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Record W4213339935 · doi:10.1186/s12887-022-03153-0

Pediatric oral health: community-based participatory research

2022· article· en· W4213339935 on OpenAlexafffundabout
Marcella Ogenchuk, Juanita Graham, Gerry Uswak, Holly Graham, Robert M. Weiler, Vivian R. Ramsden

Bibliographic record

VenueBMC Pediatrics · 2022
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsUniversity of Saskatchewan
FundersSaskatchewan Health Research Foundation
KeywordsParticipatory action researchMedicineThematic analysisCommunity-based participatory researchIndigenousMedical educationDescriptive statisticsLiteracyCommunity healthData collectionCitizen journalismNursingQualitative researchPublic healthPsychologySociology

Abstract

fetched live from OpenAlex

BACKGROUND: The most common chronic disease affecting children in Canada is dental caries. The objective of this study was to explore, identify, and address the strengths and barriers related to oral health services with an independent Indigenous community in Saskatchewan. METHODS: Community-based participatory research used interviews with Elders, health care providers, teachers, and parents/guardians of elementary school-aged children. The research focused on the development of genuine partnerships with the community. During data collection, the findings/results were returned to the community to establish direction, build success, and establish next steps. Thematic analysis was undertaken with the community. Descriptive statistics were analyzed using SPSS. RESULTS: The most commonly identified themes included: community resilience; the need for resource development and process to improve oral health literacy and skills; and how access to care barriers dually affected and related to personal and community cost, time, and human resources. CONCLUSIONS: The research process involved the co-creation of tools to identify strengths within the community and drive opportunities for change; subsequently generating solutions to the practical problems and potentially transform the health system accessed by the community.

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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.353
GPT teacher head0.462
Teacher spread0.109 · 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 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

Citations10
Published2022
Admission routes3
Has abstractyes

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