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Record W2135495637 · doi:10.1177/1039856213486308

Oral health of patients on psychotropic medications: a study of outpatients in Queensland

2013· article· en· W2135495637 on OpenAlexaboutno aff
Ratilal Lalloo, Steve Kisely, Hemantha Amarasinghe, Roshnal Perera, Newell W. Johnson

Bibliographic record

VenueAustralasian Psychiatry · 2013
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsnot available
FundersQueensland Health
KeywordsMedicineQuarter (Canadian coin)Oral healthConfidence intervalPopulationDental careFamily medicinePsychiatryEnvironmental healthGeography

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe the oral health of psychiatric patients on psychotropic medication, and compare this to Queensland and national data. METHODS: We interviewed and examined 50 patients on medication at two outpatient clinics in South-east Queensland, in 2010. These areas had unfluoridated water till 2009. RESULTS: One-third of the sample had not visited a dentist in the previous 2 years. One-half reported brushing their teeth once a day; 11% stated they never brushed. The mean of decayed, missing and filled teeth (DMFT) was 17.7 (95% confidence interval (CI) = 16.9 - 18.5), significantly higher than the state (13.1) and national (12.8) averages. Almost one-half of dental decay was untreated, compared to the state and national average of one-quarter. CONCLUSIONS: The oral health of this subgroup within the community is substantially worse than the general population and there are substantially greater treatment needs. Achieving equity in oral health care for these individuals has substantial resource and management implications.

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 score0.008
Threshold uncertainty score0.564

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 head0.017
GPT teacher head0.334
Teacher spread0.316 · 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

Citations31
Published2013
Admission routes1
Has abstractyes

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