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The self-reported oral health status and behaviors of adults who are deaf and blind

2009· article· en· W2072888826 on OpenAlexaffabout
Elvine Y.W. Jin, B D Daly

Bibliographic record

VenueSpecial Care in Dentistry · 2009
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsInstitute of Population and Public Health
Fundersnot available
KeywordsMedicinePsychological interventionOral healthOral hygieneFamily medicineDental healthHealth careDental hygieneGerontologyNursingDentistry

Abstract

fetched live from OpenAlex

This qualitative study explored perceived oral health, felt need, oral health knowledge and behaviors, and utilization of dental services among a community of deaf and blind adults in Toronto, Canada. Seven adults participated in in depth interviews facilitated by intervenors skilled in communication with people who are deaf and blind. Subjects reported that their oral health was good, however oral health knowledge was poor and daily oral hygiene practices were minimal. Few subjects had ever received dental health education and were largely unaware of how to prevent dental disease. A subsidized dental program enabled subjects to have regular dental visits, though they were concerned about the costs of more complex dental treatment not covered by the program. They also worried about finding an alternative source of care once their eligibility for the program ceased at the age of 65. The presence of the subsidized sympathetic dental program and the facilitative role of intervenors promoted utilization of dental care for many of the subjects who participated in this study. There is a clear need to develop appropriate dental health education programs for this group of people, which would harness the support of the community of deaf and blind people and their intervenors. The interventions need to be sensitive and appropriate for the individual's level of impairment.

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 score0.170
Threshold uncertainty score0.335

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 head0.030
GPT teacher head0.372
Teacher spread0.342 · 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

Citations14
Published2009
Admission routes2
Has abstractyes

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