L Valuation study which used the EQVT platform, we observed an unexpected peak in frequency of "0" values and few negative values, particularly in the range of 0 to -0.5. To better understand this finding, we sought to explore respondents' thought processes while valuing a health state, and their understanding of the tTTO and LT-TTO exercises. METHODS: Qualitative semi-structured interviews were conducted with EQVT task respondents. Questions focused on valuations of health states as: (a) Same as dead in tTTO, (b) Worse than dead in tTTO but changed to same as dead in LT-TTO, (c) Worse than dead in LT-TTO, and (d) Worse than dead in LT-TTO with trading off all 10 years. Data were analyzed using content and thematic analysis. RESULTS: Mean age of participants (N = 70) was 40 ± 18.1 years, 60% female, and 76% Caucasian. Participants provided similar reasons for valuing a health state same as or worse than dead. Many participants expressed confusion about worse than dead valuations, distinction between same as and worse than dead, and the transition from tTTO to LT-TTO. A few indicated that the addition of 10 years of full health in the LT-TTO influenced their valuations. CONCLUSIONS: The transition from tTTO to LT-TTO in the EQVT was confusing to participants, whereby some health state valuations around this transition appeared to be arbitrary.
PURPOSE: The EuroQol Valuation Technology (EQ-VT) uses traditional time trade-off (tTTO) for health states better than dead and lead-time TTO (LT-TTO) for states worse than dead to elicit a value (-1.0 to +1.0) for each health state. In the Canadian EQ-5D-5L Valuation study which used the EQVT platform, we observed an unexpected peak in frequency of "0" values and few negative values, particularly in the range of 0 to -0.5. To better understand this finding, we sought to explore respondents' thought processes while valuing a health state, and their understanding of the tTTO and LT-TTO exercises. METHODS: Qualitative semi-structured interviews were conducted with EQVT task respondents. Questions focused on valuations of health states as: (a) Same as dead in tTTO, (b) Worse than dead in tTTO but changed to same as dead in LT-TTO, (c) Worse than dead in LT-TTO, and (d) Worse than dead in LT-TTO with trading off all 10 years. Data were analyzed using content and thematic analysis. RESULTS: Mean age of participants (N = 70) was 40 ± 18.1 years, 60% female, and 76% Caucasian. Participants provided similar reasons for valuing a health state same as or worse than dead. Many participants expressed confusion about worse than dead valuations, distinction between same as and worse than dead, and the transition from tTTO to LT-TTO. A few indicated that the addition of 10 years of full health in the LT-TTO influenced their valuations. CONCLUSIONS: The transition from tTTO to LT-TTO in the EQVT was confusing to participants, whereby some health state valuations around this transition appeared to be arbitrary.
Entities:
Keywords:
EQVT digital platform; Health state valuation; Interviews; Lead-time time-trade off
Authors: Feng Xie; Eleanor Pullenayegum; Kathy Gaebel; Nick Bansback; Stirling Bryan; Arto Ohinmaa; Lise Poissant; Jeffrey A Johnson Journal: Qual Life Res Date: 2016-02-13 Impact factor: 4.147