Faculty Opinions recommendation of Factors affecting treatment choices in paediatric palliative care: comparing parents and health professionals.
Bibliographic record
Abstract
STUDY AIM: When children with cancer are no longer curable, parents often need to decide between further aggressive treatments or symptom relief alone. Objectives were to: (1) Describe and compare factors influencing parent and healthcare professional (HCP) decision-making regarding the choice between chemotherapy versus supportive care alone in paediatric palliative care; and (2) Describe how these factors influence this choice.METHODS: Participants included parents of children with cancer without a reasonable chance of cure and health care professionals in paediatric oncology. Respondents were asked to indicate the preferred option and to report what factors affected their choice. Each factor was then rated on an importance visual analogue scale (VAS) ranging from 0 to 10. The importance scales were compared between parents and HCPs and the influence of importance ratings on preferred option was examined.RESULTS: A total of 77 parents and 128 health care professionals participated. For parents the median importance scores for hope, increased survival time and child quality of life were rated as most important (VAS score=10). Parents rated these factors to be significantly more important than HCPs. Conversely, HCPs rated financial considerations more important than parents. For HCPs, stronger importance ranking for parent opinion was associated with stronger preference for aggressive chemotherapy.CONCLUSION: Hope, increased survival time and child quality of life are all more important factors to parents when decision-making at end-of-life compared to HCPs. Conversely, HCPs place greater emphasis on the families' financial considerations than parents. Understanding these differences may aid in communication and improve end-of-life care for children with cancer.Copyright © 2011 Elsevier Ltd. All rights reserved. PMID: 21669517 Funding information This work was supported by: Canadian Institutes of Health Research, Canada Grant ID: 87719
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.046 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.081 | 0.007 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".