Systematic review protocol examining the effectiveness of hospital clowns for symptom cluster management in paediatrics
Bibliographic record
Abstract
Introduction Clown intervention may playing an important complementary role in paediatric care and recovery. However, data on its utility for symptom cluster management of hospitalised children and adolescents in acute and chronic disorders are yet to be critically evaluated. As clinicians strive to minimise the psychological burden during hospitalisation, it is important that they are aware of the scientific evidences available regarding clown intervention for symptom management. We aim to provide quality evidence for the effectiveness of clown intervention on symptom cluster management in paediatric inpatients, both in acute and chronic conditions. Methods and analysis A systematic review of randomised controlled trials (RCTs) and non-randomised controlled trials (NRCTs) will be conducted. MEDLINE, Web of Science, Cochrane Library, Science Direct, PsycINFO, CINAHL, LILACS and SciELO databases will be searched from January 2000 to December 2018. Primary outcomes will include measures related with the effect of clown intervention on symptom cluster of paediatric inpatients (anxiety, depression, pain, fatigue, stress and psychological, emotional responses and perceived well-being). Study selection will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, and the methodological appraisal of the studies will be assessed by the Jadad Scale as well as Cochrane Risk-of-Bias Tool for RCTs, and Risk-of-Bias In Non-Randomized Studies Tool for NRCTs. A narrative synthesis will be conducted for all included studies. Also, if sufficient data are available, a meta-analysis will be conducted. The effect sizes will be generated using Hedges’ g score for both fixed and random effect models. I 2 statistics will be used to assess heterogeneity and identify their potential sources. Ethics and dissemination As it will be a systematic review, without human beings involvement, there will be no requirement for ethical approval. Findings will be disseminated widely through peer-reviewed publication and in various media, for example, conferences, congresses or symposia. Trial registration number CRD42018107099.
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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 | 0.083 | 0.121 |
| Meta-epidemiology (narrow) | 0.006 | 0.005 |
| Meta-epidemiology (broad) | 0.032 | 0.019 |
| Bibliometrics | 0.017 | 0.015 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.070 | 0.007 |
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".