Tablet-Based Intervention for Reducing Children's Preoperative Anxiety: A Pilot Study
Bibliographic record
Abstract
OBJECTIVES: To examine the feasibility, acceptability, and effects of a novel tablet-based application, Story-Telling Medicine (STM), in reducing children's preoperative anxiety. METHODS: Children (N = 100) aged 7 to 13 years who were undergoing outpatient surgery were recruited from a local children's hospital. This study comprised 3 waves: Waves 1 (n = 30) and 2 (n = 30) examined feasibility, and Wave 3 (n = 40) examined the acceptability of STM and compared its effect on preoperative anxiety to Usual Care (UC). In Wave 3, children were randomly allocated to receive STM+UC or UC. A change in preoperative anxiety was measured using the Children's Perioperative Multidimensional Anxiety Scale (CPMAS) 7 to 14 days before surgery (T1), on the day of surgery (T2), and 1 month postoperatively (T3). RESULTS: Wave 1 demonstrated the feasibility of participant recruitment and data collection procedures but identified challenges with attrition at T2 and T3. Wave 2 piloted a modified protocol that addressed attrition and increased the feasibility of follow-up. In Wave 3, children in the STM+UC demonstrated greater reductions in CPMAS compared with the UC group (ΔM = 119.90, SE = 46.36, t(27) = 2.59, p = .015; 95% confidence interval = 24.78-215.02). CONCLUSION: This pilot study provides preliminary evidence that STM is a feasible and acceptable intervention for reducing children's preoperative anxiety in a busy pediatric operative setting and supports the investigation of a full-scale randomized controlled trial.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".