Evidence map›Paper›PMID 37458912›Full record

ArticlePharmacoEconomics2023

An Alternative Measure of Health for Value Assessment: The Equal Value Life-Year.

Jonathan D Campbell, Melanie D Whittington, Steven D Pearson

Abstract read
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In one paragraph

Article in PharmacoEconomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  9. A principled approach to non-discrimination in cost-effectiveness.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
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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.

Jonathan D CampbellInstitute for Clinical and Economic Review, 14 Beacon Street, 8th Floor, Boston, MA, 02108, USA. jcampbell@icer.org.ORCID 0000-0001-6539-1258
Melanie D WhittingtonInstitute for Clinical and Economic Review, 14 Beacon Street, 8th Floor, Boston, MA, 02108, USA.
Steven D PearsonInstitute for Clinical and Economic Review, 14 Beacon Street, 8th Floor, Boston, MA, 02108, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quality-adjusted life-year (QALY) is an international standard in cost-effectiveness analysis. A known concern arises from the relatively lower QALY gains attributed to treatments that extend the life of individuals with chronic disability. We analyze here the advantages and disadvantages of the equal value life-year (evLY) as an alternative or a complementary measure to the QALY, and share learned experiences from using this measure in health technology assessments. We present the conceptual rationale for the evLY, describe how it is estimated, and assess the differences in results between analyses based on the evLY and the QALY. We share a how-to guide in estimating the evLY using a downloadable tool and summarize our empirical experience using this measure. Incremental evLYs are feasible and address concerns regarding the risk for a cost-effectiveness analysis to undervalue treatments for people with chronic disabilities. Based on our set of analyses using the evLY, a threshold of $84,000 per evLY gained would be needed to maintain alignment with a threshold of $100,000 per added QALY. The evLY is a measure of health gain that can be used as an alternative or a complement to the QALY to address concerns related to undervaluing treatments that extend the life of individuals with serious illness or chronic disability. We recommend that it be reported within all cost-effectiveness analyses but may have special relevance in the current political environment in the USA, where use of the QALY is often challenged or prohibited.

Indexed as

Quality-Adjusted Life YearsCost-Benefit AnalysisHumans

Identifiers

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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.