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Record W4308889045 · doi:10.1016/j.vaccine.2022.09.035

Letting kids play their CARDs (Comfort, Ask, Relax, Distract) to help cope with needle-related fear and pain: Results from user testing

2022· article· en· W4308889045 on OpenAlexafffund
Anna Taddio, Anthony N T Ilersich, Lucie M. Bucci, C. Meghan McMurtry, Victoria Gudzak, Moshe Ipp, Tina Zita, Shenthuraan Tharmarajah, Noni E. MacDonald

Bibliographic record

VenueVaccine · 2022
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsDalhousie UniversityMuscular Dystrophy CanadaRegional Municipality of OttawaMcMaster Children's HospitalHospital for Sick ChildrenUniversity of VictoriaSickKids FoundationCanadian Public Health AssociationInstitute for Clinical Evaluative SciencesUniversity of TorontoUniversity of GuelphUniversity of Waterloo
FundersCanadian Institutes of Health Research
KeywordsCoping (psychology)PsychologyPerceptionAsk priceDistractionApplied psychologyMedicineClinical psychologyCognitive psychology

Abstract

fetched live from OpenAlex

This study examined perceptions of children and parents about a new web-based CARD (Comfort, Ask, Relax, Distract) game that teaches children how to cope with needle-related pain and fear. A convenience sample of 15 child-parent dyads (children, 6-12 years) participated. Children played the game on a handheld device while being virtually monitored. Activity tracking revealed most children engaged with multiple components. Children reported they understood the game, it was easy to play, they learned coping strategies and believed they could implement them. Children reported lower fear of needles after playing. Parents liked the simplicity and variety of game activities. Most children and parents reported they would use the game or its coping strategies for future needles and would recommend the game. In summary, children and parents found the CARD web game acceptable and appropriate. Future studies can evaluate its effectiveness when integrated into upcoming needle procedures like COVID-19 vaccinations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.015
GPT teacher head0.235
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2022
Admission routes2
Has abstractyes

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