Sharing Psychosocial Risk Assessment Information with Paediatric Oncology Healthcare Providers: Service Utilization and Related Factors
Bibliographic record
Abstract
The increased risk for psychosocial morbidity in paediatric oncology patients and their families is widely recognized. Although routine screening has been proposed as an important standard of care, systematic screening is limited. Additional research is required to provide evidence for greater integration of risk screening into clinical practice. The present study investigated whether healthcare providers’ (HCPs) knowledge of family psychosocial risk translates to increased rates of psychosocial intervention. The number of psychosocial services documented when HCPs provide care as usual or are informed of risk as measured by the Psychosocial Assessment Tool was compared. Results showed no significant difference in the number of services received by families when HCPs were aware of risk or not, indicating that knowledge of high-risk families is not sufficient to impact rates of intervention. The intensity of the child’s cancer treatment was found to be the strongest predictor of the amount of psychosocial care provided.
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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 | 0.003 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.004 | 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".