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Record W2996722499 · doi:10.1002/jgc4.1209

Genetic health professionals' experiences returning results from diagnostic genomic sequencing to patients

2019· article· en· W2996722499 on OpenAlexaffabout
Danya F. Vears, Karine Sénécal, Pascal Borry

Bibliographic record

VenueJournal of Genetic Counseling · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsMcGill University
FundersVlaamse regeringFonds Wetenschappelijk Onderzoek
KeywordsDisappointmentGenetic counselingDistressMedicineGenetic testingGenomic sequencingHealth professionalsHealth carePsychiatryPsychologyClinical psychologyFamily medicinePsychotherapistGeneticsInternal medicineBiologyGenome

Abstract

fetched live from OpenAlex

Despite widespread use of genomic sequencing (GS) in clinical care, there has been little exploration of actual experiences of genetic health professionals (GHPs) using GS in clinical practice worldwide. To address this, semi-structured interviews were conducted with 31 clinical geneticists and genetic counselors across Europe, Australia, and Canada to explore their experiences with returning results from GS to patients. GHPs remarked that patients' reactions to receiving causative results vary; some patients are relieved or appreciative at identification of a genetic cause, while others express frustration that finding an answer does not lead to a treatment. GHPs discussed the importance of managing expectations in pre-test counseling to minimize disappointment. Although some patients experience mild distress, they generally cope well receiving unsolicited findings and appreciate being informed of their increased risk. While many GHPs felt patients understand what a variant of uncertain significance (VUS) means, a proportion found VUS quite difficult to convey and had concerns for patients' level of understanding. A proportion mentioned concerns regarding potential negative repercussions of non-genetic clinicians misinterpreting the significance of VUS. These results provide important insights into the challenges GHPs can experience returning GS results to patients, highlighting a need for additional training for GHPs and non-genetic clinicians.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score0.679

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.251
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2019
Admission routes2
Has abstractyes

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