Finalising the administration of co-SSPedi, a dyad approach to symptom screening for paediatric patients receiving cancer treatments
Bibliographic record
Abstract
OBJECTIVES: Symptom Screening in Pediatrics Tool (SSPedi) is a validated self-report symptom screening tool for patients with cancer 8-18 years of age. Co-SSPedi is a novel dyad approach in which both child and parent complete SSPedi together. The objective was to finalise the approach to co-SSPedi administration with instruction that is easy to understand, resulting in dyads completing co-SSPedi correctly. METHOD: We enrolled child and parent dyads, who understood English and where children (4-18 years) had cancer or were hematopoietic stem cell transplantation recipients. We provided each dyad with instruction on how to complete co-SSPedi together. Mixed methods were used to determine how easy or hard the instruction was to understand. Two raters adjudicated if co-SSPedi was completed correctly. Dyads were enrolled in cohorts of 12 evenly divided by age (4-7, 8-10, 11-14 and 15-18 years). RESULTS: We enrolled 5 cohorts of 12 dyads, resulting in 60 dyads. Following verbal instruction provided in the first cohort, we identified the need for written instruction emphasising children should wait for parent response prior to entering scores. The instruction was iteratively refined based on qualitative feedback until the fifth cohort, where all 12 dyads found the instruction easy to understand and completed co-SSPedi correctly. CONCLUSIONS: We developed a standard approach to dyad symptom screening named co-SSPedi with instruction that is easy to understand, resulting in correct co-SSPedi completion. Future efforts should focus on co-SSPedi validation and understanding how co-SSPedi scores compare to self- or proxy-reported symptom reporting.
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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 | 0.000 | 0.002 |
| 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".