MétaCan
Menu
Back to cohort
Record W2028211095 · doi:10.1177/0269216307077173

Challenges to participation in paediatric palliative care research: a review of the literature

2007· review· en· W2028211095 on OpenAlexaff
Deborah Tomlinson, Ute Bartels, Eleanor Hendershot, Julie Constantin, Glynis Wrathall, Lillian Sung

Bibliographic record

VenuePalliative Medicine · 2007
Typereview
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsInstitute for Clinical Evaluative SciencesSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsPalliative careGeneral partnershipMedicineNursingHealth professionalsEnd-of-life careFamily medicineHealth care

Abstract

fetched live from OpenAlex

It has been identified that there is a need for increased palliative care research within the paediatric setting. The assessment of parental views is necessary for this population. However, the conduct of research and recruitment of participants is often challenging. While conducting a study that involved parents of children receiving palliative or end-of-life care, the authors found that there were particular challenges to recruiting these parents. This comprehensive review of the literature aims to address the ethical and recruitment issues of involving parents of children that are receiving palliative or end-of-life care. Key elements, that may maximize completion of research and a more representative sample, are also discussed. These elements include obtaining the opinions on study design and interview script from experienced families and maximizing the partnership between health care professionals and the research team.

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)0.012
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.988
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0080.012
Science and technology studies0.0010.001
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.417
GPT teacher head0.539
Teacher spread0.123 · 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.

Study designSystematic review
DomainMethods
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

Citations49
Published2007
Admission routes1
Has abstractyes

Explore more

Same venuePalliative MedicineSame topicChildhood Cancer Survivors' Quality of LifeFrench-language works237,207