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Beyond 10-year lead-times in EQ-5D-5L: leveraging alternative lead-times in willingness-to-accept questions to capture preferences for worse-than-dead states and their implication.
Chang, Jen-Yu Amy; Hsu, Chien-Ning; Ramos-Goñi, Juan Manuel; Luo, Nan; Lin, Hsiang-Wen; Lin, Fang-Ju.
Afiliação
  • Chang JA; School of Health and Related Research, University of Sheffield, Sheffield, UK.
  • Hsu CN; Department of Pharmacy, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
  • Ramos-Goñi JM; School of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan.
  • Luo N; Maths in Health B.V., Rotterdam, The Netherlands.
  • Lin HW; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Lin FJ; School of Pharmacy and Graduate Institute, College of Pharmacy, China Medical University, Taichung, Taiwan. hsiangwl@gmail.com.
Eur J Health Econ ; 2023 Dec 11.
Article em En | MEDLINE | ID: mdl-38072877
BACKGROUND: A fixed 10-year lead-time in composite time-trade-off (C-TTO) tasks might compromise the precision of utility values below - 1. This study explored how alternative lead-times (ALTs) influence EQ-5D-5L value sets and their implications in economic evaluations. METHODS: Leveraging data from Taiwan's EQ-5D-5L valuation and capitalizing on its exploratory willingness-to-accept question, we explored participants' quantification of "worse-than-dead (WTD)" health states with ALTs up to 50 years. We then derived alternative value sets incorporating these ALTs through interval regression and compared them against those from conventional models. To evaluate their impact on health change valuation, we simulated utility differences for all possible EQ-5D-5L health-state-pairs using each value set. RESULTS: With a salient floor effect observed in the C-TTO values, the model with ALT led to a wider range of predicted utilities ( - 2.3897 ~ 1), compared with those of conventional models (generalized least squares (GLS): - 0.7773 ~ 1; Tobit-GLS: - 0.9583 ~ 1). Compared to the Tobit-GLS model, the model with ALT increased the numerical distance in 80% of health-state-pairs, with 11% decreasing and 9% altering direction (e.g., positive to negative) in utility differences. CONCLUSIONS: While ALTs offer insights into patient preferences, their integration into economic evaluations might require rescaling. Future research should prioritize advanced rescaling methods or enhanced elicitation strategies for populations with substantial censoring. This is pivotal for improving the elicitation of extreme WTD states and accurately discerning the relative distances between health states. Countries developing EQ-5D-5L value sets should consider pilot studies and incorporating region-specific questions on social determinants, especially where pronounced floor effects are suspected.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article