Evidence map›Paper›PMID 31186546›Full record

ArticleEuropean journal of human genetics : EJHG2019

Do health professionals value genomic testing? A discrete choice experiment in inherited cardiovascular disease.

James Buchanan, Edward Blair, Kate L Thomson, Elizabeth Ormondroyd, Hugh Watkins, Jenny C Taylor, Sarah Wordsworth

Open access · hybridAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 4 pooled it
1.4field-weighted citation impact, top 17% of its field
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

13 citing papers in PubMed, 4 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Preferences for Genetic Testing to Predict the Risk of Developing Hereditary Cancer: A Systematic Review of Discrete Choice Experiments.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Resource allocation in genetic and genomic medicine.Journal of community genetics · 2022
    Article
  13. 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

7 authors at 3 institutions in 1 country.

James BuchananHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK. james.buchanan@dph.ox.ac.uk.ORCID http://orcid.org/0000-0003-2528-0638
Edward BlairOxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Kate L ThomsonOxford Medical Genetics Laboratory, Oxford University Hospitals NHS Foundation Trust, The Churchill Hospital, Oxford, UK.
Elizabeth OrmondroydNational Institute for Health Research Biomedical Research Centre, Oxford, UK.ORCID http://orcid.org/0000-0002-9116-4064
Hugh WatkinsNational Institute for Health Research Biomedical Research Centre, Oxford, UK.
Jenny C TaylorNational Institute for Health Research Biomedical Research Centre, Oxford, UK.ORCID http://orcid.org/0000-0003-3602-5704
Sarah WordsworthHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK.
National Institute for Health Research · GBChurchill Hospital · GBCentre for Human Genetics · GB

Funding

Wellcome TrustWellcome Trust 090532/Z/09/Z
6 · The paper itself

Abstract

Next generation sequencing (NGS) approaches are moving from research into clinical practice. However, the optimal NGS approach in well-defined adult-onset familial diseases, such as inherited cardiovascular disease, remains unclear. We aimed to determine which attributes encouraged or discouraged the uptake of genomic tests in this context, and whether this differed by test type. We conducted a web-based discrete choice experiment in health professionals in the UK who order NGS tests for inherited cardiovascular disease. Respondents completed 12 hypothetical choice tasks in which they selected a preferred test from four alternatives: whole genome sequencing, whole exome sequencing, panel testing and genetic testing not indicated. Tests were specified in terms of five attributes: diagnostic yield, detection rate for variants of unknown significance, cost, quantity of counselling received and disclosure of secondary findings. Mixed logit regression analysis was used to analyse the choice data. We found that uptake of NGS increases if tests identify more pathogenic mutations, identify fewer variants of unknown significance, or cost less. Respondents were willing to pay £117 for every 1% increase in diagnostic yield. Considerable heterogeneity was observed around preferences for several test attributes. Overall, panel testing had the highest predicted uptake rate. Our results indicate that NGS tests are valued by health professionals for well-defined adult-onset familial diseases, however, these professionals have strong preferences for panel testing rather than whole genome sequencing and whole exome sequencing. This finding suggests that different uptake rates should be explicitly modelled when designing and evaluating future genomic testing services.

Indexed as

AdultAgedCardiovascular DiseasesChoice BehaviorDelivery of Health CareDisclosureExome SequencingFemaleGenetic TestingGenomicsHealth PersonnelHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedMutation

Identifiers

PMID31186546
PMCPMC6870981
OpenAlexW2950934158

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.