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Record W2415365696 · doi:10.22605/rrh3566

Evaluating the impact of a community developed collaborative project for the prevention of early childhood caries: the Healthy Smile Happy Child project

2015· article· en· W2415365696 on OpenAlexafffundabout
Robert J. Schroth, Jeanette Edwards, Douglas J. Brothwell, Carol Yakiwchuk, Mary Bertone, Bernadette Mellon, Jennifer Ward, Marion Ellis, Khalida Hai‐Santiago, Herenia P. Lawrence, Michael Moffatt

Bibliographic record

VenueRural and Remote Health · 2015
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsUniversity of TorontoManitoba HealthWinnipeg Regional Health AuthorityUniversity of Manitoba
FundersCanadian Institutes of Health ResearchHealth CanadaWinnipeg FoundationCanadian Child Health Clinician Scientist ProgramChildren's Hospital Foundation
KeywordsEarly childhood cariesEarly childhoodCommunity projectMedical educationProgram evaluationPsychologyMedicineOral healthDentistryDevelopmental psychologySociologySocial sciencePolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: To determine the effectiveness of the Healthy Smile Happy Child (HSHC) project, a community-developed initiative promoting early childhood oral health in Manitoba, Canada. Specific aims were to assess improvements in caregiver knowledge, attitudes, and behaviours relating to early childhood oral health, and the burden of early childhood caries (ECC) and severe ECC (S-ECC). METHODS: A serial cross-sectional study design was selected to contrast findings following the Healthy Smile Happy Child (HSHC) campaign in four communities with the previous baseline data. One community was a remote First Nation in northern Manitoba and another was a rural First Nation in southern Manitoba. The other two communities were urban centres, one of which was located in northern Manitoba. A community-development approach was adopted for the project to foster community solutions to address ECC. Goals of the HSHC program were to promote the project in each community, use existing community-based programs and services to deliver the oral health promotion and ECC prevention activities, and recruit and train natural leaders to assist in program development and to deliver the ECC prevention program. The HSHC coordinator worked with communities to develop a comprehensive list of potential strategies to address ECC. Numerous activities occurred in each community to engage members and increase their knowledge of early childhood oral health and ultimately lead them to adopt preventive oral health practices for their young children. Children under 71 months of age and their primary caregivers participated in this follow-up study. A -value ≤0.05 was statistically significant. RESULTS: 319 children (mean age 38.2±18.6 months) and their primary caregivers participated. Significant improvements in caregiver knowledge and attitudes were observed following the HSHC campaign, including that baby teeth are important (98.8%), that decay involving primary teeth can impact on health (94.3%), and the importance of a dental visit by the first birthday (82.4%). Significantly more respondents indicated that their child had visited the dentist (50.2%) and had started brushing their child's teeth (86.7%) when compared to baseline. Overall, 52.0% had ECC, 38.6% had S-ECC. The mean deft score was 3.85±4.97 (range 0-20). There was no significant change is ECC prevalence between the follow-up and baseline investigations. However, age-adjusted logistic regression for S-ECC in this follow-up study revealed a significant reduction in prevalence compared with the baseline study (=0.021). Similarly, age-adjusted Poisson regression revealed that there were significant reductions in both the decayed teeth and decayed, extracted and filled teeth scores between follow-up and baseline study periods (0.016 and .0001, respectively). CONCLUSIONS: Follow-up study results suggest that the HSHC initiative may have contributed to improvements in caregiver knowledge, attitudes, and behaviours towards early childhood oral health and subsequently modest yet statistically significant reductions in caries scores and the prevalence of S-ECC.

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)0.029
metaresearch head score (Gemma)0.014
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.333

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0030.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.115
GPT teacher head0.454
Teacher spread0.339 · 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".

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Citations29
Published2015
Admission routes3
Has abstractyes

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