Evidence map›Paper›PMID 38862769›Full record

ArticleApplied health economics and health policy2024

Cost of Carbon in the Total Cost of Healthcare Procedures: A Methodological Challenge.

Paul-Simon Pugliesi, Laurie Marrauld, Catherine Lejeune

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In one paragraph

Article in Applied health economics and health policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Points to consider for incorporating climate impacts into health economic evaluation.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  2. 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

3 authors.

Paul-Simon PugliesiDepartment of Sustainable development, William Morey Hospital, Chalon sur Saône, France. paulsimon.pugliesi@ch-chalon71.fr.ORCID 0000-0002-9270-1861
Laurie MarrauldUniv Rennes, EHESP, CNRS, Inserm, Arènes, UMR 6051, RSMS (Health Services and Management Research), U 1309, 35000, Rennes, France.
Catherine LejeuneCentre d'Investigation Clinique, CHU Dijon, Dijon, France, BP 87900, 7 Bd Jeanne d'Arc, 21 000.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Economic evaluations aim to compare the costs and the results of health strategies to guide the public decision-making process. Cost estimation is, thus, a cornerstone of this approach. At present, few national evaluation agencies recommend incorporating the cost of greenhouse gas (GHG) emissions from healthcare actions into the calculation of healthcare costs. Our main goal is to describe and discuss the methodology for integrating the cost of GHG emissions into the field of applied economic evaluations. To estimate this cost, three steps are required: (1) identifying and quantifying the physical flows linked to the production and management of the outputs of healthcare interventions, (2) estimating the quantity of GHG that can be attributed to each physical flow, and (3) valuing these GHG emissions in monetary terms. Integrating the cost of GHG emissions into the calculation of the costs of healthcare interventions is both useful and relevant from a perspective of collective intergenerational well-being. This approach has been made possible thanks to the existence of accounting and monetary valuation methods for emissions. Agencies specialized in health economic evaluations could take up this issue to resolve ongoing questions, thus providing researchers with a methodological framework and public decision-makers with some key insights.

Indexed as

Greenhouse GasesCost-Benefit AnalysisHealth Care CostsHumansGreenhouse Gases

Identifiers

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.