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Record W2592097805 · doi:10.3747/co.24.3419

Listening through Narratives: Using a Narrative Approach When Discussing Fertility Preservation Options with Young Cancer Patients

2017· article· en· W2592097805 on OpenAlexafffundvenueabout
Sophie Isabelle Grace Roher, Jennifer Gibson, Barbara E. Gibson, Abha A. Gupta

Bibliographic record

VenueCurrent Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsHospital for Sick ChildrenSickKids FoundationHolland Bloorview Kids Rehabilitation HospitalInstitute for Work & HealthUniversity of Toronto
FundersKids With Cancer SocietyChildhood Cancer CanadaCanadian Institutes of Health ResearchHospital for Sick Children
KeywordsFertility preservationNarrativeFertilityActive listeningMedicineGuidelineMedical educationTypologyFocus groupFamily medicinePsychologyPsychotherapistPopulationSociologyPathology

Abstract

fetched live from OpenAlex

Despite clinical practice guideline recommendations mandating that fertility preservation be discussed with young cancer patients, many providers fail to initiate such discussions with adolescents. Researchers and clinicians often focus on system-level changes to improve access to fertility preservation for adolescents and young adults in Canada. However, little of the available information considers the way in which health care providers approach those discussions. Research has shown that, even when fertility preservation options are broached with adolescents, survivors often report dissatisfaction with those conversations, thus raising additional concerns about their content and quality. Here, we consider how a narrative approach—and the Frank narrative typology in particular—could improve the quality of such conversations by helping providers to more accurately and thoughtfully respond to the needs of adolescent patients when discussing the possibility of fertility preservation. Based on findings from a qualitative research project, we provide concrete suggestions for how to more sensitively approach fertility preservation conversations with male adolescent cancer patients and survivors.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.874

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.254
GPT teacher head0.471
Teacher spread0.217 · 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

Citations10
Published2017
Admission routes4
Has abstractyes

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