Efficacy of the Buzzy® device for pain management of children during needle-related procedures: a systematic review protocol
Bibliographic record
Abstract
BACKGROUND: Needle-related procedures are the most important source of pain in children in hospital setting. Unmanaged pain could result in short- and long-term physiological, psychological, and emotional consequences. Although the efficacy of numerous interventions has been evaluated, procedural pain management is often suboptimal in children undergoing needle-related procedures. The main objective of this systematic review is to examine the evidence for the efficacy of the Buzzy® device for needle-related procedural pain in children. METHODS: An electronic search will be conducted in the following databases: CENTRAL, PubMed, MEDLINE, EMBASE, PsycInfo, and CINAHL. There will be no restriction regarding the language, date of publication, and publication status. Eligible studies will be randomized controlled trials using the Buzzy® device for pain management in children undergoing needle-related procedures. Selection of studies, data extraction and management, assessment of risk of bias and quality of evidence will be performed by two independent reviewers. A third researcher will be consulted in case of discrepancies. Depending on the availability and quality of the data as well as clinical and statistical heterogeneity, a meta-analysis will be performed. Otherwise, findings will be qualitatively reported. DISCUSSION: This will be the first systematic review to examine the efficacy of the Buzzy® device on pain management of children during needle-related procedures. Results of this review will guide clinical practice and recommendations for further research to improve procedural pediatric pain management. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42017076531.
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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 | 0.054 | 0.061 |
| Meta-epidemiology (narrow) | 0.005 | 0.005 |
| Meta-epidemiology (broad) | 0.019 | 0.014 |
| Bibliometrics | 0.013 | 0.010 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.061 | 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".