Evidence map›Paper›PMID 41686341›Full record

ArticleThe patient2026

Societal Preferences, Values and Priorities for Genomic Testing for Atrial Fibrillation: Evidence from Two Discrete Choice Experiments.

Cun Liu, Stephanie Best, Diane Fatkin, Ilias Goranitis

Abstract read
In one paragraph

Article in The patient, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Cun LiuEconomics of Genomics and Precision Medicine Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia.
Stephanie BestMelbourne School of Health Sciences, University of Melbourne, Melbourne, VIC, Australia.
Diane FatkinVictor Chang Cardiac Research Institute, Darlinghurst, NSW, Australia.
Ilias GoranitisEconomics of Genomics and Precision Medicine Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia. ilias.goranitis@unimelb.edu.au.ORCID 0000-0001-7946-8324

Funding

National Heart Foundation of Australia 105516
6 · The paper itself

Abstract

BACKGROUND AND

objectiveAtrial fibrillation is the most common sustained cardiac arrhythmia and is associated with an increased risk of stroke, heart failure and death. Genetic factors can contribute to atrial fibrillation pathogenesis and have the potential for atrial fibrillation risk stratification and clinical management. Using stated preference methods, this paper provides the first empirical evidence on consumer preferences, values and priorities for genomic testing in atrial fibrillation.

methodsTwo discrete choice experiment surveys were designed and administered to the Australian public. Participants were asked to imagine situations where they either developed atrial fibrillation symptoms (symptomatic patients survey, n = 503) or had close family members diagnosed with atrial fibrillation (at-risk relatives survey, n = 506). Each participant was given 12 hypothetical scenarios involving five key aspects of genomic testing. Choice data were analysed using panel error component mixed logit and latent class models.

resultsThe two most valued benefits were clinical implications for monitoring personal cardiac complications other than atrial fibrillation and health implications for other family members. Cost was the main driver of preferences for testing. The value of genomic testing was estimated at $2900 for symptomatic patients and approximately 10% less for at-risk relatives. Uptake was predicted at around 82% for both groups if the test was publicly funded. People of lower financial or educational status and people without private health insurance were less likely to take-up genomic testing.

conclusionsGenomic testing for atrial fibrillation has perceived value for symptomatic patients and at-risk relatives. Tailored educational programmes and targeted support are essential to improve access for socioeconomically disadvantaged groups.

Indexed as

Atrial FibrillationChoice BehaviorGenetic TestingPatient PreferenceSocial ValuesAdultAgedAustraliaFemaleHumansMaleMiddle AgedSurveys and Questionnaires

Identifiers

PMID41686341
PMCPMC13287222

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LicenceCC BY
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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.