Evidence map›Paper›PMID 30992550›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2019

Research participants' preferences for receiving genetic risk information: a discrete choice experiment.

Jennifer Viberg Johansson, Sophie Langenskiöld, Pär Segerdahl, Mats G Hansson, Ulrika Ugander Hösterey, Anders Gummesson, Jorien Veldwijk

Abstract read
PubMed Publisher
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 5 pooled it
–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

14 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. 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.

Jennifer Viberg JohanssonCentre for Research Ethics & Bioethics, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden. jennifer.viberg@crb.uu.se.ORCID http://orcid.org/0000-0001-9533-9274
Sophie LangenskiöldDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-3888-2910
Pär SegerdahlCentre for Research Ethics & Bioethics, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-3892-1537
Mats G HanssonCentre for Research Ethics & Bioethics, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.
Ulrika Ugander HöstereyDepartment of Clinical Pathology and Genetics, Sahlgrenska University Hospital, Gothenburg, Sweden.
Anders GummessonDepartment of Clinical Pathology and Genetics, Sahlgrenska University Hospital, Gothenburg, Sweden.ORCID http://orcid.org/0000-0003-0024-960X
Jorien VeldwijkCentre for Research Ethics & Bioethics, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-4822-5068

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aims to determine research participants' preferences for receiving genetic risk information when participating in a scientific study that uses genome sequencing.

methodsA discrete choice experiment questionnaire was sent to 650 research participants (response rate 60.5%). Four attributes were selected for the questionnaire: type of disease, disease penetrance probability, preventive opportunity, and effectiveness of the preventive measure. Panel mixed logit models were used to determine attribute level estimates and the heterogeneity in preferences. Relative importance of the attribute and the predicted uptake for different information scenarios were calculated from the estimates. In addition, this study estimates predicted uptake for receiving genetic risk information in different scenarios.

resultsAll characteristics influenced research participants' willingness to receive genetic risk information. The most important characteristic was the effectiveness of the preventive opportunity. Predicted uptake ranged between 28% and 98% depending on what preventive opportunities and levels of effectiveness were presented.

conclusionInformation about an effective preventive measure was most important for participants. They valued that attribute twice as much as the other attributes. Therefore, when there is an effective preventive measure, risk communication can be less concerned with the magnitude of the probability of developing disease.

Indexed as

AdultAgedChoice BehaviorFemaleGenetic TestingHumansMaleMiddle AgedPatient PreferencePenetrancePrimary PreventionRisk FactorsSurveys and Questionnairesgenetic risk informationincidental findingspreferences for genetic risk informationresearch participantssecondary findings

Identifiers

What OpenQuestion holds

Textmetadata
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.