ReviewDiabetes, obesity & metabolism2026
A novel framework to assess the prevention value of a health intervention.
Review in Diabetes, obesity & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- A novel framework to assess the prevention value of a health intervention.Diabetes, obesity & metabolism · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
aimsInterest in capturing chronic disease prevention impacts on broader economic and societal outcomes is growing; however, this has been challenging to date. We present a comprehensive framework to support assessment of prevention value from a range of stakeholder perspectives, using obesity as an illustrative example. MATERIALS AND
methodsWe identified three domains in which to group value components: individual health/health system, societal, and government. Longlisting and shortlisting of value components was supported by a targeted literature review, quality assessment against four criteria and review by six health economic and policy experts. Worked examples illustrate the applicability of the framework using two UK-based hypothetical intervention effects: a 5% obesity incidence reduction and a 0.5-unit improvement in SF-12 scores.
resultsTwenty-nine value components were identified: 7 related to individual health/healthcare system, 18 to societal and 4 to government value. Of these, 17 were shortlisted into 9 categories: individual health, healthcare system, productivity, family impact, health equity and social mobility, environmental, income-related benefits, sickness benefits, and income tax. We also identified six components for future consideration, where current data and methodologies are limited.
conclusionsWe propose a value framework that goes beyond traditional health benefit measures to holistically assess chronic disease prevention value. While data limitations prevented the quantification of all shortlisted components, this does not preclude a qualitative discussion of these components in evaluating a preventative intervention. The framework should now be tested with live interventions and key stakeholders to standardise methodologies and enhance future acceptability and use.
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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.