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Record W2038273512 · doi:10.5737/1181912x204166170

The supportive care needs of family members of men with advanced prostate cancer

2010· article· en· W2038273512 on OpenAlexaffvenue
Nancy Carter, Denise Bryant‐Lukosius, Alba DiCenso, Jennifer Blythe, Alan J. Neville

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsHamilton Health SciencesJuravinski Cancer CentreMcMaster University
Fundersnot available
KeywordsProstate cancerFocus groupMedicineExploratory researchIsolation (microbiology)Needs assessmentDiseaseFamily medicineCancerPsychologyNursingInternal medicineBioinformatics

Abstract

fetched live from OpenAlex

This exploratory study identified the supportive care needs of family members of men with advanced hormone-sensitive (HS) and hormone-refractory (HR) prostate cancer. In focus groups and individual interviews, we asked eight family members of men with HS disease and 11 family members of men with HR disease to identify their supportive care needs and recommend strategies for improving care to meet these needs. Unmet needs common to both groups were lack of information and uncertainty about the future. Unmet needs specific to family members affected by HR prostate cancer related to caregiver burden, practical assistance, and isolation. Implications for practice to improve supportive care services for families affected by APC are provided.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.013
GPT teacher head0.323
Teacher spread0.310 · 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

Citations31
Published2010
Admission routes2
Has abstractyes

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