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Palliative Care of Children With Brain Tumors

2010· article· en· W2028110907 on OpenAlexaff
Shayna Zelcer, Danielle Cataudella, A. Elizabeth L. Cairney, Susan L. Bannister

Bibliographic record

VenueArchives of Pediatrics and Adolescent Medicine · 2010
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsThematic analysisFocus groupQualitative researchPalliative careCoping (psychology)Psychological resiliencePsychologyMedicineClinical psychologyNursingPsychotherapist

Abstract

fetched live from OpenAlex

OBJECTIVE: To explore the end-of-life experience of children with brain tumors and their families. DESIGN: Qualitative analysis of focus group interviews. SETTING: Children's Hospital, London Health Sciences Center. PARTICIPANTS: Twenty-five parents of 17 children who had died of brain tumors. INTERVENTION: Parents participated in 3 semistructured focus group interviews. MAIN OUTCOME MEASURES: Themes identified through thematic analysis of interview transcripts. RESULTS: Qualitative analysis identified 3 primary themes. (1) Parents described the dying trajectory of their child as characterized by progressive neurologic deterioration, with the loss of the ability to communicate as a turning point. Parental coping mechanisms included striving to maintain normality and finding spiritual strength through maintaining hope and in the resilience of their child. (2) Parental struggles during this phase included balancing competing responsibilities and speaking with their child about death. (3) Barriers to achieving a home death included suboptimal symptom management, financial and practical hardships, and inadequate community support. A fourth, secondary theme concerned the therapeutic benefits of the interview. CONCLUSION: The neurologic deterioration that characterizes the dying trajectory of children with brain tumors may create significant challenges for health care professionals and the children's parents, supporting the need for increased awareness of the distinct issues in the palliative care of children with brain tumors and for early anticipatory guidance provided for families.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.013
GPT teacher head0.283
Teacher spread0.270 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations97
Published2010
Admission routes1
Has abstractyes

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