Improving the Quality of Life of Cancer Survivors in School: Consensus Recommendations Using a Delphi Study
Bibliographic record
Abstract
Successful school re-entry is important for children following cancer treatment. However, this process is a challenge for teachers. OBJECTIVES: To identify (1) the difficulties and needs that teachers have in helping youth cancer survivors be successful in school, (2) the most effective resources that teachers are currently using for helping them, and (3) the ideal contents for a program that could help teachers in this area. METHODS: Twenty-eight teachers participated in a Delphi study. RESULTS: A lack of knowledge regarding how to best help and having to deal with the student's problems were identified as difficulties. Specific training, psychological support, and advice from health professionals were the most commonly reported needs. Maintaining contact with the family and the students and providing personalized attention were viewed as the most useful resources. Finally, knowledge about the disease itself and how to facilitate successful school re-entry were identified as important program components. CONCLUSION: The findings provide important new information regarding the lack of both resources and support for teachers who seek to help youth cancer survivors. The findings can be used to inform the development of an intervention to help teachers become more successful in facilitating successful school re-entry.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".