Evidence map›Paper›PMID 39352608›Full record

ReviewHealth economics review2024

The acceptability of the risk of death in the treatment of respiratory diseases in France.

Caroline Orset

Abstract readReview
In one paragraph

Review in Health economics review, 2024. 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

1 author.

Caroline OrsetParis-Saclay Applied Economics (PSAE), AgroParistech, INRAe, Université Paris-Saclay, and Climate Economics Chair, Campus Agro Paris-Saclay, 22 place de l'Agronomie, 91120, Palaiseau, France. caroline.orset@agroparistech.fr.ORCID http://orcid.org/0000-0002-3964-5717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe costs associated with respiratory illnesses in the French healthcare budget continue to rise. However, pharmaceutical companies and research centres are continuously developing new treatments. Consequently, accepting these treatments, which necessitates the acceptance of the mortality risk associated with their use, represents a significant economic and public health issue. Our study aims to assess this acceptance.

methodsThe data were obtained from an online questionnaire completed by 315 respondents located in France during June and July 2019. The standard gamble method was employed to ascertain the acceptability of risk. This method quantifies the 'disutility' of a health state by evaluating the extent to which an individual is willing to accept a specific mortality risk in exchange for avoiding the state.

resultsThe study demonstrated that individuals, irrespective of their personal characteristics, were willing to accept a treatment with an average mortality risk of less than 19%. The findings revealed discrepancies between individuals' perceptions of mortality and actual risks.

conclusionsIn France, it is incumbent upon public decision-makers and research centres to ensure that treatment-related mortality rates remain below 19% so that patients readily accept treatment, irrespective of their personal characteristics. In addition, they should provide further information on the risks associated with treating respiratory diseases to avoid a discrepancy between the mortality risks perceived by individuals and the actual risks.

Indexed as

Ambiguity aversionMortality riskRespiratory diseaseRisk acceptabilityStandard gamble method

Identifiers

PMID39352608
PMCPMC11443873

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.