STIGMA AROUND HIV IN DENTAL CARE: PATIENTS' EXPERIENCES.
Bibliographic record
Abstract
Tooth decay and other oral diseases can be highly prevalent among people living with HIV/AIDS (PLWHA). Even though dental professionals are trained to provide equal and non-judgemental services to all, intentional or unintentional biases may exist with regard to PLWHA. We conducted qualitative descriptive research using individual interviews to explore the experiences of PLWHA accessing dental care services in Vancouver, Canada. We interviewed 25 PLWHA, aged 23-67 years; 21 were men and 60% reported fair or poor oral health. Thematic analysis showed evidence of both self-stigma and public stigma with the following themes: fear, self-stigma and dental care; overcoming past offences during encounters with dental care professionals; resilience and reconciliation to achieve quality care for all; and current encounters with dental care providers. Stigma attached to PLWHA is detrimental to oral care. The social awareness of dental professionals must be enhanced, so that they can provide the highest quality care to this vulnerable population.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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".