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Record W2913615027 · doi:10.21149/9273

A peer-led dental education program for modifying oral self-care in Mexican children

2019· article· en· W2913615027 on OpenAlexaff
Jolanta Aleksejūnienė, Benjamín López-Núñez, Javier de la Fuente‐Hernández

Bibliographic record

VenueSalud Pública de México · 2019
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDental careMedical educationMedicinePsychologyNursingFamily medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To compare peer-led dental education (PLDE) versus conventional dental instruction (CDI) in modifying children's oral self-care. MATERIALS AND METHODS: The intervention group (two schools) received PLDE and the control group (two schools) received CDI. The quality of oral self-care practice (OSC-P) and oral self-care skills (OSC-S) were indicated by dental plaque levels (%) and compared before and after dental education. RESULTS: There were no baseline OSC-P differences between the control (55.8 ± 12.8%) and intervention (55.5 ± 14.6%) groups or OSC-S differences between the intervention (38.5 ± 13.2%) and control (38.1 ± 12.5%) groups. At the three-month follow-up we observed OSC-P deterioration in the control group (63.2 ± 15.0%) and OSC-P improvement in the intervention group (52.2 ± 15.6%). The OSC-P/OSC-S regression models found these predictors: baseline oral self-care, group affiliation, and mother's education (p<0.05). CONCLUSIONS: The hypothesis was confirmed and significant predictors were baseline oral self-care levels, group affiliation, and mother's education.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.141
Threshold uncertainty score0.800

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.328
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.

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

Citations15
Published2019
Admission routes1
Has abstractyes

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