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Record W2538551929 · doi:10.1093/jpepsy/jsw083

<i>Supervising for Home Safety</i>Program: A Randomized Controlled Trial (RCT) Testing Community-Based Group Delivery

2016· article· en· W2538551929 on OpenAlexafffund
Barbara A. Morrongiello, Sharon Hou, Melissa Bell, Kathryn Walton, A. Jordan Filion, Jess Haines

Bibliographic record

VenueJournal of Pediatric Psychology · 2016
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsUniversity of Guelph
FundersCanadian Institutes of Health Research
KeywordsRandomized controlled trialMedicineVulnerability (computing)Poison controlSuicide preventionInjury preventionPhysical therapyOccupational safety and healthNursingMedical emergency

Abstract

fetched live from OpenAlex

Objective: The individually delivered Supervising for Home Safety (SHS) program improves caregivers' injury-related beliefs and supervision practices. The current randomized controlled trial used a group delivery in a community setting and assessed program impact, feasibility, and acceptance. Methods: Caregivers of 2-5-year-olds were randomized to receive either the SHS or an attention-matched control program. Results: In the SHS group only, there were increases from baseline to postintervention in the following: beliefs about children's vulnerability to injury, caregiver preventability of injuries, and self-efficacy to do so; readiness for change in supervision; and watchful supervision. Face-to-face recruitment by staff at community organizations proved most successful. Caregivers' satisfaction ratings were high, as was caregiver engagement (95% completed at least seven of the nine sessions). Conclusion: The SHS program can be delivered to groups of caregivers in community settings, is positively received by caregivers, and produces desirable changes that can be expected to improve caregivers' home safety practices.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
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 score0.027
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.062
GPT teacher head0.381
Teacher spread0.318 · 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 teacher head, not a consensus.

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

Citations15
Published2016
Admission routes2
Has abstractyes

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