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Record W4307544201 · doi:10.5737/23688076324484

Improving community and healthcare services for young adults living with cancer: Suggestions from a multiple stakeholder workshop

2022· article· en· W4307544201 on OpenAlexaffvenueabout
Karine Bilodeau, Benedicta Hartono, Virginia Lee, Nathalie Folch, Danielle Charpentier, Marie‐France Vachon, Marie‐Pascale Pomey, Serge Sultan, Billy Vinette, Ali El-Akhras

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineOccupational Cancer Research CentreCentre Hospitalier de l’Université de MontréalMcGill University Health CentreUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsThematic analysisStakeholderStakeholder engagementSurvivorship curveCancer survivorshipHealth carePerceptionCommunity engagementGerontologyNursingCancerPsychologyMedicineFamily medicineQualitative researchPublic relationsSociologyPolitical science

Abstract

fetched live from OpenAlex

Background and objectives: Despite the availability of healthcare and community services dedicated to cancer survivors, these remain underutilized by young adults living with cancer (YAC; aged 18-39). A workshop was organized in Montréal, Canada, to identify the needs of YAC during their post-treatment transition period and explore existing services dedicated to YAC. Methods: We recruited seventeen stakeholders (N = 17), including seven YAC, to participate in a one-day workshop to consult about best approaches and practices to meet the needs of YAC, post-treatment. All discussions were transcribed, and a thematic qualitative analysis was performed. Results: Two main findings were identified: differences and similarities among stakeholders about perceptions of post-treatment needs; and suggestions to meet YAC needs following treatment. Conclusions: Results demonstrate the importance of collaboration among multiple stakeholders, including YAC, when designing services for YAC. Results include suggestions to improve services available through community or healthcare centres.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score1.000

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 studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.051
GPT teacher head0.332
Teacher spread0.281 · 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.

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

Citations4
Published2022
Admission routes3
Has abstractyes

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