Single-Parent Caregivers of Children with Cancer
Bibliographic record
Abstract
OBJECTIVES: Caring for a child with a cancer can result in significant financial strain on families, which in turn can affect parental emotional, physical, and social health. We explored the supportive factors and resources that helped single parents of children with cancer throughout the caregiving process. METHODS: Using a constructivist grounded theory approach, we recruited 29 single parents of children with cancer that were at least 6 months postdiagnosis and 2 hospital social workers across 4 Canadian pediatric oncology centers. RESULTS: Many parents had knowledge of, accessed, and received support from family, friends, community (eg, teachers, religious organizations) and cancer organizations and government programs. Nonetheless, they reported a number of unmet needs. CONCLUSIONS: Participants reported their need for more social-emotional, practical, and financial support to assist them with their caregiving duties. We recommend that hospitals provide education to describe (a) supports available to families and (b) parental caregiver needs to families' support networks. Further research is needed to identify limitations of the current public benefit schemes for caregivers.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".