Availability of Medical and Oral Health Services for People Living with HIV in British Columbia, Canada.
Bibliographic record
Abstract
OBJECTIVES: To conduct an environmental scan and categorize the scope of medical and oral health care services for people living with HIV (PLWHIV) across the province of British Columbia (BC). METHODS: Data were collected using online search engines such as Google and Yahoo, as well as the websites of health services agencies and community/not-for-profit organizations in BC. Informal telephone conversations were conducted to confirm findings from the online scan. Available services were categorized in terms of scope (e.g., prevention, treatment or support) and geographic location in relation to the latest rates of new HIV infections per 100 000 people. In 2014, the number of people in BC known to be infected with HIV was 12 100, with the rate of new infections at 261 per 100 000 people. RESULTS: We identified 104 organizations that were providing services exclusively for PLWHIV; these organizations were unevenly distributed across 40 out of 51 cities in BC. Of all the services offered at these organizations, 59% were preventive and educational in nature, 15% were related to treatment services for HIV-related conditions and 38% entailed support services including social assistance. Only 3% of the 104 organizations offered basic dental care. Services of any kind tended to cluster around metropolitan areas of high HIV prevalence, including Vancouver, while northern BC remains underserved despite having the second highest rate of new HIV infections in the province. CONCLUSIONS: This study reveals a mismatch between the number and scope of services available for PLWHIV and the distribution of HIV infection across BC. Almost half of the services identified by the environmental scan were preventive, and only 3% offered some form of dental treatment exclusively to PLWHIV in BC.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".