Evidence map›Paper›PMID 41462301›Full record

ArticleOrphanet journal of rare diseases2025

Using a discrete choice experiments to explore societal preferences for valuing new drugs for rare diseases.

Constanza Vargas, Stephen Goodall, Deborah J Street, Manuel Espinoza, Richard De Abreu Lourenço

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 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. Review
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

5 authors.

Constanza VargasCentre for Health Economics and Evaluation, University of Technology Sydney, Building 20, 100 Broadway, Chippendale, Sydney, NSW, 2008, Australia. constanza.vargas@uts.edu.au.ORCID 0000-0002-8667-1926
Stephen GoodallCentre for Health Economics and Evaluation, University of Technology Sydney, Building 20, 100 Broadway, Chippendale, Sydney, NSW, 2008, Australia.
Deborah J StreetCentre for Health Economics and Evaluation, University of Technology Sydney, Building 20, 100 Broadway, Chippendale, Sydney, NSW, 2008, Australia.
Manuel EspinozaSchool of Public Health, LKS Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong.
Richard De Abreu LourençoCentre for Health Economics and Evaluation, University of Technology Sydney, Building 20, 100 Broadway, Chippendale, Sydney, NSW, 2008, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRare diseases affect few people, but collectively they affect a substantial proportion of the population. Limited treatment options and the additional challenges of securing public funding make reimbursement decision making particularly complex, mainly due to the inherent evidence uncertainty, lack of understanding of these diseases and the greater impact on non-health outcomes. This study explored societal preferences regarding which factors should be valued when considering public subsidy of drugs to treat rare diseases.

methodsA discrete choice experiment was developed, and respondents were asked to assume the role of a Government advisor and decide on funding between 2 drugs to treat a rare disease. Attributes were identified from the literature and focus groups, including uncertainty of the evidence, unmet need, magnitude of the clinical benefit, magnitude in quality of life and total cost to government. A representative sample of Australians (n = 1099) completed the online survey. Data were analysed using mixed logit regression and latent class models to examine heterogeneity. Willingness to pay was also estimated.

resultsIn general, respondents had a greater preference for drugs that increase survival, where there was greater confidence in the effectiveness of the new drug and which increased patients' capacity to do their usual activities. Preferences were not homogenous, the latent class analysis identified three groups: Class 3 (58%) demonstrated a strong preference for improvements in survival; Class 2 (21%) showed a strong preference for confidence in the evidence; and Class 1 (21%) positively valued increased government expenditure.

conclusionThese results are consistent with previous studies that used different methodologies in showing a preference for drugs with improved survival and quality of life. However, addressing a societal preference for greater confidence in the evidence - reducing evidential uncertainty - represents a methodological and policy challenge for the evaluation of drugs in rare diseases. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Rare DiseasesAdultAgedAustraliaChoice BehaviorFemaleHumansMaleMiddle AgedQuality of LifeSurveys and QuestionnairesDCEPreferencesRare disease

Identifiers

PMID41462301
PMCPMC12751238

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.