Clown Intervention on Psychological Stress and Fatigue in Pediatric Patients With Cancer Undergoing Chemotherapy
Bibliographic record
Abstract
BACKGROUND: Clown intervention has been shown to enhance emotional and behavioral processes, but few studies have comprehensively examined the effectiveness of this practice using biomarkers. OBJECTIVE: The aim of this study was to evaluate the effect of a clown intervention on the levels of psychological stress and cancer-related fatigue in pediatric patients with cancer undergoing chemotherapy. METHODS: Sixteen patients who met all criteria from a pediatric oncology inpatient unit in a Brazilian comprehensive cancer care hospital participated in this quasi-experimental study. Eight saliva samples were collected, comprising 4 at baseline and 4 after clown intervention (+1, +4, +9, and +13 hours after awakening). Salivary cortisol and α-amylase levels were determined using high-sensitivity enzyme-linked immunosorbent assay kits. Stress and fatigue were measured by the Child Stress Scale-ESI and the PedsQL Multidimensional Fatigue Scale, respectively. Relationships among stress, fatigue, and biomarker levels were investigated using nonparametric statistics. RESULTS: In comparison with baseline measurements, the total psychological stress and fatigue levels improved after the clown intervention at the collection time point +4 hours (P = .003 and P = .04, respectively). Salivary cortisol showed a significant decrease after clown intervention at the collection time points +1, +9, and +13 hours (P < .05); however, α-amylase levels remained unchanged. CONCLUSION: These findings provide preliminary evidence that clown intervention merits further study as a way to reduce stress and fatigue in pediatric cancer inpatients, and that self-report and biomarker measures are feasible to collect in this patient group. IMPLICATIONS FOR PRACTICE: Clown intervention as a nonpharmacological intervention may improve stress and fatigue levels in pediatric inpatients with cancer undergoing chemotherapy.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".