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Record W2809779351 · doi:10.1188/18.onf.527-544

Children’s Experiences of Cancer Care: A Systematic Review and Thematic Synthesis of Qualitative Studies

2018· review· en· W2809779351 on OpenAlex
Lindsay Jibb, Lindsay Croal, Jingting Wang, Changrong Yuan, Joel Foster, Verna Cheung, Brenda Gladstone, Jennifer Stinson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOncology nursing forum · 2018
Typereview
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer CentreHospital for Sick ChildrenUniversity of Ottawa
Fundersnot available
KeywordsMedicineQualitative researchThematic analysisRelevance (law)MEDLINESystematic reviewQuality of life (healthcare)Qualitative propertyFamily medicineNursing

Abstract

fetched live from OpenAlex

PROBLEM IDENTIFICATION: Improvements in pediatric cancer survival have increased interest in the experiences of children undergoing treatment; however, no review of the qualitative literature describing these experiences has been conducted. LITERATURE SEARCH: Databases were searched from January 2000 to January 2016 for qualitative studies describing the experience of children with cancer aged 18 years or younger. DATA EVALUATION: Two reviewers assessed abstracts for relevance and rated reporting comprehensiveness. Participant quotations and descriptions of participants' comments and behaviors were coded. Coded data were pooled to provide a thematic synthesis. SYNTHESIS: 51 studies were included. Five themes were identified. IMPLICATIONS FOR RESEARCH: Results provide data related to the experience of children with cancer that can inform practice changes and research activities aimed at enhancing quality of life.

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.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.027
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0110.001
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
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 head0.118
GPT teacher head0.515
Teacher spread0.397 · 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