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Record W2110048594 · doi:10.1080/09581590601089038

Does breast cancer genetic counselling meet women's expectations? A qualitative study

2006· article· en· W2110048594 on OpenAlexaff
Aileen Grant, Edwin van Teijlingen, Karen Forrest-Keenan, Nicola Torrance, Brenda J. Wilson, Neva E. Haites

Bibliographic record

VenueCritical Public Health · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsQualitative researchBreast cancerGenetic counselingMedicineCancerPsychologyGynecologySociologyBiologyInternal medicineGeneticsSocial science

Abstract

fetched live from OpenAlex

A high demand exists in the United Kingdom for breast cancer genetic counselling. Due to the disease's high incidence, many women who received such counselling are eventually assessed as not being at high genetic risk. This study elicits the experiences and perceptions of such women, as little research has been conducted. A qualitative interview-based study was conducted in the north-east of Scotland with a sample of women at low to moderate risk of developing breast cancer, who had received genetic counselling. The interviews addressed the women's reasons for attending genetic counselling, their prior expectations and their perceptions of the outcomes of counselling. A thematic analysis was conducted to identify the key themes. The women themselves were mainly responsible for raising concerns regarding family history and, in general, sought information and reassurance about their own risk. Whilst they generally felt reassured after counselling, many did not understand the information they had been given and some continued to overestimate their own risk of disease. For many an important motivation for seeking counselling was to receive (more frequent) mammography screening, for which they perceived the genetic counsellors as gatekeepers. Some also expected a genetic test. The study findings were consistent with much of the published literature. Genetic counsellors must understand that genetic information, especially the risk as perceived, is not always well understood. This in turn may influence the further communication of risk information within the family. Also, people coming forward for genetic counselling may not be aware of some of the unintended consequences of such counselling, such as, for example, having to declare information to insurance companies and/or (potential) employers. If primary care practitioners are the main route through which people reach genetic counsellors, these professionals need to be kept up to date on issues related to genetics, and genetic testing and counselling.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0100.008
Scholarly communication0.0050.004
Open science0.0020.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.027
GPT teacher head0.385
Teacher spread0.358 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations5
Published2006
Admission routes1
Has abstractyes

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