ArticleHealth and quality of life outcomes2025
Mapping the ADDQoL to the EQ-5D-5L and SF-6Dv2 among Chinese patients with type 2 diabetes mellitus.
Article in Health and quality of life outcomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Deriving Health Utility Values Using Mapping Methods Among the Chinese Population: A Systematic Review.Applied health economics and health policy · 2026Pooled it
- Mapping the Problem Areas in Diabetes (PAID) and Diabetes Distress Scale (DDS) to the EQ-5D-5L in diabetes care.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
- Mapping the NEI-VFQ-25 scores to the EQ-5D-Y-3L and CHU-9D utility values among adolescents with myopia.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
- Updated algorithms for direct and indirect mapping of WHOQOL-BREF to EQ-5D-5L utility scores using data from a multi-provincial Thai general population sample.Health and quality of life outcomes · 2026Article
- Health-related quality of life inequity and influencing factors among urban and rural elderly hypertensive populations: baseline survey of the Northern China Lifestyle Medicine Cohort.Health and quality of life outcomes · 2026Article
- Pro-Rich Inequality in Health-Related Quality of Life Among Primary Care Diabetes Patients: A Cross-Sectional Study.Patient preference and adherence · 2026Article
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6 authors.
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Abstract
objectiveThe Audit of Diabetes-Dependent Quality of Life (ADDQoL) is a widely used instrument for assessing quality of life in Type 2 Diabetes Mellitus (T2DM). However, it does not directly yield health utility values essential for economic evaluations. This study developed mapping algorithms to predict EQ-5D-5L and SF-6Dv2 utility values from ADDQoL scores in T2DM patients in China.
methodsCross-sectional data from 800 T2DM patients in China, stratified by age, sex, and geographical region, were divided into development (80%) and validation (20%) groups. Pearson correlation analyses were conducted to assess the conceptual overlap between ADDQoL and the EQ-5D-5L and SF-6Dv2. Six predictor sets and six regression methods were explored to map ADDQoL scores to EQ-5D-5L and SF-6Dv2 utility values, respectively. Model performance was evaluated using mean absolute error (MAE), root mean square error (RMSE), and intraclass correlation coefficient (ICC).
resultsFor the development group, the mean (SD) ADDQoL Average Weighted Impact (AWI) score was - 2.426 (1.052), and the mean (SD) utility values for EQ-5D-5L and SF-6Dv2 were 0.928 (0.092) and 0.791 (0.133), respectively. Among all 36 alternative mapping models each for EQ-5D-5L and SF-6Dv2, the best performance was consistently observed in the two-part models that included the ADDQoL AWI, the first overview item, and their squared terms. For the algorithm mapping to EQ-5D-5L utility values, it achieved a MAE of 0.067, a RMSE of 0.095, and an ICC of 0.414; For the algorithm mapping to SF-6Dv2 utility values, the corresponding metrics were an MAE of 0.099, an RMSE of 0.120, and an ICC of 0.517.
conclusionsThis study provides a mapping framework to estimate EQ-5D-5L and SF-6Dv2 utility values from ADDQoL scores. These algorithms could be used to support economic evaluations, specifically tailored for Chinese T2DM populations.
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