Dental care utilization: patterns and predictors in persons living with HIV in British Columbia, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: To identify the predisposing, enabling, and need factors of the Andersen and Newman (A&N) model and their associations with the pattern of dental service utilization in a sample of people living with HIV (PLHIV) in British Columbia. METHODS: Participants responded anonymously to a 40-item online questionnaire to explore the patterns of dental service utilization. Following the descriptive statistics, the associations between A&N model factors and main outcome variables (having a dental visit in the last year and reasons for the dental visit) were evaluated using simple and multiple logistic regression analyses. RESULTS: Out of 600 potential PLHIV participants, 210 responded to the survey and 186 met the inclusion criteria. The experience of being discriminated against by dental professionals (P = 0.005), having dental anxiety (P < 0.001), not having dental insurance (P = 0.001), and having living condition difficulties (P = 0.004) were significantly associated with nonemergency dental visits. In multiple logistic regression analysis, dental anxiety (OR = 0.1; 95 percent CI 0.0; 0.4), having a regular dentist (OR = 3.7; 95 percent CI 1.1; 12.6), and visiting a dental office in the last year (OR = 21.6; 95 percent CI 6.1; 76.5) were the strongest predictors of dental service utilization in this study. CONCLUSIONS: Several predisposing, enabling, and need factors from the A&N model were associated with dental service utilization by PLHIV. In addition to various psychosocial barriers, a significant number of respondents reported experiencing stigma and discrimination from their oral care providers.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it