A Debate on the Proposition that Self-report is the Gold Standard in Assessment of Pediatric Pain Intensity
Bibliographic record
Abstract
OBJECTIVES AND METHODS: Self-report is often represented as "the gold standard" in assessment of pain intensity in children. We evaluate arguments for and against this claim and consider its implications for pain management. RESULTS: Those in the support of the proposition argue that, when children are able to self-report, treatment decisions should be made based on these scores in line with current evidence-based recommendations. Pain is a subjective phenomenon and can be assessed only via self-report. Treating self-report scores as the gold standard is the only valid way for health care professionals to decide on appropriate treatment.Those against the proposition contend that reliance on self-reported pain scores for analgesic treatment decisions is inappropriate as they oversimplify the pain experience, yield only marginal information on which to base treatment decisions, and potentially place children at significant risk for adverse events. Self-reports of pain intensity sometimes contradict well-founded estimates based on other evidence. Wide variation between children in the meaning of pain scores precludes easy interpretation. DISCUSSION: We conclude that self-report, when available, can be considered a primary source of evidence about pain intensity. However, it cannot be treated as an unquestioned gold standard. Instead, hierarchical or bundled approaches should be used, taking into account self-report as well as the many individual and contextual factors that influence pain including clinical history, patient preferences, and response to previous treatments. Alternate models are presented to guide further practice and research.
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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 | 0.069 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".