MétaCan
Menu
Back to cohort
Record W4397006683 · doi:10.4314/ahs.v24i1.30

Knowledge, attitude and practices towards oral health among secondary school students in Huye district, Rwanda

2024· article· en· W4397006683 on OpenAlexaff
John Bayingana M., Geofrey Shyaka, Japheths Ogendi

Bibliographic record

VenueAfrican Health Sciences · 2024
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsKwantlen Polytechnic University
Fundersnot available
KeywordsMedicineOral healthSchool districtFamily medicineMedical educationMathematics education

Abstract

fetched live from OpenAlex

Background: Good oral health knowledge is considered to be crucial for health-related practices and better oral hygiene. Objective: This study was aimed to assess knowledge, attitudes and practices towards oral health among secondary student in Huye district. Methods: A cross-sectional survey was conducted with 386 students from public secondary schools with advanced level. Boarding secondary schools were excluded. Stratified Clustering sampling technique was used for selecting study participants. A closed ended questionnaire was used for collecting data. Results were found on the basis of percentage and frequency using SPSS 21.0 version. Results: The majority of participants, 222 (57.5%) were female and 164 (42.5%) were male. The majority of the participants, 168 (43.5%) were between 15-17 years old. Out of the total population of students 1.8% had good knowledge, 56.2% had average knowledge and 42% had poor knowledge about oral health. Moreover, 56.2% had negative and 43.8% had positive oral health attitudes and overall practice towards oral hygiene of students showed that 74.6 % had poor practice and 24.4% had good practices. Conclusion: Oral hygiene has to be long life practice and oral health education have to be included as part of the school environment.

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)0.003
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 score0.179
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.054
GPT teacher head0.444
Teacher spread0.390 · 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

Citations6
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueAfrican Health SciencesSame topicDental Health and Care UtilizationFrench-language works237,207