Decision aids available for parents making end‐of‐life or palliative care decisions for children: A scoping review
Bibliographic record
Abstract
AIM: To identify and assess the quality of decision aids that align the decision, values and information provided for parents making end-of-life or palliative care decisions for children with life-threatening conditions. METHODS: Six databases and the grey literature were searched in December 2018. Two reviewers independently reviewed database citations, and one reviewed grey literature citations. Citation chaining via Scopus was conducted. Quality was assessed using IPDAS Collaboration Criteria. RESULTS: After reviewing 18 671 database citations and 10 988 grey literature citations, 18 citations describing 11 decision aids remained. Decision aids targeted premature infants, children requiring airway management, children with cancer and children with scoliosis. Three aids underwent testing beyond initial development. Quality scores averaged 27 of 50 points. CONCLUSIONS: There are few high-quality decision aids available for use and a lack evidence of widespread clinical use. Additional research is needed to support systematic development and the use of decision aids with families.
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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 | 0.036 | 0.174 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.020 | 0.020 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".