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Record W4396509049 · doi:10.5737/23688076342151

Decision support for breast cancer screening decisions: A single case pre-/post-test study

2024· article· en· W4396509049 on OpenAlexaffvenueabout
Mia McDonald, Dawn Stacey

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiomedical Text Mining and Ontologies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBreast cancerTest (biology)CancerBreast cancer screeningMedicineGynecologyPsychologyMammographyInternal medicineBiology

Abstract

fetched live from OpenAlex

Canadian guidelines recommend shared decision making for women less than 50 years old who are considering breast cancer screening. Nurses can support women in making these decisions. This single case pre-/post-test study measured change in decisional conflict after decision support for a woman less than 50 years old considering whether or not to initiate mammography screening. At baseline, a 44-year-old female at average risk of breast cancer was experiencing decisional conflict. She scored 1 out of 4 on the SURE test indicating feeling uninformed, unclear values, and inadequate support. After receiving decision coaching with a breast cancer screening decision aid by a nurse trained in decision coaching, she scored 4 on the SURE test indicating no decisional conflict. She reached an informed decision consistent with her values about mammography screening. Providing decisional support improved her knowledge, reduced her decisional conflict, and enhanced her confidence in making an informed decision that was consistent with her values.

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)0.001
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 score0.938
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.045
GPT teacher head0.369
Teacher spread0.324 · 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

Citations1
Published2024
Admission routes3
Has abstractyes

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