Changes in Siblings After the Death of a Child From Cancer
Bibliographic record
Abstract
BACKGROUND: Few studies have examined changes in siblings after the death of a brother or sister, particularly from mother, father, and sibling perspectives within the first year after death. OBJECTIVE: This descriptive study identified and assessed the frequency of changes in siblings after a child's death from cancer. METHODS: Participants were recruited from cancer registries at 3 hospitals in the United States and Canada 3 to 12 months after the child's death. Thirty-six mothers, 24 fathers, and 39 siblings from 40 families were included. Semistructured interviews using open-ended questions were conducted with each parent and sibling separately in the home. Content analysis identified emerging themes, and the McNemar tests compared frequencies between each paired set of reports (sibling vs mother, sibling vs father, mother vs father). RESULTS: Sixty-nine percent of participants reported personal changes in siblings (eg, changes in personality, school work, goals/life perspective, activities/interests). Forty-seven percent noted changes in siblings' relationships with family members and peers. Only 21% of participants reported no changes attributed to the death. Comparisons of frequencies across informants were not significant. CONCLUSIONS: Most siblings experienced changes in multiple areas of their lives after the death of a brother or sister to cancer. Some changes reflected siblings that were positively adapting to the death, whereas other changes reflected difficulties. IMPLICATIONS FOR PRACTICE: Our findings offer guidance to improve aftercare for bereaved siblings and their families. Additional research is needed to further delineate the needs of bereaved siblings and to develop strategies to promote adaptation to loss.
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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 | 0.001 | 0.008 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".