Parental anxiety and catastrophizing in pediatric tonsillectomy pain control: A multivariate analysis
Bibliographic record
Abstract
Parental anxiety and/or catastrophizing may bias the interpretation of children's pain and administration of analgesia post-tonsillectomy. We aimed to determine whether high levels of parental anxiety and/or catastrophizing impact child pain intensity interpretation and administration of analgesia. Child-parent dyads were recruited from a tertiary care institution between July 2017–December 2019. Preoperative parental anxiety and catastrophizing were assessed using self-report measures. Postoperative data on child and parent pain intensity, as well as analgesia use, were collected up to 2 weeks post-surgery. Multivariable logistic regression models were created to assess predictors of postoperative child pain intensity and analgesia use. Our cohort included 234 child-parent dyads. Median child age was 5 years (IQR, 4–6), and 9.0 % of children (n = 21) had a medical comorbidity. Both child- and parent-reported pain intensity were highest on postoperative day 2 (3.65 [SD = 3.08] and 3.67 [SD = 2.51], respectively). Parental catastrophizing did not predict analgesia use at home, although a minimal significant decrease in the odds of analgesia administration was observed on postoperative day 7 (OR 0.932, p = 0.017). Maximal parental anxiety did not predict higher odds of increased child postoperative pain intensity on any postoperative day. Parental catastrophizing prior to tonsillectomy has minimal predictive value for analgesia use postoperatively. Children may be successfully advocating for their own pain control as parental anxiety and catastrophizing do not appear to be unduly influencing analgesia administration. Future studies should explore the impact of parental anxiety on vulnerable pediatric populations who may be unable to self-advocate for pain management. • Parental catastrophizing has minimal predictive value for postoperative analgesia administration following tonsillectomy. • Parental anxiety is not predictive of child postoperative pain intensity following tonsillectomy. • Children may be successfully advocating for their own pain control following tonsillectomy. • Studies should explore the impact of parental anxiety on vulnerable patients who cannot self-advocate for pain management.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".