Shared decision‐making in older children and parents considering elective adenotonsillectomy
Bibliographic record
Abstract
OBJECTIVES: Shared decision-making describes a collaborative process in which healthcare providers and patients/families make treatment decisions using the best available evidence, while taking into account the patient's values and preferences. The objectives of this study were to assess the level of decisional conflict and shared decision-making experienced by older children and their parents when considering elective adentonsillectomies. DESIGN: A prospective cohort study. SETTING: Paediatric otolaryngology clinic in a teaching hospital. PARTICIPANTS: Participants included 53 children older than 9 years and their parents who underwent consultation for tonsillectomy with or without adenoidectomy. MAIN OUTCOMES MEASURES: Children and parents completed the Decisional Conflict Scale (DCS) and Shared Decision-Making Questionnaire-Patient Version (SDM-Q-9). Surgeons completed the Shared Decision-Making Questionnaire-Physician Version (SDM-Q-Doc). RESULTS: Overall, 10 (19%) parents and 18 (34%) children reported clinically significant decisional conflict. Parents who opted not to proceed with surgery had significantly higher DCS scores than those who decided to proceed with surgery. Both parents and children SDM-Q-9 and total DCS scores were significantly negatively correlated. Physician SDM-Q-Doc and parent total DCS scores were negatively correlated, while parent and physician SDM scores were positively correlated. CONCLUSIONS: Many older children and parents reported significant decisional conflict when considering elective paediatric otolaryngology surgery. Decisional conflict levels for both children and parents decreased with greater perceived levels of shared decision-making. Older children did not appear to discern the same levels of shared decision-making as parents and surgeons. Future research should assess methods to implement shared decision-making into clinical practice for clinicians, parents and children when appropriate.
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".