ArticleApplied health economics and health policy2025
Quality-Adjusted Life Expectancy Norms Based on the EQ-5D-5L and SF-6Dv2 for China.
Article in Applied health economics and health policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Quality-Adjusted Life Expectancy and Cost-Effectiveness Thresholds in Three High-Income Regions in Asia.Applied health economics and health policy · 2026Article
- Quality-adjusted life expectancy norms for the Canadian population using EQ-5D-5L and SF-6Dv2.The European journal of health economics : HEPAC : health economics in prevention and care · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
objectivesQuality-adjusted life expectancy (QALE) norms reflect the normative profiles or reference data of QALE of the general population and provide a meaningful anchor for comparison to inform healthcare decision-making. This study aimed to develop the QALE norms for the Chinese population by using a representative dataset of health utility values collected using the EQ-5D-5L and short-form 6-dimension version 2 (SF-6Dv2) instruments.
methodsAge-specific population norms of health utility values calculated using the EQ-5D-5L and SF-6Dv2 were used. Both utility norms were combined with the latest version of the National Life Tables of China published in 2021 to calculate QALE estimates on the basis of age, sex, and urban/rural residence area. QALE estimates were further discounted using 1.5%, 3.5%, 5.0%, and 8.0% discount rates.
resultsWhen using the health utility values evaluated by the SF-6Dv2, the QALE at age 0 years was 66.34 years at the discount rate of 0% and 16.65 years at the discount rate of 5%. For the EQ-5D-5L, the QALE at age 0 years was 76.50 years at the discount rate of 0% and 19.45 years at the discount rate of 5%. At birth, females exhibited a higher QALE, while the difference between females and males initially increased before subsequently declining overtime, ultimately resulting in females having a lower QALE. Rural population had a monotonically lower QALE than urban population.
conclusionThis study constructed age-stratified QALE norms for the Chinese population categorized by sex and residence area using mortality data alongside corresponding health utility values derived from the EQ-5D-5L and SF-6Dv2.
Indexed as
Identifiers
39672996What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.