Is It Painful or Not?
Bibliographic record
Abstract
OBJECTIVES: To evaluate the ability of the Behavioral Indicators of Infant Pain (BIIP) scale to discriminate between skin-breaking and nonskin breaking procedures, and to identify sensitized pain responses in preterm infants in the neonatal intensive care unit (NICU). METHODS: Sixty-nine infants born between 24 and 32 weeks gestational age were assessed at 32 weeks postconceptional age during blood collection on one day (procedure A), and then on another day during blood collection preceded by a diaper change (procedure B). Procedure order was randomized. Outcome measures were changes in BIIP coded from continuous bedside video recordings and changes in heart rate (HR). RESULTS: During blood collection (procedure A), BIIP scores (P<0.0001) and mean HR (P<0.0001) were higher than during the diaper change and higher when the infants had had a preceding diaper change (procedure B vs. procedure A) (P<0.03). HR changed from baseline to the stressors for each procedure. No differences in mean HR were observed during Lance phase between the procedure A and the B blood collection; however, HR remained elevated significantly during the Recovery phase when blood collection was preceded by the diaper change (P<0.03). DISCUSSION: The BIIP scale is reliable, accurate, and valid assessment for measuring acute pain in preterm infants in the NICU. This assessment combines the relatively most specific, anatomically based, theoretically derived indicators; and it allows evaluation of behavioral and physiologic pain responses separately.
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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 | 0.010 | 0.009 |
| 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) | 0.001 | 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 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".