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Record W3208385939 · doi:10.1089/jayao.2021.0151

Preliminary Findings of Focus Group Analysis to Support the Needs of Adolescent and Young Adult Patients and Survivors of Cancer: Steps Toward a National Adolescent and Young Adult Supportive Care Program

2021· article· en· W3208385939 on OpenAlexaff
Tushar Vora, Stacy Chapman, Serena Uppal, Shaayini Shanawaz, Cristina Emanuele, Abha A. Gupta, Jonathan Avery

Bibliographic record

VenueJournal of Adolescent and Young Adult Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversity of TorontoUniversity of WaterlooPrincess Margaret Cancer CentreUniversity of ManitobaMcMaster UniversityCancerCare ManitobaUniversity of British ColumbiaHospital for Sick Children
Fundersnot available
KeywordsMedicineFocus groupYoung adultPeer supportPeer groupSurvivorship curveFamily medicineNursingCancerGerontologyPsychologyDevelopmental psychologyInternal medicine

Abstract

fetched live from OpenAlex

Adolescents and young adult (AYA) oncology care has evolved to address their unique supportive care needs, yet deficiencies remain. We planned a multiphase sequential mixed methods study beginning with focus groups (FGs) with AYAs receiving care at the Princess Margaret Cancer Centre, to improve supportive care delivery. Herewith, we report on the preliminary findings from first phase of project and outline future expected goals. Our findings suggest four major themes identified from FG discussion with AYAs: (1) having peer-driven support, (2) incorporating hybrid approach to information delivery, (3) integrating general practitioners in AYAs care, and (4) providing AYAs-specific supportive care programs.

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)0.033
metaresearch head score (Gemma)0.036
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 score0.033
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.036
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0040.002
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.322
Teacher spread0.304 · 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

Citations5
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Adolescent and Young Adult OncologySame topicChildhood Cancer Survivors' Quality of LifeFrench-language works237,207