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Record W2257147046 · doi:10.1188/16.onf.e34-e42

Young Adults’ Perceptions of the Venturing Out Pack Program as a Tangible Cancer Support Service

2016· review· en· W2257147046 on OpenAlexaffabout
Laila Wazneh, Argerie Tsimicalis, Carmen G. Loiselle

Bibliographic record

VenueOncology nursing forum · 2016
Typereview
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsMcGill UniversityMontreal Children's Hospital
Fundersnot available
KeywordsMedicinePerceptionService (business)CancerMarketingPsychologyInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE/OBJECTIVES: To explore the extent to which contents contained in a backpack called the Venturing Out Pack (Vo-Pak) assist in meeting the practical, psychosocial, and informational needs of young adults (YAs), as well as how the Vo-Pak could better meet the needs of YAs. . RESEARCH APPROACH: Qualitative, descriptive. . SETTING: A university-affiliated adult hospital cancer center in Montreal, Quebec. . PARTICIPANTS: 12 YAs treated for cancer. . METHODOLOGIC APPROACH: One-time, individual, semistructured interviews. Verbatim transcripts underwent thematic analysis. . FINDINGS: Participants viewed the Vo-Pak as a welcoming, ready-to-use, timely package that met many cancer-related needs. The Vo-Pak contains three kits. CONCLUSIONS: This program adds value to efforts to enhance cancer care for YAs. Integrating participants' recommendations contributes to the overarching goal of comprehensive person-centered care to an underserved segment of the cancer population. . INTERPRETATION: The Vo-Pak program could be optimized by re-engaging healthcare professionals in its broader dissemination. Champions may be added to optimize the successful implementation of tangible support programs. YAs seem eager to connect with peers. The Vo-Pak can be instrumental in facilitating these connections and enabling these exchanges.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.050
GPT teacher head0.442
Teacher spread0.392 · 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 designOther design
Domainnot available
GenreReview

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
Published2016
Admission routes2
Has abstractyes

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