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Record W2609053372 · doi:10.1093/pch/pxx040

Parent-led interventions in reducing infant vaccination pain after participation in a longitudinal randomized control trial

2017· article· en· W2609053372 on OpenAlexaff
C. J. McNair, Many Fung, Anna Taddio, Moshe Ipp, Steven M. Moss, Stephen Baker, Jonathan Tolkin, Malini Dave, Sharmeen Feerasta, Preeya Govan, Rebecca Pillai Riddell

Bibliographic record

VenuePaediatrics & Child Health · 2017
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsCanadian Paediatric SocietyYork UniversityUniversity of Toronto
FundersPfizer
KeywordsRandomized controlled trialPsychological interventionMedicineVaccinationPediatricsPhysical therapyPsychiatryInternal medicineImmunology

Abstract

fetched live from OpenAlex

Evidence is accumulating on the negative short- and long-term ramifications associated with poorly mitigated vaccine injection pain in infants including high levels of infant and parental distress, dissatisfaction with the vaccination experience, development of needle fears, and future noncompliance with immunization and other health care interventions involving needles (1). The use of pain mitigation interventions is therefore clinically important and considered by the World Health Organization to be part of good immunization practice (2). At present, utilization of pain mitigation strategies during vaccination is suboptimal (3). We sought to examine parental patterns of pain mitigation strategy utilization during vaccination in infants after participation in a vaccination analgesic trial whereby parents learned about and had experience using a variety of different analgesic strategies (4). The primary research question was: What is the rate of uptake of analgesic strategies by parents during childhood vaccinations after participation in the trial? We conducted a prospective, observational study including parent–infant dyads who participated in a longitudinal randomized controlled trial of analgesia for infant vaccination injections. The details of the methodology for the randomized controlled trial are reported elsewhere (4). Briefly, infants were randomized to four different analgesic regimens of increasing intensity for 2-, 4-, 6- and 12-month vaccinations: 1) standard care (placebo control), 2) parent-directed educational video (video) with information about acting calm, cuddling and distracting infants, 3) video and oral sucrose solution (sucrose), and 4) video and sucrose and liposomal lidocaine cream (lidocaine). In all groups, procedural techniques to minimize pain were used including injecting without aspiration, and injecting the most painful vaccine last (4). Treatments were given in the clinics of seven participating paediatricians in a blinded manner. Randomization was performed offsite by the research pharmacy at The Hospital for Sick Children using a computer randomization table and allocation was concealed using a matched placebo for all interventions (i.e., double-dummy design) (4). At the 15-month vaccination, all infants received all the active interventions in an open manner. Parents were then informed about how to make sucrose solution and where to purchase topical anesthetics for future vaccinations as they were not available at the clinics after the 15-month vaccination.

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)0.020
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.037
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.032
GPT teacher head0.372
Teacher spread0.341 · 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 designRandomized trial
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

Citations6
Published2017
Admission routes1
Has abstractyes

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