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Record W2754411127 · doi:10.1007/s10897-017-0148-x

Perspectives of Women Considering Bilateral Prophylactic Mastectomy and their Peers towards a Telephone‐Based Peer Support Intervention

2017· article· en· W2754411127 on OpenAlexafffund
Dominique St-Pierre, Karine Bouchard, Lynn R. Gauthier, Jocelyne Chiquette, Michel Dorval

Bibliographic record

VenueJournal of Genetic Counseling · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsCentre intégré de santé et de services sociaux de Chaudière-AppalachesHôpital du Saint-SacrementUniversité Laval
FundersFondation du cancer du sein du Québec
KeywordsProphylactic MastectomyMastectomyIntervention (counseling)Thematic analysisBreast cancerMedicineQualitative researchDyadPatient satisfactionAnxietyTelephone interviewPhysical therapyFamily medicinePsychologyNursingCancerPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Prophylactic mastectomy is an effective strategy to reduce the risk of breast cancer for women carrying a BRCA1/2 germline mutation. This decision is complex and may raise various concerns. Women considering this surgery have reported their desire to discuss the implications of this procedure with women who have undergone prophylactic mastectomy. We conducted a qualitative study to describe the topics covered during a telephone-based peer support intervention between women considering prophylactic mastectomy (recipients) and women who had undergone this surgery (peers), and to explore their perspectives regarding the intervention. Thirteen dyads were formed and data from participant logbooks and evaluation questionnaires were analyzed using a thematic content analysis. Three main dimensions emerged: physical, psychological, and social. The most frequent topics discussed were: surgery (92%), recovery (77%), pain and physical comfort (69%), impacts on intimacy and sexuality (54%), cancer-related anxiety (54%), experience related to loss of breasts (46%). Peers and recipients report that sharing experiences and thoughts about prophylactic mastectomy and the sense of mutual support within the dyad contributed significantly to their satisfaction. Special attention should be paid to the similarities between personal and medical profiles in order to create harmonious matches.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.444

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.013
GPT teacher head0.280
Teacher spread0.267 · 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 designBench or experimental
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

Citations21
Published2017
Admission routes2
Has abstractyes

Explore more

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