Evidence map›Paper›PMID 29703952›Full record

ArticleEuropean journal of human genetics : EJHG2018

The Genomics ADvISER: development and usability testing of a decision aid for the selection of incidental sequencing results.

Yvonne Bombard, Marc Clausen, Chloe Mighton, Lindsay Carlsson, Selina Casalino, Emily Glogowski, Kasmintan Schrader, Michael Evans, Adena Scheer, Nancy Baxter and 5 more

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. The role of digital tools in the delivery of genomic medicine: enhancing patient-centered care.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Trial
  5. Review
  6. Article
  7. Article
  8. Interaction of identity and beliefs with genetic literacy.American journal of human genetics · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Opportunistic genomic screening has clinical utility: An interventional cohort study.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  14. Article
  15. Article
  16. Evaluation of a two-step model of opportunistic genomic screening.European journal of human genetics : EJHG · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. 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

15 authors.

Yvonne BombardInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada. yvonne.bombard@utoronto.ca.
Marc ClausenLi Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, ON, Canada.
Chloe MightonInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
Lindsay CarlssonUniversity Health Network, Toronto, ON, Canada.
Selina CasalinoLi Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, ON, Canada.
Emily GlogowskiGeneDx, Gaithersburg, MD, USA.
Kasmintan SchraderBC Cancer Agency, Vancouver, BC, Canada.
Michael EvansInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
Adena ScheerLi Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, ON, Canada.
Nancy BaxterInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
Jada G HamiltonMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Jordan Lerner-EllisMount Sinai Health System, Lunenfeld-Tanenbaum Research Institute, Toronto, ON, Canada.
Kenneth OffitMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Mark RobsonMemorial Sloan Kettering Cancer Center, New York, NY, USA.
Andreas LaupacisInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
CIHRNCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Guidelines recommend patients be informed of their incidental results (IR) when undergoing genomic sequencing (GS), yet there are limited tools to support patients' decisions about learning IR. The aim of this study is to develop and test the usability of a decision aid (DA) to guide patients' selection of IR, and to describe patients' preferences for learning IR following use of the DA. We developed and evaluated a DA using an iterative, mixed-methods process consisting of (1) prototype development, (2) feasibility testing, (3) cognitive interviews, (4) design and programming, and (5) usability testing. We created an interactive online DA called the Genomics ADvISER, a genomics decision AiD about Incidental SEquencing Results. The Genomics ADvISER begins with an educational whiteboard video, and then engages users in a values clarification exercise, knowledge quiz and final choice step, based on a 'binning' framework. Participants found the DA acceptable and intuitive to use. They were enthusiastic towards GS and IR; all selected multiple categories of IR. The Genomics ADvISER is a new patient-centered tool to support the clinical delivery of incidental GS results. The Genomics ADvISER fills critical care gaps, given the health care system's limited genomics expertise and capacity to convey the large volume of IR and their myriad of implications.

Indexed as

Decision MakingSoftwareUser-Computer InterfaceDecision Support TechniquesGenomicsHumansPatient Preference

Identifiers

PMID29703952
PMCPMC6018661

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.