A Therapeutic Educational Program in Oral Health for Persons with Schizophrenia: A Qualitative Feasibility Study
Bibliographic record
Abstract
Objective. The aim of this study was to test the feasibility of a therapeutic educational program in oral health (TEPOH) for persons with schizophrenia (PWS). Design. In a qualitative study, we explored the representation of oral health before and after a TEPOH. Clinical Setting: PWS are at greater risk of decayed and missing teeth and periodontal diseases. In a previous publication, we described the different steps in building a TEPOH by taking into account the experiences of PWS concerning oral health quality of life. This TEPOH aimed at promoting a global health approach. Participants: Voluntary PWS and their caregivers were recruited during face-to-face interviews at “Les Boisseaux” (a psychiatric outpatient centre) in Auxerre (France) and were included in the study between November and December 2016. Intervention: We explored the experiences of participants and their perceptions of oral health before and after the TEPOH with focus group meetings. Results. Four females and three males participated in the study, and the mean age was 29.4 ± 5. Before the TEPOH, the PWS produced 28 ideas about oral health perception and 37 after the TEPOH. After the TEPOH, elements relating to the determinants of oral health (smoking and poor diet) emerged. Conclusions. These results show an evolution in oral health representation, and after some adjustments to the TEPOH, the second step will be to test this program in a large sample to generate a high level of evidence of the impact of TEPOH in the long term.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".