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Record W2018568222 · doi:10.5737/1181912x223162167

Perspectives of women about external breast prostheses

2012· article· en· W2018568222 on OpenAlexaffvenue
Margaret I. Fitch, Alison McAndrew, Andrea Harris, J. R. Anderson, Todd M. Kubon, Jay McClennen

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2012
Typearticle
Languageen
FieldMedicine
TopicBreast Implant and Reconstruction
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsProsthesisLumpectomyBreast cancerMedicineMastectomyCancerSurgeryInternal medicine

Abstract

fetched live from OpenAlex

As many as 90% of women who have undergone mastectomy or lumpectomy for breast cancer surgery will choose to wear a breast prosthesis. To date, there has been little systematic exploration of experiences and preferences related to wearing external breast prostheses, especially with new products. For this qualitative descriptive study, 24 women were interviewed regarding their perspectives about the conventional breast prosthesis and 19 about their perspectives regarding a newly available custom-designed breast prosthesis. Women spoke about difficulties obtaining information regarding available breast prostheses options; the awkwardness of being measured and fitted for a prosthesis, especially with seemingly untrained staff; challenges in wearing an external prosthesis; and how a prosthesis can foster increased confidence, enhanced body image and self-esteem, and a sense of normalcy. All recommended that women must make an individual decision about wearing a breast prosthesis and emphasized how important it is to have information about options early in the cancer journey. The study findings can guide oncology nurses in educating women about breast prostheses.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.883
Threshold uncertainty score0.999

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)0.0010.000

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 head0.015
GPT teacher head0.293
Teacher spread0.278 · 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 designOther design
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

Citations19
Published2012
Admission routes2
Has abstractyes

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