Discordance between pediatric self‐report and parent proxy‐report symptom scores and creation of a dyad symptom screening tool (co‐SSPedi)
Bibliographic record
Abstract
Symptom Screening in Pediatrics Tool (SSPedi) (age 8-18 years) and mini-SSPedi (age 4-7 years) can be used to self-report and proxy-report bothersome symptoms in pediatric patients receiving cancer treatments. There are limitations of sole child self-report or proxy-report. An approach in which children and parents complete symptom reports together may be useful. The aim of our study was to describe discordance between child self-report and parent proxy-report symptom scores, and to determine how these scores compare to an approach in which reporting is performed together (co-SSPedi). Children and parents completed SSPedi or mini-SSPedi separately. Discordant symptoms were shared with respondents and discussed. Next, the dyad completed co-SSPedi together and were asked which approach they preferred. Discordance was evaluated for each symptom and was defined as a difference of at least 2 points on an ordinal scale ranging from 0 (not at all bothered) to 4 (extremely bothered). Of the 48 enrolled dyads (children, median age, 10.8 years; 54.2% male), 41 (85.4%) had discordance in at least one symptom. There was no clear pattern in discordance by age group. When a dyad approach was used, more co-SSPedi scores agreed with the original child self-report scores (59 dyads, 56.2%) compared to original parent proxy-report scores (15 dyads, 14.3%) for discordant symptoms. Forty-three (89.6%) dyads preferred to complete SSPedi together. Future work should evaluate the psychometric properties of co-SSPedi.
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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 | 0.009 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".