Background Mapping is an increasingly common method used to predict instrument-specific
preference-based health-state utility values (HSUVs) from data obtained from another health …

Background The types of outcomes measured collected in clinical studies and those
required for cost-effectiveness analysis often differ. Decision makers routinely use quality …

Objectives To explore the comparative performance and develop the mapping algorithms
between EQ-5D-5L and SF-6Dv2 in China. Methods Respondents recruited from the …

Introduction The health-related quality of life (HRQoL) data extracted from cancer-specific
questionnaires are often non-preference based, while patient preference-based utility data …

Abstract Background The Functional Assessment of Cancer Therapy-Breast (FACT-B) is the
most commonly used scale for assessing quality of life in patients with breast cancer. The …

Objectives Mapping algorithms are developed using data sets containing patient responses
to a preference-based questionnaire and another health-related quality-of-life questionnaire …

Background This study aimed to obtain health utility parameters among Chinese breast
cancer patients in different disease states for subsequent health economics model. In …

Background Patient-reported outcome measures such as the Oxford-12 Hip Score and Hip
Disability and Osteoarthritis Outcome Score (HOOS) are used in daily orthopaedic practice …

Background Mapping of health-related quality-of-life measures to health utility values can
facilitate cost-utility evaluation. Regression-based methods tend to lead to shrinkage of …

Objective To develop a mapping algorithm that can be used to predict EQ-5D-5L health
utility scores from FACT-H&N and obtain health utility parameters for Chinese patients with …