Evidence map›Paper›PMID 41830532›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2026

Valuing Mortality Risk Reductions and Health Improvements: A Life Expectancy Framework to Harmonize Policy Traditions.

Jytte Seested Nielsen, Susan Chilton, Rebecca McDonald

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jytte Seested NielsenNewcastle University Business School (Economics), Frederick Douglass Centre, Newcastle Helix, 2 Science Square, Newcastle upon Tyne, UK.ORCID 0000-0003-0129-0225
Susan ChiltonNewcastle University Business School (Economics), Frederick Douglass Centre, Newcastle Helix, 2 Science Square, Newcastle upon Tyne, UK.ORCID 0000-0003-2547-4467
Rebecca McDonaldDepartment of Economics, University of Birmingham, University House, Edgbaston, Birmingham, UK.ORCID 0000-0003-1593-7675

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many public policies directly affect an individual's mortality risk. The value of longevity gains has traditionally been monetized through three different concepts: value per statistical life (VSL), value per statistical life year (VSLY), and willingness-to-pay for a quality-adjusted life year (WTP-QALY). By adopting gains in life expectancy as the unifying metric and combining it with preference-based information on health and longevity, we set out an approach that would generate three measures that are conceptually linked at the individual level. In particular, explicitly integrating preferences over health impacts would allow for the WTP-QALY to be estimated alongside the VSL and VSLY. We argue that our approach has advantages over the direct and modeling methods developed in the literature to date. In addition, we clarify how using the proposed framework could deliver values allowing for consistent decision-making across policy domains and government departments in ex ante regulatory assessment while simultaneously honoring the different empirical estimation practices across government departments.

Indexed as

Health PolicyLife ExpectancyMortalityDecision MakingHumansQuality-Adjusted Life YearsRisk Assessmentlife expectancyvalue per statistical lifevalue per statistical life yearwillingness‐to‐pay for a quality‐adjusted life year

Identifiers

PMID41830532
PMCPMC12988598

What OpenQuestion holds

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Registered trials

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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.