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Record W3083051309 · doi:10.3390/children7090126

Student Feedback to Tailor the CARD™ System for Improving the Immunization Experience at School

2020· article· en· W3083051309 on OpenAlexaff
Charlotte Logeman, Anna Taddio, C. Meghan McMurtry, Lucie M. Bucci, Noni E. MacDonald, Garth Chalmers, Victoria Gudzak, Vibhuti Shah, Joanne Coldham, Cheri Little, Tracy Samborn, Cindy Dribnenki, Joanne Snider

Bibliographic record

VenueChildren · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsMount Sinai HospitalHospital for Sick ChildrenUniversity of GuelphAlberta Health ServicesMcMaster Children's HospitalCanadian Public Health AssociationDalhousie UniversityUniversity of Toronto
Fundersnot available
KeywordsReport cardMedical educationFocus groupPsychological interventionPsychologyPerceptionQualitative propertyQualitative researchMedicineComputer sciencePedagogyNursing

Abstract

fetched live from OpenAlex

Increasing the comfort of vaccine delivery at school is needed to improve the immunization experience for students. We created the CARD™ (C—Comfort, A—Ask, R—Relax and D—Distract) system to address this clinical care gap. Originally designed for grade 7 students, this study examined the perceptions of grade 9 students of CARD™. Grade 9 students who had experience with school-based immunizations, either as recipients or onlookers (n = 7; 100% females 14 years old) participated. Students answered pre–post surveys, reviewed CARD™ educational materials and participated in a semi-structured focus group discussion. The Consolidated Framework for Implementation Research (CFIR) was used as the framework for analysis of qualitative data. Participants reported positive perceptions of CARD™ educational materials and that CARD™ could fit into the school immunization process. CARD™ improved knowledge about effective coping interventions and was recommended for education of both nurses and students. The results provide preliminary evidence that CARD™ is acceptable and appropriate for implementation in grade 9 school-based immunizations.

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)0.015
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.047
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.004

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 head0.287
GPT teacher head0.568
Teacher spread0.281 · 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 designQualitative
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

Citations7
Published2020
Admission routes1
Has abstractyes

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