The experiences of people living with environmental sensitivities concerning oral health and access to dental services
Bibliographic record
Abstract
PURPOSE: Because people living with environmental sensitivities are poorly acknowledged in our society, we still know very little about their experiences navigating in the health care system, especially with respect to dental services. Our objective, therefore, was to describe their dental care pathway and better understand their experiences accessing oral health services. MATERIALS AND METHODS: A qualitative descriptive study was conducted in partnership with organizations supporting people with environmental sensitivities. Through a criterion sampling technique, 12 people living with environmental sensitivities in Quebec (Canada) were invited to participate in individual semi-structured interviews. These interviews lasted around 90 min and were transcribed to be thematically analysed. RESULTS: Participants faced major barriers accessing dental services and thus lived for long periods of time with unmet dental needs. Their dental care pathways were often delayed or even interrupted for several reasons. First because they were exposed to pollutants upon leaving their house, which rendered their trip to the dentist perilous. Second because dentists lacked knowledge about environmental sensitivities and seemed reluctant to accommodate them. CONCLUSIONS: We invite governments, dental professionals, and researchers to develop policies and clinical approaches for improving people living with environmental sensitivities' quality of life and access to dental services.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 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".