Evidence map›Paper›PMID 40205294›Full record

ArticleApplied health economics and health policy2025

Guiding Health Resource Allocation: Using Population Net Health Benefit to Align Disease Burden with Cost Effectiveness for Informed Decision Making.

Megha Rao, Simon Walker, Karl Claxton, Simon Bland, Jessica Ochalek, Andrew Phillips, Mark Sculpher, Paul Revill

Abstract read
In one paragraph

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Megha RaoCentre for Health Economics, University of York, York, UK. megha.rao@york.ac.uk.ORCID 0000-0002-4473-4140
Simon WalkerCentre for Health Economics, University of York, York, UK.ORCID 0000-0002-5750-3691
Karl ClaxtonCentre for Health Economics, University of York, York, UK.ORCID 0000-0003-2002-4694
Simon BlandGlobal Institute for Disease Elimination, Abu Dhabi, United Arab Emirates.
Jessica OchalekCentre for Health Economics, University of York, York, UK.ORCID 0000-0003-0744-1178
Andrew PhillipsUniversity College London, London, UK.ORCID 0000-0003-2384-4807
Mark SculpherCentre for Health Economics, University of York, York, UK.ORCID 0000-0003-3746-9913
Paul RevillCentre for Health Economics, University of York, York, UK.ORCID 0000-0001-8632-0600

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Limited healthcare resources necessitate a strategic approach to their allocation. This paper highlights the importance of population net health benefit (NHB) metric as a means of aligning two existing concepts used for resource prioritization in health: burden of disease and cost effectiveness. By explicitly incorporating health opportunity costs and eligible patient population size, NHB provides a clearer understanding of the likely scale of impact of interventions on population health. Moreover, when expressed in disability-adjusted life years (DALYs) averted, NHB enables policymakers to effectively communicate the population-level health gains from interventions relative to the existing disease burden. Using a stylized example, we demonstrate the estimation of population NHB for four alternative health interventions and its use in resource allocation decisions. The analysis reveals how variations in patient population size and health opportunity costs can significantly impact NHB estimates, ultimately influencing resource allocation decisions. The results further illustrate how NHB can be expressed as a proportion of the total disease burden, allowing for the consideration of the percentage of the overall burden addressed by each intervention. The paper demonstrates how population NHB combines cost effectiveness with components of disease burden, offering a more comprehensive approach to health intervention selection and implementation. As countries move towards universal health coverage, this metric can aid policymakers in making informed, evidence-based decisions.

Indexed as

Cost of IllnessDecision MakingHealth Care RationingResource AllocationCost-Benefit AnalysisCost-Effectiveness AnalysisDisability-Adjusted Life YearsHumansQuality-Adjusted Life Years

Identifiers

PMID40205294
PMCPMC12364733

What OpenQuestion holds

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LicenceCC BY-NC
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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.