ArticlePharmacoEconomics2026
Developing French Population Tariffs for the ICECAP-A Using Best-Worst Scaling.
Article in PharmacoEconomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
contextThere is growing recognition of the importance of measuring well-being on the basis of individuals' capabilities, rather than focusing solely on health outcomes when evaluating health and social care interventions. The ICEpop Capability Measure for Adults (ICECAP-A) operationalizes this approach by assessing five core dimensions of capability well-being. Capability value sets for ICECAP-A have already been developed in the UK, the Netherlands, and Hungary.
methodsThis study aims to establish the first French value set for the ICECAP-A. We conducted an online, self-administered survey with a representative sample of the French general population (N = 3,546). Respondents completed a series of profile-case best-worst scaling tasks. Preferences for ICECAP-A attributes were analyzed using a scale-adjusted latent class best-worst choice model, which accounts for heterogeneity in choice behavior.
resultsA latent class model with four classes provided the best fit to the data. The first class displayed a strong preference for Autonomy. The second class expressed relatively balanced preferences across all capabilities. The third and fourth classes prioritized enjoyment and attachment, respectively; however, the fourth class did not value Stability. On the basis of these findings, a capability value set was estimated for the French population. At the aggregate level, Attachment and Enjoyment emerged as the most important capabilities, followed by Autonomy, Stability, and Achievement.
conclusionsThis study presents the first ICECAP-A value set for France. It can be applied in economic evaluations and policy decision-making to better reflect well-being beyond traditional health-related outcomes.
Indexed as
Identifiers
41995767What 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.